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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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Jun XU, Yihao HUANG, Zhiwei LIU, Changwei LI, Xue BAI, Xianying NING, Xiaoli HU, Kun LUO, Hongying WU, Xiangchuang KONG
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Editorial Office of Computerized Tomography Theory and Application 2026-01-01
Цуврал:	CT Lilun yu yingyong yanjiu
Нөхцлүүд:	spectral cta deep learning cranial cta image quality clearinfinity
Онлайн хандалт:	https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2025.220
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!