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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… Click to show full 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 of relaxometry measures.
Keywords:
multi exponential;
image;
principal component;
relaxometry;
component analysis
Journal Title: Magnetic Resonance in Medicine
Year Published: 2019
Link to full text (if available)
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Journal Title: Magnetic Resonance in Medicine
Year Published: 2019
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!