ArticleMagnetic resonance in medicine2020
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.
Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Motion and magnetic field inhomogeneity correction techniques for chemical exchange saturation transfer (CEST) MRI: A contemporary review.NMR in biomedicine · 2025Review
- 3D CEST MRI with an unevenly segmented RF irradiation scheme: A feasibility study in brain tumor imaging.Magnetic resonance in medicine · 2023Article
- Numerical simulation-based assessment of pH-sensitive chemical exchange saturation transfer MRI quantification accuracy across field strengths.NMR in biomedicine · 2023Article
- CEST-MRI for body oncologic imaging: are we there yet?NMR in biomedicine · 2023Review
- Detection of tissue pH with quantitative chemical exchange saturation transfer magnetic resonance imaging.NMR in biomedicine · 2023Review
- Quasi-steady-state CEST (QUASS CEST) solution improves the accuracy of CEST quantification: QUASS CEST MRI-based omega plot analysis.Magnetic resonance in medicine · 2021Article
- Quasi-steady state chemical exchange saturation transfer (QUASS CEST) analysis-correction of the finite relaxation delay and saturation time for robust CEST measurement.Magnetic resonance in medicine · 2021Article
- Demonstration of magnetization transfer and relaxation normalized pH-specific pulse-amide proton transfer imaging in an animal model of acute stroke.Magnetic resonance in medicine · 2020Article
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Authors and funding
1 author.
Funding
Abstract
purposeCEST 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.
methodsThe 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
resultsThe 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.
conclusionOur study established a new intravoxel B
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