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Abstract #4342

Fast intensity non-uniformity correction for breast MRI using sparse samples

Linxi Shi 1, Steffi Liu Perkins1, Catherine J Moran1, Brian A. Hargreaves1, and Bruce L. Daniel1

1Radiology, Stanford Universty, Palo Alto, CA, United States

The quantitative application of breast MRI is hindered by image non-uniformity artifact due to B0 and B1 variations. In this work, we developed an effective intensity non-uniformity correction algorithm for breast MRI with high computational efficiency. Compare to existing methods, the proposed method is readily implementable clinically as a software plug-in without modification of existing imaging protocols or hardware, and can potentially be applied to MR images of other anatomical sites.

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