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Evaluation of Principal Component Analysis Image Denoising on Multi-Exponential MRI Relaxometry
PURPOSE: Multi-exponential relaxometry is a powerful tool for characterizing tissue, but generally requires high image signal-to-noise ratio (SNR). This work evaluates the use of principal-component-analysis (PCA) denoising to mitigate these SNR demands and improve the precision of relaxometry measu...
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| Vydáno v: | Magn Reson Med |
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| Hlavní autoři: | , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2019
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6955240/ https://ncbi.nlm.nih.gov/pubmed/30720206 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mrm.27658 |
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