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Influence of ClearInfinity Algorithm Weight on the Quality of Virtual Monoenergetic Images in Cranial Spectral Computed Tomography Angiography

Objective: To investigate how the weights of the deep learning–based ClearInfinity (CI) algorithm affect the quality of 55 keV virtual monoenergetic images (VMIs) in cranial spectral computed tomography angiography (CTA), and to provide a basis for clinical optimization of reconstruction parameters....

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Gorde:
Egile Nagusiak: Jun XU, Yihao HUANG, Zhiwei LIU, Changwei LI, Xue BAI, Xianying NING, Xiaoli HU, Kun LUO, Hongying WU, Xiangchuang KONG
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Editorial Office of Computerized Tomography Theory and Application 2026-01-01
Saila:CT Lilun yu yingyong yanjiu
Gaiak:
spectral cta
deep learning
cranial cta
image quality
clearinfinity
Sarrera elektronikoa:https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2025.220
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