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Proceedings Paper

Intensity inhomogeneity correction of magnetic resonance images using patches
Author(s): Snehashis Roy; Aaron Carass; Pierre-Louis Bazin; Jerry L. Prince
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Paper Abstract

This paper presents a patch-based non-parametric approach to the correction of intensity inhomogeneity from magnetic resonance (MR) images of the human brain. During image acquisition, the inhomogeneity present in the radio-frequency coil, is usually manifested on the reconstructed MR image as a smooth shading effect. This artifact can significantly deteriorate the performance of any kind of image processing algorithm that uses intensities as a feature. Most of the current inhomogeneity correction techniques use explicit smoothness assumptions on the inhomogeneity field, which sometimes limit their performance if the actual inhomogeneity is not smooth, a problem that becomes prevalent in high fields. The proposed patch-based inhomogeneity correction method does not assume any parametric smoothness model, instead, it uses patches from an atlas of an inhomogeneity-free image to do the correction. Preliminary results show that the proposed method is comparable to N3, a current state of the art method, when the inhomogeneity is smooth, and outperforms N3 when the inhomogeneity contains non-smooth elements.

Paper Details

Date Published: 11 March 2011
PDF: 6 pages
Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 79621F (11 March 2011); doi: 10.1117/12.877466
Show Author Affiliations
Snehashis Roy, The Johns Hopkins Univ. (United States)
Aaron Carass, The Johns Hopkins Univ. (United States)
Pierre-Louis Bazin, The Johns Hopkins Univ. (United States)
Jerry L. Prince, The Johns Hopkins Univ. (United States)


Published in SPIE Proceedings Vol. 7962:
Medical Imaging 2011: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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