Deep learning image reconstruction algorithm for carotid dual-energy computed tomography angiography: evaluation of image quality and diagnostic performance

Deep learning image reconstruction algorithm for carotid dual-energy computed tomography angiography: evaluation of image quality and diagnostic performance

Abstract Objectives To evaluate image quality and diagnostic performance of carotid dual-energy computed tomography angiography (DECTA) using deep learning image reconstruction (DLIR) compared with images using adaptive statistical iterative reconstruction-Veo (ASIR-V). Methods Carotid DECTA dataset...

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Bibliographic Details
Main Authors: Chenyu Jiang, Dan Jin, Zhuoheng Liu, Yan Zhang, Ming Ni, Huishu Yuan
Format: Article
Language:English
Published: SpringerOpen 2022-11-01
Series:Insights into Imaging
Subjects:
Dual-energy computed tomography
Deep learning
Image reconstruction
Online Access:https://doi.org/10.1186/s13244-022-01308-2

Internet

https://doi.org/10.1186/s13244-022-01308-2

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