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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Bibliographic Details
Published in:Magn Reson Med
Main Authors: Does, Mark D., Olesen, Jonas Lynge, Harkins, Kevin D., Serradas-Duarte, Teresa, Gochberg, Daniel F., Jespersen, Sune N., Shemesh, Noam
Format: Artigo
Language:Inglês
Published: 2019
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Article
Online Access: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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