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Volumn 11, Issue 4, 2007, Pages 325-335

MR image segmentation of the knee bone using phase information

Author keywords

Bone segmentation; MRI; Phase analysis; SVM

Indexed keywords

BIOMEDICAL ENGINEERING; FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; PIXELS; TISSUE; TISSUE ENGINEERING;

EID: 34250853580     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2007.03.003     Document Type: Article
Times cited : (36)

References (32)
  • 1
    • 33744817929 scopus 로고    scopus 로고
    • The use of unwrapped phase in MR image segmentation: a preliminary study
    • MICCAI'05, Springer Verlag, Palm Springs, CA
    • Bourgeat P., Fripp J., Janke A., Galloway G., Crozier S., and Ourselin S. The use of unwrapped phase in MR image segmentation: a preliminary study. MICCAI'05. LNCS vol. 3750 (2005), Springer Verlag, Palm Springs, CA 813-820
    • (2005) LNCS , vol.3750 , pp. 813-820
    • Bourgeat, P.1    Fripp, J.2    Janke, A.3    Galloway, G.4    Crozier, S.5    Ourselin, S.6
  • 3
    • 33750952886 scopus 로고    scopus 로고
    • Bourgeat, P., Stanwell, P., Ramadan, S., Ourselin, S., 2006. Texture-based segmentation of the knee bones in MRI using phase information. In: ISBI'06. Arlington, VA, pp. 742-745.
  • 6
    • 34250825578 scopus 로고    scopus 로고
    • Chang, C.-C., Lin, C.-J., 2001. LIBSVM: a library for support vector machines. Software available at .
  • 7
    • 0036668838 scopus 로고    scopus 로고
    • Understanding phase maps in MRI: a new cutline phase unwrapping method
    • Chavez S., Xiang Q., and An L. Understanding phase maps in MRI: a new cutline phase unwrapping method. IEEE Transactions on Medical Imaging 21 8 (2002) 966-977
    • (2002) IEEE Transactions on Medical Imaging , vol.21 , Issue.8 , pp. 966-977
    • Chavez, S.1    Xiang, Q.2    An, L.3
  • 8
    • 0035443990 scopus 로고    scopus 로고
    • Multiscale image segmentation using wavelet-domain hidden Markov models
    • Choi H., and Baraniuk R.G. Multiscale image segmentation using wavelet-domain hidden Markov models. IEEE Transactions on Image Processing 10 9 (2001) 1309-1321
    • (2001) IEEE Transactions on Image Processing , vol.10 , Issue.9 , pp. 1309-1321
    • Choi, H.1    Baraniuk, R.G.2
  • 13
    • 31744439814 scopus 로고    scopus 로고
    • The role of voxel aspect ratio in determining apparent vascular phase behavior in susceptibility weighted imaging
    • Haacke E., and Xu Y. The role of voxel aspect ratio in determining apparent vascular phase behavior in susceptibility weighted imaging. Magnetic Resonance in Medicine 24 2 (2006) 155-160
    • (2006) Magnetic Resonance in Medicine , vol.24 , Issue.2 , pp. 155-160
    • Haacke, E.1    Xu, Y.2
  • 15
    • 0037225733 scopus 로고    scopus 로고
    • Fast, automated, N-dimensional phase-unwrapping algorithm
    • Jenkinson M. Fast, automated, N-dimensional phase-unwrapping algorithm. Magnetic Resonance in Medicine 49 1 (2003) 193-197
    • (2003) Magnetic Resonance in Medicine , vol.49 , Issue.1 , pp. 193-197
    • Jenkinson, M.1
  • 16
    • 30144436036 scopus 로고    scopus 로고
    • Adaptive scale fixing for multiscale texture segmentation
    • Liang K.-H., and Tjahjadi T. Adaptive scale fixing for multiscale texture segmentation. IEEE Transactions on Image Processing 15 1 (2006) 249-256
    • (2006) IEEE Transactions on Image Processing , vol.15 , Issue.1 , pp. 249-256
    • Liang, K.-H.1    Tjahjadi, T.2
  • 17
    • 84947802540 scopus 로고    scopus 로고
    • Segmentation of bone in clinical knee MRI using texture-based geodesic active contours
    • LNCS, Cambridge, MA
    • Lorigo L., Faugeras O., Grimson W., Keriven R., and Kikinis R. Segmentation of bone in clinical knee MRI using texture-based geodesic active contours. MICCAI'98 vol. 1496 (1998), LNCS, Cambridge, MA 1195-1204
    • (1998) MICCAI'98 , vol.1496 , pp. 1195-1204
    • Lorigo, L.1    Faugeras, O.2    Grimson, W.3    Keriven, R.4    Kikinis, R.5
  • 19
    • 27644459948 scopus 로고    scopus 로고
    • Texture analysis for tissue discrimination on T1-weighted MR images of the knee joint in a multicenter study: Transferability of texture features and comparison of feature selection methods and classifiers
    • Mayerhoefer M., Breitenseher M., Kramer J., Aigner N., Hofmann S., and Materka A. Texture analysis for tissue discrimination on T1-weighted MR images of the knee joint in a multicenter study: Transferability of texture features and comparison of feature selection methods and classifiers. Journal of Magnetic Resonance Imaging 22 5 (2005) 674-680
    • (2005) Journal of Magnetic Resonance Imaging , vol.22 , Issue.5 , pp. 674-680
    • Mayerhoefer, M.1    Breitenseher, M.2    Kramer, J.3    Aigner, N.4    Hofmann, S.5    Materka, A.6
  • 20
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic outputs for support vector machines and comparison to regularized likelihood methods
    • Smola A., Bartlett P., Schoelkopf B., and Schuurmans D. (Eds), MIT Press, Cambridge, MA
    • Platt J. Probabilistic outputs for support vector machines and comparison to regularized likelihood methods. In: Smola A., Bartlett P., Schoelkopf B., and Schuurmans D. (Eds). Advances in Large Margin Classifiers (2000), MIT Press, Cambridge, MA 61-74
    • (2000) Advances in Large Margin Classifiers , pp. 61-74
    • Platt, J.1
  • 22
    • 33646710829 scopus 로고    scopus 로고
    • A learning framework for the automatic and accurate segmentation of cardiac tagged MRI images
    • LNCS, Springer, Beijing, China
    • Qian Z., Metaxas D., and Axel L. A learning framework for the automatic and accurate segmentation of cardiac tagged MRI images. Computer Vision for Biomedical Image Applications, an ICCV Workshop vol. 3765 (2005), LNCS, Springer, Beijing, China 93-102
    • (2005) Computer Vision for Biomedical Image Applications, an ICCV Workshop , vol.3765 , pp. 93-102
    • Qian, Z.1    Metaxas, D.2    Axel, L.3
  • 23
    • 21144435626 scopus 로고    scopus 로고
    • Volumetric texture description and discriminant feature selection for MRI
    • Springer, Ambleside, UK
    • Reyes-Aldasoro C.-C., and Bhalerao A. Volumetric texture description and discriminant feature selection for MRI. IPMI'03 vol. 18 (2003), Springer, Ambleside, UK 282-293
    • (2003) IPMI'03 , vol.18 , pp. 282-293
    • Reyes-Aldasoro, C.-C.1    Bhalerao, A.2
  • 24
    • 0030013529 scopus 로고    scopus 로고
    • The role of magnetic susceptibility in magnetic resonance imaging: MRI magnetic compatibility of the first and second kinds
    • Schenck J. The role of magnetic susceptibility in magnetic resonance imaging: MRI magnetic compatibility of the first and second kinds. Medical Physics 23 6 (1996) 815-850
    • (1996) Medical Physics , vol.23 , Issue.6 , pp. 815-850
    • Schenck, J.1
  • 27
    • 28744449143 scopus 로고    scopus 로고
    • Segmentation of anatomical structures in chest radiographs using supervised methods: A comparative study on a public database
    • van Ginneken B., Stegmann M., and Loog M. Segmentation of anatomical structures in chest radiographs using supervised methods: A comparative study on a public database. Medical Image Analysis 10 1 (2006) 19-40
    • (2006) Medical Image Analysis , vol.10 , Issue.1 , pp. 19-40
    • van Ginneken, B.1    Stegmann, M.2    Loog, M.3
  • 30
    • 11844302259 scopus 로고    scopus 로고
    • Segmentation of kidney from ultrasound images based on texture and shape priors
    • Xie J., Jiang Y., and Hung-tat T. Segmentation of kidney from ultrasound images based on texture and shape priors. IEEE Transactions on Medical Imaging 24 1 (2005) 45-57
    • (2005) IEEE Transactions on Medical Imaging , vol.24 , Issue.1 , pp. 45-57
    • Xie, J.1    Jiang, Y.2    Hung-tat, T.3
  • 31
    • 0344823746 scopus 로고    scopus 로고
    • Automated segmentation of 3D US prostate images using statistical texture-based matching method
    • MICCAI'03, Springer Verlag, Montreal, Canada
    • Zhan Y., and Shen D. Automated segmentation of 3D US prostate images using statistical texture-based matching method. MICCAI'03. LNCS vol. 2878 (2003), Springer Verlag, Montreal, Canada 688-696
    • (2003) LNCS , vol.2878 , pp. 688-696
    • Zhan, Y.1    Shen, D.2
  • 32
    • 29144533471 scopus 로고    scopus 로고
    • An adaptive error penalization method for training an efficient and generalized SVM
    • Zhan Y., and Shen D. An adaptive error penalization method for training an efficient and generalized SVM. Pattern Recognition 39 3 (2006) 342-350
    • (2006) Pattern Recognition , vol.39 , Issue.3 , pp. 342-350
    • Zhan, Y.1    Shen, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.