Automatic morphometric cartilage quantification in the medial tibial plateau from MRI for osteoarthritis grading

Osteoarthritis and Cartilage

Volumn 15, Issue 7, 2007, Pages 808-818

  Dam, E B ^a,b,c   Folkesson, J ^a,d   Pettersen, P C ^b   Christiansen, C ^b  

^a IT UNIVERSITY OF COPENHAGEN   (Denmark)

^b CENTER FOR CLINICAL AND BASIC RESEARCH   (Denmark)

^c NORDIC BIOSCIENCE A S   (Denmark)

^d UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

Area; Cartilage; Curvature; Low field MRI; Quantification; Thickness; Volume

Indexed keywords

ADULT; AGED; ANTERIOR POSTERIOR AXIS; ARTICLE; ARTICULAR CARTILAGE; AUTOMATION; CLINICAL TRIAL; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DISEASE COURSE; EARLY DIAGNOSIS; FEMALE; HUMAN; JOINT CAVITY; KNEE OSTEOARTHRITIS; KNEE RADIOGRAPHY; MAJOR CLINICAL STUDY; MALE; MORPHOMETRICS; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; OPTICAL RESOLUTION; PRIORITY JOURNAL; QUANTITATIVE DIAGNOSIS; RANDOMIZED CONTROLLED TRIAL; SCORING SYSTEM; STATISTICAL SIGNIFICANCE; THREE DIMENSIONAL IMAGING; TIBIA;

ADULT; AGED; CARTILAGE, ARTICULAR; DISEASE PROGRESSION; FEMALE; HUMANS; KNEE JOINT; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; OSTEOARTHRITIS, KNEE; TIBIA;

EID: 34249991944     PISSN: 10634584     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.joca.2007.01.013     Document Type: Article

References (49)

1. Buckwalter J., Saltzman C., and Brown T. The impact of osteoarthritis - implications for research. Clin Orthop 427 (2004) S6-S15
2. Reginster J. The prevalence and burden of arthritis. Rheumatology 41 Suppl 1 (2002) 3-6
3. Karsdal M.A., Tanko L.B., Riis B.J., Sondergard B.C., Henriksen K., and Altman R.D. Calcitonin is involved in cartilage homeostasis: is calcitonin a treatment for OA?. Osteoarthritis Cartilage 14 7 (2006) 617-624
4. Mills G. Regulatory opportunities & challenges of imaging as a drug development tool (2005). http://www.fda.gov/cder/regulatory/medImaging/imagingKeyNote.ppt
5. Abadie E., Ethgen D., Avouac B., Bouvenot G., Branco J., Bruyere O., et al. Recommendations for the use of new methods to assess the efficacy of disease-modifying drugs in the treatment of osteoarthritis. Osteoarthritis Cartilage 12 4 (2004)
6. Pessis E., Drape J.L., Ravaud P., Chevrot A., and Ayral M.D.X. Assessment of progression in knee osteoarthritis: results of a 1 year study comparing arthroscopy and MRI. Osteoarthritis Cartilage 11 5 (2003) 361-369
7. Stammberger T., Eckstein F., Michaelis M., Englmeier K.H., and Reiser M. Interobserver reproducibility of quantitative cartilage measurements: comparison of B-spline snakes and manual segmentation. Magn Reson Imaging 17 7 (1999) 1033-1042
8. Grau V., Mewes A.U.J., Alcaniz M., Kikinis R., and Warfield S.K. Improved watershed transform for medical image segmentation using prior information. IEEE Trans Med Imaging 23 4 (2004) 447-458
9. Pakin SK, Tamez-Pena JG, Totterman S, Parker KJ. Segmentation, surface extraction and thickness computation of articular cartilage. In: SPIE, Medical Imaging, vol. 4684, 2002;155-66.
10. Hohe J., Ateshian G., Reiser M., Englmeier K., and Eckstein F. Surface size, curvature analysis, and assessment of knee joint incongruity with MRI in vivo. Magn Reson Med 47 3 (2002) 554-561
11. Tamez-Pena JG, Barbu-McInnis M, Totterman S. Knee cartilage extraction and bone-cartilage interface analysis from 3D MRI data sets. In: SPIE, Medical Imaging, vol. 5370, 2004;1774-84.
12. Koo S., Gold G.E., and Andriacchi T.P. Considerations in measuring cartilage thickness using MRI: factors influencing reproducibility and accuracy. Osteoarthritis Cartilage 13 9 (2005) 782-789
13. Gandy S., Dieppe P., Keen M., Maciewicz R., Watt I., and Waterton J. No loss of cartilage volume over three years in patients with knee osteoarthritis as assessed by magnetic resonance imaging. Osteoarthritis Cartilage 10 12 (2002) 929-937
14. Dunn T., Lu Y., Jin H., Ries M., and Majumdar S. T2 relaxation time of cartilage at MR imaging: comparison with severity of knee osteoarthritis. Radiology 232 2 (2004) 592-598
15. Kamibayashi L., Wyss U., Cooke T., and Zee B. Changes in mean trabecular orientation in the medial condyle of the proximal tibia in osteoarthritis. Calcif Tissue Int 57 1 (1995) 69-73
16. Cicuttini F.M., Wluka A.E., and Stuckey S.L. Tibial and femoral cartilage changes in knee osteoarthritis. Ann Rheum Dis 60 10 (2001) 977-980
17. Eckstein F., Ateshian G., Burgkart R., Burstein D., Cicuttini F., Dardzinski B., et al. Proposal for a nomenclature for MRI based measures of articular cartilage in OA. Osteoarthritis Cartilage 10 (2006) 14
18. Peterfy C., Li J., Zaim S., Duryea J., Lynch J., Miaux Y., et al. Comparison of fixed-flexion positioning with fluoroscopic semi-flexed positioning for quantifying radiographic joint-space width in the knee: test-retest reproducibility. Skeletal Radiol 32 3 (2003) 128-132
19. Duddy J., Kirwan J.R., Szebenyi B., Clarke S., Granell R., and Volkov S. A comparison of the semiflexed (MTP) view with the standing extended view (SEV) in the radiographic assessment of knee osteoarthritis in a busy routine X-ray department. Rheumatology 44 3 (2005) 349-351
20. Xia Y. The total volume and the complete thickness of articular cartilage determined by MRI. Osteoarthritis Cartilage 11 7 (2003) 473-474
21. Kellgren J.H., and Lawrence J.S. Radiological assessment of osteo-arthrosis. Ann Rheum Dis 16 4 (1957) 494-501
22. Folkesson J., Dam E.B., Olsen O.F., Pettersen P.C., and Christiansen C. Segmenting articular cartilage automatically using a voxel classification approach. IEEE Trans Med Imaging 26 (2007) 106-115
23. Folkesson J, Dam EB, Olsen OF, Pettersen PC, Christiansen C. Position normalization in automatic cartilage segmentation. In: MICCAI Joint Disease Workshop, 2006;9-16. Available at http://www.diku.dk/∼erikdam/JOINT
24. Dam EB, Folkesson J, Loog M, Pettersen PC, Christiansen C. Efficient automatic cartilage segmentation. In: MICCAI Joint Disease Workshop, 2006;88-95. Available at http://www.diku.dk/∼erikdam/JOINT
25. Joshi S., Pizer S., Fletcher P.T., Yushkevich P., Thall A., and Marron J.S. Multiscale deformable model segmentation and statistical shape analysis using medial descriptions. Trans Med Imaging 21 5 (2002) 538-550
26. Dam EB, Folkesson J, Pettersen PC, Christiansen C. Automatic cartilage thickness quantification using a statistical shape model. In: MICCAI Joint Disease Workshop, 2006;42-9. Available at http://www.diku.dk/∼erikdam/JOINT
27. Williams T., Holmes A., Maciewicz R., Waterton J., Taylor C., Creamer P., et al. Cartilage loss in osteoarthritis detected by statistical shape analysis of magnetic resonance images. Osteoarthritis Cartilage 13 Suppl A (2005)
28. Folkesson J, Dam EB, Olsen OF, Pettersen PC, Christiansen C. Automatic curvature analysis of the articular cartilage surface. In: MICCAI Joint Disease Workshop, 2006;17-24. Available at http://www.diku.dk/∼erikdam/JOINT
29. Vilalta C., Nunez M., Segur J.M., Carbonell A.D.J.A., and Macule F. Knee osteoarthritis: interpretation variability of radiological signs. Clin Rheumatol 23 6 (2004) 501-504
30. Peterfy C.G., Guermazi A., Zaim S., Tirman P.F.J., Miaux Y., White D., et al. Whole-Organ Magnetic Resonance Imaging Score (WORMS) of the knee in osteoarthritis. Osteoarthritis Cartilage 12 3 (2004)
31. Millington S., Li K., Wu X., Hurwitz S., and Sonka M. Automated simultaneous 3D segmentation of multiple cartilage surfaces using optimal graph searching on MRI images. (Abstract). Osteoarthritis Cartilage 13 Suppl A (2005) S130
32. Trinh N.H., Lester J., Fleming B.C., Tung G., and Kimia B.B. Accurate measurement of cartilage morphology using a 3D laser scanner. Proceedings of CVAMIA, Workshop at European Conference on Computer Vision (2006), Springer 37-48
33. Graichen H., Jakob J., von Eisenhart-Rothe R., Englmeier K.H., Reiser M., and Eckstein F. Validation of cartilage volume and thickness measurements in the human shoulder with quantitative magnetic resonance imaging. Osteoarthritis Cartilage 11 7 (2003) 475-482
34. Kauffmann C., Gravel P., Godbout B., Gravel A., Beaudoin G., Raynauld J., et al. Computer-aided method for quantification of cartilage thickness and volume changes from RMI: validation study using a synthetic model. IEEE Trans Biomed Eng 50 8 (2003)
35. Eckstein F., Cicuttini F., Raynauld J.P., Waterton J.C., and Peterfy C. Magnetic resonance imaging (MRI) of articular cartilage in knee osteoarthritis (OA): morphological assessment. Osteoarthritis Cartilage 14 Suppl 1 (2006) 46-75
36. Ding C., Garnero P., Cicuttini F., Scott F., Cooley H., and Jones G. Knee cartilage defects: association with early radiographic osteoarthritis, decreased cartilage volume, increased joint surface area and type II collagen breakdown. Osteoarthritis Cartilage 13 3 (2005) 198-205
37. Jones G., Ding C., Scott F., Glisson M., and Cicuttini F. Early radiographic osteoarthritis is associated with substantial changes in cartilage volume and tibial bone surface area in both males and females. Osteoarthritis Cartilage 12 2 (2004) 169-174
38. Amin S., LaValley M.P., Guermazi A., Grigoryan M., Hunter D.J., Clancy M., et al. The relationship between cartilage loss on magnetic resonance imaging and radiographic progression in men and women with knee osteoarthritis. Arthritis Rheum 10 (2005) 52
39. Terukina M., Fujioka H., Yoshiya S., Kurosaka M., Makino T., Matsui N., et al. Analysis of the thickness and curvature of articular cartilage of the femoral condyle. Arthroscopy 19 (2003)
40. Solloway S., Hutchinson C., Waterton J., and Taylor C. Quantification of articular cartilage from MR images using active shape models. European Conference on Computer Vision (1996), Springer 400-11
41. McWalter E.J., Wirthz W., Siebert M., von Eisenhart-Rothe R.M.O., Hudelmaier M., Wilson D.R., et al. Use of novel interactive input devices for segmentation of articular cartilage from magnetic resonance images. Osteoarthritis Cartilage 13 (2005) 48-53
42. Eckstein F., Hudelmaier M., Wirth W., Kiefer B., Jackson R., Yu J., et al. Double echo steady state magnetic resonance imaging of knee articular cartilage at 3 Tesla: a pilot study for the osteoarthritis initiative. Ann Rheum Dis 65 4 (2006) 433-441
43. Peterfy C.G., Gold G., Eckstein F., Cicuttini F., Dardzinski B., and Stevens R. MRI protocols for whole-organ assessment of the knee in osteoarthritis. Osteoarthritis Cartilage 14 Suppl 1 (2006) 95-111
44. Huegli R.W., Tirman P.F.J., Bonel H.M., Staedele H., Zaim S., Grigorian M., et al. Use of the modified three-point Dixon technique in obtaining T1-weighted contrast-enhanced fat-saturated images on an open magnet. Eur Radiol 14 (2004) 1781-1786
45. Dam EB, Folkesson J, Pettersen PC, Christiansen C. Semi-automatic knee cartilage segmentation. In: Proc. SPIE Medical, 2006.
46. Lynch JA, Zaim S., Zhao J, Stork A, Peterfy CG, Genant HK. Automatic measurement of subtle changes in articular cartilage from MRI of the knee by combining 3D image registration and segmentation. In: SPIE, Medical Imaging, vol. 4322, 2001;431-9.
47. Gougoutas A., Wheaton A., Borthakur A., Shapiro E., Kneeland J., and Udupa J. Cartilage volume quantification via live wire segmentation. Acad Radiol 11 12 (2004) 1389-1395
48. Naish J.H., Xanthopoulos E., Hutchinson C.E., Waterton J.C., and Taylor C.J. MR measurement of articular cartilage thickness distribution in the hip. Osteoarthritis Cartilage 14 10 (2006) 967-973
49. Raynauld J.P., Kauffmann C., Beaudoin G., Berthiaume M.J., de Guisei J.A., Bloch D.A., et al. Reliability of a quantification imaging system using magnetic resonance images to measure cartilage thickness and volume in human normal and osteoarthritic knees. Osteoarthritis Cartilage 11 (2003) 351-360