Automated image processing and analysis of cartilage MRI: Enabling technology for data mining applied to osteoarthritis

AIP Conference Proceedings

Volumn 953, Issue , 2007, Pages 262-276

  Tameem, Hussain Z ^a   Sinha, Usha S ^a,b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b SAN DIEGO STATE UNIVERSITY   (United States)

Author keywords

Atlas; Cartilage; Data mining; Osteoarthritis

Indexed keywords

EID: 71449126297     PISSN: 0094243X     EISSN: 15517616     Source Type: Conference Proceeding    
DOI: 10.1063/1.2817349     Document Type: Conference Paper

References (25)

1. D. Dunlop, L. M. Manheim, E. H. Yelin, J. Song and R. W. Chang, "The cost of arthritis," in Arthritis & Rheumatism, 2003, pp. 101-113.
2. E. Bagge, A. Bjelle, H. A. Valkenburg and A. Svanborg, "Prevelance of radiographic osteoarthritis in two elderly European populations," in Rheumatology International, 1992, pp. 33-38.
3. M. Urwin, D. P. M. Symmons, T. Allison, T. Brammah, H. Busby, M. Roxby, A. Simmons and G. Williams, "Estimating the burden of musculoskeletal disorders in the community: the comparative prevalence of symptoms at different anatomical sites and the relation to social deprivation," in Annals of Rheumatic Diseases, 1998, pp. 649-655.
4. G. Peat, R. McCarney and P. Croft, "Knee pain and osteoarthritis in the older adults: a review of community burden and current use of primary health care," in Annals of Rheumatic Diseases, 2001, pp. 91-97.
5. F. Eckstein, M. Reiser, K. H. Englmeier and R. Putz, "In vivo morphometry and functional analysis of human articular cartilage with quantitative magnetic resonance imaging - from image to data, from data to theory," in Anatomy & Embryology, 2001, pp. 147-173.
6. F. Cicuttini, A. Forbes, K. Morris, S. Darling, M. Bailey and S. Stuckey, "Gender differences in knee cartilage volume as measured by magnetic resonance imaging," in Osteoarthritis and Cartilage, 1999, pp. 265-271.
7. G. Jones, M. Glisson, K. Hynes and F. Cicuttini, "Sex and site difference in cartilage development: a possible explanation for variations in knee osteoarthritis in later life," in Arthritis and Rheumatism, 2000, pp. 2543-9.
8. M. Piplani, D. Disler, T. R. McCauley, T. J. Holmes and J. P. Cousins, "Articular cartilage volume in the knee: semi-automated determination from the three-dimensional reformations of MR images," in Radiology, 1996, pp. 855-9.
9. S. Ghosh, M. Ries, N. Lane, C. Ghajar and S. Majumdar, "Segmentation of the high resolution articular cartilage MR images," in Transaction of Orthopedic Research Society, 2000, pp. 246.
10. Z. Cohen, D. McCarthy, S. Kwak, P. Legrand, F. Fogarasi, E. Ciaccio and G. Ateshian, "Knee cartilage topography, thickness, and contact areas from MRIL in-vitro calibration and in-vivo measurements," in Osteoarthritis and Cartilage, 1999, pp. 95-109.
11. A. Kshirsagar, P.Watson, J. Tyler and L. Hall, "Measurement of localized cartilage volume and thickness of human knee joints by computer analysis of three-dimensional magnetic resonance images", in Investigative Radiology, 1998, pp. 289-99.
12. N. Lavrac, "Machine Learning for Data Mining in Medicine," in Artificial Intelligence in Medicine, edited by W. Horn, Berlin/Heidelberg: Springer, 2004, pp. 47.
13. K. J. Cios and G. W. Moore, "Uniqueness of Medical Data Mining", in Artificial Intelligence in Medicine, 2002, pp. 1-24.
14. F. Eckstein, F. Cicuttini, J. P Raynauld, J. C. Waterton and C. Peterfly, "Magnetic Resonance Imaging of articular cartilage in knee osteoarthritis (OA): morphological assessment", in Osteoarthritis and Cartilage, 2006, pp. A46-A75.
15. R. Burgkart, C. Glaser, A. Hyhlik-Dürr, K. Englmeier, M. Reiser and F. Eckstein, "Magnetic Resonance Imaging-Based Assessment of Cartilage Loss in Sever Osteoarthritis," in Arthritis and Rheumatism, 2001, pp. 2072-2077.
16. T. Mosher and B. Dardzinski, "Cartilage MRI T2 Relaxation Time Mapping: Overview and Applications," in Seminars in musculoskeletal radiology, 2004, pp. 355-368.
17. B. Dardzinski, T, Mosher, S. Li, M. Van Slyke and M. Smith, "Spatial variation of T2 in human articular cartilage," in Radiology, 1999, pp. 546-550.
18. C. Peterfly, C. Van Dijke, D. Janzen, C. Gluer, R. Namba, S. Majumdar, P. Lang and H. Genant, "Quantification of articular cartilage in the knee with pulsed saturation transfer subtraction and fat-suppressed MR imaging: optimization and validation," in Radiology, 1994, pp. 485-491.
19. F. Eckstein, M. Schneir, M. Haubner, J. Priebsch, C. Glaser, K. Englmeier and R. Maximilan, "Accuracy of Cartilage Volume and Thickness Measurements With Magnetic Resonance Imaging," in Clinical Orthopedics and Related Research, 1998, pp. 137-148.
20. J. Lynch, S. Zaim, J. Zhao, A. Stork, C. Peterfly and H. Genant, "Cartilage segmentation of 3D MRI scans of the osteoarthritic knee combining user knowledge and active contours," in Proceedings of SPIE. International Society for Optical Engineering, 2000, pp. 925-935.
21. C. Kauffman, P. Gravel, B. Godbout, A. Gravel, G. Beaudoin, J. Raynauld, J. Martel-Pelletier, J. Pelleteir and J. de Guise, "Computer aided method for quantification of cartilage thickness and volume changes using MRI: validation study using synthetic model," in IEEE transactions on Biomedical Engineering, 2003, pp. 978-988.
22. T. Dunn, Y. Lu, H. Jin, M. Ries and S. Majumdar, "T2 relaxation time of the cartilage at MR imaging: Comparison with severity of knee osteoarthritis," in Musculoskeletal Imaging, 2004, pp. 592-598.
23. R. Burgkart, C. Glaser, S. Hinterwimmer, M. Hudelmaier, K. Englmeir, M. Reiser and F. Eckstein, "Feasibility of T and Z score from magnetic resonance imaging data for quantification of cartilage loss on osteoarthritis," in Arthritis and Rheumatism, 2003, pp. 2829-2835.
24. T. Chan and L. Vese, "Active contours without edges," in IEEE Trans on Image Processing, 2001, pp. 266-278
25. J. Thirion, "Image matching as a diffusion process: an analogy with Maxwell's demons," in Medical Image Analysis, 1998, pp. 243-260.