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11 March 2011 Intensity inhomogeneity correction of magnetic resonance images using patches
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Proceedings Volume 7962, Medical Imaging 2011: Image Processing; 79621F (2011)
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States
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.
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Snehashis Roy, Aaron Carass, Pierre-Louis Bazin, and Jerry L. Prince "Intensity inhomogeneity correction of magnetic resonance images using patches", Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 79621F (11 March 2011);

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