Automatic segmentation of the articular cartilage in knee MRI using a hierarchical multi-class classification scheme

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3749 LNCS, Issue , 2005, Pages 327-334

  Folkesson, Jenny ^a   Dam, Erik ^a,b   Olsen, Ole Fogh ^a   Pettersen, Paola ^b   Christiansen, Claus ^b  

^a IT UNIVERSITY OF COPENHAGEN   (Denmark)

^b CENTER FOR CLINICAL AND BASIC RESEARCH   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFIERS; IMAGE SEGMENTATION; JOINTS (ANATOMY); MAGNETIC RESONANCE IMAGING;

BINARY CLASSIFIERS; OSTEOARTHRITIS; VOXELS;

CARTILAGE;

ALGORITHM; ARTICLE; ARTICULAR CARTILAGE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLINICAL TRIAL; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; HUMAN; IMAGE ENHANCEMENT; KNEE OSTEOARTHRITIS; METHODOLOGY; OBSERVER VARIATION; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CARTILAGE, ARTICULAR; CLUSTER ANALYSIS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; OBSERVER VARIATION; OSTEOARTHRITIS, KNEE; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 33744813561     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11566465_41     Document Type: Conference Paper

References (19)

1. J.Wyngaarden, H.Smith, L., Bennett, J.: Cecil Textbook of Medicine. 19 edn. Volume 2. W. B. Saunders (1992)
2. Creamer, P., Hochberg, M.C.: Osteoarthritis. Lancet 350 (1997) 503-509
3. Muensterer, O., Eckstein, F., Hahn, D., Putz, R.: Computer-aided three dimensional assessment of knee-joint cartilage with magnetic resonance imaging. Clinical Biomechanics 11 (1996) 260-266
4. Graichen, H., Eisenhart-Rothe, R.V., Vogl, T., Englmeier, K.H., Eckstein, F.: Quantitative assessment of cartilage status in osteoarthritis by quantitative magnetic resonance imaging. Arthritis and Rheumatism 50 (2004) 811-816
5. Loeuille, D., Olivier, P., Mainard, D., Gillet, P., Netter, P., Blum, A.: Magnetic resonance imaging of normal and osteoarthritic cartilage. Arthritis and Rheumatism 41 (1998) 963-975
6. Grau, V., Mewes, A., Alcaiz, M., Kikinis, R., Warfield, S.: Improved watershed transform for medical image segmentation using prior information. IEEE Transactions on Medical Imaging 23 (2004)
7. Pakin, S.K., Tamez-Pena, J.G., Totterman, S., J.Parker, K.: Segmentation, surface extraction and thickness computation of articular cartilage. Volume 4684., SPIE (2002) 155-166
8. Warfield, S.K., Kaus, M., Jolesz, F.A., Kikinis, R.: Adaptive, template moderated, spatially varying statistical classification. Medical Image Analysis (2000) 43-55
9. Warfield, S.K., Winalski, C., Jolesz, F.A., Kikinis, R.: Automatic segmentation of mri of the knee. SPL Technical Report 91, ISMRM Sixth Scientific Meeting and Exhibition, Sydney, Australia (1998)
10. Naish, J.H., Vincent, G., Bowes, M., Kothari, M., White, D., Waterton, J.C., J.Taylor, C.: A method to monitor local changes in mr signal intensity in articular cartilage: A potential marker for cartilage degeneration in osteoarthritis. Volume 3217., MICCAI (2004) 959-966
11. Folkesson, J., Dam, E., Pettersen, P., Olsen, O.F., Nielsen, M., Christiansen, C.: Locating articular cartilage in mr images. Volume 5747., SPIE (2005) 1484-1490
12. Ejbjerg, B., Narvestad, E., adn H.S. Thomsen, S.J., Ostergaard, M.: Optimised, low cost, low field dedicated extremity mri is highly specific and sensitive for synovitis and bone erosions in rheumatoid arthritis wrist and finger joints: a comparison with conventional high-field mri and radiography. Annals of the Rheumatic Diseases 13 (2005)
13. Kellgren, J., Lawrence, J.: Radiological assessment of osteo-arthrosis. Annals of the Rheumatic Diseases 16 (1957)
14. Arya, S., Mount, D., Netanyahu, N., Silverman, R., Wu, A.: An optimal algorithm for approximate nearest neighbor searching in fixed dimensions. Number 5, ACM-SIAM. Discrete Algorithms (1994) 573-582
15. Dunn, T., Lu, Y., Jin, H., Ries, M., Majumdar, S.: T2 relaxation time of cartilage at mr imaging: comparison with severity of knee osteoarthritis. Radiology 232 (2004) 592-598
16. Kamibayashi, L., Wyss, U., Cooke, T., Zee, B.: Changes in mean trabecular orientation in the medial condyle of the proximal tibia in osteoarthritis. Calcif Tissue Int. 57 (1995) 69-73
17. Folkesson, J., Dam, E., Olsen, O.F., Pettersen, P., Christiansen, C.: A supervised learning approach to segmenting articular tibial cartilage in knee mri. Technical report, IT University of Copenhagen, Rued Langgaards Vej 7, 2300 Copenhagen S, Denmark (2005)
18. Florack, L.: The Syntactical Structure of Scalar Images. PhD thesis, University of Utrecht (1993)
19. Weickert, J.: Anisotropic Diffusion in Image Processing. B. G. Teubner (1998)