Kaori Shiraishi, Takeshi Nakaura, Hiroyuki Uetani, Yasunori Nagayama, Masafumi Kidoh, Naoki Kobayashi, Kosuke Morita, Yuichi Yamahita, Takeshi Miyamoto, Toshinori Hirai
OBJECTIVE: For compressed sensing (CS) to become widely used in routine magnetic resonance imaging (MRI), it is essential to improve image quality. This study aimed to evaluate the usefulness of combining CS and deep learning-based reconstruction (DLR) for various sequences in shoulder MRI. METHODS: This retrospective study included 37 consecutive patients who underwent undersampled shoulder MRIs, including T1-weighted (T1WI), T2-weighted (T2WI), and fat-saturation T2-weighted (FS-T2WI) images...
March 9, 2023: Journal of Computer Assisted Tomography