An MRI derived articular cartilage visualization framework

Osteoarthritis and Cartilage

Volumn 15, Issue 9, 2007, Pages 1070-1085

  Akhtar, S ^a   Poh, C L ^a   Kitney, R I ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Cartilage lesions; Cartilage thickness; MRI; Non invasive; Osteoarthritis; Surface morphology; Visualization

Indexed keywords

ADULT; AGED; ARTICLE; ARTICULAR CARTILAGE; CLINICAL ARTICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; DISEASE SEVERITY; FEMALE; FOLLOW UP; HUMAN; IMAGE ANALYSIS; IMAGE DISPLAY; IMAGE PROCESSING; KNEE OSTEOARTHRITIS; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; QUALITATIVE DIAGNOSIS; REPRODUCIBILITY; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

ALGORITHMS; CARTILAGE, ARTICULAR; COLOR; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MIDDLE AGED; OSTEOARTHRITIS; REPRODUCIBILITY OF RESULTS; SURFACE PROPERTIES;

EID: 34548593201     PISSN: 10634584     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.joca.2007.03.009     Document Type: Article

References (19)

1. Andriacchi T.P., Lang P.L., Alexander E.L., and Debra E.H. Methods for evaluating the progression of osteoarthritis. J Rehabil Res Dev 37 (2000) 163-170
2. Brandt K.D., and Slemenda C.W. Osteoarthritis: epidemiology, pathology and pathogenesis. In: Schumacher H.R. (Ed). Primer on the Rheumatic Diseases. 10th edn. (1993), Arthritis Foundation 184-188
3. Raynauld J.P. Quantitative magnetic resonance imaging of articular cartilage in knee osteoarthritis. Curr Opin Rheumatol 15 (2003) 647-650
4. Recht M.P., Piraino D.W., Paletta G.A., Schils J.P., and Belhobek G.H. Accuracy of fat-suppressed three-dimensional spoiled gradient-echo FLASH MR imaging in the detection of patello-femoral articular cartilage abnormalities. Radiology 198 (1996) 209-212
5. Kauffmann C., Gravel P., Godbout B., Gravel A., Beaudoin G., Raynauld J.P., et al. Computer-aided method for the quantification of cartilage thickness and volume changes using MRI: validation study using a synthetic model. IEEE Trans Biomed Eng 50 (2003) 978-988
6. Martel-Pelletier J. Pathophysiology of osteoarthritis. Osteoarthritis Cartilage 12 (2004) S31-S33
7. Yoshioka H., Stevens K., Hargreaves B.A., Steines D., Genovese M., Dillingham M.F., et al. Magnetic resonance imaging of articular cartilage of the knee: comparison between fat-suppressed three dimensional spgr imaging, fat-suppressed FSE imaging, fat-suppressed three dimensional DEFT imaging, and correlation with arthroscopy. J Magn Reson Imaging 20 (2004) 856-864
8. Imhof H., No{combining double acute accent}bauer-Huhmann I., Krestan C., Gahleitner A., Sulzbacher I., Marlovits S., et al. Musculoskeletal - MRI of cartilage. Eur Radiol 12 (2002) 2781-2793
9. Disler D.G., McCauley T.R., Kelman C.G., Fuchs M.D., Ratner L.M., Wirth C.R., et al. Fat-suppressed three-dimensional spoiled gradient - echo MR imaging of hyaline cartilage defects in the knee: comparison with standard MR imaging and arthroscopy. AJR Am J Roentgenol 167 (1996) 127-132
10. Mlejnek M., Vilanova A., and Gro{combining double acute accent}ller M.E. Interactive thickness visualization of articular cartilage. Proc Visualiz (2004) 521-527
11. Heuer F, Sommers M, Reid JB, Bottlang M. Estimation of cartilage thickness from joint surface scans: comparative analysis of computational methods. BED (50). Bioengineering Conference - ASME, 2001.
12. Cashman P.M.M., Kitney R.I., Gariba M.A., and Carter M.E. Automated techniques for visualization and mapping of articular cartilage in MR images of the osteoarthritic knee: a base technique for the assessment of microdamage and submicro damage. IEEE Trans Nano Biosci 1 (2002) 42-51
13. Losch A., Eckstein F., Haubner M., and Englmeier E.H. A non invasive technique for 3-dimensional assessment of articular cartilage thickness based on MRI. Part 1: development of a computational method. Magn Reson Imaging 15 (1997) 795-804
14. Poh CL, Kitney RI. Viewing interfaces for segmentation and measurement results. Proceeding of IEEE Eng Med Biol 27th Annual Conf, Shanghai, China, 2005, 5132-5.
15. Duryea J., Neumann G., Brem M.H., Koh W., Noorbakhsh F., Jackson R.D., et al. Novel fast semi-automated software to segment cartilage for knee MR acquisitions. Osteoarthritis Cartilage 15 (2006) 487-492
16. Cohen Z.A., Mow V.C., Henry J.H., Levine W.N., and Ateshian G.A. Templates of the cartilage layers of the patello-femoral joint and their use in the assessment of osteoarthritic cartilage damage. Osteoarthritis Cartilage 11 (2003) 569-579
17. Warfield SK, Zou KH, Wells MW. Validation of image segmentation and expert quality with an expectation-maximization algorithm. Appearance in MICCAI 2002: fifth international conference on medical image computing and computer assisted intervention, 2002: 298-306.
18. Hinrichs E, Lovell BC, Appleton B, Galloway GJ. Autonomous direct 3D segmentation of articular knee cartilage. ANZIIS2003, December 10-12, Sydney, 2003: 417-20.
19. Cohen Z.A., McCarthy D.M., Kwak S.D., Perrine L., Fogarasi F., Ciacco E.J., et al. Knee cartilage topography, thickness and contact areas from MRI: in-vitro calibration and in-vivo measurements. Osteoarthritis Cartilage 7 (1999) 95-109