Improving intracranial aneurysms image quality and diagnostic confidence with deep learning reconstruction in craniocervical CT angiography.

Journal: Acta radiologica (Stockholm, Sweden : 1987)

Published Date: Jun 5, 2024

BACKGROUND: The diagnostic impact of deep learning computed tomography (CT) reconstruction on intracranial aneurysm (IA) remains unclear.

Kun Bai

Cloud and Smart Industries Group, Tencent, Beijing, China.
Tiantian Wang
Guozhi Zhang

Department of Radiology, KU Leuven University Hospitals Leuven, Leuven, Belgium.
Ming Zhang

Heilongjiang Key Laboratory for Laboratory Animals and Comparative Medicine, College of Veterinary Medicine, Harbin 150030, China.
Hongchao Fu

Radiology Department, Jiading District Central Hospital Affiliated to Shanghai University of Medicine & Health Sciences, Key Laboratory of Shanghai Municipal Health Commission for Smart Image, Shanghai, PR China.
Yun Feng

Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Kaiyi Liang

Radiology Department, Jiading District Central Hospital Affiliated to Shanghai University of Medicine & Health Sciences, Key Laboratory of Shanghai Municipal Health Commission for Smart Image, Shanghai, PR China.

Adult Aged Cerebral Angiography Computed Tomography Angiography Deep Learning Female Humans Intracranial Aneurysm Male Middle Aged Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Signal-To-Noise Ratio

View on PubMed Access via DOI PubMed (38839094)