Post-acquisition correction of MR inhomogeneities

Magnetic Resonance in Medicine

Volumn 36, Issue 2, 1996, Pages 275-286

  Lee, Scott K ^a   Vannier, Michael W ^a  

^a WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

fuzzy c means (FCM) clustering; MR inhomogeneity correction; neuromorphometry; post acquisition inhomogeneity correction

Indexed keywords

FUZZY SYSTEMS; IMAGE ENHANCEMENT;

FUZZY C MEANS CLUSTERING; IMAGE UNIFORMITY; INHOMOGENEITIES; INHOMOGENEITY CORRECTION; INHOMOGENEITY FIELD; INITIAL PARAMETER; NEUROMORPHOMETRY; STATISTICAL CLUSTERING;

CLUSTERING ALGORITHMS;

ALGORITHM; ARTICLE; GRAY MATTER; MATHEMATICAL ANALYSIS; MORPHOMETRICS; NUCLEAR MAGNETIC RESONANCE IMAGING; WHITE MATTER;

EID: 0029760978     PISSN: 07403194     EISSN: None     Source Type: Journal    
DOI: 10.1002/mrm.1910360215     Document Type: Article

References (22)

1. B. R. Condon, J. Patterson, D. Wyper, A. Jenkins, D. M. Hadley, Image non-uniformity in magnetic resonance imaging: its magnitude and methods for its correction. Br. J. Radiol. 60, 83-87 (1987).
2. D. A. G. Wicks, G. J. Barker, P. S. Tofts, Correction of intensity nonuniformity in MR images of any orientation. Magn. Reson. Imaging 11, 183-196 (1993).
3. T. K. F. Foo, C. E. Hayes, Y. W. Kang, Reduction of RF penetration effects in high field imaging. Magn. Reson. Med. 23, 287-301 (1992).
4. L. Axel, J. Costantini, J. Listerud, Intensity correction in surface-coil MR imaging. AJR 148, 418-420 (1987).
5. J. Listerud, R. E. Lenkinski, H. Y. Kressel, L. Axel, The correction of nonuniform signal intensity profiles in magnetic resonance imaging. J. Digit. Imaging 2, 2-8 (1989).
6. K. O. Lim, A. Pfefferbaum, Segmentation of MR brain images into cerebrospinal fluid spaces, white and grey matter. J. Comput. Assist. Tomogr. 13, 588-593 (1989).
7. J. Haselgrove, M. Prammer, An algorithm for compensation of surface-coil images for sensitivity of the surface coil. Magn. Reson. Imaging 4, 469-472 (1986).
8. W. M. I. I. I. Wells, W. E. L. Grimson, R. Kikinis, F. A. Jolesz, Statistical intensity correction and segmentation of MRI data, in "Proc., SPIE, Visualization in Biomedical Computing 1994" (Richard A. Robb, Ed.), vol. 2359, pp. 13-24, 1994.
9. C. R. Meyer, P. H. Bland, J. Pipe. Retrospective correction of intensity inhomogeneities in MRI. IEEE Trans. Med. Imaging 14, 36-41 (1995).
10. T. S. Sumanaweera, G. H. Glover, T. O. Binford, J. R. Adler, MR susceptibility misregistration correction. IEEE Trans. Med. Imaging 12, 251-259 (1993).
11. W. W. Brey, P. A. Narayana, Correction for intensity falloff in surface coil magnetic resonance imaging. Med. Phys. 15, 241-245 (1988).
12. B. M. Dawant, A. P. Zijdenbos, R. A. Margolin, Correction of intensity variations in MR images fur computer-aided tissue classification. IEEE Trans. Med. Imaging 12, 770-781 (1993).
13. J. K. Gohagan, E. L. Spitznagel, W. A. Murphy, et al., Multispectral analysis of MR images of the breast. Radiology 163, 703-707 (1987).
14. A. Simmons, S. R. Arridge, G. J. Barker, A. J. Cluckie, P. S. Tofts, Improvements to the quality of MRI cluster analysis. Magn. Reson. Imaging 12, 1191-1204 (1994).
15. J. Haller, K. Botteron, B. Brunsden, et al., Hippocampal MR Volumetry, SPIE Proc. 2359, 660-671 (1994).
16. C. Hayes, J. S. Tsuruda, C. M. Mathis, Temporal lobes: surface coil phased array imaging. Radiology 189, 918 (1993).
17. J. C. Bezdek, L. O. Hall, L. P. Clarke, Review of MR image segmentation techniques using pattern recognition. Med. Phys. 20, 1033-1048 (1993).
18. L. O. Hall, A. M. Bensaid, L.P Clarke, R. P. Velthuizen, M. S. Silbiger, J. C. Bezdek, A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain. IEEE Trans. Neural Networks 3, 672-682 (1992).
19. S. K. Pal, D. K. D. Majumder, "Fuzzy Mathematical Approach to Pattern Recognition," John Wiley & Sons, New York, 1986.
20. J. C. Bezdek, "Pattern recognition with fuzzy objective function algorithms," Plenum Press, New York, 1981.
21. R. O. Duda, P. E. Hart, "Pattern classification and scene analysis," John Wiley & Sons, Inc., New York, 1973.
22. T. N. Pappas, An adaptive clustering algorithm for image segmenta-tion. IEEE Trans. Signal Processing 40, 901-914 (1992).