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A Machine Learning Approach to Perfusion Imaging With Dynamic Susceptibility Contrast MR
Background: Dynamic susceptibility contrast (DSC) MR perfusion is a frequently-used technique for neurovascular imaging. The progress of a bolus of contrast agent through the tissue of the brain is imaged via a series of T2(*)-weighted MRI scans. Clinically relevant parameters such as blood flow and...
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| I publikationen: | Front Neurol |
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| Huvudupphovsmän: | , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Frontiers Media S.A.
2018
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6131486/ https://ncbi.nlm.nih.gov/pubmed/30233482 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fneur.2018.00717 |
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