Texture analysis of bone marrow in knee MRI for classification of subjects with bone marrow lesion - Data from the Osteoarthritis Initiative

Magnetic Resonance Imaging

Volumn 31, Issue 6, 2013, Pages 930-938

  Chuah, Tong Kuan ^a   Van Reeth, Eric ^a   Sheah, Kenneth ^b   Poh, Chueh Loo ^a  

^a Nanyang Technological University   (Singapore)

^b AsiaMedic Eye Centre   (Singapore)

Author keywords

Bone marrow lesion; Classification; MRI; Texture

Indexed keywords

ADULT; AGED; ANALYTIC METHOD; AREA UNDER THE CURVE; ARTICLE; BONE MARROW DISEASE; CLINICAL ARTICLE; CLINICAL CLASSIFICATION; CONTROLLED STUDY; DIAGNOSTIC VALUE; FEASIBILITY STUDY; FEMALE; FEMUR; HUMAN; IMAGE ANALYSIS; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; OSTEOARTHRITIS; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RADIOLOGICAL PARAMETERS; RECEIVER OPERATING CHARACTERISTIC; RELIABILITY; TEXTURE ANALYSIS; WEIGHT BEARING;

AGED; ALGORITHMS; BONE MARROW DISEASES; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; KNEE JOINT; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; OSTEOARTHRITIS, KNEE; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

CUCURBITA;

EID: 84878625238     PISSN: 0730725X     EISSN: 18735894     Source Type: Journal    
DOI: 10.1016/j.mri.2013.01.014     Document Type: Article

References (33)

1. Hofmann S., Kramer J., Breitenseher M., Pietsch M., Aigner N. Bone marrow edema in the knee. Differential diagnosis and therapeutic possibilities. Knochenmarködem im kniegelenk. Differenzialdiagnostik und therapeutische möglichkeiten 2006, 35:463-477.
2. Roemer F.W., Frobell R., Hunter D.J., Crema M.D., Fischer W., Bohndorf K., Guermazi A. MRI-detected subchondral bone marrow signal alterations of the knee joint: terminology, imaging appearance, relevance and radiological differential diagnosis. Osteoarthritis and Cartilage 2009, 17:1115-1131.
3. Bassiouni H.M. Bone marrow lesions in the knee: the clinical conundrum. International Journal of Rheumatic Diseases 2010, 13:196-202.
4. Peterfy C.G. MRI of the wrist in early rheumatoid arthritis. Annals of the Rheumatic Diseases 2004, 63:473-477.
5. Mayerhoefer M.E., Breitenseher M., Hofmann S., Aigner N., Meizer R., Siedentop H., Kramer J. Computer-assisted quantitative analysis of bone marrow edema of the knee: initial experience with a new method. American Journal of Roentgenology 2004, 182:1399-1403.
6. Peterfy C.G., Guermazi A., Zaim S., Tirman P.F.J., Miaux Y., White D., Kothari M., Lu Y., Fye K., Zhao S., Genant H.K. Whole-organ magnetic resonance imaging score (WORMS) of the knee in osteoarthritis. Osteoarthritis and Cartilage 2004, 12:177-190.
7. Dijkstra A.J., Anbeek P., Auw Yang K.G., Vincken K.L., Viergever M.A., Castelein R.M., Saris D.B.F. Validation of a novel semiautomated segmentation method for MRI detection of cartilage-related bone marrow lesions. Cartilage 2010, 1:328-334.
8. Castellano G., Bonilha L., Li L.M., Cendes F. Texture analysis of medical images. Clinical Radiology 2004, 59:1061-1069.
9. Bernasconi A., Antel S.B., Collins D.L., Bernasconi N., Olivier A., Dubeau F., Pike G.B., Andermann F., Arnold D.L. Texture analysis and morphological processing of magnetic resonance imaging assist detection of focal cortical dysplasia in extra-temporal partial epilepsy. Annals of Neurology 2001, 49:770-775.
10. Mathias J.M., Tofts P.S., Losseff N.A. Texture analysis of spinal cord pathology in multiple sclerosis. Magnetic Resonance in Medicine 1999, 42:929-935.
11. Sinha S., Lucas-Quesada F.A., DeBruhl N.D., Sayre J., Farria D., Gorczyca D.P., Bassett L.W. Multifeature analysis of Gd-enhanced MR images of breast lesions. Journal of Magnetic Resonance Imaging 1997, 7:1016-1026.
12. Ji Q., Engel J., Craine E. Texture analysis for classification of cervix lesions. IEEE Transactions on Medical Imaging 2000, 19:1144-1149.
13. Link T.M., Majumdar S., Augat P., Lin J.C., Newitt D., Lu Y., Lane N.E., Genant H.K. In vivo high resolution MRI of the calcaneus: differences in trabecular structure in osteoporosis patients. Journal of Bone and Mineral Research 1998, 13:1175-1182.
14. Mueller D., Link T.M., Monetti R., Bauer J., Boehm H., Seifert-Klauss V., Rummeny E.J., Morfill G.E., Raeth C. The 3D-based scaling index algorithm: a new structure measure to analyze trabecular bone architecture in high-resolution MR images in vivo. Osteoporosis International 2006, 17:1483-1493.
15. Boehm H.F., Link T.M., Monetti R.A., Mueller D., Rummeny E.J., Newitt D., Majumdar S., Raeth C.W. Application of the minkowski functionals in 3D to high resolution MR images of trabecular bone: prediction of the biomechanical strength by non-linear topological measures. Medical imaging 2004: imaging processing, vol. 5370 I. San Diego, CA 2004, 172-180. J.M. Fitzpatrick, M. Sonka (Eds.).
16. Boehm H.F., Raeth C., Monetti R.A., Mueller D., Newitt D., Majumdar S., Rummeny E., Morfill G., Link T.M. Local 3D scaling properties for the analysis of trabecular bone extracted from high-resolution magnetic resonance imaging of human trabecular bone: comparison with bone mineral density in the prediction of biomechanical strength in vitro. Investigative Radiology 2003, 38:269-280.
17. Boehm HF, Raeth CW, Monetti R, Mueller D, Newitt D, Majumdar S, Rummeny EJ, Link TM. Application of the standard hough-transform to high resolution MRI of human trabecular bone to predict mechanical strength. In: Sonka M, Fitzpatrick JM (eds.), vol. 5032 I. San Diego, CA; 2003:470-80.
18. Link T.M., Vieth V., Langenberg R., Meier N., Lotter A., Newitt D., Majumdar S. Structure analysis of high resolution magnetic resonance imaging of the proximal femur: in vitro correlation with biomechanical strength and BMD. Calcified Tissue International 2003, 72:156-165.
19. Monetti RA, Böhm H, Müller D, Rummeny E, Link T, Räth C. Structural analysis of human proximal femur for the prediction of biomechanical strength 'in vitro'. The locally adapted scaling vector method. In: Fitzpatrick JM, Reinhardt JM (eds.), vol. 5747, I ed. San Diego, CA; 2005:231-9.
20. Raeth CW, Mueller D, Rummeny EJ, Link TM, Vogel M, Koenig H, Boehm H, Monetti R. Optimizing texture measures quantifying bone structures as well as MR-sequences at 3 tesla: an integrative statistical approach. In, vol. 6144 I. San Diego, CA; 2006.
21. Boutry N., Cortet B., Dubois P., Marchandise X., Cotten A. Trabecular bone structure of the calcaneus: preliminary in vivo MR imaging assessment in men with osteoporosis. Radiology 2003, 227:708-717.
22. Mayerhoefer M.E., Breitenseher M.J., Kramer J., Aigner N., Hofmann S., Materka A. Texture analysis for tissue discrimination on T1-weighted MR images of the knee joint in a multicenter study: transferability of texture features and comparison of feature selection methods and classifiers. Journal of Magnetic Resonance Imaging 2005, 22:674-680.
23. Rasband WS. ImageJ. In: , 1.43u ed. Bethesda, Maryland, USA: U. S. National Institutes of, Health; 1997-2008. http://rsb.info.nih.gov/ij/.
24. Tustison N.J., Avants B.B., Cook P.A., Zheng Y., Egan A., Yushkevich P.A., Gee J.C. N4ITK: improved N3 bias correction. IEEE Transactions on Medical Imaging 2010, 29:1310-1320.
25. Akhtar S., Poh C.L., Kitney R.I. An MRI derived articular cartilage visualization framework. Osteoarthritis and Cartilage 2007, 15:1070-1085.
26. Szczypiński P.M., Strzelecki M., Materka A., Klepaczko A. MaZda-A software package for image texture analysis. Computer Methods and Programs in Biomedicine 2009, 94:66-76.
27. Materka A. MaZda user's manual. In: ; 1998-2005. http://www.eletel.p.lodz.pl/programy/mazda/download/mazda_manual.pdf.
28. Duin RPW, Juszczak P, Paclik P, Pekalska E, de Ridder D, Tax DMJ, Verzakov S. A Matlab toolbox for pattern recognition. URL: 2007; Delft University of Technology. http://www.prtools.org/.
29. Schürmann J. Pattern classification: a unified view of statistical and neural approaches 1996, John Wiley & Sons, Inc.
30. Mahalanobis P.C. On the generalised distance in statistics. Proceedings of the National Institute of Sciences of India 1936, 2:49-55.
31. Whitney A.W. A direct method of nonparametric measurement selection. Computers, IEEE Transactions on 1971, C-20:1100-1103.
32. Hanley J.A., McNeil B.J. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 1982, 143:29-36.
33. GraphPad. Details of calculations for ROC curves. In: ; 2012. http://graphpad.com/support/faq/details-of-calculations-for-roc-curves/.