Deep Learning Image Reconstruction to Improve Computed Tomography Image Quality of the Phantom with Standard Liver Density
Objective: This study aimed to compare the quality of reconstructed images by deep learning image reconstruction (DLIR) and adaptive statistical iterative reconstruction-V (ASIR-V) techniques at different scan doses using a phantom with liver density. Methods: The Gammex computed tomography (CT) pha...
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| Huvudupphovsmän: | , , , , , |
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| Materialtyp: | Artikel |
| Språk: | engelska |
| Publicerad: |
Editorial Office of Computerized Tomography Theory and Application
2025-07-01
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| Serie: | CT Lilun yu yingyong yanjiu |
| Ämnen: | |
| Länkar: | https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2024.056 |
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