1 results match your criteria: "work for the University of Tokyo.[Affiliation]"
Deep Learning Reconstruction in Abdominopelvic Contrast-Enhanced CT for The Evaluation of Hemorrhages.
Radiol Technol
November 2024
Akira Katayama, MD; Koichiro Yasaka, MD, PhD; Hiroshi Hirakawa, MD; Yuta Ohtake, MD; and Osamu Abe, MD, PhD, work for the University of Tokyo.
Purpose: To investigate the effects of deep learning reconstruction on depicting arteries and providing suitable images for the evaluation of hemorrhages with abdominopelvic contrast-enhanced computed tomography (CT) compared with hybrid iterative reconstruction.
Methods: This retrospective study included 16 patients (mean age: 54.2 ± 22.