High‐sensitivity CEST mapping using a spatiotemporal correlation‐enhanced method. Issue 6 (29th June 2020)

• Record Type: Journal Article
• Authors: Chen, Lin; Cao, Suyi; Koehler, Raymond C.; van Zijl, Peter C. M.; Xu, Jiadi
• Is Part Of: Magnetic resonance in medicine. Volume 84:Issue 6(2020)
• Page Start: 3342
• Page End: 3350
• Publication Date: 2020-06-29
• Subjects: amide -- amine -- chemical exchange saturation transfer (CEST) -- creatine (Cr) -- ischemic stroke -- pH mapping -- polynomial and Lorentzian line‐shape fitting (PLOF) -- multilinear singular value decomposition (MLSVD) -- singular value decomposition (SVD); Nuclear magnetic resonance -- Periodicals; Electron paramagnetic resonance -- Periodicals; 616.07548
• DOI: 10.1002/mrm.28380
• Languages: English
• ISSNs: 0740-3194

Abstract

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.