Abstract #3837

Free-Breathing Liver Fat Quantification Using an Undersampled Multi-Echo 3D Stack-of-Radial Technique

Tess Armstrong^1,2, Isabel Dregely^1,3, Alto Stemmer⁴, Yutaka Natsuaki⁵, and Holden Wu^1,2

¹Radiological Sciences, University of California, Los Angeles, Los Angeles, CA, United States, ²Physics and Biology in Medicine, University of California, Los Angeles, Los Angeles, CA, United States, ³Biomedical Engineering, King's College London, London, United Kingdom, ⁴Siemens Healthcare, Erlangen, Germany, ⁵Siemens Healthcare, Los Angeles, CA, United States

Non-alcoholic fatty liver disease is the leading cause of chronic liver disease. Multi-echo Cartesian MRI methods can non-invasively quantify liver fat, but are susceptible to motion artifacts and limited by breath hold (BH) imaging. We have developed a new free-breathing (FB) liver fat quantification method using non-Cartesian 3D stack-of-radial imaging. To reduce scan time, we undersampled data up to a factor of R=3. In healthy subjects, mean fat quantification was statistically equivalent among different R. Initial comparisons with spectroscopy show good agreement. Our new technique can potentially achieve accurate whole-liver fat quantification within a fast 1-minute FB scan.

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