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Volumn 32, Issue 6, 2015, Pages 413-427

Image Segmentation Methods and Applications in MRI Brain Images

Author keywords

Automatic segmentation techniques; Cerebrospinal fluid; Gray matter; Magnetic resonance imaging; Medical imaging; MRI segmentation; Tissue classification; White matter

Indexed keywords

BRAIN; BRAIN MAPPING; CEREBROSPINAL FLUID; DIAGNOSIS; DISEASE CONTROL; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGE PROCESSING; MEDICAL IMAGING;

EID: 84957609538     PISSN: 02564602     EISSN: 09745971     Source Type: Journal    
DOI: 10.1080/02564602.2015.1027307     Document Type: Review
Times cited : (52)

References (77)
  • 1
    • 84874110613 scopus 로고    scopus 로고
    • Image thresholding based on template matching with arctangent hausdorff distance measure
    • May
    • Y. Zou, F. Dong, B. Lei, L. Fang, and S. Sun, "Image thresholding based on template matching with arctangent Hausdorff distance measure," Opt. Laser Eng., Vol. 51, no. 5, pp. 600-9, May 2013.
    • (2013) Opt. Laser Eng , vol.51 , Issue.5 , pp. 600-609
    • Zou, Y.1    Dong, F.2    Lei, B.3    Fang, L.4    Sun, S.5
  • 2
    • 78651323018 scopus 로고    scopus 로고
    • A framework with modified fast fcm for brain mr images segmentation
    • Dec
    • Z.-X. Ji, Q.-S. Sun, and D.-S. Xia, "A framework with modified fast FCM for brain MR images segmentation," Pattern Recognit., Vol. 44, no.12, pp. 999-1013, Dec. 2011.
    • (2011) Pattern Recognit , vol.44 , Issue.12 , pp. 999-1013
    • Ji, Z.-X.1    Sun, Q.-S.2    Xi, D.-S.3
  • 3
    • 79551510428 scopus 로고    scopus 로고
    • A novel method for volumetric mri response assessment of enhancing brain tumors
    • Jan
    • C. W. Kanaly, D. Ding, A. I. Mehta, A. F. Waller, I. Crocker, A. Desjardins, et al., "A novel method for volumetric MRI response assessment of enhancing brain tumors," PLOS One, Vol. 6, no. 1, p. e16031, Jan. 2011.
    • (2011) PLOS One , vol.6 , Issue.1 , pp. e16031
    • Kanaly, C.W.1    Ding, D.2    Mehta, A.I.3    Waller, A.F.4    Crocker, I.5    Desjardins, A.6
  • 4
    • 79958744084 scopus 로고    scopus 로고
    • Medical image segmentation algorithms using deformable models: A review
    • (Medknow Publications & Media Pvt. Ltd.) Sep
    • D. Jayadevappa, S. Srinivas Kumar, and D. S. Murty, "Medical image segmentation algorithms using deformable models: A review," IETE Tech. Rev. (Medknow Publications & Media Pvt. Ltd.), Vol. 28, no. 3, pp. 248-55, Sep. 2014.
    • (2014) IETE Tech. Rev , vol.28 , Issue.3 , pp. 248-255
    • Jayadevappa, D.1    Srinivas Kumar, S.2    Murty, D.S.3
  • 7
    • 84957718839 scopus 로고    scopus 로고
    • Segmentation of the brain from mr images
    • J. Caesar, "Segmentation of the brain from MR images," Link-öping, 2005.
    • (2005) Link-öping
    • Caesar, J.1
  • 8
    • 0039858797 scopus 로고    scopus 로고
    • Fast iterative segmentation of high resolution medical images
    • Jun
    • T. J. Hebert, "Fast iterative segmentation of high resolution medical images," Nucl. Sci. IEEE Trans., Vol. 44, no. 3, pp. 1362-7, Jun. 1997.
    • (1997) Nucl. Sci. IEEE Trans , vol.44 , Issue.3 , pp. 1362-1367
    • Hebert, T.J.1
  • 9
    • 0032843554 scopus 로고    scopus 로고
    • An adaptive fuzzy c-means algorithm for image segmentation in the presence of intensity inhomogeneities
    • Apr
    • D. L. Pham, and J. L. Prince, "An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities," Pattern Recogn. Lett., Vol. 20, no. 1, pp. 57-68, Apr. 1999.
    • (1999) Pattern Recogn. Lett , vol.20 , Issue.1 , pp. 57-68
    • Pham, D.L.1    Prince, J.L.2
  • 10
    • 81255163179 scopus 로고    scopus 로고
    • Reducing the absorbed dose in analogue radiography of infant chest images by improving the image quality, using image processing techniques
    • Jul
    • A. Karimian, S. Yazdani, and M. Askari, "Reducing the absorbed dose in analogue radiography of infant chest images by improving the image quality, using image processing techniques," Radiat. Prot Dosim., Vol. 147, no. 1-2, pp. 176-9, Jul. 2011.
    • (2011) Radiat. Prot Dosim , vol.147 , Issue.1-2 , pp. 176-179
    • Karimian, A.1    Yazdani, S.2    Askari, M.3
  • 11
    • 84879649138 scopus 로고    scopus 로고
    • Evaluation of current dental radiographs segmentation approaches in computer-Aided applications
    • (Medknow Publications & Media Pvt. Ltd.) Sep
    • A. Ehsani Rad, M. Rahim, M. Shafry, A. Rehman, A. Altameem, and T. Saba, "Evaluation of current dental radiographs segmentation approaches in computer-Aided applications," IETE Technical Review (Medknow Publications & Media Pvt. Ltd.), Vol. 30, no. 3, pp. 210-22, Sep. 2014.
    • (2014) IETE Technical Review , vol.30 , Issue.3 , pp. 210-222
    • Ehsani Rad, A.1    Rahim, M.2    Shafry, M.3    Rehman, A.4    Altameem, A.5    Sa, T.6
  • 12
    • 1842422015 scopus 로고    scopus 로고
    • Survey over image thresholding techniques and quantitative performance evaluation
    • Mar
    • M. Sezgin, "Survey over image thresholding techniques and quantitative performance evaluation," J. Electron. Imaging, Vol. 13, no. 1, pp. 146-68, Mar. 2004.
    • (2004) J. Electron. Imaging , vol.13 , Issue.1 , pp. 146-168
    • Sezgin, M.1
  • 14
    • 0029376019 scopus 로고
    • Markov random field for tumor detection in digital mammography
    • Sept
    • H. Li, M. Kallergi, L. Clarke, V. Jain, and R. Clark, "Markov random field for tumor detection in digital mammography," Med. Imag., IEEE Trans., Vol. 14, no. 3, pp. 565-76, Sept. 1995.
    • (1995) Med. Imag., IEEE Trans , vol.14 , Issue.3 , pp. 565-576
    • Li, H.1    Kallergi, M.2    Clarke, L.3    Jain, V.4    Clark, R.5
  • 15
    • 84879687156 scopus 로고    scopus 로고
    • Two-dimensional extension of variance-based thresholding for image segmentation
    • Sep
    • F. Nie, Y. Wang, M. Pan, G. Peng, and P. Zhang, "Two-dimensional extension of variance-based thresholding for image segmentation," Multidim. Syst. Signal Process., Vol. 24, no. 3, pp. 485-501, Sep. 2013.
    • (2013) Multidim. Syst. Signal Process , vol.24 , Issue.3 , pp. 485-501
    • Nie, F.1    Wang, Y.2    Pan, M.3    Peng, G.4    Zhang, P.5
  • 16
    • 0027658896 scopus 로고
    • A review on image segmentation techniques
    • Sept
    • N. R. Pal, and S. K. Pal, "A review on image segmentation techniques," Pattern Recogn., Vol. 26, no. 9, pp. 1277-94, Sept. 1993.
    • (1993) Pattern Recogn , vol.26 , Issue.9 , pp. 1277-1294
    • Pal, N.R.1    Pal, S.K.2
  • 17
    • 0027001622 scopus 로고
    • Optimized intensity thresholds for volumetric analysis of magnetic-resonance imaging data (proceedings only)
    • Sep
    • M. E. Brummer, "Optimized intensity thresholds for volumetric analysis of magnetic-resonance imaging data (Proceedings Only)," in Visualization in Biomedical Computing, Vol. 1808, pp. 299-310, Sep. 1992.
    • (1992) Visualization in Biomedical Computing , vol.1808 , pp. 299-310
    • Brummer, M.E.1
  • 18
    • 84906555374 scopus 로고    scopus 로고
    • Medical image segmentation methods, algorithms, and applications
    • Jun
    • A. Norouzi, M. S. M. Rahim, A. Altameem, T. Saba, A. E. Rad, A. Rehman, et al., "Medical image segmentation methods, algorithms, and applications," IETE Tech. Rev., Vol. 31, no. 3, pp. 199-213, Jun. 2014.
    • (2014) IETE Tech. Rev , vol.31 , Issue.3 , pp. 199-213
    • Norouzi, A.1    Rahim, M.S.M.2    Altameem, A.3    Saba, T.4    Rad, A.E.5    Rehman, A.6
  • 20
    • 0030170071 scopus 로고    scopus 로고
    • Segmentation of functional mri by k-means clustering
    • Jun
    • M. Singh, P. Patel, D. Khosla, and T. Kim, "Segmentation of functional MRI by K-means clustering," Nucl. Sci., IEEE Trans., Vol. 43, no. 3, pp. 2030-6, Jun. 1996.
    • (1996) Nucl. Sci. IEEE Trans , vol.43 , Issue.3 , pp. 2030-2036
    • Singh, M.1    Patel, P.2    Khosla, D.3    Kim, T.4
  • 21
    • 0026842556 scopus 로고
    • An adaptive clustering algorithm for image segmentation
    • Apr
    • T. N. Pappas, "An adaptive clustering algorithm for image segmentation," Signal Process, IEEE Trans., Vol. 40, no. 4, pp. 901-14, Apr. 1992.
    • (1992) Signal Process IEEE Trans , vol.40 , Issue.4 , pp. 901-914
    • Pappas, T.N.1
  • 23
    • 0034575445 scopus 로고    scopus 로고
    • Current methods in medical image segmentation
    • Aug
    • D. L. Pham, C. Y. Xu, and J. L. Prince, "Current methods in medical image segmentation," Ann. Rev. Biomed. Eng., Vol. 2, pp. 315-37, Aug. 2000.
    • (2000) Ann. Rev. Biomed. Eng , vol.2 , pp. 315-337
    • Pham, D.L.1    Xu, C.Y.2    Prince, J.L.3
  • 24
    • 84894475061 scopus 로고    scopus 로고
    • Fuzzy c-mean based brain mri segmentation algorithms
    • Mar
    • M. Balafar, "Fuzzy C-mean based brain MRI segmentation algorithms," Artifi. Intell. Rev., Vol. 41, no. 3, pp. 441-9, Mar. 2014.
    • (2014) Artifi. Intell. Rev , vol.41 , Issue.3 , pp. 441-449
    • Balafar, M.1
  • 25
    • 79958798585 scopus 로고    scopus 로고
    • A multiscale and multiblock fuzzy cmeans classification method for brain mr images
    • May
    • X. Yang, and B. Fei, "A multiscale and multiblock fuzzy Cmeans classification method for brain MR images," Med. Phys., Vol. 38, no. 6, pp. 2879, May 2011.
    • (2011) Med. Phys , vol.38 , Issue.6 , pp. 2879
    • Yang, X.1    Fei, B.2
  • 26
    • 0015644825 scopus 로고    scopus 로고
    • A fuzzy relative of the isodata process and its use in detecting compact well-separated clusters
    • Apr
    • J. C. Dunn, "A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters," Journal of Cybernetics, Vol. 3, no. 3, pp. 32-57, Apr. 2008.
    • (2008) Journal of Cybernetics , vol.3 , Issue.3 , pp. 32-57
    • Dunn, J.C.1
  • 27
    • 75749157687 scopus 로고    scopus 로고
    • Parameter optimization of improved fuzzy c-means clustering algorithm for brain mr image segmentation
    • Mar
    • M. Forouzanfar, N. Forghani, and M. Teshnehlab, "Parameter optimization of improved fuzzy c-means clustering algorithm for brain MR image segmentation," Eng. Appl. Artif. Intell., Vol. 23, no. 2, pp. 160-8, Mar. 2010.
    • (2010) Eng. Appl. Artif. Intell , vol.23 , Issue.2 , pp. 160-168
    • Forouzanfar, M.1    Forghani, N.2    Teshnehla, M.3
  • 28
    • 0036489378 scopus 로고    scopus 로고
    • A modified fuzzy c-means algorithm for bias field estimation and segmentation of mri data
    • Mar
    • M. N. Ahmed, S. M. Yamany, N. Mohamed, A. A. Farag, and T. Moriarty, "A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data," Med. Imag., IEEE Trans., Vol. 21, no. 3, pp. 193-9, Mar. 2002.
    • (2002) Med. Imag. IEEE Trans , vol.21 , Issue.3 , pp. 193-199
    • Ahmed, M.N.1    Yamany, S.M.2    Mohamed, N.3    Farag, A.A.4    Moriarty, T.5
  • 30
    • 0027850154 scopus 로고
    • Correction of intensity variations in mr images for computer-Aided tissue classification
    • Dec
    • B.M. Dawant, A. P. Zijdenbos, and R. A.Margolin, "Correction of intensity variations in MR images for computer-Aided tissue classification," Med. Imag., IEEE Trans., Vol. 12, no. 4, pp. 770-781, Dec. 1993.
    • (1993) Med. Imag. IEEE Trans , vol.12 , Issue.4 , pp. 770-781
    • Dawant, B.M.1    Zijdenbos, A.P.2    Margolin, R.A.3
  • 31
    • 0030126711 scopus 로고    scopus 로고
    • Segmentation of multiple sclerosis lesions in intensity corrected multispectral mri
    • Apr
    • B. Johnston, M. S. Atkins, B. Mackiewich, and M. Anderson, "Segmentation of multiple sclerosis lesions in intensity corrected multispectral MRI," Med. Imag., IEEE Trans., Vol. 15, no. 2, pp. 154-169, Apr. 1996.
    • (1996) Med. Imag. IEEE Trans , vol.15 , Issue.2 , pp. 154-169
    • Johnston, B.1    Atkins, M.S.2    Mackiewich, B.3    Anderson, M.4
  • 32
    • 4444347719 scopus 로고    scopus 로고
    • A novel kernelized fuzzy cmeans algorithm with application in medical image segmentation
    • Sept
    • D.-Q. Zhang, and S.-C. Chen, "A novel kernelized fuzzy cmeans algorithm with application in medical image segmentation," Artif. Intell. Med., Vol. 32, no. 1, pp. 37-50, Sept. 2004.
    • (2004) Artif. Intell. Med , vol.32 , Issue.1 , pp. 37-50
    • Zhang, D.-Q.1    Chen, S.-C.2
  • 34
    • 84871701023 scopus 로고    scopus 로고
    • Review of automatic segmentation methods of multiple sclerosis white matter lesions on conventional magnetic resonance imaging
    • Jan
    • D. García-Lorenzo, S. Francis, S. Narayanan, D. L. Arnold, and D. Louis Collins, "Review of automatic segmentation methods of multiple sclerosis white matter lesions on conventional magnetic resonance imaging," Med. Image Anal., Vol. 17, no. 1, pp.1-18, Jan. 2013.
    • (2013) Med. Image Anal , vol.17 , Issue.1 , pp. 1-18
    • García-Lorenzo, D.1    Francis, S.2    Narayanan, S.3    Arnold, D.L.4    Louis Collins, D.5
  • 35
    • 0033181293 scopus 로고    scopus 로고
    • Adaptive fuzzy segmentation of magnetic resonance images
    • Sept
    • D. L. Pham, and J. L. Prince, "Adaptive fuzzy segmentation of magnetic resonance images," Med. Imag., IEEE Trans., Vol. 18, no. 9, pp. 737-52, Sept. 1999.
    • (1999) Med. Imag. IEEE Trans , vol.18 , Issue.9 , pp. 737-752
    • Pham, D.L.1    Prince, J.L.2
  • 36
    • 34047136073 scopus 로고    scopus 로고
    • Topology-preserving tissue classification of magnetic resonance brain images
    • Apr
    • P.-L. Bazin, and D. L. Pham, "Topology-preserving tissue classification of magnetic resonance brain images," Med. Imag., IEEE Trans., Vol. 26, no. 4, pp. 487-96, Apr. 2007.
    • (2007) Med. Imag. IEEE Trans , vol.26 , Issue.4 , pp. 487-496
    • Bazin, P.-L.1    Pham, D.L.2
  • 37
    • 0031106955 scopus 로고    scopus 로고
    • Statistical approach to segmentation of single-channel cerebral mr images
    • Apr
    • J. C. Rajapakse, J. N. Giedd, and J. L. Rapoport, "Statistical approach to segmentation of single-channel cerebral MR images," Med. Imag., IEEE Trans., Vol. 16, no. 2, pp. 176-86, Apr. 1997.
    • (1997) Med. Imag. IEEE Trans , vol.16 , Issue.2 , pp. 176-186
    • Rajapakse, J.C.1    Giedd, J.N.2    Rapoport, J.L.3
  • 38
    • 0142260969 scopus 로고    scopus 로고
    • A fully automatic and robust brain mri tissue classification method
    • Dec
    • C. A. Cocosco, A. P. Zijdenbos, and A. C. Evans, "A fully automatic and robust brain MRI tissue classification method," Med. Image Anal., Vol. 7, no. 4, pp. 513-27, Dec. 2003.
    • (2003) Med. Image Anal , vol.7 , Issue.4 , pp. 513-527
    • Cocosco, C.A.1    Zijdenbos, A.P.2    Evans, A.C.3
  • 39
    • 0034151398 scopus 로고    scopus 로고
    • Adaptive, template moderated, spatially varying statistical classification
    • Mar
    • S. K. Warfield, M. Kaus, F. A. Jolesz, and R. Kikinis, "Adaptive, template moderated, spatially varying statistical classification," Med. Image Anal., Vol. 4, no. 1, pp. 43-55, Mar. 2000.
    • (2000) Med. Image Anal , vol.4 , Issue.1 , pp. 43-55
    • Warfield, S.K.1    Kaus, M.2    Jolesz, F.A.3    Kikinis, R.4
  • 40
    • 33748062327 scopus 로고    scopus 로고
    • Automated segmentation of multiple sclerosis lesion subtypes with multichannel mri
    • Sept
    • Y. Wu, S. K. Warfield, I. L. Tan, W. M. Wells, D. S. Meier, R. A. van Schijndel, et al., "Automated segmentation of multiple sclerosis lesion subtypes with multichannel MRI," Neuroimage, Vol. 32, no. 3, pp. 1205-15, Sept. 2006.
    • (2006) Neuroimage , vol.32 , Issue.3 , pp. 1205-1215
    • Wu, Y.1    Warfield, S.K.2    Tan, I.L.3    Wells, W.M.4    Meier, D.S.5    Van Schijndel, R.A.6
  • 42
    • 84890414433 scopus 로고    scopus 로고
    • Miscellaneous clustering methods
    • 5th ed., W. A. Shewhart, and S. S. Wilks, Eds. Wiley Series in Probability and Statistics
    • B. S. Everitt, S. Landau, M. Leese, and D. Stahl, "Miscellaneous clustering methods," in Cluster Analysis, 5th ed., W. A. Shewhart, and S. S. Wilks, Eds. Wiley Series in Probability and Statistics, 2011, pp. 215-55.
    • (2011) Cluster Analysis , pp. 215-255
    • Everitt, B.S.1    Landau, S.2    Leese, M.3    Stahl, D.4
  • 43
    • 0028004664 scopus 로고
    • Automated interpretation of planar thallium-201-dipyridamole stress-redistribution
    • Dec
    • G. Porenta, G. Dorffner, S. Kundrat, P. Petta, J. Duit-Schedimayer, and H. Sochor, "Automated interpretation of planar thallium-201-dipyridamole stress-redistribution," J. Nuci. Med., Vol. 35, no. 12, pp. 2041-7, Dec. 1994.
    • (1994) J. Nuci. Med , vol.35 , Issue.12 , pp. 2041-2047
    • Porenta, G.1    Dorffner, G.2    Kundrat, S.3    Petta, P.4    Duit-Schedimayer, J.5    Sochor, H.6
  • 44
    • 0027644794 scopus 로고
    • Accurate scatter compensation using neural networks in radionuclide imaging
    • Aug
    • K. Ogawa, and N. Nishizaki, "Accurate scatter compensation using neural networks in radionuclide imaging," Nucl. Sci., IEEE Trans., Vol. 40, no. 4, pp. 1020-5, Aug. 1993.
    • (1993) Nucl. Sci. IEEE Trans , vol.40 , Issue.4 , pp. 1020-1025
    • Ogawa, K.1    Nishizaki, N.2
  • 45
    • 0027662763 scopus 로고
    • Neural-networkbased segmentation of multi-modal medical images: A comparative and prospective study
    • Sep
    • M. Ozkan, B. M. Dawant, and R. J. Maciunas, "Neural-networkbased segmentation of multi-modal medical images: A comparative and prospective study," Med. Imag., IEEE Trans., Vol. 12, no. 3, pp. 534-44, Sep. 1993.
    • (1993) Med. Imag. IEEE Trans , vol.12 , Issue.3 , pp. 534-544
    • Ozkan, M.1    Dawant, B.M.2    Maciunas, R.J.3
  • 47
    • 0036689044 scopus 로고    scopus 로고
    • An accurate and efficient Bayesian method for automatic segmentation of brain mri
    • Aug
    • J. L. Marroquin, B. C. Vemuri, S. Botello, E. Calderon, and A. Fernandez-Bouzas, "An accurate and efficient Bayesian method for automatic segmentation of brain MRI," Med. Imag., IEEE Trans., Vol. 21, no. 8, pp. 934-45, Aug. 2002.
    • (2002) Med. Imag. IEEE Trans , vol.21 , Issue.8 , pp. 934-945
    • Marroquin, J.L.1    Vemuri, B.C.2    Botello, S.3    Calderon, E.4    Fernandez-Bouzas, A.5
  • 48
    • 43049179622 scopus 로고    scopus 로고
    • Efficient multilevel brain tumor segmentation with integrated Bayesian model classification
    • May
    • J. J. Corso, E. Sharon, S. Dube, S. El-Saden, U. Sinha, and A. Yuille, "Efficient multilevel brain tumor segmentation with integrated bayesian model classification," Med. Imag., IEEE Trans., Vol. 27, no. 5, pp. 629-40, May 2008.
    • (2008) Med. Imag. IEEE Trans , vol.27 , Issue.5 , pp. 629-640
    • Corso, J.J.1    Sharon, E.2    Dube, S.3    El-Saden, S.4    Sinha, U.5    Yuille, A.6
  • 49
    • 0029377853 scopus 로고
    • Model-based 3-d segmentation of multiple sclerosis lesions in magnetic resonance brain images
    • Sep
    • M. Kamber, R. Shinghal, D. L. Collins, G. S. Francis, and A. C. Evans, "Model-based 3-D segmentation of multiple sclerosis lesions in magnetic resonance brain images," Med. Imag., IEEE Trans., Vol. 14, no. 3, pp. 442-53, Sep. 1995.
    • (1995) Med. Imag. IEEE Trans , vol.14 , Issue.3 , pp. 442-453
    • Kamber, M.1    Shinghal, R.2    Collins, D.L.3    Francis, G.S.4    Evans, A.C.5
  • 50
    • 84965191334 scopus 로고    scopus 로고
    • Magnetic resonance image tissue classification using an automatic method
    • Dec
    • S. Yazdani, R. Yusof, A. Riazi, and A. Karimian, "Magnetic resonance image tissue classification using an automatic method," Diagn. Pathol., Vol. 9, no. 1, p. 207, Dec. 2014.
    • (2014) Diagn. Pathol , vol.9 , Issue.1 , pp. 207
    • Yazdani, S.1    Yusof, R.2    Riazi, A.3    Karimian, A.4
  • 51
    • 0037207303 scopus 로고    scopus 로고
    • Automated segmentation of multispectral brain mr images
    • Dec
    • A. H. Andersen, Z. Zhang, M. J. Avison, and D. M. Gash, "Automated segmentation of multispectral brain MR images," J. Neurosci. Methods, Vol. 122, no. 1, pp. 13-23, Dec. 2002.
    • (2002) J. Neurosci. Methods , vol.122 , Issue.1 , pp. 13-23
    • Andersen, A.H.1    Zhang, Z.2    Avison, M.J.3    Gash, D.M.4
  • 52
    • 33847774807 scopus 로고    scopus 로고
    • A review of methods for correction of intensity inhomogeneity in mri
    • Mar
    • U. Vovk, F. Pernus, and B. Likar, "A review of methods for correction of intensity inhomogeneity in MRI," Med. Imag., IEEE Trans., Vol. 26, no. 3, pp. 405-21, Mar. 2007.
    • (2007) Med. Imag. IEEE Trans , vol.26 , Issue.3 , pp. 405-421
    • Vovk, U.1    Pernus, F.2    Likar, B.3
  • 54
    • 0030405295 scopus 로고    scopus 로고
    • Optimal linear transformation for mri feature extraction
    • Dec
    • H. Soltanian-Zadeh, J. P. Windham, and D. J. Peck, "Optimal linear transformation for MRI feature extraction," Med. Imag., IEEE Trans., Vol. 15, no. 6, pp. 749-67, Dec. 1996.
    • (1996) Med. Imag. IEEE Trans , vol.15 , Issue.6 , pp. 749-767
    • Soltanian-Zadeh, H.1    Windham, J.P.2    Peck, D.J.3
  • 55
    • 79851510761 scopus 로고    scopus 로고
    • A review of segmentation methods in short axis cardiac mr images
    • Apr
    • C. Petitjean, and J.-N. Dacher, "A review of segmentation methods in short axis cardiac MR images," Med. Image Anal., Vol. 15, no. 2, pp. 169-84, Apr. 2011.
    • (2011) Med. Image Anal , vol.15 , Issue.2 , pp. 169-184
    • Petitjean, C.1    Dacher, J.-N.2
  • 56
    • 79955655739 scopus 로고    scopus 로고
    • Hybrid genetic and variational expectation-maximization algorithm for Gaussian-mixture-model-based brain mr image segmentation
    • Jan
    • G. Tian, Y. Xia, Y. Zhang, and D. Feng, "Hybrid genetic and variational expectation-maximization algorithm for Gaussian-mixture-model-based brain MR image segmentation," Inf. Technol. Biomed., IEEE Trans., Vol. 15, no. 3, pp. 373-80, Jan. 2011.
    • (2011) Inf. Technol. Biomed. IEEE Trans , vol.15 , Issue.3 , pp. 373-380
    • Tian, G.1    Xia, Y.2    Zhang, Y.3    Feng, D.4
  • 57
    • 84870426604 scopus 로고    scopus 로고
    • Maximum likelihood estimation from uncertain data in the belief function framework
    • Jan
    • T. Denoeux, "Maximum likelihood estimation from uncertain data in the belief function framework," Knowl. Data Eng., IEEE Trans., Vol. 25, no. 1, pp. 119-30, Jan. 2013.
    • (2013) Knowl. Data Eng. IEEE Trans , vol.25 , Issue.1 , pp. 119-130
    • Denoeux, T.1
  • 58
    • 84985896218 scopus 로고    scopus 로고
    • The em algorithm
    • J. E. Gentle, W. K. Härdle, and Y. Mori, Eds. Berlin Springer
    • S. K. Ng, T. Krishnan, and G. J. McLachlan, "The EM algorithm," in Handbook of Computational Statistics, J. E. Gentle, W. K. Härdle, and Y. Mori, Eds. Berlin: Springer, 2012, pp. 139-72.
    • (2012) Handbook of Computational Statistics , pp. 139-172
    • Ng, S.K.1    Krishnan, T.2    McLachlan, G.J.3
  • 59
    • 66249108273 scopus 로고    scopus 로고
    • Mr image segmentation using a power transformation approach
    • Jan
    • J. D. Lee, H. R. Su, P. E. Cheng, M. Liou, J. Aston, A. C. Tsai, et al., "MR image segmentation using a power transformation approach," Med. Imag., IEEE Trans., Vol. 28, no. 6, pp. 894-905, Jan. 2009.
    • (2009) Med. Imag. IEEE Trans , vol.28 , Issue.6 , pp. 894-905
    • Lee, J.D.1    Su, H.R.2    Cheng, P.E.3    Liou, M.4    Aston, J.5    Tsai, A.C.6
  • 60
    • 0023856093 scopus 로고
    • Parameter estimation for finite mixture distributions
    • Sept
    • J. Davenport, J. Bezdek, and R. Hathaway, "Parameter estimation for finite mixture distributions," Comput. Math. Appl., Vol. 15, no. 10, pp. 819-28, Sept. 1988.
    • (1988) Comput. Math. Appl , vol.15 , Issue.10 , pp. 819-828
    • Davenport, J.1    Bezdek, J.2    Hathaway, R.3
  • 61
    • 0033201366 scopus 로고    scopus 로고
    • Automated model-based tissue classification of mr images of the brain
    • Oct
    • K. Van Leemput, F. Maes, D. Vandermeulen, and P. Suetens, "Automated model-based tissue classification of MR images of the brain," Med. Imag., IEEE Trans., Vol. 18, no. 10, pp. 897-908, Oct. 1999.
    • (1999) Med. Imag. IEEE Trans , vol.18 , Issue.10 , pp. 897-908
    • Van Leemput, K.1    Maes, F.2    Vandermeulen, D.3    Suetens, P.4
  • 63
    • 70349090032 scopus 로고    scopus 로고
    • Statistical shape models for 3d medical image segmentation: A review
    • Aug
    • T. Heimann, and H.-P. Meinzer, "Statistical shape models for 3D medical image segmentation: A review," Med. Image Anal., Vol. 13, no. 4, pp. 543-63, Aug. 2009.
    • (2009) Med. Image Anal , vol.13 , Issue.4 , pp. 543-563
    • Heimann, T.1    Meinzer, H.-P.2
  • 65
    • 34447568454 scopus 로고    scopus 로고
    • Multi-spectral brain tissue segmentation using automatically trained k-nearest-neighbor classification
    • Aug
    • H. A. Vrooman, C. A. Cocosco, F. van der Lijn, R. Stokking, M. A. Ikram, M. W. Vernooij, et al., "Multi-spectral brain tissue segmentation using automatically trained k-Nearest-Neighbor classification," Neuroimage, Vol. 37, no. 1, pp. 71-81, Aug. 2007.
    • (2007) Neuroimage , vol.37 , Issue.1 , pp. 71-81
    • Vrooman, H.A.1    Cocosco, C.A.2    Lijn Der F.Van3    Stokking, R.4    Ikram, M.A.5    Vernooij, M.W.6
  • 66
    • 0038736725 scopus 로고    scopus 로고
    • A shape-based approach to the segmentation of medical imagery using level sets
    • Feb
    • A. Tsai, A. Yezzi Jr, W. Wells, C. Tempany, D. Tucker, A. Fan, et al., "A shape-based approach to the segmentation of medical imagery using level sets," Med. Imag., IEEE Trans., Vol. 22, no. 2, pp. 137-54, Feb. 2003.
    • (2003) Med. Imag. IEEE Trans , vol.22 , Issue.2 , pp. 137-154
    • Tsai, A.1    Yezzi, A.2    Wells, W.3    Tempany, C.4    Tucker, D.5    Fan, A.6
  • 67
    • 84919679741 scopus 로고    scopus 로고
    • Transition region-based active contour model for image segmentation
    • W. Wen, C. He, and M. Li, "Transition region-based active contour model for image segmentation," J. Electron. Imag., Vol. 22, pp. 013021-013021, 2013.
    • (2013) J. Electron. Imag , vol.22 , pp. 013021
    • Wen, W.1    He, C.2    Li, M.3
  • 68
    • 77951209202 scopus 로고    scopus 로고
    • Active contours driven by local and global intensity fitting energy with application to brain mr image segmentation
    • Oct
    • L. Wang, C. Li, Q. Sun, D. Xia, and C. Y. Kao, "Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation," Comput. Med. Imag. Graph., Vol. 33, no. 7, pp. 520-31, Oct. 2009.
    • (2009) Comput. Med. Imag. Graph , vol.33 , Issue.7 , pp. 520-531
    • Wang, L.1    Li, C.2    Sun, Q.3    Xia, D.4    Kao, C.Y.5
  • 69
    • 74749087232 scopus 로고    scopus 로고
    • Active contours with selective local or global segmentation: A new formulation and level set method
    • Apr
    • K. Zhang, L. Zhang, H. Song, and W. Zhou, "Active contours with selective local or global segmentation: A new formulation and level set method," Image Vision Comput., Vol. 28, no. 4, pp. 668-76, Apr. 2010.
    • (2010) Image Vision Comput , vol.28 , Issue.4 , pp. 668-676
    • Zhang, K.1    Zhang, L.2    Song, H.3    Zhou, W.4
  • 70
    • 77951209202 scopus 로고    scopus 로고
    • Active contours driven by local and global intensity fitting energy with application to brain mr image segmentation
    • Oct
    • L. Wang, C. Li, Q. Sun, D. Xia, and C.-Y. Kao, "Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation," Comput. Med. Imag. Graph., Vol. 33, no. 7, p. 520, Oct. 2009.
    • (2009) Comput. Med. Imag. Graph , vol.33 , Issue.7 , pp. 520
    • Wang, L.1    Li, C.2    Sun, Q.3    Xia, D.4    Kao, C.-Y.5
  • 71
    • 84900883930 scopus 로고    scopus 로고
    • Fast and globally convex multiphase active contours for brain mri segmentation
    • Aug
    • J. C. Moreno, V. B. S. Prasath, H. Proeņca, and K. Palaniappan, "Fast and globally convex multiphase active contours for brain MRI segmentation," Comput. Vision Image Understand., Vol. 125, pp. 237-50, Aug. 2014.
    • (2014) Comput. Vision Image Understand , vol.125 , pp. 237-250
    • Moreno, J.C.1    Prasath, V.B.S.2    Proeņca, H.3    Palaniappan, K.4
  • 72
    • 0032028944 scopus 로고    scopus 로고
    • Snakes, shapes, and gradient vector flow
    • Mar
    • C. Xu, and J. L. Prince, "Snakes, shapes, and gradient vector flow," Image Process., IEEE Trans., Vol. 7, no. 3, pp. 359-69, Mar. 1998.
    • (1998) Image Process. IEEE Trans , vol.7 , Issue.3 , pp. 359-369
    • Xu, C.1    Prince, J.L.2
  • 74
    • 0032690140 scopus 로고    scopus 로고
    • Active rays: Polar-transformed active contours for real-time contour tracking
    • Jun
    • J. Denzler, and H. Niemann, "Active rays: Polar-transformed active contours for real-time contour tracking," Real-Time Imag., Vol. 5, no. 3, pp. 203-13, Jun. 1999.
    • (1999) Real-Time Imag , vol.5 , Issue.3 , pp. 203-213
    • Denzler, J.1    Niemann, H.2
  • 75
  • 76
    • 0000250265 scopus 로고
    • Measures of the amount of ecologic association between species
    • Jul
    • L. R. Dice, "Measures of the amount of ecologic association between species," Ecology, Vol. 26, no. 3, pp. 297-302, Jul. 1945.
    • (1945) Ecology , vol.26 , Issue.3 , pp. 297-302
    • Dice, L.R.1
  • 77
    • 0034851632 scopus 로고    scopus 로고
    • Magnetic resonance image tissue classification using a partial volume model
    • May
    • D. W. Shattuck, S. R. Sandor-Leahy, K. A. Schaper, D. A. Rottenberg, and R. M. Leahy, "Magnetic resonance image tissue classification using a partial volume model," NeuroImage, Vol. 13, no. 5, pp. 856-76, May 2001.
    • (2001) NeuroImage , vol.13 , Issue.5 , pp. 856-876
    • Shattuck, D.W.1    Sandor-Leahy, S.R.2    Schaper, K.A.3    Rottenberg, D.A.4    Leahy, R.M.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.