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Development of intravoxel inhomogeneity correction for chemical exchange saturation transfer spectral imaging: a high‐resolution field map‐based deconvolution algorithm for magnetic field inhomogeneity correction
Author(s) -
Sun Phillip Zhe
Publication year - 2020
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.28015
Subject(s) - deconvolution , nuclear magnetic resonance , algorithm , saturation (graph theory) , magnetic field , homogeneity (statistics) , physics , imaging phantom , magnetic resonance imaging , computational physics , computer science , materials science , optics , mathematics , medicine , radiology , combinatorics , quantum mechanics , machine learning
Purpose CEST MRI is sensitive to dilute proteins/peptides and microenvironmental properties yet susceptible to magnetic field inhomogeneity. We aimed to develop a high‐resolution field map‐based CEST intravoxel inhomogeneity correction (CIVIC) algorithm for CEST Z‐spectral imaging. Methods The proposed CIVIC approach treats the intravoxel inhomogeneity as a point spread function and applies the deconvolution algorithm to reconstruct the original Z‐spectrum. We simulated the effect of B 0 field inhomogeneity on CEST measurement and tested the efficacy of the proposed CIVIC algorithm. We also performed CEST MRI on a dual‐pH Creatine‐gel phantom under varied field homogeneity conditions and compared the CEST MRI contrast‐to‐noise ratio from the raw Z‐spectrum, water saturation shift referencing, and the proposed CIVIC methods. Results The numerical simulation showed that the CIVIC algorithm remains effective even in the case of symmetric field dispersion with a 0 mean shift. The experimental results confirmed that the proposed CIVIC method substantially improves the CEST MRI contrast‐to‐noise ratio under different field homogeneity conditions. Conclusion Our study established a new intravoxel B 0 inhomogeneity correction algorithm, promising to facilitate CEST spectral imaging in challenging experimental conditions.