메뉴 건너뛰기




Volumn 17, Issue 2, 2014, Pages 73-93

Medical image registration: A review

Author keywords

computational methods; geometrical transformations; image alignment, matching, warping; image analysis; optimisation; similarity measures

Indexed keywords

ACCURACY ASSESSMENT; GEOMETRIC TRANSFORMATIONS; GEOMETRICAL TRANSFORMATION; IMAGE ALIGNMENT; MEDICAL FIELDS; OPTIMISATIONS; REGISTRATION METHODS; SIMILARITY MEASURE;

EID: 84890783120     PISSN: 10255842     EISSN: 14768259     Source Type: Journal    
DOI: 10.1080/10255842.2012.670855     Document Type: Article
Times cited : (641)

References (278)
  • 2
    • 0034140302 scopus 로고    scopus 로고
    • Elastic matching of diffusion tensor images
    • AlexanderDC, GeeJC. 2000. Elastic matching of diffusion tensor images. Comput Vis Image Und. 77:233-250.
    • (2000) Comput Vis Image Und , vol.77 , pp. 233-250
    • Alexander, D.C.1    Gee, J.C.2
  • 3
    • 0025184288 scopus 로고
    • The principal axes transformation - a method for image registration
    • AlpertNM, BradshawJF, KennedyD, CorreiaJA. 1990. The principal axes transformation - a method for image registration. J Nucl Med. 31(10):1717-1722.
    • (1990) J Nucl Med , vol.31 , Issue.10 , pp. 1717-1722
    • Alpert, N.M.1    Bradshaw, J.F.2    Kennedy, D.3    Correia, J.A.4
  • 6
    • 38849118482 scopus 로고    scopus 로고
    • Non-rigid registration of multi-modal images using both mutual information and cross-correlation
    • AndronacheA, SiebenthalMv, SzékelyG, CattinP. 2008. Non-rigid registration of multi-modal images using both mutual information and cross-correlation. Med Image Anal.12:3-15.
    • (2008) Med Image Anal. , vol.12 , pp. 3-15
    • Andronache, A.1    Siebenthal, M.2    Székely, G.3    Cattin, P.4
  • 8
    • 34548832230 scopus 로고    scopus 로고
    • A fast diffeomorphic image registration algorithm
    • AshburnerJ. 2007. A fast diffeomorphic image registration algorithm. NeuroImage. 38:95-113.
    • (2007) NeuroImage , vol.38 , pp. 95-113
    • Ashburner, J.1
  • 9
    • 0032799995 scopus 로고    scopus 로고
    • High-dimensional image registration using symmetric priors
    • AshburnerJ, AnderssonJLR, FristonKJ. 1999. High-dimensional image registration using symmetric priors. NeuroImage. 9:619-628.
    • (1999) NeuroImage , vol.9 , pp. 619-628
    • Ashburner, J.1    Andersson, J.L.R.2    Friston, K.J.3
  • 10
    • 0032970425 scopus 로고    scopus 로고
    • Nonlinear spatial normalization using basis functions
    • AshburnerJ, FristonKJ. 1999. Nonlinear spatial normalization using basis functions. Hum Brain Mapp. 7:254-266.
    • (1999) Hum Brain Mapp , vol.7 , pp. 254-266
    • Ashburner, J.1    Friston, K.J.2
  • 11
    • 17544381376 scopus 로고    scopus 로고
    • An automatic nonrigid registration for stained histological sections
    • AuerM, RegitnigP, HolzapfelGA. 2005. An automatic nonrigid registration for stained histological sections. IEEE Trans Image Process.14(4):475-486.
    • (2005) IEEE Trans Image Process. , vol.14 , Issue.4 , pp. 475-486
    • Auer, M.1    Regitnig, P.2    Holzapfel, G.A.3
  • 13
    • 79551592964 scopus 로고    scopus 로고
    • Motion correction and attenuation correction for respiratory gated PET images
    • BaiW, BradySM. 2011. Motion correction and attenuation correction for respiratory gated PET images. IEEE Trans Med Imaging. 30(2):351-365.
    • (2011) IEEE Trans Med Imaging , vol.30 , Issue.2 , pp. 351-365
    • Bai, W.1    Brady, S.M.2
  • 15
    • 35048864502 scopus 로고    scopus 로고
    • Improvement of modal matching image objects in dynamic pedobarography using optimization techniques
    • In: Perales FJ, Draper BA, editors Berlin/Heidelberg,: Springer/2004
    • BastosLF, TavaresJMRS. 2004. Improvement of modal matching image objects in dynamic pedobarography using optimization techniques. In: PeralesFJ, DraperBA, editors. Articulated motion and deformable objects - Lecture notes in computer science. Vol. 3179/2004, Berlin/Heidelberg: Springer. p. 39-50.
    • (2004) Articulated motion and deformable objects - Lecture notes in computer science , vol.3179 , pp. 39-50
    • Bastos, L.F.1    Tavares, J.M.R.S.2
  • 16
    • 67349134820 scopus 로고    scopus 로고
    • The use of geometric algebra for 3D modeling and registration of medical data
    • Bayro-CorrochanoE, Rivera-RoveloJ. 2009. The use of geometric algebra for 3D modeling and registration of medical data. J Math Imaging Vis. 34:48-60.
    • (2009) J Math Imaging Vis , vol.34 , pp. 48-60
    • Bayro-Corrochano, E.1    Rivera-Rovelo, J.2
  • 17
    • 5444276422 scopus 로고    scopus 로고
    • Computing large deformation metric mappings via geodesic flows of diffeomorphisms
    • BegMF, MillerMI, TrouvéA, YounesL. 2005. Computing large deformation metric mappings via geodesic flows of diffeomorphisms. Int J Comput Vis. 61(2):139-157.
    • (2005) Int J Comput Vis , vol.61 , Issue.2 , pp. 139-157
    • Beg, M.F.1    Miller, M.I.2    Trouvé, A.3    Younes, L.4
  • 20
    • 68249087871 scopus 로고    scopus 로고
    • Accelerated nonrigid intensity-based image registration using importance sampling
    • BhagaliaR, FesslerJA, KimB. 2009. Accelerated nonrigid intensity-based image registration using importance sampling. IEEE Trans Med Imaging. 28(8):1208-1216.
    • (2009) IEEE Trans Med Imaging , vol.28 , Issue.8 , pp. 1208-1216
    • Bhagalia, R.1    Fessler, J.A.2    Kim, B.3
  • 21
    • 0024104158 scopus 로고
    • Hierarchical chamfer matching: a parametric edge matching algorithm
    • BorgeforsG. 1988. Hierarchical chamfer matching: a parametric edge matching algorithm. IEEE Trans Patt Anal Mach Intell.10(6):849-865.
    • (1988) IEEE Trans Patt Anal Mach Intell. , vol.10 , Issue.6 , pp. 849-865
    • Borgefors, G.1
  • 23
    • 21144441919 scopus 로고    scopus 로고
    • Accuracy of finite element model-based multi-organ deformable image registration
    • BrockKK, SharpeMB, DawsonLA, KimSM, JaffrayDA. 2005. Accuracy of finite element model-based multi-organ deformable image registration. Med Phys.32(6):1647-1659.
    • (2005) Med Phys. , vol.32 , Issue.6 , pp. 1647-1659
    • Brock, K.K.1    Sharpe, M.B.2    Dawson, L.A.3    Kim, S.M.4    Jaffray, D.A.5
  • 25
    • 0026967479 scopus 로고
    • A survey of image registration techniques
    • BrownLG. 1992. A survey of image registration techniques. ACM Comput Surv. 24(4):325-376.
    • (1992) ACM Comput Surv , vol.24 , Issue.4 , pp. 325-376
    • Brown, L.G.1
  • 27
    • 0022808786 scopus 로고
    • A computational approach to edge detection
    • CannyJ. 1986. A computational approach to edge detection. IEEE Trans Patt Anal Mach Intell. 8(6):679-698.
    • (1986) IEEE Trans Patt Anal Mach Intell , vol.8 , Issue.6 , pp. 679-698
    • Canny, J.1
  • 28
    • 25144478315 scopus 로고    scopus 로고
    • Large deformation diffeomorphic metric mapping of vector fields
    • CaoY, MillerMI, WinslowRL, YounesL. 2005. Large deformation diffeomorphic metric mapping of vector fields. IEEE Trans Med Imaging. 24(9):1216-1230.
    • (2005) IEEE Trans Med Imaging , vol.24 , Issue.9 , pp. 1216-1230
    • Cao, Y.1    Miller, M.I.2    Winslow, R.L.3    Younes, L.4
  • 29
    • 73849136012 scopus 로고    scopus 로고
    • Automated 3D motion tracking using Gabor filter bank, robust point matching, and deformable models
    • ChenT, WangX, ChungS, MetaxasD, AxelL. 2010. Automated 3D motion tracking using Gabor filter bank, robust point matching, and deformable models. IEEE Trans Med Imaging. 29(1):1-11.
    • (2010) IEEE Trans Med Imaging , vol.29 , Issue.1 , pp. 1-11
    • Chen, T.1    Wang, X.2    Chung, S.3    Metaxas, D.4    Axel, L.5
  • 31
    • 79960221275 scopus 로고    scopus 로고
    • A multi-resolution scheme for distortion-minimizing mapping between human subcortical structures based on geodesic construction on Riemannian manifolds
    • ChoY, SeongJ-K, ShinSY, JeongY, KimJH, QiuA, ImK, LeeJM, NaDL. 2011. A multi-resolution scheme for distortion-minimizing mapping between human subcortical structures based on geodesic construction on Riemannian manifolds. NeuroImage. 57:1376-1392.
    • (2011) NeuroImage , vol.57 , pp. 1376-1392
    • Cho, Y.1    Seong, J.-K.2    Shin, S.Y.3    Jeong, Y.4    Kim, J.H.5    Qiu, A.6    Im, K.7    Lee, J.M.8    Na, D.L.9
  • 34
  • 37
    • 0028917988 scopus 로고
    • Registration of ocular fundus images: an algorithm using cross-correlation of triple invariant image descriptors
    • CideciyanAV. 1995. Registration of ocular fundus images: an algorithm using cross-correlation of triple invariant image descriptors. IEEE Eng Med Biol Mag. 14(1):52-58.
    • (1995) IEEE Eng Med Biol Mag , vol.14 , Issue.1 , pp. 52-58
    • Cideciyan, A.V.1
  • 40
    • 0000347410 scopus 로고    scopus 로고
    • ANIMAL: validation and applications of non-linear registration-based segmentation
    • CollinsDL, EvansAC. 1997. ANIMAL: validation and applications of non-linear registration-based segmentation. Int J Patt Recogn Artif Intell. 11(8):1271-1294.
    • (1997) Int J Patt Recogn Artif Intell , vol.11 , Issue.8 , pp. 1271-1294
    • Collins, D.L.1    Evans, A.C.2
  • 42
  • 43
    • 0142260970 scopus 로고    scopus 로고
    • A viscous fluid model for multimodal non-rigid image registration using mutual information
    • D'AgostinoE, MaesF, VandermeulenD, SuetensP. 2003. A viscous fluid model for multimodal non-rigid image registration using mutual information. Med Image Anal. 7:565-575.
    • (2003) Med Image Anal , vol.7 , pp. 565-575
    • D'Agostino, E.1    Maes, F.2    Vandermeulen, D.3    Suetens, P.4
  • 44
    • 79952170040 scopus 로고    scopus 로고
    • General approach to first-order error prediction in rigid point registration
    • DanilchenkoA, FitzpatrickJM. 2011. General approach to first-order error prediction in rigid point registration. IEEE Trans Med Imaging. 30(3):679-693.
    • (2011) IEEE Trans Med Imaging , vol.30 , Issue.3 , pp. 679-693
    • Danilchenko, A.1    Fitzpatrick, J.M.2
  • 45
    • 0031128523 scopus 로고    scopus 로고
    • Spatial transformation and registration of brain images using elastically deformable models
    • DavatzikosC. 1997. Spatial transformation and registration of brain images using elastically deformable models. Comput Vis Image Und. 66(2):207-222.
    • (1997) Comput Vis Image Und , vol.66 , Issue.2 , pp. 207-222
    • Davatzikos, C.1
  • 47
    • 0033021733 scopus 로고    scopus 로고
    • Automatic three-dimensional multimodality registration using radionuclide transmission CT attenuation maps: a phantom study
    • DeyD, SlomkaPJ, HahnLJ, KloiberR. 1999. Automatic three-dimensional multimodality registration using radionuclide transmission CT attenuation maps: a phantom study. J Nucl Med.40:448-455.
    • (1999) J Nucl Med. , vol.40 , pp. 448-455
    • Dey, D.1    Slomka, P.J.2    Hahn, L.J.3    Kloiber, R.4
  • 48
    • 0029394917 scopus 로고
    • Iterative principal axes registration method for analysis of MR-PET brain images
    • DhawanAP, ArataLK, LevyAV, MantilJ. 1995. Iterative principal axes registration method for analysis of MR-PET brain images. IEEE Trans Biomed Eng. 22(11):1079-1087.
    • (1995) IEEE Trans Biomed Eng , vol.22 , Issue.11 , pp. 1079-1087
    • Dhawan, A.P.1    Arata, L.K.2    Levy, A.V.3    Mantil, J.4
  • 50
    • 14544277168 scopus 로고    scopus 로고
    • First order error propagation of the Procrustes method for 3D attitude estimation
    • DorstL. 2005. First order error propagation of the Procrustes method for 3D attitude estimation. IEEE Trans Patt Anal Mach Intell. 27(2):221-229.
    • (2005) IEEE Trans Patt Anal Mach Intell , vol.27 , Issue.2 , pp. 221-229
    • Dorst, L.1
  • 52
    • 77958059264 scopus 로고    scopus 로고
    • Automatic correspondence on medical images: a comparative study of four methods for allocating corresponding points
    • EconomopoulosTL, AsvestasPA, MatsopoulosGK. 2010. Automatic correspondence on medical images: a comparative study of four methods for allocating corresponding points. J Digital Imaging. 23(4):399-421.
    • (2010) J Digital Imaging , vol.23 , Issue.4 , pp. 399-421
    • Economopoulos, T.L.1    Asvestas, P.A.2    Matsopoulos, G.K.3
  • 57
    • 6344265714 scopus 로고    scopus 로고
    • Intensity-based image registration with a guaranteed one-to-one point match
    • FischerB, ModersitzkiJ. 2004. Intensity-based image registration with a guaranteed one-to-one point match. Method Inform Med. 43:327-330.
    • (2004) Method Inform Med , vol.43 , pp. 327-330
    • Fischer, B.1    Modersitzki, J.2
  • 58
    • 44449178240 scopus 로고    scopus 로고
    • Ill-posed medicine - an introduction to image registration
    • FischerB, ModersitzkiJ. 2008. Ill-posed medicine - an introduction to image registration. Inverse Probl.24(3):1-16.
    • (2008) Inverse Probl. , vol.24 , Issue.3 , pp. 1-16
    • Fischer, B.1    Modersitzki, J.2
  • 59
    • 0019574599 scopus 로고
    • Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
    • FischlerM, BollesR. 1981. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun ACM. 24(6):381-395.
    • (1981) Commun ACM , vol.24 , Issue.6 , pp. 381-395
    • Fischler, M.1    Bolles, R.2
  • 60
  • 62
    • 0344464978 scopus 로고    scopus 로고
    • A registration-based approach to quantify flow-mediated dilation (FMD) of the brachial artery in ultrasound image sequences
    • FrangiAF, LaclaustraM, LamataP. 2003. A registration-based approach to quantify flow-mediated dilation (FMD) of the brachial artery in ultrasound image sequences. IEEE Trans Med Imaging. 22(11):1458-1469.
    • (2003) IEEE Trans Med Imaging , vol.22 , Issue.11 , pp. 1458-1469
    • Frangi, A.F.1    Laclaustra, M.2    Lamata, P.3
  • 63
    • 0031694255 scopus 로고    scopus 로고
    • Modeling brain deformations in alzheimer disease by fluid registration of serial 3D MR images
    • FreeboroughPA, FoxNC. 1998. Modeling brain deformations in alzheimer disease by fluid registration of serial 3D MR images. J Comput Assist Tomo. 22(5):838-843.
    • (1998) J Comput Assist Tomo , vol.22 , Issue.5 , pp. 838-843
    • Freeborough, P.A.1    Fox, N.C.2
  • 67
    • 0346882747 scopus 로고    scopus 로고
    • A deformable digital brain atlas system according to Talairach and Tournoux
    • GanserKA, DickhausH, MetznerR, WirtzCR. 2004. A deformable digital brain atlas system according to Talairach and Tournoux. Med Image Anal. 8:3-22.
    • (2004) Med Image Anal , vol.8 , pp. 3-22
    • Ganser, K.A.1    Dickhaus, H.2    Metzner, R.3    Wirtz, C.R.4
  • 68
    • 77957563337 scopus 로고    scopus 로고
    • A coupled global registration and segmentation framework with application to magnetic resonance prostate imagery
    • GaoY, SandhuR, FichtingerG, TannenbaumAR. 2010. A coupled global registration and segmentation framework with application to magnetic resonance prostate imagery. IEEE Trans Med Imaging. 29(10):1781-1794.
    • (2010) IEEE Trans Med Imaging , vol.29 , Issue.10 , pp. 1781-1794
    • Gao, Y.1    Sandhu, R.2    Fichtinger, G.3    Tannenbaum, A.R.4
  • 69
    • 0344464966 scopus 로고    scopus 로고
    • Elastic 3-D alignment of rat brain histological images
    • GefenS, TretiakO, NissanovJ. 2003. Elastic 3-D alignment of rat brain histological images. IEEE Trans Med Imaging. 22(11):1480-1489.
    • (2003) IEEE Trans Med Imaging , vol.22 , Issue.11 , pp. 1480-1489
    • Gefen, S.1    Tretiak, O.2    Nissanov, J.3
  • 74
    • 55349127101 scopus 로고    scopus 로고
    • Segmentation and simulation of objects represented in images using physical principles
    • GonçalvesPCT, TavaresJMRS, JorgeRMN. 2008. Segmentation and simulation of objects represented in images using physical principles. Comput Model Eng Sci. 32(1):45-55.
    • (2008) Comput Model Eng Sci , vol.32 , Issue.1 , pp. 45-55
    • Gonçalves, P.C.T.1    Tavares, J.M.R.S.2    Jorge, R.M.N.3
  • 76
    • 79551591281 scopus 로고    scopus 로고
    • Deformable registration of glioma images using EM algorithm and diffusion reaction modeling
    • GooyaA, BirosG, DavatzikosC. 2011. Deformable registration of glioma images using EM algorithm and diffusion reaction modeling. IEEE Trans Med Imaging. 30(2):375-390.
    • (2011) IEEE Trans Med Imaging , vol.30 , Issue.2 , pp. 375-390
    • Gooya, A.1    Biros, G.2    Davatzikos, C.3
  • 78
    • 34548538234 scopus 로고    scopus 로고
    • Registration of multiview real-time 3-D echocardiographic sequences
    • GrauV, BecherH, NobleJA. 2007. Registration of multiview real-time 3-D echocardiographic sequences. IEEE Trans Med Imaging. 26(9):1154-1165.
    • (2007) IEEE Trans Med Imaging , vol.26 , Issue.9 , pp. 1154-1165
    • Grau, V.1    Becher, H.2    Noble, J.A.3
  • 79
  • 80
    • 66249114362 scopus 로고    scopus 로고
    • Deformable 2D-3D registration of vascular structures in a one view scenario
    • GroherM, ZikicD, NavabN. 2009. Deformable 2D-3D registration of vascular structures in a one view scenario. IEEE Trans Med Imaging. 28(6):847-860.
    • (2009) IEEE Trans Med Imaging , vol.28 , Issue.6 , pp. 847-860
    • Groher, M.1    Zikic, D.2    Navab, N.3
  • 81
    • 63849199574 scopus 로고    scopus 로고
    • Automated hexahedral meshing of anatomic structures using deformable registration
    • GroslandNM, BafnaR, MagnottaVA. 2009. Automated hexahedral meshing of anatomic structures using deformable registration. Comput Method Biomech Biomed Eng.12(1):35-43.
    • (2009) Comput Method Biomech Biomed Eng. , vol.12 , Issue.1 , pp. 35-43
    • Grosland, N.M.1    Bafna, R.2    Magnotta, V.A.3
  • 83
    • 0034744998 scopus 로고    scopus 로고
    • Three-dimensional multimodal brain warping using the demons algorithm and adaptive intensity corrections
    • GuimondA, RocheA, AyacheN, MeunierJ. 2001. Three-dimensional multimodal brain warping using the demons algorithm and adaptive intensity corrections. IEEE Trans Med Imaging. 20(1):58-69.
    • (2001) IEEE Trans Med Imaging , vol.20 , Issue.1 , pp. 58-69
    • Guimond, A.1    Roche, A.2    Ayache, N.3    Meunier, J.4
  • 88
    • 67349113423 scopus 로고    scopus 로고
    • A moving grid framework for geometric deformable models
    • HanX, XuC, PrinceJL. 2009. A moving grid framework for geometric deformable models. Int J Comput Vis.84:63-79.
    • (2009) Int J Comput Vis. , vol.84 , pp. 63-79
    • Han, X.1    Xu, C.2    Prince, J.L.3
  • 89
    • 85015657024 scopus 로고    scopus 로고
    • Registration methodology: introduction
    • In: Hajnal JV, Hill D, Hawkes DJ, editors New York,: CRC Press
    • HawkesDJ. 2001. Registration methodology: introduction. In: HajnalJV, HillD, HawkesDJ, editors. Medical image registration. New York: CRC Press.
    • (2001) Medical image registration
    • Hawkes, D.J.1
  • 90
    • 0037721741 scopus 로고    scopus 로고
    • A generalized divergence measure for robust image registration
    • HeY, HamzaAB, KrimH. 2003. A generalized divergence measure for robust image registration. IEEE Trans Signal Process. 51(5):1211-1220.
    • (2003) IEEE Trans Signal Process , vol.51 , Issue.5 , pp. 1211-1220
    • He, Y.1    Hamza, A.B.2    Krim, H.3
  • 92
    • 2942737140 scopus 로고    scopus 로고
    • A hierarchical parametric algorithm for deformable multimodal image registration
    • HellierP, BarillotC. 2004. A hierarchical parametric algorithm for deformable multimodal image registration. Comput Method Prog Biomed.75(2):107-115.
    • (2004) Comput Method Prog Biomed. , vol.75 , Issue.2 , pp. 107-115
    • Hellier, P.1    Barillot, C.2
  • 94
    • 0035324509 scopus 로고    scopus 로고
    • Hierarchical estimation of a dense deformation field for 3-D robust registration
    • HellierP, BarillotC, MéminE, PérezP. 2001. Hierarchical estimation of a dense deformation field for 3-D robust registration. IEEE Trans Med. Imaging. 20(5):388-402.
    • (2001) IEEE Trans Med. Imaging , vol.20 , Issue.5 , pp. 388-402
    • Hellier, P.1    Barillot, C.2    Mémin, E.3    Pérez, P.4
  • 96
    • 85027896068 scopus 로고    scopus 로고
    • Registration methodology: concepts and algorithms
    • In: Hajnal JV, Hill D, Hawkes DJ, editors New York,: CRC Press
    • HillDLG, BatchelorP. 2001. Registration methodology: concepts and algorithms. In: HajnalJV, HillD, HawkesDJ, editors. Medical image registration. New York: CRC Press.
    • (2001) Medical image registration
    • Hill, D.L.G.1    Batchelor, P.2
  • 99
    • 0038735797 scopus 로고    scopus 로고
    • A subspace identification extension to the phase correlation method
    • HogeWS. 2003. A subspace identification extension to the phase correlation method. IEEE Trans Med Imaging. 22(2):277-280.
    • (2003) IEEE Trans Med Imaging , vol.22 , Issue.2 , pp. 277-280
    • Hoge, W.S.1
  • 100
    • 37549005928 scopus 로고    scopus 로고
    • A review of geometric transformations for nonrigid body registration
    • HoldenM. 2008. A review of geometric transformations for nonrigid body registration. IEEE Trans Med Imaging. 27(1):111-128.
    • (2008) IEEE Trans Med Imaging , vol.27 , Issue.1 , pp. 111-128
    • Holden, M.1
  • 101
    • 70350752315 scopus 로고    scopus 로고
    • Rapid dynamic image registration of the beating heart for diagnosis and surgical navigation
    • HuangX, RenJ, GuiraudonG, BoughnerD, PetersTM. 2009. Rapid dynamic image registration of the beating heart for diagnosis and surgical navigation. IEEE Trans Med Imaging. 28(11):1802-1814.
    • (2009) IEEE Trans Med Imaging , vol.28 , Issue.11 , pp. 1802-1814
    • Huang, X.1    Ren, J.2    Guiraudon, G.3    Boughner, D.4    Peters, T.M.5
  • 102
    • 70350755617 scopus 로고    scopus 로고
    • A stochastic approach to estimate the uncertainty involved in B-spline image registration
    • HubM, KesslerML, KargerCP. 2009. A stochastic approach to estimate the uncertainty involved in B-spline image registration. IEEE Trans Med Imaging. 28(11):1708-1716.
    • (2009) IEEE Trans Med Imaging , vol.28 , Issue.11 , pp. 1708-1716
    • Hub, M.1    Kessler, M.L.2    Karger, C.P.3
  • 103
    • 57149088619 scopus 로고    scopus 로고
    • Registration of a CT-like atlas to fluoroscopic X-ray images using intensity correspondences
    • HurvitzA, JoskowiczL. 2008. Registration of a CT-like atlas to fluoroscopic X-ray images using intensity correspondences. Int J Comput Assist Radiol Surg.3:493-504.
    • (2008) Int J Comput Assist Radiol Surg. , vol.3 , pp. 493-504
    • Hurvitz, A.1    Joskowicz, L.2
  • 105
    • 67649512401 scopus 로고    scopus 로고
    • Multi-atlas-based segmentation with local decision fusion - application to cardiac and aortic segmentation in CT scans
    • IsgumI, StaringM, RuttenA, ProkopM, ViergeverMA, GinnekenBv. 2009. Multi-atlas-based segmentation with local decision fusion - application to cardiac and aortic segmentation in CT scans. IEEE Trans Med Imaging. 28(7):1000-1010.
    • (2009) IEEE Trans Med Imaging , vol.28 , Issue.7 , pp. 1000-1010
    • Isgum, I.1    Staring, M.2    Rutten, A.3    Prokop, M.4    Viergever, M.A.5    Ginneken, B.6
  • 107
    • 0035384136 scopus 로고    scopus 로고
    • A global optimisation method for robust affine registration of brain images
    • JenkinsonM, SmithS. 2001. A global optimisation method for robust affine registration of brain images. Med Image Anal. 5(2):143-156.
    • (2001) Med Image Anal , vol.5 , Issue.2 , pp. 143-156
    • Jenkinson, M.1    Smith, S.2
  • 108
    • 7044260966 scopus 로고    scopus 로고
    • Unbiased diffeomorphic atlas construction for computational anatomy
    • JoshiS, DavisB, JomierM, GerigG. 2004. Unbiased diffeomorphic atlas construction for computational anatomy. NeuroImage. 23:S151-S160.
    • (2004) NeuroImage , vol.23
    • Joshi, S.1    Davis, B.2    Jomier, M.3    Gerig, G.4
  • 109
    • 0034249514 scopus 로고    scopus 로고
    • Landmark matching via large deformation diffeomorphisms
    • JoshiSC, MillerMI. 2000. Landmark matching via large deformation diffeomorphisms. IEEE Trans Image Process.9(8):1357-1370.
    • (2000) IEEE Trans Image Process. , vol.9 , Issue.8 , pp. 1357-1370
    • Joshi, S.C.1    Miller, M.I.2
  • 111
    • 33846211066 scopus 로고    scopus 로고
    • Information theoretic deformable registration using local image information
    • KaraçaliB. 2007. Information theoretic deformable registration using local image information. Int J Comput Vis.72(3):219-237.
    • (2007) Int J Comput Vis. , vol.72 , Issue.3 , pp. 219-237
    • Karaçali, B.1
  • 113
    • 0030280647 scopus 로고    scopus 로고
    • Fourier registration of three-dimensional brain MR images: exploiting the axis of rotation
    • KassamA, WoodML. 1996. Fourier registration of three-dimensional brain MR images: exploiting the axis of rotation. J Magn Reson Imaging. 6(6):894-902.
    • (1996) J Magn Reson Imaging , vol.6 , Issue.6 , pp. 894-902
    • Kassam, A.1    Wood, M.L.2
  • 115
    • 0041807935 scopus 로고    scopus 로고
    • Non-linear registration for brain images by maximising feature and intensity similarities with a Bayesian framework
    • KimJS, LeeJM, KimJJ, ChoeBY, OhC-H, NamSH, KwonJS, KimSI. 2003. Non-linear registration for brain images by maximising feature and intensity similarities with a Bayesian framework. Med Biol Eng Comput.41:473-480.
    • (2003) Med Biol Eng Comput. , vol.41 , pp. 473-480
    • Kim, J.S.1    Lee, J.M.2    Kim, J.J.3    Choe, B.Y.4    Oh, C.-H.5    Nam, S.H.6    Kwon, J.S.7    Kim, S.I.8
  • 116
    • 77749264196 scopus 로고    scopus 로고
    • Registering preprocedure volumetric images with intraprocedure 3-D ultrasound using an ultrasound imaging model
    • KingAP, RhodeKS, MaY, YaoC, JansenC, RazaviR, PenneyGP. 2010. Registering preprocedure volumetric images with intraprocedure 3-D ultrasound using an ultrasound imaging model. IEEE Trans Med Imaging. 29(3):924-937.
    • (2010) IEEE Trans Med Imaging , vol.29 , Issue.3 , pp. 924-937
    • King, A.P.1    Rhode, K.S.2    Ma, Y.3    Yao, C.4    Jansen, C.5    Razavi, R.6    Penney, G.P.7
  • 120
    • 36348985858 scopus 로고    scopus 로고
    • Evaluation of optimization methods for nonrigid medical image registration using mutual information and B-splines
    • KleinS, StaringM, PluimJPW. 2007. Evaluation of optimization methods for nonrigid medical image registration using mutual information and B-splines. IEEE Trans Image Process.16(12):2879-2890.
    • (2007) IEEE Trans Image Process. , vol.16 , Issue.12 , pp. 2879-2890
    • Klein, S.1    Staring, M.2    Pluim, J.P.W.3
  • 122
    • 0242468065 scopus 로고    scopus 로고
    • Fast parametric elastic image registration
    • KybicJ, UnserM. 2003. Fast parametric elastic image registration. IEEE Trans Image Process. 12(11):1427-1442.
    • (2003) IEEE Trans Image Process. , vol.12 , Issue.11 , pp. 1427-1442
    • Kybic, J.1    Unser, M.2
  • 123
    • 0038444343 scopus 로고    scopus 로고
    • Registration and fusion of retinal images - an evaluation study
    • LalibertéF, GagnonL, ShengY. 2003. Registration and fusion of retinal images - an evaluation study. IEEE Trans Med Imaging. 22(5):661-673.
    • (2003) IEEE Trans Med Imaging , vol.22 , Issue.5 , pp. 661-673
    • Laliberté, F.1    Gagnon, L.2    Sheng, Y.3
  • 128
    • 0032785812 scopus 로고    scopus 로고
    • A survey of hierarchical non-linear medical image registration
    • LesterH, ArridgeSR. 1999. A survey of hierarchical non-linear medical image registration. Patt Recogn.32:129-149.
    • (1999) Patt Recogn. , vol.32 , pp. 129-149
    • Lester, H.1    Arridge, S.R.2
  • 130
    • 73849119276 scopus 로고    scopus 로고
    • Feature based nonrigid brain MR image registration with symmetric alpha stable filters
    • LiaoS, ChungACS. 2010. Feature based nonrigid brain MR image registration with symmetric alpha stable filters. IEEE Trans Med Imaging. 29(1):106-119.
    • (2010) IEEE Trans Med Imaging , vol.29 , Issue.1 , pp. 106-119
    • Liao, S.1    Chung, A.C.S.2
  • 131
    • 79959882643 scopus 로고    scopus 로고
    • A hybrid strategy to integrate surface-based and mutual-information-based methods for co-registering brain SPECT and MR images
    • LiaoY-L, SunY-N, GuoW-Y, ChouY-H, HsiehJ-C, WuY-T. 2011. A hybrid strategy to integrate surface-based and mutual-information-based methods for co-registering brain SPECT and MR images. Med Biol Eng Comput.49:671-685.
    • (2011) Med Biol Eng Comput. , vol.49 , pp. 671-685
    • Liao, Y.-L.1    Sun, Y.-N.2    Guo, W.-Y.3    Chou, Y.-H.4    Hsieh, J.-C.5    Wu, Y.-T.6
  • 133
    • 0344033883 scopus 로고    scopus 로고
    • Gradient-based 2-D/3-D rigid registration of fluoroscopic X-ray to CT
    • LivyatanH, YanivZ, JoskowiczL. 2003. Gradient-based 2-D/3-D rigid registration of fluoroscopic X-ray to CT. IEEE Trans Med Imaging. 22(11):1395-1406.
    • (2003) IEEE Trans Med Imaging , vol.22 , Issue.11 , pp. 1395-1406
    • Livyatan, H.1    Yaniv, Z.2    Joskowicz, L.3
  • 134
    • 0344464970 scopus 로고    scopus 로고
    • Temporal subtraction of thorax CR images using a statistical deformation model
    • LoeckxD, MaesF, VandermeulenD, SuetensP. 2003. Temporal subtraction of thorax CR images using a statistical deformation model. IEEE Trans Med Imaging. 22(11):1490-1504.
    • (2003) IEEE Trans Med Imaging , vol.22 , Issue.11 , pp. 1490-1504
    • Loeckx, D.1    Maes, F.2    Vandermeulen, D.3    Suetens, P.4
  • 137
  • 138
    • 77749273646 scopus 로고    scopus 로고
    • Estimation of optimal fiducial target registration error in the presence of heteroscedastic noise
    • MaB, MoghariMH, EllisRE, AbolmaesumiP. 2010. Estimation of optimal fiducial target registration error in the presence of heteroscedastic noise. IEEE Trans Med Imaging. 29(3):708-723.
    • (2010) IEEE Trans Med Imaging , vol.29 , Issue.3 , pp. 708-723
    • Ma, B.1    Moghari, M.H.2    Ellis, R.E.3    Abolmaesumi, P.4
  • 139
    • 77954713643 scopus 로고    scopus 로고
    • A review of algorithms for medical image segmentation and their applications to the female pelvic cavity
    • MaZ, TavaresJMRS, JorgeRMN, MascaranhasT. 2010. A review of algorithms for medical image segmentation and their applications to the female pelvic cavity. Comput Method Biomech Biomed Eng.13(2):235-246.
    • (2010) Comput Method Biomech Biomed Eng. , vol.13 , Issue.2 , pp. 235-246
    • Ma, Z.1    Tavares, J.M.R.S.2    Jorge, R.M.N.3    Mascaranhas, T.4
  • 141
    • 2442477114 scopus 로고    scopus 로고
    • Medical image registration using mutual information
    • MaesF, VandermeulenD, SuetensP. 2003. Medical image registration using mutual information. Proc IEEE. 91(10):1699-1722.
    • (2003) Proc IEEE , vol.91 , Issue.10 , pp. 1699-1722
    • Maes, F.1    Vandermeulen, D.2    Suetens, P.3
  • 142
    • 0344012667 scopus 로고    scopus 로고
    • A robust method for registration of three-dimensional knee implant models to two-dimensional fluoroscopy images
    • MahfouzMR, HoffWA, KomistekRD, DennisDA. 2003. A robust method for registration of three-dimensional knee implant models to two-dimensional fluoroscopy images. IEEE Trans Med Imaging. 22(12):1561-1574.
    • (2003) IEEE Trans Med Imaging , vol.22 , Issue.12 , pp. 1561-1574
    • Mahfouz, M.R.1    Hoff, W.A.2    Komistek, R.D.3    Dennis, D.A.4
  • 143
    • 0032008619 scopus 로고    scopus 로고
    • A survey of medical image registration
    • MaintzJBA, ViergeverMA. 1998. A survey of medical image registration. Med Image Anal. 2(1):1-36.
    • (1998) Med Image Anal , vol.2 , Issue.1 , pp. 1-36
    • Maintz, J.B.A.1    Viergever, M.A.2
  • 147
    • 4043088381 scopus 로고    scopus 로고
    • Constructing diffeomorphic representations for the groupwise analysis of nonrigid registrations of medical images
    • MarslandS, TwiningCJ. 2004. Constructing diffeomorphic representations for the groupwise analysis of nonrigid registrations of medical images. IEEE Trans Med Imaging. 23(8):1006-1020.
    • (2004) IEEE Trans Med Imaging , vol.23 , Issue.8 , pp. 1006-1020
    • Marsland, S.1    Twining, C.J.2
  • 148
  • 152
  • 153
    • 0030153642 scopus 로고    scopus 로고
    • Deformable models in medical image analysis: a survey
    • McInerneyT, TerzopoulosD. 1996. Deformable models in medical image analysis: a survey. Med Image Anal.1(2):91-108.
    • (1996) Med Image Anal. , vol.1 , Issue.2 , pp. 91-108
    • McInerney, T.1    Terzopoulos, D.2
  • 154
    • 23844503941 scopus 로고    scopus 로고
    • A comparison of a similarity-based and a feature-based 2-D-3-D registration method for neurointerventional use
    • McLaughlinRA, HipwellJ, HawkesDJ, NobleJA, ByrneJV, CoxTC. 2005. A comparison of a similarity-based and a feature-based 2-D-3-D registration method for neurointerventional use. IEEE Trans Med Imaging. 24(8):1058-1066.
    • (2005) IEEE Trans Med Imaging , vol.24 , Issue.8 , pp. 1058-1066
    • McLaughlin, R.A.1    Hipwell, J.2    Hawkes, D.J.3    Noble, J.A.4    Byrne, J.V.5    Cox, T.C.6
  • 156
    • 0031107387 scopus 로고    scopus 로고
    • Demonstration of accuracy and clinical versatility of mutual information for automatic multimodality image fusion using affine and thin-plate spline warped geometric deformations
    • MeyerCR, BoesJL, KimB, BlandPH, ZasadnyKR, KisonPV, KoralK, FreyKA, WahlRL. 1997. Demonstration of accuracy and clinical versatility of mutual information for automatic multimodality image fusion using affine and thin-plate spline warped geometric deformations. Med Image Anal.1(3):195-206.
    • (1997) Med Image Anal. , vol.1 , Issue.3 , pp. 195-206
    • Meyer, C.R.1    Boes, J.L.2    Kim, B.3    Bland, P.H.4    Zasadny, K.R.5    Kison, P.V.6    Koral, K.7    Frey, K.A.8    Wahl, R.L.9
  • 159
    • 0036403673 scopus 로고    scopus 로고
    • On the metrics and Euler-Lagrange equations of computational anatomy
    • MillerMI, TrouvéA, YounesL. 2002. On the metrics and Euler-Lagrange equations of computational anatomy. Annu Rev Biomed Eng. 4:375-405.
    • (2002) Annu Rev Biomed Eng , vol.4 , pp. 375-405
    • Miller, M.I.1    Trouvé, A.2    Younes, L.3
  • 162
    • 70350786414 scopus 로고    scopus 로고
    • Distribution of fiducial registration error in rigid-body point-based registration
    • MoghariMH, AbolmaesumiP. 2009a. Distribution of fiducial registration error in rigid-body point-based registration. IEEE Trans Med Imaging. 28(11):1791-1801.
    • (2009) IEEE Trans Med Imaging , vol.28 , Issue.11 , pp. 1791-1801
    • Moghari, M.H.1    Abolmaesumi, P.2
  • 163
    • 66249138896 scopus 로고    scopus 로고
    • Distribution of target registration error for anisotropic and inhomogeneous fiducial localization error
    • MoghariMH, AbolmaesumiP. 2009b. Distribution of target registration error for anisotropic and inhomogeneous fiducial localization error. IEEE Trans Med Imaging. 28(6):799-813.
    • (2009) IEEE Trans Med Imaging , vol.28 , Issue.6 , pp. 799-813
    • Moghari, M.H.1    Abolmaesumi, P.2
  • 165
    • 78149248595 scopus 로고    scopus 로고
    • Intensity-based image registration by minimizing residual complexity
    • MyronenkoA, SongX. 2010. Intensity-based image registration by minimizing residual complexity. IEEE Trans Med Imaging. 29(11):1882-1891.
    • (2010) IEEE Trans Med Imaging , vol.29 , Issue.11 , pp. 1882-1891
    • Myronenko, A.1    Song, X.2
  • 167
    • 0032856763 scopus 로고    scopus 로고
    • Robust voxel similarity metrics for the registration of dissimilar single and multimodal images
    • NikouC, HeitzF, ArmspachJ-P. 1999. Robust voxel similarity metrics for the registration of dissimilar single and multimodal images. Patt Recogn. 32:1351-1368.
    • (1999) Patt Recogn , vol.32 , pp. 1351-1368
    • Nikou, C.1    Heitz, F.2    Armspach, J.-P.3
  • 168
    • 12844270528 scopus 로고    scopus 로고
    • 3-D deformable image registration: a topology preservation scheme based on hierarchical deformation models and interval analysis optimization
    • NobletV, HeinrichC, HeitzF, ArmspachJ-P. 2005. 3-D deformable image registration: a topology preservation scheme based on hierarchical deformation models and interval analysis optimization. IEEE Trans Image Process. 14(5):553-566.
    • (2005) IEEE Trans Image Process , vol.14 , Issue.5 , pp. 553-566
    • Noblet, V.1    Heinrich, C.2    Heitz, F.3    Armspach, J.-P.4
  • 172
    • 55349107778 scopus 로고    scopus 로고
    • Algorithm of dynamic programming for optimizations of the global matching between two contours defined by ordered points
    • OliveiraFPM, TavaresJMRS. 2008. Algorithm of dynamic programming for optimizations of the global matching between two contours defined by ordered points. Comput Model Eng Sci. 31(1):1-11.
    • (2008) Comput Model Eng Sci , vol.31 , Issue.1 , pp. 1-11
    • Oliveira, F.P.M.1    Tavares, J.M.R.S.2
  • 173
    • 70350382226 scopus 로고    scopus 로고
    • Matching contours in images through the use of curvature, distance to centroid and global optimization with order-preserving constraint
    • OliveiraFPM, TavaresJMRS. 2009. Matching contours in images through the use of curvature, distance to centroid and global optimization with order-preserving constraint. Comput Model Eng Sci. 43(1):91-110.
    • (2009) Comput Model Eng Sci , vol.43 , Issue.1 , pp. 91-110
    • Oliveira, F.P.M.1    Tavares, J.M.R.S.2
  • 174
    • 79952596385 scopus 로고    scopus 로고
    • Novel framework for registration of pedobarographic image data
    • OliveiraFPM, TavaresJMRS. 2011. Novel framework for registration of pedobarographic image data. Med Biol Eng Comput. 49(3):313-323.
    • (2011) Med Biol Eng Comput , vol.49 , Issue.3 , pp. 313-323
    • Oliveira, F.P.M.1    Tavares, J.M.R.S.2
  • 175
    • 70350391643 scopus 로고    scopus 로고
    • Rapid pedobarographic image registration based on contour curvature and optimization
    • OliveiraFPM, TavaresJMRS, PatakyTC. 2009a. Rapid pedobarographic image registration based on contour curvature and optimization. J Biomech. 42(15):2620-2623.
    • (2009) J Biomech , vol.42 , Issue.15 , pp. 2620-2623
    • Oliveira, F.P.M.1    Tavares, J.M.R.S.2    Pataky, T.C.3
  • 177
    • 34648820368 scopus 로고    scopus 로고
    • Efficient least squares multimodal registration with a globally exhaustive alignment search
    • OrchardJ. 2007a. Efficient least squares multimodal registration with a globally exhaustive alignment search. IEEE Trans Image Process. 16(10):2526-2534.
    • (2007) IEEE Trans Image Process , vol.16 , Issue.10 , pp. 2526-2534
    • Orchard, J.1
  • 179
    • 46749134424 scopus 로고    scopus 로고
    • Multimodal image registration using floating regressors in the joint intensity scatter plot
    • OrchardJ. 2008. Multimodal image registration using floating regressors in the joint intensity scatter plot. Med Image Anal. 12:385-396.
    • (2008) Med Image Anal , vol.12 , pp. 385-396
    • Orchard, J.1
  • 180
    • 0031401116 scopus 로고    scopus 로고
    • Correspondence of closest gradient voxels - a robust registration algorithm
    • OstuniJL, LevinRL, FrankJA, DeCarliC. 1997. Correspondence of closest gradient voxels - a robust registration algorithm. J Magn Reson Imaging. 7(2):410-415.
    • (1997) J Magn Reson Imaging , vol.7 , Issue.2 , pp. 410-415
    • Ostuni, J.L.1    Levin, R.L.2    Frank, J.A.3    DeCarli, C.4
  • 181
    • 0018306059 scopus 로고
    • A threshold selection method from gray-level histogram
    • OtsuN. 1979. A threshold selection method from gray-level histogram. IEEE Trans Syst Man Cybern. 9:62-66.
    • (1979) IEEE Trans Syst Man Cybern , vol.9 , pp. 62-66
    • Otsu, N.1
  • 183
    • 53149097700 scopus 로고    scopus 로고
    • A comparison of seven methods of within-subjects rigid-body pedobarographic image registration
    • PatakyTC, GoulermasJY, CromptonRH. 2008. A comparison of seven methods of within-subjects rigid-body pedobarographic image registration. J Biomech. 41(14):3085-3089.
    • (2008) J Biomech , vol.41 , Issue.14 , pp. 3085-3089
    • Pataky, T.C.1    Goulermas, J.Y.2    Crompton, R.H.3
  • 186
    • 0042527109 scopus 로고    scopus 로고
    • Elastic registration in the presence of intensity variations
    • PeriaswamyS, FaridH. 2003. Elastic registration in the presence of intensity variations. IEEE Trans Med Imaging. 22(7):865-874.
    • (2003) IEEE Trans Med Imaging , vol.22 , Issue.7 , pp. 865-874
    • Periaswamy, S.1    Farid, H.2
  • 187
    • 23844555107 scopus 로고    scopus 로고
    • Spatio-temporal free-form registration of cardiac MR image sequences
    • PerperidisD, MohiaddinR, RueckertD. 2005. Spatio-temporal free-form registration of cardiac MR image sequences. Med Image Anal. 9(5):441-456.
    • (2005) Med Image Anal , vol.9 , Issue.5 , pp. 441-456
    • Perperidis, D.1    Mohiaddin, R.2    Rueckert, D.3
  • 188
    • 77954233638 scopus 로고    scopus 로고
    • Registration of 4D cardiac CT sequences under trajectory constraints with multichannel diffeomorphic demons
    • PeyratJ-M, DelingetteH, SermesantM, XuC, AyacheN. 2010. Registration of 4D cardiac CT sequences under trajectory constraints with multichannel diffeomorphic demons. IEEE Trans Med Imaging. 29(7):1351-1368.
    • (2010) IEEE Trans Med Imaging , vol.29 , Issue.7 , pp. 1351-1368
    • Peyrat, J.-M.1    Delingette, H.2    Sermesant, M.3    Xu, C.4    Ayache, N.5
  • 192
    • 0034238080 scopus 로고    scopus 로고
    • Image registration by maximization of combined mutual information and gradient information
    • PluimJPW, MaintzJBA, ViergeverMA. 2000. Image registration by maximization of combined mutual information and gradient information. IEEE Trans Med Imaging. 19(8):809-814.
    • (2000) IEEE Trans Med Imaging , vol.19 , Issue.8 , pp. 809-814
    • Pluim, J.P.W.1    Maintz, J.B.A.2    Viergever, M.A.3
  • 193
    • 0043028206 scopus 로고    scopus 로고
    • Mutual information based registration of medical images: a survey
    • PluimJPW, MaintzJBA, ViergeverMA. 2003. Mutual information based registration of medical images: a survey. IEEE Trans Med Imaging. 22(8):986-1004.
    • (2003) IEEE Trans Med Imaging , vol.22 , Issue.8 , pp. 986-1004
    • Pluim, J.P.W.1    Maintz, J.B.A.2    Viergever, M.A.3
  • 202
    • 0035487023 scopus 로고    scopus 로고
    • Rigid registration of 3-D ultrasound with MR images: a new approach combining intensity and gradient information
    • RocheA, PennecX, MalandainG, AyacheN. 2001. Rigid registration of 3-D ultrasound with MR images: a new approach combining intensity and gradient information. IEEE Trans Med Imaging. 20(10):1038-1049.
    • (2001) IEEE Trans Med Imaging , vol.20 , Issue.10 , pp. 1038-1049
    • Roche, A.1    Pennec, X.2    Malandain, G.3    Ayache, N.4
  • 203
    • 33645867055 scopus 로고    scopus 로고
    • Symmetric image registration
    • RogeljP, KovacicS. 2006. Symmetric image registration. Med Image Anal. 10:484-493.
    • (2006) Med Image Anal , vol.10 , pp. 484-493
    • Rogelj, P.1    Kovacic, S.2
  • 205
    • 0042405180 scopus 로고    scopus 로고
    • Volume-preserving nonrigid registration of MR breast images using free-form deformation with an incompressibility constraint
    • RohlfingT, MaurerCR, BluemkeDA, JacobsMA. 2003. Volume-preserving nonrigid registration of MR breast images using free-form deformation with an incompressibility constraint. IEEE Trans Med Imaging. 22(6):730-741.
    • (2003) IEEE Trans Med Imaging , vol.22 , Issue.6 , pp. 730-741
    • Rohlfing, T.1    Maurer, C.R.2    Bluemke, D.A.3    Jacobs, M.A.4
  • 210
    • 33847066338 scopus 로고    scopus 로고
    • A review of recent range image registration methods with accuracy evaluation
    • SalviJ, MataboschC, FofiD, ForestJ. 2007. A review of recent range image registration methods with accuracy evaluation. Image Vis Comput. 25(5):578-596.
    • (2007) Image Vis Comput , vol.25 , Issue.5 , pp. 578-596
    • Salvi, J.1    Matabosch, C.2    Fofi, D.3    Forest, J.4
  • 214
    • 27744442364 scopus 로고    scopus 로고
    • Automated 3-dimensional elastic registration of whole-body PET and CT from separate or combined scanners
    • ShekharR, WalimbeV, RajaS, ZagrodskyV, KanvindeM, WuG, BybelB. 2005. Automated 3-dimensional elastic registration of whole-body PET and CT from separate or combined scanners. J Nucl Med. 46(9):1488-1496.
    • (2005) J Nucl Med , vol.46 , Issue.9 , pp. 1488-1496
    • Shekhar, R.1    Walimbe, V.2    Raja, S.3    Zagrodsky, V.4    Kanvinde, M.5    Wu, G.6    Bybel, B.7
  • 215
    • 0036007860 scopus 로고    scopus 로고
    • Mutual information-based rigid and nonrigid registration of ultrasound volumes
    • ShekharR, ZagrodskyV. 2002. Mutual information-based rigid and nonrigid registration of ultrasound volumes. IEEE Trans Med Imaging. 21(1):9-22.
    • (2002) IEEE Trans Med Imaging , vol.21 , Issue.1 , pp. 9-22
    • Shekhar, R.1    Zagrodsky, V.2
  • 216
    • 4444302960 scopus 로고    scopus 로고
    • Registration of real-time 3-D ultrasound images of the heart for novel 3-D stress echocardiography
    • ShekharR, ZagrodskyV, GarciaMJ, ThomasJD. 2004. Registration of real-time 3-D ultrasound images of the heart for novel 3-D stress echocardiography. IEEE Trans Med Imaging. 23(9):1141-1149.
    • (2004) IEEE Trans Med Imaging , vol.23 , Issue.9 , pp. 1141-1149
    • Shekhar, R.1    Zagrodsky, V.2    Garcia, M.J.3    Thomas, J.D.4
  • 218
    • 33845418366 scopus 로고    scopus 로고
    • Image registration by local histogram matching
    • ShenD. 2007. Image registration by local histogram matching. Patt Recogn. 40:1161-1172.
    • (2007) Patt Recogn , vol.40 , pp. 1161-1172
    • Shen, D.1
  • 219
    • 0036880516 scopus 로고    scopus 로고
    • HAMMER: hierarchical attribute matching mechanism for elastic registration
    • ShenD, DavatzikosC. 2002. HAMMER: hierarchical attribute matching mechanism for elastic registration. IEEE Trans Med Imaging. 21(11):1421-1439.
    • (2002) IEEE Trans Med Imaging , vol.21 , Issue.11 , pp. 1421-1439
    • Shen, D.1    Davatzikos, C.2
  • 220
    • 60549104575 scopus 로고    scopus 로고
    • Multimodality image registration with software: state-of-the-art
    • SlomkaPJ, BaumRP. 2009. Multimodality image registration with software: state-of-the-art. Eur J Nucl Med Mol Imaging. 36(Suppl 1):44-55.
    • (2009) Eur J Nucl Med Mol Imaging , vol.36 , Issue.SUPPL. 1 , pp. 44-55
    • Slomka, P.J.1    Baum, R.P.2
  • 222
    • 0345327826 scopus 로고    scopus 로고
    • The dual-bootstrap iterative closest point algorithm with application to retinal image registration
    • StewartCV, TsaiC-L, RoysamB. 2003. The dual-bootstrap iterative closest point algorithm with application to retinal image registration. IEEE Trans Med Imaging. 22(11):1379-1394.
    • (2003) IEEE Trans Med Imaging , vol.22 , Issue.11 , pp. 1379-1394
    • Stewart, C.V.1    Tsai, C.-L.2    Roysam, B.3
  • 223
    • 0034310510 scopus 로고    scopus 로고
    • Accurate alignment of functional EPI data to anatomical MRI using a physics-based distortion model
    • StudholmeC, ConstableRT, DuncanJS. 2000. Accurate alignment of functional EPI data to anatomical MRI using a physics-based distortion model. IEEE Trans Med Imaging. 19(11):1115-1127.
    • (2000) IEEE Trans Med Imaging , vol.19 , Issue.11 , pp. 1115-1127
    • Studholme, C.1    Constable, R.T.2    Duncan, J.S.3
  • 224
    • 33646397022 scopus 로고    scopus 로고
    • Deformation-based mapping of volume change from serial brain MRI in the presence of local tissue contrast change
    • StudholmeC, DrapacaC, IordanovaB, CardenasV. 2006. Deformation-based mapping of volume change from serial brain MRI in the presence of local tissue contrast change. IEEE Trans Med Imaging. 25(5):626-639.
    • (2006) IEEE Trans Med Imaging , vol.25 , Issue.5 , pp. 626-639
    • Studholme, C.1    Drapaca, C.2    Iordanova, B.3    Cardenas, V.4
  • 225
    • 0031028413 scopus 로고    scopus 로고
    • Automated three-dimensional registration of magnetic resonance and positron emission tomography brain images by multiresolution optimization of voxel similarity measures
    • StudholmeC, HillDLG, HawkesDJ. 1997. Automated three-dimensional registration of magnetic resonance and positron emission tomography brain images by multiresolution optimization of voxel similarity measures. Med Phys. 24(1):25-35.
    • (1997) Med Phys , vol.24 , Issue.1 , pp. 25-35
    • Studholme, C.1    Hill, D.L.G.2    Hawkes, D.J.3
  • 226
    • 0032762144 scopus 로고    scopus 로고
    • An overlap invariant entropy measure of 3D medical image alignment
    • StudholmeC, HillDLG, HawkesDJ. 1999. An overlap invariant entropy measure of 3D medical image alignment. Patt Recogn. 32(1):71-86.
    • (1999) Patt Recogn , vol.32 , Issue.1 , pp. 71-86
    • Studholme, C.1    Hill, D.L.G.2    Hawkes, D.J.3
  • 227
    • 61849133212 scopus 로고    scopus 로고
    • Medical image registration by minimizing divergence measure based on Tsallis entropy
    • SunS, ZhangL, GuoC. 2007. Medical image registration by minimizing divergence measure based on Tsallis entropy. Int J Biol Med Sci. 2(2):75-80.
    • (2007) Int J Biol Med Sci , vol.2 , Issue.2 , pp. 75-80
    • Sun, S.1    Zhang, L.2    Guo, C.3
  • 229
    • 0032786004 scopus 로고    scopus 로고
    • A coarse to fine 3D registration method based on robust fuzzy clustering
    • TarelJ-P, BoujemaaN. 1999. A coarse to fine 3D registration method based on robust fuzzy clustering. Comput Vis Image Und. 73(1):14-28.
    • (1999) Comput Vis Image Und , vol.73 , Issue.1 , pp. 14-28
    • Tarel, J.-P.1    Boujemaa, N.2
  • 231
    • 0031647592 scopus 로고    scopus 로고
    • A pyramid approach to subpixel registration based on intensity
    • ThévenazP, RuttimannUE, UnserM. 1998. A pyramid approach to subpixel registration based on intensity. IEEE Trans Image Process. 7(1):27-41.
    • (1998) IEEE Trans Image Process , vol.7 , Issue.1 , pp. 27-41
    • Thévenaz, P.1    Ruttimann, U.E.2    Unser, M.3
  • 232
    • 0000070850 scopus 로고    scopus 로고
    • Optimization of mutual information for multiresolution image registration
    • ThévenazP, UnserM. 2000. Optimization of mutual information for multiresolution image registration. IEEE Trans Image Process. 9(12):2083-2099.
    • (2000) IEEE Trans Image Process , vol.9 , Issue.12 , pp. 2083-2099
    • Thévenaz, P.1    Unser, M.2
  • 233
    • 0032153006 scopus 로고    scopus 로고
    • Image matching as a diffusion process: an analogy with Maxwell's demons
    • ThirionJ-P. 1998. Image matching as a diffusion process: an analogy with Maxwell's demons. Med Image Anal. 2(3):243-260.
    • (1998) Med Image Anal , vol.2 , Issue.3 , pp. 243-260
    • Thirion, J.-P.1
  • 235
    • 56849085974 scopus 로고    scopus 로고
    • A geometry-driven optical flow warping for spatial normalization of cortical surfaces
    • TosunD, PrinceJL. 2008. A geometry-driven optical flow warping for spatial normalization of cortical surfaces. IEEE Trans Med Imaging. 27(12):1739-1753.
    • (2008) IEEE Trans Med Imaging , vol.27 , Issue.12 , pp. 1739-1753
    • Tosun, D.1    Prince, J.L.2
  • 236
    • 77749279504 scopus 로고    scopus 로고
    • The edge-driven dual-bootstrap iterative closest point algorithm for registration of multimodal fluorescein angiogram sequence
    • TsaiC-L, LiC-Y, YangG, LinK-S. 2010. The edge-driven dual-bootstrap iterative closest point algorithm for registration of multimodal fluorescein angiogram sequence. IEEE Trans Med Imaging. 29(3):636-649.
    • (2010) IEEE Trans Med Imaging , vol.29 , Issue.3 , pp. 636-649
    • Tsai, C.-L.1    Li, C.-Y.2    Yang, G.3    Lin, K.-S.4
  • 237
    • 33646516485 scopus 로고
    • Possible generalization of Boltzmann-Gibbs statistics
    • TsallisC. 1988. Possible generalization of Boltzmann-Gibbs statistics. J Stat Phys. 52(1-2):479-487.
    • (1988) J Stat Phys , vol.52 , Issue.1-2 , pp. 479-487
    • Tsallis, C.1
  • 238
    • 0042527119 scopus 로고    scopus 로고
    • Interpolation artifacts in multimodality image registration based on maximization of mutual information
    • TsaoJ. 2003. Interpolation artifacts in multimodality image registration based on maximization of mutual information. IEEE Trans Med Imaging. 22(7):854-864.
    • (2003) IEEE Trans Med Imaging , vol.22 , Issue.7 , pp. 854-864
    • Tsao, J.1
  • 240
    • 63849264858 scopus 로고    scopus 로고
    • Diffeomorphic demons: efficient non-parametric image registration
    • VercauterenT, PennecX, PerchantA, AyacheN. 2009. Diffeomorphic demons: efficient non-parametric image registration. NeuroImage. 45(1):S61-S72.
    • (2009) NeuroImage , vol.45 , Issue.1
    • Vercauteren, T.1    Pennec, X.2    Perchant, A.3    Ayache, N.4
  • 244
    • 34249301693 scopus 로고    scopus 로고
    • A geometric deformation constrained level set method for structural shape and topology optimization
    • WangSY, LimKM, KhooBC, WangMY. 2007. A geometric deformation constrained level set method for structural shape and topology optimization. Comput Model Eng Sci. 18(3):155-181.
    • (2007) Comput Model Eng Sci , vol.18 , Issue.3 , pp. 155-181
    • Wang, S.Y.1    Lim, K.M.2    Khoo, B.C.3    Wang, M.Y.4
  • 245
    • 33744972357 scopus 로고    scopus 로고
    • Structural shape and topology optimization using an implicit free boundary parametrization method
    • WangSY, WangMY. 2006. Structural shape and topology optimization using an implicit free boundary parametrization method. Comput Model Eng Sci. 12(2):119-147.
    • (2006) Comput Model Eng Sci , vol.12 , Issue.2 , pp. 119-147
    • Wang, S.Y.1    Wang, M.Y.2
  • 246
    • 4444367047 scopus 로고    scopus 로고
    • Modality independent elastography (MIE): a new approach to elasticity imaging
    • WashingtonCW, MigaMI. 2004. Modality independent elastography (MIE): a new approach to elasticity imaging. IEEE Trans Med Imaging. 23(9):1117-1128.
    • (2004) IEEE Trans Med Imaging , vol.23 , Issue.9 , pp. 1117-1128
    • Washington, C.W.1    Miga, M.I.2
  • 247
    • 34948812870 scopus 로고
    • Adaptive thresholding for the digital desk
    • Rank Xerox Research Centre, Cambridge Laboratory
    • WellnerP. 1993. Adaptive thresholding for the digital desk. Technical Report EPC-1993-110. Rank Xerox Research Centre, Cambridge Laboratory.
    • (1993) Technical Report EPC-1993-110
    • Wellner, P.1
  • 251
    • 40149095934 scopus 로고    scopus 로고
    • A statistical model for point-based target registration error with anisotropic fiducial localizer error
    • WilesAD, LikholyotA, FrantzDD, PetersTM. 2008. A statistical model for point-based target registration error with anisotropic fiducial localizer error. IEEE Trans Med Imaging. 27(3):378-390.
    • (2008) IEEE Trans Med Imaging , vol.27 , Issue.3 , pp. 378-390
    • Wiles, A.D.1    Likholyot, A.2    Frantz, D.D.3    Peters, T.M.4
  • 254
    • 0031910991 scopus 로고    scopus 로고
    • Automated image registration: I. general methods and intrasubject, intramodality validation
    • WoodsRP, GraftonST, HolmesCJ, CherrySR, MazziottaJC. 1998. Automated image registration: I. general methods and intrasubject, intramodality validation. J Comput Assist Tomo. 22(1):139-152.
    • (1998) J Comput Assist Tomo , vol.22 , Issue.1 , pp. 139-152
    • Woods, R.P.1    Grafton, S.T.2    Holmes, C.J.3    Cherry, S.R.4    Mazziotta, J.C.5
  • 256
    • 85047686306 scopus 로고    scopus 로고
    • Femur statistical atlas construction based on two-level 3D non-rigid registration
    • WuC, MurthaPE, JaramazB. 2009. Femur statistical atlas construction based on two-level 3D non-rigid registration. Comput Aid Surg. 14(4):83-89.
    • (2009) Comput Aid Surg , vol.14 , Issue.4 , pp. 83-89
    • Wu, C.1    Murtha, P.E.2    Jaramaz, B.3
  • 258
    • 33748095663 scopus 로고    scopus 로고
    • Learning-based deformable registration of MR brain images
    • WuG, QiF, ShenD. 2006b. Learning-based deformable registration of MR brain images. IEEE Trans Med Imaging. 25(9):1145-1157.
    • (2006) IEEE Trans Med Imaging , vol.25 , Issue.9 , pp. 1145-1157
    • Wu, G.1    Qi, F.2    Shen, D.3
  • 260
    • 4243157500 scopus 로고    scopus 로고
    • Image registration using hierarchical B-splines
    • XieZ, FarinGE. 2004. Image registration using hierarchical B-splines. IEEE Trans Vis Comput Graph. 10(1):85-94.
    • (2004) IEEE Trans Vis Comput Graph , vol.10 , Issue.1 , pp. 85-94
    • Xie, Z.1    Farin, G.E.2
  • 261
    • 0032028944 scopus 로고    scopus 로고
    • Snakes, shapes, and gradient vector flow
    • XuC, PrinceJL. 1998. Snakes, shapes, and gradient vector flow. IEEE Trans Image Process. 7(3):359-369.
    • (1998) IEEE Trans Image Process , vol.7 , Issue.3 , pp. 359-369
    • Xu, C.1    Prince, J.L.2
  • 262
    • 77950277389 scopus 로고    scopus 로고
    • Unified bundling and registration of brain white matter fibers
    • XuQ, AndersonAW, GoreJC, DingZ. 2009. Unified bundling and registration of brain white matter fibers. IEEE Trans Med Imaging. 28(9):1399-1411.
    • (2009) IEEE Trans Med Imaging , vol.28 , Issue.9 , pp. 1399-1411
    • Xu, Q.1    Anderson, A.W.2    Gore, J.C.3    Ding, Z.4
  • 263
    • 63649118478 scopus 로고    scopus 로고
    • Wavelet-based multiresolution medical image registration strategy combining mutual information with spatial information
    • XuR, ChenY-W. 2007. Wavelet-based multiresolution medical image registration strategy combining mutual information with spatial information. Int J Innov Comput Inform Cont. 3(2):285-296.
    • (2007) Int J Innov Comput Inform Cont , vol.3 , Issue.2 , pp. 285-296
    • Xu, R.1    Chen, Y.-W.2
  • 265
    • 56349088359 scopus 로고    scopus 로고
    • A quantitative evaluation of cross-participant registration techniques for MRI studies of the medial temporal lobe
    • YassaMA, StarkCEL. 2009. A quantitative evaluation of cross-participant registration techniques for MRI studies of the medial temporal lobe. NeuroImage. 44:319-327.
    • (2009) NeuroImage , vol.44 , pp. 319-327
    • Yassa, M.A.1    Stark, C.E.L.2
  • 269
    • 32944457658 scopus 로고    scopus 로고
    • A comparative study of transformation functions for nonrigid image registration
    • ZagorchevL, GoshtasbyA. 2006. A comparative study of transformation functions for nonrigid image registration. IEEE Trans Image Process. 15(3):529-538.
    • (2006) IEEE Trans Image Process , vol.15 , Issue.3 , pp. 529-538
    • Zagorchev, L.1    Goshtasby, A.2
  • 270
    • 0242456421 scopus 로고    scopus 로고
    • Review of shape representation and description techniques
    • ZhangD, LuG. 2004. Review of shape representation and description techniques. Patt Recogn. 37:1-19.
    • (2004) Patt Recogn , vol.37 , pp. 1-19
    • Zhang, D.1    Lu, G.2
  • 273
    • 0034536899 scopus 로고    scopus 로고
    • 3D image registration using a fast noniterative algorithm
    • ZhilkinP, AlexanderME. 2000. 3D image registration using a fast noniterative algorithm. Magn Reson Imaging. 18:1143-1150.
    • (2000) Magn Reson Imaging , vol.18 , pp. 1143-1150
    • Zhilkin, P.1    Alexander, M.E.2
  • 274
    • 1242269939 scopus 로고    scopus 로고
    • Affine registration: a comparison of several programs
    • ZhilkinP, AlexanderME. 2004. Affine registration: a comparison of several programs. Magn Reson Imaging. 22(1):55-66.
    • (2004) Magn Reson Imaging , vol.22 , Issue.1 , pp. 55-66
    • Zhilkin, P.1    Alexander, M.E.2
  • 275
    • 0036173417 scopus 로고    scopus 로고
    • Influence of implementation parameters on registration of MR and SPECT brain images by maximization of mutual information
    • ZhuY-M, CochoffSM. 2002. Influence of implementation parameters on registration of MR and SPECT brain images by maximization of mutual information. J Nucl Med. 43(2):160-166.
    • (2002) J Nucl Med , vol.43 , Issue.2 , pp. 160-166
    • Zhu, Y.-M.1    Cochoff, S.M.2
  • 276
    • 77955338877 scopus 로고    scopus 로고
    • A registration-based propagation framework for automatic whole heart segmentation of cardiac MRI
    • ZhuangX, RhodeKS, RazaviRS, HawkesDJ, OurselinS. 2010. A registration-based propagation framework for automatic whole heart segmentation of cardiac MRI. IEEE Trans Med Imaging. 29(9):1612-1625.
    • (2010) IEEE Trans Med Imaging , vol.29 , Issue.9 , pp. 1612-1625
    • Zhuang, X.1    Rhode, K.S.2    Razavi, R.S.3    Hawkes, D.J.4    Ourselin, S.5
  • 277
    • 0043237770 scopus 로고    scopus 로고
    • Image registration methods: a survey
    • ZitováB, FlusserJ. 2003. Image registration methods: a survey. Image Vis Comput. 21:977-1000.
    • (2003) Image Vis Comput , vol.21 , pp. 977-1000
    • Zitová, B.1    Flusser, J.2
  • 278
    • 73849119648 scopus 로고    scopus 로고
    • Co-registration of white matter tractographies by adaptive-mean-shift and gaussian mixture modeling
    • ZvitiaO, MayerA, ShadmiR, MironS, GreenspanHK. 2010. Co-registration of white matter tractographies by adaptive-mean-shift and gaussian mixture modeling. IEEE Trans Med Imaging. 29(1):132-145.
    • (2010) IEEE Trans Med Imaging , vol.29 , Issue.1 , pp. 132-145
    • Zvitia, O.1    Mayer, A.2    Shadmi, R.3    Miron, S.4    Greenspan, H.K.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.