Automated determination of spinal centerline in CT and MR images

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7259, Issue , 2009, Pages

  Štern, Darko ^a   Vrtovec, Tomaž ^a   Pernuš, Franjo ^a   Likar, Boštjan ^a  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

Author keywords

CT images; Cylindrical shape; MR images; Spinal centerline; Spinal curvature; Vertebra

Indexed keywords

ANATOMICAL PROPERTIES; AUTOMATED METHODS; CENTERLINES; COMPUTED TOMOGRAPHY; CT IMAGE; MR IMAGES; NOVEL ALGORITHM; PARAMETRIC CURVE; QUANTITATIVE MEASUREMENT; QUANTITATIVE RESULT; SPINAL CURVATURE; SPINAL DEFORMITY; VERTEBRAL BODY;

ALGORITHMS; COMPUTERIZED TOMOGRAPHY; EDGE DETECTION; GRAPH THEORY; IMAGE PROCESSING; IMAGING SYSTEMS; MEDICAL IMAGING; RESONANCE; TOMOGRAPHY;

THREE DIMENSIONAL;

EID: 71649101446     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.811150     Document Type: Conference Paper

References (17)

1. I. A. F. Stokes, "Three-dimensional terminology of spinal deformity. A report presented to the Scoliosis Research Society by the Scoliosis Research Society Working Group on 3-D terminology of spinal deformity", Spine, 19(2), 236-248 (1994).
2. J. Cobb, "Outline for the study of scoliosis", AAOS. Instructional Course Lectures, 5, 261-275 (1948).
3. D. E. Harrison, D. D. Harrison, R. Cailliet, S. J. Troyanovich, T. J. Janik and B. Holland, "Cobb method or Harrison posterior tangent method: Which to choose for lateral cervical radiographic analysis", Spine, 25(16), 2072-2078 (2000).
4. D. E. Harrison, T. J. Janik, D. D. Harrison, R. Cailliet and S. F. Harmon, "Can the thoracic kyphosis be modeled with a simple geometric shape? The results of circular and elliptical modeling in 80 asymptomatic patients", J. Spinal Disord. Tech., 15(3), 213-220 (2002).
5. S. Goh, R. I. Price, P. J. Leedman and K. P. Singer, "A comparison of three methods for measuring thoracic kyphosis: implications for clinical studies", Rheumatology, 39(3), 310-315 (2000).
6. P. Poncet, J. Dansereau and H. Labelle, "Geometric torsion in idiopathic scoliosis - Three dimensional analysis and proposal for a new classification", Spine, 26(20), 2235-2243 (2001).
7. F. M. Pinel-Giroux, J. M. Mac-Thiong, J. A. de Guise, E. Berthonnaud and H. Labelle, "Computerized assessment of sagittal curvatures of the spine - Comparison between Cobb and tangent circles techniques", J. Spinal Disord. Tech., 19(7), 507-512 (2006).
8. Peng Z., Zhong J., Wee W. and Lee JH., "Automated vertebra detection and segmentation from the whole spine MR images", 27th Annual International Conference of the Engineering in Medicine and Biology Society IEEE-EMBS '05, 2527-2530 (2005).
9. Jianhua Yao, Stacy D. O'Connor and R. M. Summers, "Automated spinal column extraction and partitioning", 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006., 390-393 (2006).
10. L. G. Nyul, J. Kanyo, E. Mate, G. Makay, E. Balogh, M. Fidrich and A. Kuba, "Method for automatically segmenting the spinal cord and canal from 3D CT images", Proc. Computer Analysis of Images and Patterns Conference, 3691, 456-463 (2005).
11. N. Archip, P. J. Erard, M. Egmont-Petersen, J. M. Haefliger and J. F. Germond, "A knowledge-based approach to automatic detection of the spinal cord in CT images", IEEE Trans. Med. Imaging, 21(12), 1504-1516 (2002).
12. R. M. Rangayyan, H. J. Deglint and G. S. Boag, "Method for the automatic detection and segmentation of the spinal canal in computed tomographic images", Proc. JEI Conference, 15, (2006).
13. T. Vrtovec, B. Likar and F. Pernuš, "Quantitative analysis of spinal curvature in 3D: application to CT images of normal spine", Phys. Med. Biol., 53(7), 1895-1908 (2008).
14. Y. Masharawi, K. Salame, Y. Mirovsky, S. Peleg, G. Dar, N. Stemberg and I. Hershkovitz, "Vertebral body shape variation in the thoracic and lumbar spine: Characterization of its asymmetry and wedging", Clin. Anat., 21(1), 46-54 (2008).
15. T. Vrtovec, B. Likar and F. Pernuš, "Automated curved planar reformation of 3D spine images", Phys. Med. Biol., 50(19), 4527-4540 (2005).
16. T. Vrtovec, S. Ourselin, L. Gomes, B. Likar and F. Pernuš, "Automated generation of curved planar reformations from MR images of the spine", Phys. Med. Biol., 52(10), 2865-2878 (2007).
17. M. A. Fischler and R. C. Bolles, "Random sample consensus - a paradigm for model-fitting with applications to image-analysis and automated cartography", Commun. ACM, 24(6), 381-395 (1981).