메뉴 건너뛰기




Volumn 26, Issue 4, 2013, Pages 721-730

Cardiac image segmentation from cine cardiac MRI using graph cuts and shape priors

Author keywords

Cine cardiac; Graph cuts; MRI; Orientation histograms; Segmentation; Shape priors

Indexed keywords

CARDIAC IMAGE SEGMENTATION; CARDIAC MAGNETIC RESONANCE IMAGES; CINE CARDIAC; GRAPH CUT; INTENSITY INFORMATION; ORIENTATION HISTOGRAMS; SEGMENTATION ACCURACY; SHAPE PRIORS;

EID: 84880150336     PISSN: 08971889     EISSN: 1618727X     Source Type: Journal    
DOI: 10.1007/s10278-012-9548-5     Document Type: Article
Times cited : (47)

References (58)
  • 2
    • 0034744995 scopus 로고    scopus 로고
    • Three dimensional modeling for functional analysis of cardiac images: A review
    • 10.1109/42.906421 1:STN:280:DC%2BD3MzjvV2ltA%3D%3D
    • Frangi AF, Niessen WJ, Viergever MA: Three dimensional modeling for functional analysis of cardiac images: a review. IEEE Trans Med. Imag 20(1):2-25, 2001
    • (2001) IEEE Trans Med. Imag , vol.20 , Issue.1 , pp. 2-25
    • Frangi, A.F.1    Niessen, W.J.2    Viergever, M.A.3
  • 3
    • 79851510761 scopus 로고    scopus 로고
    • A review of segmentation methods in short axis cardiac MR images
    • 10.1016/j.media.2010.12.004
    • Petitjean C, Dacher J-N: A review of segmentation methods in short axis cardiac MR images. Med Imag Anal 15(2):169-184, 2011
    • (2011) Med Imag Anal , vol.15 , Issue.2 , pp. 169-184
    • Petitjean, C.1    Dacher, J.-N.2
  • 4
    • 1642540080 scopus 로고    scopus 로고
    • Accurate quantification of right ventricular mass at MR imaging by using cine true fast imaging with steady state precession: Study in dogs
    • 14699182 10.1148/radiol.2302021309
    • Shors S, Fung C, Francois C, Finn P, Fieno D: Accurate quantification of right ventricular mass at MR imaging by using cine true fast imaging with steady state precession: study in dogs. Radiology 230(2):383-388, 2004
    • (2004) Radiology , vol.230 , Issue.2 , pp. 383-388
    • Shors, S.1    Fung, C.2    Francois, C.3    Finn, P.4    Fieno, D.5
  • 5
    • 0033201371 scopus 로고    scopus 로고
    • Model based quantization of 3-D magnetic resonance angiographic images
    • 10.1109/42.811279 1:STN:280:DC%2BD3c%2Fpt1GktA%3D%3D
    • Frangi AF, Niessen WJ, Hoogeveen R, van Walsum T, Viergever MA: Model based quantization of 3-D magnetic resonance angiographic images. IEEE Trans Med Imag 18(10):946-956, 1999
    • (1999) IEEE Trans Med Imag , vol.18 , Issue.10 , pp. 946-956
    • Frangi, A.F.1    Niessen, W.J.2    Hoogeveen, R.3    Van Walsum, T.4    Viergever, M.A.5
  • 6
    • 0036880230 scopus 로고    scopus 로고
    • Analysis of vasculature for liver surgical planning
    • 10.1109/TMI.2002.801166
    • Selle D, Preim B, Schnek A, Peitgen H: "Analysis of vasculature for liver surgical planning. IEEE Trans Med Imag 21(11):1344-1357, 2002
    • (2002) IEEE Trans Med Imag , vol.21 , Issue.11 , pp. 1344-1357
    • Selle, D.1    Preim, B.2    Schnek, A.3    Peitgen, H.4
  • 7
    • 3042755199 scopus 로고    scopus 로고
    • Intra and interstudy reproducibility of coronary artery diameter measurements in magnetic resonance coronary angiography
    • 10.1002/jmri.20094
    • Keegan J, Horkaew P, Buchanan T, Smart T, Yang G, Firmin D: Intra and interstudy reproducibility of coronary artery diameter measurements in magnetic resonance coronary angiography. J Magn Reson Imag 20(1):160-166, 2004
    • (2004) J Magn Reson Imag , vol.20 , Issue.1 , pp. 160-166
    • Keegan, J.1    Horkaew, P.2    Buchanan, T.3    Smart, T.4    Yang, G.5    Firmin, D.6
  • 8
    • 21244458787 scopus 로고    scopus 로고
    • Segmentation of non-viable myocardium in delayed magnetic resonance images
    • 10.1007/s10554-004-5806-z
    • Kolipaka A, Chatzimavroudis G, White R, O'Donnell T, Setser R: Segmentation of non-viable myocardium in delayed magnetic resonance images. Int J Cadiovasc Imag 21(2):303-311, 2005
    • (2005) Int J Cadiovasc Imag , vol.21 , Issue.2 , pp. 303-311
    • Kolipaka, A.1    Chatzimavroudis, G.2    White, R.3    O'Donnell, T.4    Setser, R.5
  • 10
    • 33750479868 scopus 로고    scopus 로고
    • Myocardial perfusion
    • 10.1002/jmri.20753
    • Schwitter J: Myocardial perfusion. J Magn Reson Imag 24(5):953-963, 2006
    • (2006) J Magn Reson Imag , vol.24 , Issue.5 , pp. 953-963
    • Schwitter, J.1
  • 11
  • 12
    • 33744810359 scopus 로고    scopus 로고
    • Construction of a 4D statistical atlas of the cardiac anatomy and its use in classification
    • Perperidis D, Mohiaddin R, Rueckert D: Construction of a 4D statistical atlas of the cardiac anatomy and its use in classification. In: MICCAI, 2005, pp 402-410
    • (2005) MICCAI , pp. 402-410
    • Perperidis, D.1    Mohiaddin, R.2    Rueckert, D.3
  • 13
    • 70449337373 scopus 로고    scopus 로고
    • Graph-based knowledge-driven discrete segmentation of the left ventricle
    • Besbes A, Komodakis N, Paragios N: Graph-based knowledge-driven discrete segmentation of the left ventricle. In: ISBI, 2009, pp 49-52
    • (2009) ISBI , pp. 49-52
    • Besbes, A.1    Komodakis, N.2    Paragios, N.3
  • 14
    • 51949103957 scopus 로고    scopus 로고
    • Segmentation of left ventricle from 3D cardiac mr image sequence using a subject specific dynamic model
    • Zhu Y, Papademetris X, Sinusas A et al: Segmentation of left ventricle from 3D cardiac mr image sequence using a subject specific dynamic model. In: Proc. CVPR, 2009, pp 1-8
    • (2009) Proc. CVPR , pp. 1-8
    • Zhu, Y.1    Papademetris, X.2    Sinusas, A.3
  • 15
    • 33750227279 scopus 로고    scopus 로고
    • Segmenting and tracking of the left ventricle by learning the dynamics in cardiac images
    • Sun W, Setin M, Chan R et al: Segmenting and tracking of the left ventricle by learning the dynamics in cardiac images. In: Proc. IPMI, 2005, pp 553-565
    • (2005) Proc. IPMI , pp. 553-565
    • Sun, W.1    Setin, M.2    Chan, R.3
  • 17
    • 4444326727 scopus 로고    scopus 로고
    • Automated segmentation of the left ventricle in cardiac MRI
    • 15450219 10.1016/j.media.2004.06.015
    • Kaus MR, von Berg J, Weese J, Niessen W, Pekar V: Automated segmentation of the left ventricle in cardiac MRI. Med Image Anal 8(3):245-254, 2004
    • (2004) Med Image Anal , vol.8 , Issue.3 , pp. 245-254
    • Kaus, M.R.1    Von Berg, J.2    Weese, J.3    Niessen, W.4    Pekar, V.5
  • 18
    • 58849108680 scopus 로고    scopus 로고
    • Automatic recovery of the left ventricle blood pool in cardiac cine MR images
    • Jolly MP et al: Automatic recovery of the left ventricle blood pool in cardiac cine MR images. In: MICCAI, 2008, pp 110-118
    • (2008) MICCAI , pp. 110-118
    • Jolly, M.P.1
  • 20
    • 0032129866 scopus 로고    scopus 로고
    • Geodesic deformable models for medical image analysis
    • 10.1109/42.730407 1:STN:280:DyaK1M%2FlvFCmsw%3D%3D
    • Niessen WJ, Romeny BMTH, Viergever MA: Geodesic deformable models for medical image analysis. IEEE Trans Med Imag 17(4):634-41, 1998
    • (1998) IEEE Trans Med Imag , vol.17 , Issue.4 , pp. 634-641
    • Niessen, W.J.1    Romeny, B.2    Viergever, M.A.3
  • 21
    • 0036891611 scopus 로고    scopus 로고
    • A variational approach for the segmentation of the left ventricle in cardiac image analysis
    • 10.1023/A:1020882509893
    • Paragios N: A variational approach for the segmentation of the left ventricle in cardiac image analysis. Intl J Comp Vis 50(3):345-362, 2002
    • (2002) Intl J Comp Vis , vol.50 , Issue.3 , pp. 345-362
    • Paragios, N.1
  • 22
    • 33746428453 scopus 로고    scopus 로고
    • Automatic segmentation of the left ventricle in cardiac MR and CT images
    • 10.1007/s11263-006-7936-3
    • Jolly MP: Automatic segmentation of the left ventricle in cardiac MR and CT images. Int J Comp Vision 70(2):151-163, 2006
    • (2006) Int J Comp Vision , vol.70 , Issue.2 , pp. 151-163
    • Jolly, M.P.1
  • 23
    • 4444300723 scopus 로고    scopus 로고
    • Statistical shape model of atria, ventricles and epicardium from short- and long-axis MR images
    • 10.1016/j.media.2004.06.013
    • Ltjnen J, Kivist S, Koikkalainen J, Smutek D, Lauerma K: Statistical shape model of atria, ventricles and epicardium from short- and long-axis MR images. Med Image Anal 8(3):371-386, 2004
    • (2004) Med Image Anal , vol.8 , Issue.3 , pp. 371-386
    • Ltjnen, J.1    Kivist, S.2    Koikkalainen, J.3    Smutek, D.4    Lauerma, K.5
  • 25
    • 78349259300 scopus 로고    scopus 로고
    • Joint registration and segmentation of dynamic cardiac perfusion images using MRFs
    • Mahapatra D, Sun Y: Joint registration and segmentation of dynamic cardiac perfusion images using MRFs. In: Proc. MICCAI, 2010, pp 493-501
    • (2010) Proc. MICCAI , pp. 493-501
    • Mahapatra, D.1    Sun, Y.2
  • 26
    • 84255162802 scopus 로고    scopus 로고
    • Integrating segmentation information for improved MRF based elastic image registration
    • 10.1109/TIP.2011.2162738
    • Mahapatra D, Sun Y: Integrating segmentation information for improved MRF based elastic image registration. IEEE Trans Imag Proc 21(1):170-183, 2012
    • (2012) IEEE Trans Imag Proc , vol.21 , Issue.1 , pp. 170-183
    • Mahapatra, D.1    Sun, Y.2
  • 27
    • 0035324512 scopus 로고    scopus 로고
    • Multistage hybrid active appearance models: Segmentation of cardiac MR and ultrasound images
    • 10.1109/42.925294 1:STN:280:DC%2BD3MzjsFalsQ%3D%3D
    • Mitchell SC, Lelieveldt BPF, et al: Multistage hybrid active appearance models: segmentation of cardiac MR and ultrasound images. IEEE Trans Med. Imag 20(5):415-423, 2001
    • (2001) IEEE Trans Med. Imag , vol.20 , Issue.5 , pp. 415-423
    • Mitchell, S.C.1    Lelieveldt, B.P.F.2
  • 28
    • 0029269575 scopus 로고
    • Segmentation of cardiac cine MR images for extraction of right and left ventricular chambers
    • 10.1109/42.370402 1:STN:280:DC%2BD1c%2FmtlKmsQ%3D%3D
    • Goshtasby A, Turner D: Segmentation of cardiac cine MR images for extraction of right and left ventricular chambers. IEEE Trans Med Imag 14(1):56-64, 1995
    • (1995) IEEE Trans Med Imag , vol.14 , Issue.1 , pp. 56-64
    • Goshtasby, A.1    Turner, D.2
  • 29
    • 0031195396 scopus 로고    scopus 로고
    • Learning based ventricle detection from cardiac MR and CT images
    • 10.1109/42.611346 1:STN:280:DyaK2svgvVCktQ%3D%3D
    • Weng J, Singh A, Chiu M: Learning based ventricle detection from cardiac MR and CT images. IEEE Trans Med Imag 16(4):378-391, 1997
    • (1997) IEEE Trans Med Imag , vol.16 , Issue.4 , pp. 378-391
    • Weng, J.1    Singh, A.2    Chiu, M.3
  • 30
    • 84903811834 scopus 로고    scopus 로고
    • A new automated technique for left and right ventricular segmentation in magnetic resonance imaging in IEEE
    • Katouzian A, Konofagau E, Prakash A: A new automated technique for left and right ventricular segmentation in magnetic resonance imaging in IEEE. In: EMBS, 2006, pp 3074-3077
    • (2006) EMBS , pp. 3074-3077
    • Katouzian, A.1    Konofagau, E.2    Prakash, A.3
  • 31
    • 0344823757 scopus 로고    scopus 로고
    • Automatic segmentation of cardiac MRI
    • Gering D: Automatic segmentation of cardiac MRI. In: MICCAI, 2003, pp 524-532
    • (2003) MICCAI , pp. 524-532
    • Gering, D.1
  • 33
    • 4143087358 scopus 로고    scopus 로고
    • Estimation of right ventricular volume without geometrical assumptions utilizing cardiac magnetic resonance data
    • Battani R, Corsi C, Sarti A et al: Estimation of right ventricular volume without geometrical assumptions utilizing cardiac magnetic resonance data. In: Comput Cardiol, 2003, pp 81-84
    • (2003) Comput Cardiol , pp. 81-84
    • Battani, R.1    Corsi, C.2    Sarti, A.3
  • 34
    • 18844373951 scopus 로고    scopus 로고
    • STACS: New active contour scheme for cardiac MR image segmentation
    • 10.1109/TMI.2005.843740
    • Pluempitiwiriyawej C, Moura JMF, Wu YL, Ho C: STACS: new active contour scheme for cardiac MR image segmentation. IEEE Trans Med Imag 24(5):593-603, 2005
    • (2005) IEEE Trans Med Imag , vol.24 , Issue.5 , pp. 593-603
    • Pluempitiwiriyawej, C.1    Moura, J.M.F.2    Wu, Y.L.3    Ho, C.4
  • 36
    • 68849102377 scopus 로고    scopus 로고
    • Cardiac motion recovery and boundary conditions estimation by coupling an electromechanical model and cine-MRI data
    • Billet F, Sermeanst M,Delingette H et al: Cardiac motion recovery and boundary conditions estimation by coupling an electromechanical model and cine-MRI data. In: Functional imaging and modeling of the heart (FMIH), 2009, pp 376-385
    • (2009) Functional Imaging and Modeling of the Heart (FMIH) , pp. 376-385
    • Billet, F.1    Sermeanst, M.2    Delingette, H.3
  • 37
    • 4143083980 scopus 로고    scopus 로고
    • Active shape models with invariant optimal features (IOFASM) - Application to cardiac MRI segmentation
    • Ordas S, Boisrobert L, Huguet M et al: Active shape models with invariant optimal features (IOFASM) - application to cardiac MRI segmentation. In: Comput Cardiol, 2003, pp 633-636
    • (2003) Comput Cardiol , pp. 633-636
    • Ordas, S.1    Boisrobert, L.2    Huguet, M.3
  • 38
    • 84974712427 scopus 로고    scopus 로고
    • Atlas based segmentation and tracking of 3D cardiac MR images using non-rigid registration
    • Lorenzo-Valdes M, Sanchez-Ortis G, Mohiaddin R et al: Atlas based segmentation and tracking of 3D cardiac MR images using non-rigid registration. In: MICCAI, 2002, pp 642-650
    • (2002) MICCAI , pp. 642-650
    • Lorenzo-Valdes, M.1    Sanchez-Ortis, G.2    Mohiaddin, R.3
  • 39
    • 0036892825 scopus 로고    scopus 로고
    • Diffusion snakes: Introducing statistical shape knowledge into the Mumford-Shah functional
    • 10.1023/A:1020826424915
    • Cremers D, Tischhauser F, Weickert J, Schnorr C: Diffusion snakes: introducing statistical shape knowledge into the Mumford-Shah functional. Intl J Comp Vis 50(3):295-313, 2002
    • (2002) Intl J Comp Vis , vol.50 , Issue.3 , pp. 295-313
    • Cremers, D.1    Tischhauser, F.2    Weickert, J.3    Schnorr, C.4
  • 40
    • 51949119296 scopus 로고    scopus 로고
    • Bayesian approach for image segmentation with shape priors
    • Chang H, Yang Q, Parvin B: Bayesian approach for image segmentation with shape priors. In: CVPR, 2008, pp 1-8
    • (2008) CVPR , pp. 1-8
    • Chang, H.1    Yang, Q.2    Parvin, B.3
  • 41
    • 33745128094 scopus 로고    scopus 로고
    • Interactive graph cut based segmentation with shape priors
    • Freedman D, Zhang T: Interactive graph cut based segmentation with shape priors. In CVPR, 2005, pp 755-762
    • (2005) CVPR , pp. 755-762
    • Freedman, D.1    Zhang, T.2
  • 42
    • 33749647722 scopus 로고    scopus 로고
    • Graph cuts segmentation using an elliptical shape prior
    • Slabaugh G, Unal G: Graph cuts segmentation using an elliptical shape prior. In: ICIP, 2005, pp 1222-1225
    • (2005) ICIP , pp. 1222-1225
    • Slabaugh, G.1    Unal, G.2
  • 43
    • 80053491301 scopus 로고    scopus 로고
    • Orientation histograms as shape priors for left ventricle segmentation using graph cuts
    • Mahapatra D, Sun Y: Orientation histograms as shape priors for left ventricle segmentation using graph cuts. In: Proc MICCAI, 2011, pp 420-427
    • (2011) Proc MICCAI , pp. 420-427
    • Mahapatra, D.1    Sun, Y.2
  • 44
    • 0035509961 scopus 로고    scopus 로고
    • Fast approximate energy minimization via graph cuts
    • 10.1109/34.969114
    • Boykov Y, Veksler O: Fast approximate energy minimization via graph cuts. IEEE Trans Pattern Anal Mach Intell 23:1222-1239, 2001
    • (2001) IEEE Trans Pattern Anal Mach Intell , vol.23 , pp. 1222-1239
    • Boykov, Y.1    Veksler, O.2
  • 45
    • 51949098964 scopus 로고    scopus 로고
    • Shape prior segmentation of multiple objects with graph cuts
    • Vu N, Manjunath BS: Shape prior segmentation of multiple objects with graph cuts. in CVPR 2008
    • (2008) CVPR
    • Vu, N.1    Manjunath, B.S.2
  • 46
    • 77955991163 scopus 로고    scopus 로고
    • A shape driven MRF model for the segmentation of organs in medical images
    • Chittajallu DR, Shah SK, Kakadiaris IA: A shape driven MRF model for the segmentation of organs in medical images. In: CVPR, 2010, pp 3233-3240
    • (2010) CVPR , pp. 3233-3240
    • Chittajallu, D.R.1    Shah, S.K.2    Kakadiaris, I.A.3
  • 47
    • 56749156126 scopus 로고    scopus 로고
    • Star shape prior for graph cut segmentation
    • Veksler O: Star shape prior for graph cut segmentation. In: ECCV, 2008, pp 454-467
    • (2008) ECCV , pp. 454-467
    • Veksler, O.1
  • 48
    • 51449113023 scopus 로고    scopus 로고
    • Segmentation of the left ventricle in cardiac mr images using graph cuts with parametric shape priors
    • Zhu-Jacquot J, Zabih R: Segmentation of the left ventricle in cardiac mr images using graph cuts with parametric shape priors. In: ICASSP, 2008, pp 521-524
    • (2008) ICASSP , pp. 521-524
    • Zhu-Jacquot, J.1    Zabih, R.2
  • 49
    • 84883849462 scopus 로고    scopus 로고
    • Left ventricle segmentation via graph cut distribution matching
    • Ben Ayed I, Punithakumar K, Li S et al: Left ventricle segmentation via graph cut distribution matching. In: MICCAI 2009, pp 901-909
    • (2009) MICCAI , pp. 901-909
    • Ben Ayed, I.1    Punithakumar, K.2    Li, S.3
  • 50
    • 38149125527 scopus 로고    scopus 로고
    • Graph cuts framework for kidney segmentation with prior shape constraints
    • Ali AM, Farag AA, El-Baz AS: Graph cuts framework for kidney segmentation with prior shape constraints. In: MICCAI 2007
    • (2007) MICCAI
    • Ali, A.M.1    Farag, A.A.2    El-Baz, A.S.3
  • 51
    • 51049084003 scopus 로고    scopus 로고
    • Registration of dynamic renal mr images using neurobiological model of saliency
    • Mahapatra D, Sun Y: Registration of dynamic renal mr images using neurobiological model of saliency. In: Proc. ISBI, 2008, pp 1119-1122
    • (2008) Proc. ISBI , pp. 1119-1122
    • Mahapatra, D.1    Sun, Y.2
  • 52
    • 0036538619 scopus 로고    scopus 로고
    • Shape matching and object recognition using shape contexts
    • 10.1109/34.993558
    • Belongie S, Malik J, Puzicha J: Shape matching and object recognition using shape contexts. IEEE PAMI 24(24):509-522, 2002
    • (2002) IEEE PAMI , vol.24 , Issue.24 , pp. 509-522
    • Belongie, S.1    Malik, J.2    Puzicha, J.3
  • 53
    • 0031240184 scopus 로고    scopus 로고
    • A methodology for evaluation of boundary detection algorithms on medical images
    • 10.1109/42.640755 1:STN:280:DyaK1c%2FjsVCrsw%3D%3D
    • Chalana V, Kim Y: A methodology for evaluation of boundary detection algorithms on medical images. IEEE Trans Med Imag 16(5):642-652, 1997
    • (1997) IEEE Trans Med Imag , vol.16 , Issue.5 , pp. 642-652
    • Chalana, V.1    Kim, Y.2
  • 55
    • 79961177806 scopus 로고    scopus 로고
    • The cardiac atlas project an imaging database for computational modeling and statistical atlases of the heart
    • 21737439 10.1093/bioinformatics/btr360 1:CAS:528:DC%2BC3MXhtVSiurnN
    • Fonseca CG: The cardiac atlas project an imaging database for computational modeling and statistical atlases of the heart. Bioinformatics 27(16):2288-2295, 2011
    • (2011) Bioinformatics , vol.27 , Issue.16 , pp. 2288-2295
    • Fonseca, C.G.1
  • 57
  • 58
    • 0033880824 scopus 로고    scopus 로고
    • Left ventricular mass and volume: Fast calculation with guide-point modeling on MR images
    • Young AA, Cowan BR, Thrupp SF, Hedley WJ, DellItalia LJ: Left ventricular mass and volume: fast calculation with guide-point modeling on MR images. Radiology 202(2):597-602, 2000
    • (2000) Radiology , vol.202 , Issue.2 , pp. 597-602
    • Young, A.A.1    Cowan, B.R.2    Thrupp, S.F.3    Hedley, W.J.4    Dellitalia, L.J.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.