Improved overall image quality in low-dose dual-energy computed tomography enterography using deep-learning image reconstruction.
Objective: To demonstrate the clinical advantages of a deep-learning image reconstruction (DLIR) in low-dose dual-energy computed tomography enterography (DECTE) by comparing images with standard-dose adaptive iterative reconstruction-Veo (ASIR-V) images. Methods: In this Institutional review board...
| Publicado en: | Abdominal Radiology Vol. 49; no. 9; pp. 2979 - 2988 |
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| Autores principales: | , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Sep2024
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| Acceso en línea: | Ver este registro en EBSCOhost |