Image quality improvement in head and neck angiography based on dual-energy CT and deep learning

Image quality improvement in head and neck angiography based on dual-energy CT and deep learning

Abstract Objective Compare the image quality of image reconstructed using deep learning-based image reconstruction (DLIR) and iterative reconstruction algorithms for head and neck dual-energy CT angiography (DECTA). Methods This prospective study comprised fifty-eight patients with head and neck DEC...

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Bibliographic Details
Main Authors: He Zhang, Lulu Zhang, Juan Long, Xiaonan Sun, Shuai Zhang, Aiyun Sun, Shenman Qiu, Yankai Meng, Tao Ding, Chunfeng Hu, Kai Xu
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Medical Imaging
Subjects:
Deep learning reconstruction
Dual-energy computed tomography
Imaging reconstruction
Head and neck tomography angiography
Online Access:https://doi.org/10.1186/s12880-025-01659-4
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https://doi.org/10.1186/s12880-025-01659-4

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