Abstract #0086
Multi-site, multi-vendor validation of accuracy, robustness and reproducibility of fat quantification on an oil-water phantom at 1.5T and 3T
Diego Hernando 1 , Mustafa R. Bashir 2 , Gavin Hamilton 3 , Jean M. Shaffer 2 , Samir D. Sharma 1 , Claude B. Sirlin 3 , Keitaro Sofue 2,4 , Nikolaus M. Szeverenyi 3 , Takeshi Yokoo 5,6 , Qing Yuan 5 , and Scott B. Reeder 1,7
1
Radiology, University of Wisconsin-Madison,
Madison, WI, United States,
2
Radiology,
Duke University, Durham, NC, United States,
3
Radiology,
University of California, San Diego, San Diego, CA,
United States,
4
Radiology,
Kobe University Graduate School of Medicine, Kobe,
Hyogo, Japan,
5
Radiology, University of Texas
Southwestern Medical Center, Dallas, TX, United States,
6
Advanced
Imaging Research Center, University of Texas
Southwestern Medical Center, Dallas, TX, United States,
7
Medical
Physics, University of Wisconsin-Madison, Madison, WI,
United States
Chemical shift-encoded techniques for MRI-based
quantification of triglyceride concentration have shown
great promise for assessment of nonalcoholic fatty liver
disease. However, direct validation of these techniques
in phantoms across multiple sites, vendors, platforms
and field strengths has yet to be performed. In this
work, we address this gap by scanning the same oil-water
phantom sequentially at four sites and comparing proton
density fat-fraction measurements obtained with a common
reconstruction algorithm. Our results demonstrate
excellent accuracy, robustness and reproducibility of
PDFF measurements in a phantom across three vendors,
four sites, two field strengths, and eight magnets.
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