Multi-feature intensity inhomogeneity correction in MR images

Lecture Notes in Computer Science

Volumn 3216, Issue PART 1, 2004, Pages 283-290

  Vovk, Uroš ^a   Pernuš, Franjo ^a   Likar, Boštjan ^a  

^a Faculty for Electrical Engineering   (Slovenia)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ESTIMATION; HIGH PASS FILTERS; IMAGE ANALYSIS; IMAGE SEGMENTATION; ITERATIVE METHODS; MATHEMATICAL MODELS; OPTIMIZATION; POLYNOMIALS; MEDICAL IMAGING;

EXPECTATION MAXIMIZATION (EM); IMAGE ACQUISITION; IMAGE INTENSITY; ITERATIVE OPTIMIZATION; CORRECTION ALGORITHMS; IMAGE INTENSITIES; IMAGE INTENSITY DISTRIBUTION; INHOMOGENEITY CORRECTION; INTENSITY FEATURES; INTENSITY INHOMOGENEITY; INTENSITY INHOMOGENEITY CORRECTION; ITERATIVE CORRECTIONS;

MAGNETIC RESONANCE IMAGING;

EID: 20444400201     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-30135-6_35     Document Type: Conference Paper

References (16)

1. Condon, B. R., Patterson, J., Wyper, D., Jenkins, A.,Hadley, D. M.: Image non-uniformity in magnetic resonance imaging: its magnitude and methods for its correction. The British Journal of Radiology 60 (1987) 83-87
2. Simmons, A., Tofts, P. S., Barker, G. J.,Arridge, S. R.: Sources of intensity nonuniformity in spin echo images at 1.5 T. Magn Reson Med 32 (1994) 121-128
3. Johnson, B., Atkins, M. S., Mackiewich, B.,Anderson, M.: Segmentation of multiple sclerosis lesions in intensity corrected multispectral MRI. IEEE transaction on medical imaging 15 (1996) 154-169
4. Koivula, A., Alakuijala, J.,Tervonen, O.: Image feature based automatic correction of low-frequency spatial intensity variations in MR images. Magn Reson Imaging 15 (1997) 1167-1175
5. Haselgrove, J.,Prammer, M.: An algorithm for compensating of surface-coil images for sensitivity of the surface coil. Magnetic Resonance Imaging 4 (1986) 469-472
6. Sled, J. G., Zijdenbos, A. P.,Evans, A. C.: A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Trans Med Imaging 17 (1998) 87-97
7. Dawant, B. M., Zijdenbos, A. P.,Margolin, R. A.: Correction o fintensity variations in MR images for computer-aided tissues classification. IEEE Trans Med Imaging 12 (1993) 770-781
8. Styner, M., Brechbuhler, C., Szekely, G.,Gerig, G.: Parametric estimate of intensity inhomogeneities applied to MRI. IEEE Trans Med Imaging 19 (2000) 153-165
9. Likar, B., Viergever, M. A.,Pernuš, F.: Retrospective correction of MR intensity inhomogeneity by information minimization. IEEE Trans Med Imaging 20 (2001) 1398-1410
10. Pham, D. L.,Prince, J. L.: Adaptive fuzzy segmentation of magnetic resonance images. IEEE Trans Med Imaging 18 (1999) 737-752
11. Ahmed, M. N., Yamany, S. M., Mohamed, N., Farag, A. A.,Moriarty, T.: A modified fuzzy C-means algorithm for bias field estimation and segmentation of MRI data. IEEE Trans Med Imaging 21 (2002) 193-199
12. Wells III, W. M., Crimson, W. E. L.,Jolezs, F. A.: Adaptive segmentation of MRI data. IEEE Trans Med Imaging 15 (1996) 429-442
13. Van Leemput, K., Maes, F., Vandermeulen, D.,Suetens, P.: Automated model-based bias field correction of MR images of the brain. IEEE Trans Med Imaging 18 (1999) 885-896
14. Derganc, J., Likar, B., Pernuš, F.: Nonparametric segmentation of multispectral MR images incorporating spatial and intensity information. In: Sonka, M., Fitzpatrick, J.M. (eds.): Proceedings of SPIE Medical Imaging 2002: Image processing, Vol. 4684. SPIE Press, San Diego USA (2002) 391-400
15. Cocosco, C. A., Kollokian, V., S, K. R. K.,Evans, A. C.: BrainWeb: Online Interface to a 3D MRI Simulated Brain Database. NeuroImage 5 (1997) 425-425
16. Velthuizen, R. P., Clarke, L. P., Phuphanich, S., Hall, L. O., Bensaid, A. M., Arrington, J. A., Greenberg, H. M.,Silbiger, M. L.: Unsupervised measurement of brain tumor volume on MR images. J Magn Reson Imaging 5 (1995) 594-605