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Abstract #4996

Multi-center, multi-vendor validation of PDFF and T1 mapping in an optimized PDFF-T1 phantom

Jitka Starekova1, Sebastian Weingartner2, David Rutkowski3, Won Bae4, Hung Do5, Ananth Madhuranthakam6, Vadim Malis4, Sujoy Mukherjee6, Sheng Qing Lin6, Suraj Serai7, Takeshi Yokoo6, Scott B. Reeder1,8,9,10,11, Jean H. Brittain3, and Diego Hernando1,8
1Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Imaging Physics, Delft University of Technology, Delft, Netherlands, 3Calimetrix, Madison, WI, United States, 4University of California, San Diego, San Diego, CA, United States, 5Canon Medical Systems, Tustin, CA, United States, 6Radiology, University of Texas-Southwestern Medical Center, Dallas, TX, United States, 7Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States, 8Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 9Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 10Medicine, University of Wisconsin-Madison, Madison, WI, United States, 11Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States

Synopsis

Keywords: Quantitative Imaging, Precision & Accuracy, Phantoms, PDFF, T1, Multi-center, Multi-vendor

Motivation: Chemical-shift-encoded (CSE)-based proton-density fat-fraction (PDFF) is a highly validated biomarker of liver fat. T1 mapping has been proposed as a biomarker of hepatic fibrosis. However, the reproducibility of PDFF and T1 in the setting of concomitantly varying fat and T1 is poorly understood.

Goal(s): To validate the reproducibility of CSE-based PDFF and MOLLI-based T1 mapping with concomitantly varying fat and T1.

Approach: We conducted a four-center, four-vendor validation study using a quantitative PDFF-T1 phantom.

Results: CSE-based PDFF had good reproducibility, although with increased bias and variability at long T1 values. The reproducibility of MOLLI-based T1 was affected substantially by the presence of fat.

Impact: CSE-based PDFF demonstrated good reproducibility across four centers/vendors, at both 1.5T and 3T. Increased T1 and increased PDFF led to reduced MOLLI-based T1 reproducibility. This multi-center multi-vendor PDFF-T1 phantom validation approach may enable evaluation of improved quantitative MRI methods.

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Abstract

Keywords