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Proceedings Paper

Surface fitting approach to the correction of spatial intensity variations in MR images
Author(s): Benoit M. Dawant; Alex P. Zijdenbos; Richard A. Margolin
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Paper Abstract

Spatial intensity variations introduced by non-uniformity in the radio frequency (rf) coil of most MR scanners in clinical use preclude the selection of a single threshold for the separation of tissues across the entire image. Also, they increase the variance of the data, thus reducing the efficacy of numerical classifiers designed for the automatic segmentation of these images. In this paper, we present a new technique for the correction of spatial intensity variations. The methods require the labeling of a number of reference points across the image to which intensity surfaces are fitted. These surfaces are then utilized to correct the original images. Results obtained with phantom and patient data demonstrate the robustness of the approach and its impact on the classification results obtained with automatic classifiers.

Paper Details

Date Published: 26 June 1992
PDF: 12 pages
Proc. SPIE 1660, Biomedical Image Processing and Three-Dimensional Microscopy, (26 June 1992); doi: 10.1117/12.59531
Show Author Affiliations
Benoit M. Dawant, Vanderbilt Univ. (United States)
Alex P. Zijdenbos, Vanderbilt Univ. (United States)
Richard A. Margolin, Vanderbilt Univ. (United States)


Published in SPIE Proceedings Vol. 1660:
Biomedical Image Processing and Three-Dimensional Microscopy
Raj S. Acharya; Carol J. Cogswell; Dmitry B. Goldgof, Editor(s)

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