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Abstract #3525

Spectrally selective and interleaved water imaging and fat imaging (siWIFI) with fat peak correction

Soo Hyun Shin1, Qingbo Tang1,2, Michael Carl3, Jiyo S. Athertya1, Arya Suprana1,4, James Lo1,4, Dina Moazamian1, David B. Berry5, Eric Y. Chang1,2, Jiang Du1,2,4, and Yajun Ma1
1Department of Radiology, UC San Diego, La Jolla, CA, United States, 2Radiology Service, VA San Diego Healthcare System, La Jolla, CA, United States, 3GE Healthcare, San Diego, CA, United States, 4Department of Bioengineering, UC San Diego, La Jolla, CA, United States, 5Department of Orthopedic Surgery, UC San Diego, La Jolla, CA, United States

Synopsis

Keywords: Fat & Fat/Water Separation, Fat and Fat/Water Separation

Motivation: Water-fat separation and quantification are of critical importance in the MRI assessment of diseases involving fat infiltration.

Goal(s): To develop a robust and reliable fat quantification method.

Approach: We designed a novel sequence for spectrally selective and interleaved water imaging and fat imaging (siWIFI). We also scaled the acquired images to account for the unselected fat peaks around the water. The sequence was tested in the hip, knee, and liver of healthy volunteers.

Results: The fat quantification via siWIFI was improved with fat peak correction. Fat quantifications from subjects were comparable to those from IDEAL scans and were robust against typical B0 inhomogeneity.

Impact: siWIFI selectively images water and fat, achieving accurate fat quantification with a simple fat peak correction. This method is expected to provide robust and accurate fat quantification for monitoring diseases involving fat infiltration and metabolic disruption.

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Keywords