Large vessel vasculitis evaluation by CTA: impact of deep-learning reconstruction and “dark blood” technique

Abstract Objectives To assess the performance of the “dark blood” (DB) technique, deep-learning reconstruction (DLR), and their combination on aortic images for large-vessel vasculitis (LVV) patients. Materials and methods Fifty patients diagnosed with LVV scheduled for aortic computed tomography an...

Full description

Saved in:

Bibliographic Details
Main Authors:	Ning Ding, Xi-Ao Yang, Min Xu, Yun Wang, Zhengyu Jin, Yining Wang, Huadan Xue, Lingyan Kong, Zhiwei Wang, Daming Zhang
Format:	Article
Language:	English
Published:	SpringerOpen 2024-10-01
Series:	Insights into Imaging
Subjects:	Computed tomography angiography Deep learning Dark blood Large-vessel vasculitis Image reconstruction
Online Access:	https://doi.org/10.1186/s13244-024-01843-0
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

Large vessel vasculitis evaluation by CTA: impact of deep-learning reconstruction and “dark blood” technique

Similar Items