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Abstract #4455

Model-Based Reconstruction for Joint Estimation of Multiple Quantitative Maps in the Liver Using Single-Shot IR Multi-Echo Radial FLASH

Vitali Telezki1,2,3,4, Daniel Mackner5, Nick Scholand2,5, Zhengguo Tan6, Moritz Blumenthal5, Philip Schaten5, Xiaoqing Wang7, and Martin Uecker1,2,3,5,8
1Department of Interventional and Diagnostic Radiology, University Medical Center Göttingen, Göttingen, Germany, 2German Centre for Cardiovascular Research (DZHK), partner site Lower Saxony, Göttingen, Germany, 3Cluster of Excellence Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells (MBExC2067), University of Göttingen, Göttingen, Germany, 4Department of Neurology, University Medical Center Göttingen, Göttingen, Germany, 5Institute of Biomedical Imaging, Graz University of Technology, Graz, Austria, 6Michigan Institute for Imaging Technology and Translation (MIITT), Radiology, University of Michigan, Ann Arbor, MI, United States, 7Department of Radiology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, United States, 8BioTechMed-Graz, Graz, Germany

Synopsis

Keywords: Quantitative Imaging, Quantitative Imaging, Joint Estimation

Motivation: Rapid acquisition and reconstruction of high-quality liver water-specific $$$T_1$$$, $$$R_2^*$$$, $$$B_0$$$ field, and fat-fraction maps to enhance diagnostic feasibility and to improve patient comfort.

Goal(s): Integrating a multi-parameter-sensitive sequence with advanced model-based reconstruction to jointly estimate quantitative maps from 4-second acquisitions.

Approach: Integrate an analytical signal model into a calibration-free, model-based reconstruction framework to jointly estimate water-specific $$$T_1$$$, $$$R_2^∗$$$, $$$B_0$$$ field, and fat-fraction maps of the liver from a 4-second single-shot inversion-recovery multi-echo radial FLASH acquisition.

Results: Numerical phantom study and in-vivo liver reconstructions demonstrate high quantitative accuracy for all parameter maps.

Impact: By combining a highly sensitive sequence with model-based reconstructions, this work reduces acquisition times for quantitative water-specific $$$T_1$$$, $$$R_2^∗$$$, $$$B_0$$$ field and fat-fraction maps to 4s and makes quantitative multi-parametric MRI more accessible and convenient for diagnostic purposes.

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Keywords