Deep learning image reconstruction generates thinner slice iodine maps with improved image quality to increase diagnostic acceptance and lesion conspicuity: a prospective study on abdominal dual-energy CT

Abstract Background To assess the improvement of image quality and diagnostic acceptance of thinner slice iodine maps enabled by deep learning image reconstruction (DLIR) in abdominal dual-energy CT (DECT). Methods This study prospectively included 104 participants with 136 lesions. Four series of i...

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Bibliografische Detailangaben

Hauptverfasser:	Jingyu Zhong, Lingyun Wang, Chao Yan, Yue Xing, Yangfan Hu, Defang Ding, Xiang Ge, Jianying Li, Wei Lu, Xiaomeng Shi, Fei Yuan, Weiwu Yao, Huan Zhang
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	BMC 2024-06-01
Schriftenreihe:	BMC Medical Imaging
Schlagworte:	Deep learning Image reconstruction Multidetector computed tomography Image enhancement Abdomen
Online-Zugang:	https://doi.org/10.1186/s12880-024-01334-0
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