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Abstract #3768

Compressed sensing applied to 1 mm isotropic multi-parametric imaging with 3D-QALAS: A phantom, volunteer, and patient study

Shohei Fujita1,2, Akifumi Hagiwara1, Naoyuki Takei3, Ken-Pin Hwang4, Issei Fukunaga1, Shimpei Kato1,2, Masaaki Hori5, Ryusuke Irie1,2, Christina Andica1, Toshiaki Akashi1, Koji Kamagata1, Ukihide Tateishi6, Osamu Abe2, and Shigeki Aoki1
1Department of Radiology, Juntendo University, Tokyo, Japan, 2Department of Radiology, The University of Tokyo, Tokyo, Japan, 3MR Applications and Workflow, GE Healthcare, Tokyo, Japan, 4Department of Radiology, MD Anderson Cancer Center, Houston, TX, United States, 5Department of Radiology, Toho University Omori Medical Center, Tokyo, Japan, 6Department of Radiology, Tokyo Medical and Dental University, Tokyo, Japan

Simultaneous relaxometry of T1, T2, and proton density by 3D-QALAS still requires relatively lengthy acquisition times and further acceleration is desired in clinical practice. Here, we applied compressed sensing combined with parallel imaging to 3D-QALAS to accelerate scan time. Quantitative values and tissue segmentation performance were compared with and without acceleration in phantom, healthy volunteers, and patients. With accelerated 3D-QALAS acquisition, whole brain 1 mm isotropic volume data with multiple parametric maps and co-registered tissue segmentation maps were obtained in less than 6 minutes, with comparable quality to 3D-QALAS without acceleration.

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