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Abstract #0836

Automated Analysis of MR Elastography and Quantitative Fat-Water Imaging

Bogdan Dzyubak1, Jiahui Li1, Sudhakar K. Venkatesh1, Kevin J Glaser1, Alina M Allen2, Meng Yin1, and Richard L. Ehman1

1Radiology, Mayo Clinic, Rochester, MN, United States, 2Gastroenterology, Mayo Clinic, Rochester, MN, United States

Evaluation of liver health with quantitative MRI addresses an issue of major global importance. This work extends ALEC, a previously validated automated method for defining ROIs and reporting liver stiffness from MR elastography images, to reporting fat fraction and R2* from multipoint Dixon images. The tool achieves excellent correlation with an expert reader in 102 clinical exams and allows multiparametric quantitative liver MRI exams to be analyzed in a highly reproducible way within 5 minutes.

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