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

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.