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Abstract #3229

Optimized fast fat-fraction mapping in the knee using Signal Profile Asymmetries for Robust multi-Compartment Quantification (SPARCQ)

Adèle LC Mackowiak1,2,3, Tom Hilbert3,4, Giulia MC Rossi1,3, Tobias Kober3,4, and Jessica AM Bastiaansen1
1Department of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 2Department of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 3Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 4LTS5, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland

The Signal Profile Asymmetries for Robust multi-Compartment Quantification (SPARCQ) framework was recently developed and used to quantify water and fat content in tissues. Applying SPARCQ on bSSFP signal profiles obtained from phase-cycled acquisitions provided reliable fat fractions with a total scan time of 20:21min at low resolution. In this study, SPARCQ was accelerated and optimized for water-fat separation using numerical simulations and in vivo experiments to obtain a clinically acceptable protocol. Images and fat-fraction maps of knees at an isotropic resolution of (1.25mm)3 were obtained with a scan time of 7:12min.

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