Abstract
Purpose: (Formula presented.) and (Formula presented.) inhomogeneity corrections are crucial for accurate CEST imaging, particularly at ultra-high-field MRI. WASABI provides high fidelity (Formula presented.) and (Formula presented.) maps but suffers from prolonged post-processing and sensitivity to local minima. Our objective was to design an alternative to WASABI's Levenberg-Marquardt-based optimization approach to improve both post-processing speed and accuracy. Methods: A direct relationship was derived between (Formula presented.) and (Formula presented.) values and information contained in WASABI Z-spectra. Seven in vivo brain datasets were acquired at 7T. Results: The proposed approach, called RAbi DIstance SearcH (RADISH), accelerated post-processing by two orders of magnitude, with improved estimation across all brain slices. Maps produced with RADISH were consistent with those produced by unartifacted areas in the original approach, with agreements within 1 Hz and 0.5% for (Formula presented.) and r (Formula presented.) maps, respectively. The percentage of whole-head artifacts was reduced from 3.90% to 1.05%. Conclusions: Improvement in speed and robustness provided by RADISH allows for reliable generation of (Formula presented.) and (Formula presented.) maps, contributing to making quantitative CEST imaging at ultra-high-field more reliable and advancing its clinical feasibility.
| Original language | English |
|---|---|
| Pages (from-to) | 2702-2714 |
| Number of pages | 13 |
| Journal | Magnetic resonance in medicine |
| Volume | 94 |
| Issue number | 6 |
| Early online date | 2025 |
| DOIs | |
| Publication status | Published - Dec 2025 |
Keywords
- B
- CEST
- WASABI
- WASSR
- inhomogeneities correction
- water shift
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