@inproceedings{faea4b0d52584c44a513fb68ddff8d63,
title = "Intensity inhomogeneity correction of magnetic resonance images using patches",
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.",
keywords = "MRI, RF field inhomogeneity, artifact correction, bias field, gain field, intensity inhomogeneity, non-uniformity, patch, segmentation",
author = "Snehashis Roy and Aaron Carass and Bazin, {Pierre Louis} and Prince, {Jerry L.}",
year = "2011",
doi = "10.1117/12.877466",
language = "English (US)",
isbn = "9780819485045",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
booktitle = "Medical Imaging 2011",
note = "Medical Imaging 2011: Image Processing ; Conference date: 14-02-2011 Through 16-02-2011",
}