Automated segmentation and quantification of inflammatory tissue of the hand in rheumatoid arthritis patients using magnetic resonance imaging data

Artificial Intelligence in Medicine

Volumn 40, Issue 2, 2007, Pages 65-85

  Tripoliti, Evanthia E ^a   Fotiadis, Dimitrios I ^a   Argyropoulou, Maria ^b  

^a UNIVERSITY OF IOANNINA   (Greece)

^b UNIVERSITY OF IOANNINA   (Greece)

Author keywords

Fuzzy C means clustering; Magnetic resonance imaging; Rheumatoid arthritis

Indexed keywords

ALGORITHMS; FUZZY SETS; IMAGE PROCESSING; MAGNETIC RESONANCE IMAGING; OPTIMIZATION; PATIENT TREATMENT;

FUZZY C-MEANS CLUSTERING; POSTPROCESSING; RHEUMATOID ARTHRITIS; VALIDITY INDEX;

TISSUE ENGINEERING;

ALGORITHM; ARTICLE; AUTOMATION; CLINICAL ARTICLE; EVALUATION; FOLLOW UP; HUMAN; IMAGE ANALYSIS; INFLAMMATION; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RHEUMATOID ARTHRITIS; VALIDATION PROCESS;

ALGORITHMS; ANTIRHEUMATIC AGENTS; ARTHRITIS, RHEUMATOID; CLUSTER ANALYSIS; HAND; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PREDICTIVE VALUE OF TESTS; SENSITIVITY AND SPECIFICITY;

EID: 34249019885     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2007.02.003     Document Type: Article

References (35)

1. Bresniham B. Pathogenesis of joint damage in rheumatoid arthritis. J Rheumatol 26 (1999) 717-719
2. Gravallese E.M. Bone destruction in arthritis. Ann Rheum Dis 61 Suppl 2 (2002) ii84-ii86
3. Klarlund M., Østergaard M., Jensen K., Madsen J., Skjødt H., and Lorenzen I. Magnetic resonance imaging, radiography, scintigraphy of the finger joints: one year follow up of patients with early arthritis. Ann Rheum Dis 59 (2000) 521-528
4. McQueen F., Stewart N., Crabbe J., Robinson E., Yeoman S., Tan P., et al. Magnetic resonance imaging of the wrist in early rheumatoid arthritis reveals progression of erosions despite clinical improvement. Ann Rheum Dis 58 (1999) 156-163
5. Østergaard M., Hansen M., Stoltenberg M., Gideon P., Klarlund M., Jensen K., et al. Magnetic resonance imaging-determined synovial membrane volume as a marker of disease activity and a predictor of progressive joint destruction in the wrists of patients with rheumatoid arthritis. Arth Rheum 42 (1999) 918-929
6. Arthritis Foundation, Disease Center, http://www.arthritis.org/conditions/DiseaseCenter/RA/default.asp. (Accessed: 18 October 2006). 2006.
7. Harris Jr. E.D. Mechanism of disease: rheumatoid arthritis pathophysiology and implications for therapy. N Engl J Med 322 (1990) 1277-1289
8. Odeh M. New insights into the pathogenesis and treatment of rheumatoid arthritis. Clin Immunol Immunopathol 83 (1997) 103-106
9. Maini R.N., and Feldmann M. How does infliximab work in rheumatoid arthritis?. Arth Res 4 Suppl 2 (2002) S22-S28
10. Nikas S.N., Temekonidis T.I., Zikou A.K., Argyropoulou M.I., Efremidis S., and Drosos A.A. Treatment of resistant rheumatoid arthritis by intra-articular infliximab injections: a pilot study. Ann Rheum Dis 63 (2004) 102-103
11. Kaarela K., and Kautiainen H. Continuous progression of radiological destruction in seropositive rheumatoid arthritis. J Rheumatol 24 (1997) 1285-1287
12. Renner W.R., and Weinstein A.S. Early changes of rheumatoid arthritis in the hand and wrist. Radiol Clin North Am 26 (1988) 1185-1193
13. MRI Assessment of Rheumatoid Arthritis, http://www.synarc.com/services/arthritis/rheumatoid-arthritis/mri-assessment-rheumatoid.html. (Accessed: 18 October 2006). 2005.
14. Ahmed M., Yamany S., Mohamed N., and Farag A. A modified fuzzy C-means algorithm for bias field estimation and segmentation of MRI data. IEEE Trans Med Imag 21 3 (2002) 193-199
15. Chen W., Giger M., and Bick U. A fuzzy C-means (FCM)-based approach for computerized segmentation of breast lesions in dynamic contrast-enhanced MR images. Acad Radiol 13 1 (2006) 63-72
16. Pham D., and Prince J. Adaptive fuzzy segmentation of magnetic resonance images. IEEE Trans. Med. Imag 18 9 (1999) 737-752
17. Zhang D., and Chen S. A novel kernelised fuzzy c-means algorithm with apllication in medical image segmentation. Artif Intell Med 32 10 (2004) 37-50
18. Chen S., and Zhang D. Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance metric. IEEE Trans Syst, Man, Cybern-Part 34 4 (2004) 1907-1916
19. Klarlund M., Østergaard M., and Lorenzen I. Finger joint synovitis in rheumatoid arthritis: quantitative assessment by magnetic resonance imaging. Rheumatology 38 (1999) 66-72
20. Savnik A., Malmskov H., Thomsen H., Graff L., Nielsen H., Danneskiold-Samsoe B., et al. MRI of the wrist and finger joints in inflammatory joint diseases at 1-year interval: MRI features to predict bone erosions. Eur Radiol 12 (2002) 1203-1210
21. Østergaard M., Hansen M., Stoltenberg M., and Lorenzen I. Quantitative assessment of the synovial membrane in the rheumatoid wrist: an easily obtained MRI score reflects the synovial volume. Br J Rheumatol 35 (1996) 965-971
22. Tamai K., Yamato M., Yamaguchi T., and Ohno W. Dynamic magnetic resonance imaging for the evaluation of synovitis in patients with rheumatoid arthritis. Arth Rheum 37 (1994) 1151-1157
23. Gaffney K., Cookson J., Blake D., Coumbe A., and Blades S. Quantification of rheumatoid synovitis by magnetic resonance imaging. Arth Rheum 38 (1995) 1610-1617
24. Østergaard M., Stoltenberg M., Lovgreen-Nielsen P., Volck B., Jensen C.H., and Lorenzen I. Magnetic resonace imaging-determined synovial membrane and joint effusion volumes in rheumatoid arthritis and osteoarthritis: comparison with the macroscopic and microscopic appearance of synovium. Arth Rheum 40 (1997) 1856-1867
25. Xanthopoulos E, Taylor CJ, Huchinson CE, Adams JE, Bruce IN, Waterton J, MRI-determined volume of enhancing pannus of the hand and wrist as means of studying reproducibility of the method and progression of Rheumatoid Arthritis, Medical Image Understanding and Analysis 2002 Proceedings, In: Houston, A, Zwiggelaar, R, editors. University of Portsmouth. (Full paper is available on line at the following address: http://www2.cmp.uea.ac.uk/∼et/miua2002/papers/paper_35.pdf (Accessed: 18 October 2006)) (Proceedings are available on line at the following address: http://www2.cmp.uea.ac.uk/∼et/miua2002/proceedings2002.html (Accessed: 18 October 2006)).
26. Sugimoto H., Takeda A., and Kano S. Assessment of disease activity in rheumatoid arthritis using magnetic resonance imaging: quantification of pannus volume in the hands. Br J Rheum 37 (1998) 854-861
27. Disler D., Marr D., and Rosental D. Accuracy of volume measurements of computed tomography and magnetic resonance imaging phantoms by three-dimensional reconstruction and preliminary clinical application. Invest Radiol 29 (1994) 739-745
28. Arnett F.C., Edworthy S.M., Bloch D.A., McShane D.J., Fries J.F., Cooper N.S., et al. The American rheumatism association 1987 revised criteria for the classification of rheumatoid arthritis. Arth Rheum 31 3 (1988) 315-324
29. Nakahara N., Uetani M., Hayashi K., Kawahara Y., Matsumoto T., and Oda J. Gadolinium-enhanced MR imaging of the wrist in rheumatoid arthritis: value of fat suppression pulse sequences. Skel Radiol 26 7 (1996) 639-647
30. Otsu N. A threshold selection method from gray-level histograms. IEEE Trans Syst, Man, Cybern 9 1 (1979) 62-66
31. Foley J., van Dam A., Feiner S., and Hughes J. Computer Graphics: Principles and Practice. 2nd ed. (1990), Addison-Wesley, Reading, MA
32. Schuind F., Linscheid R., An K., and Chao E. A normal data base of posteroanterior roentgeno-graphic measurements of the wrist. J Bone Joint Surg 76 (1992) 1418-1429
33. Bezdek J. Pattern Recognition With Fuzzy Objective Function Algorithms (1981), Kluwer Academic Publishers Norwell, MA
34. Kim D., Park Y., and Park D. Novel validity index for determination of the optimal number of clusters. IEIC Trans. Inf. Syst. E84-D (2001) 281-285
35. Friedman C.P., and Wyatt J.C. Evaluation Methods in Medical Informatics (1997), Springer Verlag, New York