Abstract #3768

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

Shohei Fujita^1,2, Akifumi Hagiwara¹, Naoyuki Takei³, Ken-Pin Hwang⁴, Issei Fukunaga¹, Shimpei Kato^1,2, Masaaki Hori⁵, Ryusuke Irie^1,2, 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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