Advancing clinical MRI exams with artificial intelligence: Japan's contributions and future prospects
In this narrative review, we review the applications of artificial intelligence (AI) into clinical
magnetic resonance imaging (MRI) exams, with a particular focus on Japan's contributions …
magnetic resonance imaging (MRI) exams, with a particular focus on Japan's contributions …
Ultra-High-Resolution T2-Weighted PROPELLER MRI of the Rectum With Deep Learning Reconstruction: Assessment of Image Quality and Diagnostic Performance
S Matsumoto, T Tsuboyama, H Onishi… - Investigative …, 2023 - journals.lww.com
Objective The aim of this study was to evaluate the impact of ultra-high-resolution acquisition
and deep learning reconstruction (DLR) on the image quality and diagnostic performance of …
and deep learning reconstruction (DLR) on the image quality and diagnostic performance of …
Feasibility of the application of deep learning-reconstructed ultra-fast respiratory-triggered T2-weighted imaging at 3 T in liver imaging
K Liu, H Sun, X Wang, X Wen, J Yang, X Zhang… - Magnetic Resonance …, 2024 - Elsevier
Objective The evaluate the feasibility of a novel deep learning-reconstructed ultra-fast
respiratory-triggered T2WI sequence (DL-RT-T2WI) In liver imaging, compared with …
respiratory-triggered T2WI sequence (DL-RT-T2WI) In liver imaging, compared with …
Utility of Thin-slice Fat-suppressed Single-shot T2-weighted MR Imaging with Deep Learning Image Reconstruction as a Protocol for Evaluating the Pancreas
R Shimada, K Sofue, Y Ueno, T Wakayama… - … Resonance in Medical …, 2024 - jstage.jst.go.jp
Purpose: To compare the utility of thin-slice fat-suppressed single-shot T2-weighted imaging
(T2WI) with deep learning image reconstruction (DLIR) and conventional fast spin-echo …
(T2WI) with deep learning image reconstruction (DLIR) and conventional fast spin-echo …
Deep learning-based image reconstruction algorithm for lung diffusion weighted imaging: improved image quality and diagnostic performance
J Li, Y Xia, GY Sun, ML Xu, XQ Lin, S Jiang… - Chinese Journal of …, 2024 - Springer
Purpose To assess the impact of deep learning reconstruction (DLR) on the image quality
and the diagnostic performance of lung DWI. Methods Totally 46 patients with 46 lesions …
and the diagnostic performance of lung DWI. Methods Totally 46 patients with 46 lesions …