Evaluation of principal component analysis image denoising on multi‐exponential MRI relaxometry
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DOI: 10.1002/mrm.27658
Abstract: 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… read more here.
Keywords: multi exponential; image; principal component; relaxometry ... See more keywords