Deep Learning Reconstruction in Abdominopelvic Contrast-Enhanced CT for The Evaluation of Hemorrhages.

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 incl...

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Bibliographic Details
Published in:Radiologic Technology Vol. 96; no. 2; pp. 99 - 107
Main Authors: Akira Katayama, Koichiro Yasaka, Hiroshi Hirakawa, Yuta Ohtake, Osamu Abe
Format: diagnostic images research tables/charts Journal Article
Published: American Society of Radiologic Technologists Nov/Dec2024
Online Access:View this record in EBSCOhost