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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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Editorial Office of Computerized Tomography Theory and Application
2026-01-01
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| Serie: | CT Lilun yu yingyong yanjiu |
| Soggetti: | |
| Accesso online: | https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2025.283 |
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