Automatic Labeling of Vertebral Levels Using a Robust Template-Based Approach

International Journal of Biomedical Imaging

Volumn 2014, Issue , 2014, Pages

  Ullmann, Eugénie ^a   Pelletier Paquette, Jean François ^a   Thong, William E ^a   Cohen Adad, Julien ^a,b  

^a ÉCOLE POLYTECHNIQUE DE MONTRÉAL   (Canada)

^b UNIVERSITÉ DE MONTRÉAL   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

MEDICAL IMAGING; RADIOLOGY;

AUTOMATIC LABELING; CURRENT PROCESSING; INTENSITY PROFILES; INTERVERTEBRAL DISK; MEAN ABSOLUTE ERROR; SPINAL CORD INJURIES (SCI); TEMPLATE BASED METHODS; TEMPLATE-BASED APPROACHES;

MUSCULOSKELETAL SYSTEM;

TITANIUM;

ACCURACY; ADULT; ARTICLE; ARTIFACT; AUTOMATION; BONE SCREW; CASE REPORT; CONTROLLED STUDY; HUMAN; INTERVERTEBRAL DISK; MEASUREMENT ERROR; METAL IMPLANT; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; SPINAL CORD INJURY; VERTEBRA; WHITE MATTER;

EID: 84934972628     PISSN: 16874188     EISSN: 16874196     Source Type: Journal    
DOI: 10.1155/2014/719520     Document Type: Article

References (19)

1. J. Cohen-Adad, M.-M. El Mendili, S. Lehéricy et al., "Demyelination and degeneration in the injured human spinal cord detected with diffusion and magnetization transfer MRI", NeuroImage, vol. 55, no. 3, pp. 1024-1033, 2011.
2. C. A. Wheeler-Kingshott, P. W. Stroman, J. M. Schwab et al., "The current state-of-the-art of spinal cord imaging: applications", Neuroimage, 2013.
3. O. Ciccarelli, C. A. Wheeler-Kingshott, M. A. McLean et al., "Spinal cord spectroscopy and diffusion-based tractography to assess acute disability in multiple sclerosis", Brain, vol. 130, no. 8, pp. 2220-2231, 2007.
4. J. Cohen-Adad, B. Buchbinder, and A. L. Oaklander, "Cervical spinal cord injection of epidural corticosteroids: comprehensive longitudinal study including multiparametric magnetic resonance imaging", Pain, vol. 153, no. 11, pp. 2292-2299, 2012.
5. P. G. Lindberg, A. Feydy, and M. A. Maier, "White matter organization in cervical spinal cord relates differently to age and control of grip force in healthy subjects", Journal of Neuroscience, vol. 30, no. 11, pp. 4102-4109, 2010.
6. M. Onu, P. Gervai, J. Cohen-Adad et al., "Human cervical spinal cord funiculi: investigation with magnetic resonance diffusion tensor imaging", Journal of Magnetic Resonance Imaging, vol. 31, no. 4, pp. 829-837, 2010.
7. W. Qian, Q. Chan, H. Mak et al., "Quantitative assessment of the cervical spinal cord damage in neuromyelitis optica using diffusion tensor imaging at 3 Tesla", Journal of Magnetic Resonance Imaging, vol. 33, no. 6, pp. 1312-1320, 2011.
8. J. Xu, J. S. Shimony, E. C. Klawiter et al., "Improved in vivo diffusion tensor imaging of human cervical spinal cord", NeuroImage, vol. 67, pp. 64-76, 2013.
9. M. A. Horsfield, S. Sala, M. Neema et al., "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.
10. N. A. Losseff, S. L. Webb, J. I. O'Riordan et al., "Spinal cord atrophy and disability inmultiple sclerosis. A new reproducible and sensitive MRI method with potential to monitor disease progression", Brain, vol. 119, no. 3, pp. 701-708, 1996.
11. J. J. Corso, R. S. Alomari, and V. Chaudhary, "Lumbar disc localization and labeling with a probabilistic model on both pixel and object features", in Proceedings of the Medical Image Computing and Computer-Assisted Intervention (MICCAI'11), vol. 11, pp. 202-210, 2008.
12. Z. Peng, J. Zhong, W. Wee, and J.-H. Lee, "Automated vertebra detection and segmentation from the whole spine MR images", in Proceedings of the 27th Annual International Conference of the Engineering in Medicine and Biology Society (IEEE-EMBS'05), vol. 1-7, pp. 2527-2530, September 2005.
13. D. Štern, B. Likar, F. Pernuš, and T. Vrtovec, "Automated detection of spinal centrelines, vertebral bodies and intervertebral discs in CT and MR images of lumbar spine", Physics in Medicine and Biology, vol. 55, no. 1, pp. 247-264, 2010.
14. J. G. Sled, A. P. Zijdenbos, and A. C. Evans, "A nonparametric method for automatic correction of intensity nonuniformity in MRI data", IEEE Transactions on Medical Imaging, vol. 17, no. 1, pp. 87-97, 1998.
15. B. De Leener, S. Kadoury, and J. Cohen-Adad, "Robust, accurate and fast automatic segmentation of the spinal cord", Neuroimage, 2014.
16. P. P. Smyth, C. J. Taylor, and J. E. Adams, "Vertebral shape: automatic measurement with active shape models", Radiology, vol. 211, no. 2, pp. 571-578, 1999.
17. A. Rasoulian, R. Rohling, and P. Abolmaesumi, "Lumbar spine segmentation using a statistical multi-vertebrae anatomical shape + pose model", IEEE Transactions on Medical Imaging, vol. 32, no. 10, pp. 1890-1900, 2013.
18. J. Koh, V. Chaudhary, and G. Dhillon, "A fully automated method of associating axial slices with a disc based on labeling of multi-protocol lumbar MRI", in Proceedings of the 17th IEEE International Conference on Image Processing (ICIP'10), pp. 4341-4344, September 2010.
19. D. W. Cadotte, A. Cadotte, J. Cohen-Adad et al., "Resolving the anatomic variability of the human cervical spinal cord: a solution to facilitate advanced neural imaging", in Proceedings of the 22th Annual Meeting of ISMRM, 1719, Milan, Italy, 2014