Spinal cord segmentation for volume estimation in healthy and multiple sclerosis subjects using crawlers and minimal paths

Proceedings - 2011 1st IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology, HISB 2011

Volumn , Issue , 2011, Pages 25-31

  McIntosh, Chris ^a   Hamarneh, Ghassan ^a   Toom, Matthew ^a,b   Tam, Roger C ^b  

^a SIMON FRASER UNIVERSITY   (Canada)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

medical image analysis; segmentation; spinal cord analysis

Indexed keywords

ANALYSIS METHOD; ARTIFICIAL LIFE; CLINICAL SETTINGS; CLINICAL USE; CONTRAST CHANGES; CONTROL MECHANISM; DEFORMABLE MESH; DEFORMABLE MODELS; LARGE REGIONS; LOCAL OPTIMALITY; MEDICAL IMAGE ANALYSIS; MINIMAL PATH; MULTIPLE SCLEROSIS; NEUROLOGICAL DISEASE; OPTIMAL FILTERING; OPTIMAL PATHS; PATHOLOGICAL DATA; SEGMENTATION METHODS; SPINAL CORDS; VOLUME ESTIMATIONS;

DEFORMATION; DOSIMETRY; HEALTH CARE; IMAGE ANALYSIS; IMAGE SEGMENTATION; INFORMATION SCIENCE; MEDICAL IMAGING; OPTIMIZATION;

RADIOLOGY;

EID: 81355136223     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HISB.2011.42     Document Type: Conference Paper

References (21)

1. R. Zivadinov and R. Bakshi, "Central nervous system atrophy and clinical status in multiple sclerosis," Journal of Neuroimaging, vol. 14(3 Suppl), pp. 27S-35S, 2004.
2. R. Mann, C. Constantinescu, and C. Tench, "Upper cervical spinal cord cross-sectional area in relapsing remitting multiple sclerosis: application of a new technique for measuring crosssectional area on magnetic resonance images," Journal of Magnetic Resonance Imaging, vol. 26(1), pp. 61-65, 2007.
3. F. Song, Y. Huan, H. Yin, Y. Ge, G. Wei, and et al., "Normalized upper cervical spinal cord atrophy in multiple sclerosis," J Neuroimaging, vol. 18, pp. 320-327, 2008.
4. R. Rudick, "Impact of disease-modifying therapies on brain and spinal cord atrophy in multiple sclerosis," Journal of Neuroimaging, vol. 14(3 Suppl), pp. 54S-64S, 2004.
5. D. Miller, D. Soon, K. Fernando, D. MacManus, G. Barker, T. Yousry, and et al., "Mri outcomes in a placebo-controlled trial of natalizumab in relapsing ms," Neurology, vol. 68, pp. 1390-1401, 2007.
6. N. Losseff, S. Webb, J. O'Riordan, R. Page, and et al., "Spinal cord atrophy and disability in multiple sclerosis. a new reproducible and sensitive mri method with potential to monitor disease progression," Brain, vol. 119(Pt 3), pp. 701-708, 1996.
7. C. Tench, P. Morgan, and C. Constantinescu, "Measurement of cervical spinal cord cross-sectional area by mri using edge detection and partial volume correction," J Magn Reson Imaging, vol. 21, pp. 197-203, 2005.
8. J. Carbonell-Caballero, J. Manjn, L. Mart-Bonmat, J. Olalla, B. Casanova, M. de la Iglesia-Vay, and et al., "Accurate quantification methods to evaluate cervical cord atrophy in multiple sclerosis patients," MAGMA, vol. 19, pp. 237-246, 2006.
9. C. Gilmore, G. DeLuca, L. B, T. Owens, and et al., "Spinal cord atrophy in multiple sclerosis caused by white matter volume loss," Arch Neurol., vol. 62, pp. 1859-1862, 2005.
10. S. Hickman, O. Coulon, G. Parker, G. Barker, and et al., "Application of a b-spline active surface technique to the measurement of cervical cord volume in multiple sclerosis from three-dimensional mr images," J Magn Reson Imaging, vol. 18, pp. 368-371, 2003.
11. C. McIntosh and G. Hamarneh, "Spinal crawlers: deformable organisms for spinal cord segmentation and analysis," Medical Image Computing and Computer-Assisted Intervention - MICCAI 2006, pp. 808-815, 2006.
12. B. D. Schmit and M. K. Cole, "Quantification of morphological changes in the spinal cord in chronic human spinal cord injury using magnetic resonance imaging," IEEE EMBS, vol. 26, pp. 4425-4428, 2004.
13. O. Coulon, S.J.Hickman, G. Parker, G. Barker, D. Miller, and S. Arridge1, "Quantification of spinal cord atrophy from magnetic resonance images via a b-spline active surface model," Magnetic Resonance in Medicine, vol. 47, pp. 1176-1185, 2002.
14. M. A. Horsfield, S. Sala, M. Neema, M. Absinta, A. Bakshi, M. P. Sormani, M. A. Rocca, R. Bakshi, and M. Filippi, "Rapid semi-automatic segmentation of the spinal cord from magnetic resonance images: Application in multiple sclerosis,"NeuroImage, vol. 50, no. 2, pp. 446-455, 2010.
15. L. Cohen and R. Kimmel, "Global minimum for active contour models: a minimal path approach," in Computer Vision and Pattern Recognition, 1996. Proceedings CVPR '96, 1996 IEEE Computer Society Conference on, Jun. 1996, pp. 666-673.
16. O. Wink, W. J. Niessen, and M. Viergever, "Multiscale vessel tracking," IEEE Transactions on Medical Imaging, vol. 23, no. 1, pp. 130-133, 2004.
17. H. Li and A. Yezzi, "Vessels as 4-d curves: Global minimal 4-d paths to extract 3-d tubular surfaces and centerlines,"Medical Imaging, IEEE Transactions on, vol. 26, no. 9, pp. 1213-1223, 2007.
18. W. A. Barrett and E. N. Mortensen, "Interactive live-wire boundary extraction," Medical Image Analysis, vol. 1, no. 4, pp. 331-341, 1997.
19. A. F. Frangi, W. J. Niessen, K. L. Vincken, and M. A. Viergever, "Multiscale vessel enhancement filtering," Lecture Notes in Computer Science, vol. 1496, pp. 130-137, 1998.
20. M. Fitzgibbon, A. W.and Pilu and R. B. Fisher, "Direct leastsquares fitting of ellipses," IEEE PAMI, vol. 21, no. 5, pp. 476-480, May 1999.
21. D. L. D, G. Ebers, A. Traboulsee, R. Tam, D. Goodin, and A. Konieczny, "Interferon beta-1b 16-year long-term follow-up study: Mri outcomes," Multiple Sclerosis (special supplementary issue of ECTRIMS 2006 oral presentations), vol. 12, pp. S188-189, 2006.