Adaptive denoising for chemical exchange saturation transfer MR imaging

Volume: 32, Issue: 11
Published: Jul 30, 2019
Abstract
High image signal–to–noise ratio (SNR) is required to reliably detect the inherently small chemical exchange saturation transfer (CEST) effects in vivo. In this study, it was demonstrated that identifying spectral redundancies of CEST data by principal component analysis (PCA) in combination with an appropriate data–driven extraction of relevant information can be used for an effective and robust denoising of CEST spectra. The relationship...
Paper Details
Title
Adaptive denoising for chemical exchange saturation transfer MR imaging
Published Date
Jul 30, 2019
Volume
32
Issue
11
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