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Deep Learning Versus Iterative Reconstruction for CT Pulmonary Angiography in the Emergency Setting: Improved Image Quality and Reduced Radiation Dose
To compare image quality and the radiation dose of computed tomography pulmonary angiography (CTPA) subjected to the first deep learning-based image reconstruction (DLR) (50%) algorithm, with images subjected to the hybrid-iterative reconstruction (IR) technique (50%). One hundred forty patients who...
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| Vydáno v: | Diagnostics (Basel) |
|---|---|
| Hlavní autoři: | , , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7460033/ https://ncbi.nlm.nih.gov/pubmed/32759874 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/diagnostics10080558 |
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