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Low-dose CT urography using deep learning image reconstruction: a prospective study for comparison with conventional CT urography
OBJECTIVES: To compare the image quality of low-dose CT urography (LD-CTU) using deep learning image reconstruction (DLIR) with conventional CTU (C-CTU) using adaptive statistical iterative reconstruction (ASIR-V). METHODS: This was a prospective, single-institutional study using the excretory phase...
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| Gepubliceerd in: | Br J Radiol |
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| Hoofdauteurs: | , , , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
The British Institute of Radiology.
2021
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8010546/ https://ncbi.nlm.nih.gov/pubmed/33571034 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1259/bjr.20201291 |
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