High-sensitivity CEST Mapping Using a Spatiotemporal Correlation-enhanced Method

Overview

Journal Magn Reson Med

Publisher Wiley

Specialty Radiology

Date 2020 Jun 30

PMID 32597519

Citations 19

Authors

Lin Chen

Suyi Cao

Raymond C Koehler

Peter C M van Zijl

Jiadi Xu

Affiliations

Soon will be listed here.

Abstract

Purpose: To obtain high-sensitivity CEST maps by exploiting the spatiotemporal correlation between CEST images.

Methods: A postprocessing method accomplished by multilinear singular value decomposition (MLSVD) was used to enhance the CEST SNR by exploiting the correlation between the Z-spectrum for each voxel and the low-rank property of the overall CEST data. The performance of this method was evaluated using CrCEST in ischemic mouse brain at 11.7 tesla. Then, MLSVD CEST was applied to obtain Cr, amide, and amine CEST maps of the ischemic mouse brain to demonstrate its general applications.

Results: Complex-valued Gaussian noise was added to CEST k-space data to mimic a low SNR situation. MLSVD CEST analysis was able to suppress the noise, recover the degraded CEST peak, and provide better CrCEST quality compared to the smoothing and singular value decomposition (SVD)-based denoising methods. High-resolution Cr, amide, and amine CEST maps of an ischemic stroke using MLSVD CEST suggest that CrCEST is also a sensitive pH mapping method, and a wide range of pH changes can be detected by combing CrCEST with amine CEST at high magnetic fields.

Conclusion: MLSVD CEST provides a simple and efficient way to improve the SNR of CEST images.

Citing Articles

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Zhou I, Ji Y, Zhao Y, Viswanathan M, Sun P, Zu Z Magn Reson Med. 2023; 91(4):1512-1527.

PMID: 38098305 PMC: 10872646. DOI: 10.1002/mrm.29960.

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