An Auto-Processing Algorithm for Liver Fat Quantification

doi:10.11938/cjmr20182636

Abstract

Abstract: Magnetic resonance spectroscopy (MRS) is useful for rapid and robust liver fat quantification. MR spectra of liver can be acquired in a single breath-hold with the high-speed multi-echo stimulated echo acquisition mode, from which T₂-corrected liver proton density fat fraction (PDFF) can be derived. However, the widespread application of this method is hampered by the cumbersome post-processing procedures for the spectroscopy data. In this work, an automated algorithm for liver fat quantification from multi-echo spectroscopy data was developed. The feasibility and accuracy of the algorithm were evaluated with fat-water phantoms experiments and human liver experiments. The results demonstrated excellent correlation and agreement between the PDFF measurements with the proposed algorithm and those obtained with the jMRUI software.

Key words: magnetic resonance spectroscopy, high-speed T₂-corrected multi-echo acquisition, proton density fat fraction, spectral post-processing algorithm

CLC Number:

O482.53

ZHANG Miao, ZHAI Guo-qiang, LI Gai-ying, WANG Yi, FAN Ming-xia, LI Jian-qi. An Auto-Processing Algorithm for Liver Fat Quantification[J]. Chinese Journal of Magnetic Resonance, 2018, 35(4): 427-439.

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