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Abstract #2981

Accelerated Compressed Sensing 3D multi-parametric imaging Toward Isotropic1mm3 Imaging

Naoyuki Takei1, Akifumi Hagiwara2,3, Shohei Fujita2, Masaaki Hori2, Ken-Pin Hwang4, Marcel Warntjes5, Suchandrima Banerjee6, Florian Wiesinger7, Shigeki Aoki8, and Hiroyuki Kabasawa1

1MR Applications and Workflow, GE Healthcare, Tokyo, Japan, 2Radiology, Juntendo University School of Medicine, Tokyo, Japan, 3Radiology, The University of Tokyo Graduate School of Medicine, Tokyo, Japan, 4Department of Imaging Physics, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States, 5SyntheticMR, Linkoping, Sweden, 6MR Applications and Workflow, GE Healthcare, Menlo Park, CA, United States, 7ASL Europe, GE Healthcare, Munich, Germany, 8Juntendo University School of Medicine, Tokyo, Japan

A multi-parametric technique, 3D QALAS, accelerated using compressed sensing, was implemented to yield images of the brain at high spatial resolution of 1mm isotropic with multiple contrast weightings as well as parametric maps from a single scan. Compressed sensing factor of 1.5 combined with parallel imaging was used to accelerate scan time. The proposed 3D technique is expected to achieve both stable image quality and tissue segmentation accuracy with short imaging time.

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