Deep Learning Reconstruction for Ultra-high-resolution Cranial CT: Image Quality Enhancement and Radiation Dose Reduction

Objective: This study aimed to investigate the effect of ultra-high-resolution (UHR) detector computed tomography (CT) combined with a deep learning reconstruction algorithm (ClearInfinity (CI)) on cranial CT image quality and its potential for radiation dose reduction. Methods: A NeuViz Epoch Elite...

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Detalhes bibliográficos

Principais autores:	Jiashuo YANG, Yuhe CHENG, Zixuan MA, Dandan LIU, Yongxian ZHANG
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Editorial Office of Computerized Tomography Theory and Application 2026-01-01
coleção:	CT Lilun yu yingyong yanjiu
Assuntos:	deep learning reconstruction algorithm ultra-high-resolution detector ct cranial ct
Acesso em linha:	https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2025.283
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