Abstract #4296

Usages of Half Fourier single shot turbo spin echo with deep learning reconstruction and variable flip angle in gynecology

Mitsuhiro Kirita¹, Yuki Himoto¹, Aki Kido², Yasuhisa Kurata¹, Hiroyasu Abe³, Koji Fujimoto⁴, Yuka Matsumoto¹, Kumi Harada¹, Satoshi Morita⁵, Masaki Mandai⁶, and Yuji Nakamoto¹

¹Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, kyoto, Japan, ²Department of Radiology, Toyama University, Toyama, Japan, ³School of Pharmaceutical Sciences, Wakayama Medical University, Wakayama, Japan, ⁴Real World Data Research and Development, Kyoto University Graduate School of Medicine, kyoto, Japan, ⁵Department of Biomedical Statistics and Bioinformatics, Kyoto University Graduate School of Medicine, kyoto, Japan, ⁶Department of Gynecology and Obstetrics, Kyoto University Graduate School of Medicine, kyoto, Japan

Synopsis

Keywords: Pelvis, Uterus

Motivation: Without antispasmodics, obtaining T2-weighted images with robustness to artifacts and high tissue contrast is challenging in gynecologic MRI.

Goal(s): Our goals were to investigate HASTE with deep learning-reconstruction and a variable flip angle technique (iHASTE) outperforming conventional sequences without antispasmodics, and to explore its clinical usages.

Approach: The comparison between iHASTE, HASTE, and BLADE without antispasmodics, and the comparison between iHASTE without antispasmodics and TSE with antispasmodics, were performed.

Results: Without antispasmodics, iHASTE outperformed HASTE and BLADE. Compared with TSE with antispasmodics, iHASTE was superior in the robustness to artifact, although inferior in overall imaging quality.

Impact: In gynecologic MRI, HASTE with deep learning-reconstruction and a variable flip angle technique could be clinically the first choice when antispasmodics are unavailable. Even with antispasmodics, it could back up deteriorated TSE via artifacts, for its robustness and rapidity.

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