Improved overall image quality in low-dose dual-energy computed tomography enterography using deep-learning image reconstruction.

Objective: To demonstrate the clinical advantages of a deep-learning image reconstruction (DLIR) in low-dose dual-energy computed tomography enterography (DECTE) by comparing images with standard-dose adaptive iterative reconstruction-Veo (ASIR-V) images. Methods: In this Institutional review board...

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Publicado en:	Abdominal Radiology Vol. 49; no. 9; pp. 2979 - 2988
Autores principales:	Lin, Xu, Gao, Yankun, Zhu, Chao, Song, Jian, Liu, Ling, Li, Jianying, Wu, Xingwang
Formato:	Journal Article
Publicado:	Springer Nature Sep2024
Acceso en línea:	Ver este registro en EBSCOhost