Rapid and simplified post-processing for simultaneous B 0 $$ {\mathrm{B}}_0 $$ and B 1 $$ {\mathrm{B}}_1 $$ mapping
Mara Quach1,2, Myrte Strik2,3,4, Rebecca Glarin2
1Department of Biomedical Engineering and Graeme Clark Institute, The University of Melbourne, Parkville, Victoria, Australia.
A new method, RADISH, significantly speeds up post-processing for accurate 0 and 1 inhomogeneity corrections in ultra-high-field MRI. This improves the reliability and clinical feasibility of quantitative CEST imaging.
Area of Science:
- Medical Imaging
- Magnetic Resonance Imaging
- Quantitative Imaging
Background:
- Accurate 0 and 1 inhomogeneity correction is vital for reliable Chemical Exchange Saturation Transfer (CEST) imaging, especially at ultra-high fields (UHF).
- The WASABI technique offers high-fidelity and 1 mapping but is hindered by slow post-processing and susceptibility to local minima.
Purpose of the Study:
- To develop an alternative to the WASABI Levenberg-Marquardt approach for 0 and 1 mapping.
- To enhance both the speed and accuracy of post-processing for quantitative CEST imaging at UHF.
Main Methods:
- Derived a direct relationship between , 1 values, and WASABI Z-spectrum information.
- Developed a novel optimization approach named RAbi DIstance SearcH (RADISH).
- Validated the method using seven in vivo 7T brain datasets.
Main Results:
- RADISH accelerated post-processing by two orders of magnitude compared to WASABI.
- Achieved improved estimation accuracy across all brain slices, with and 1 map agreement within 1 Hz and 0.5%, respectively.
- Reduced whole-head artifacts from 3.90% to 1.05%.
Conclusions:
- RADISH offers significant improvements in speed and robustness for generating and 1 maps.
- The enhanced reliability of RADISH contributes to making quantitative CEST imaging at UHF more feasible for clinical applications.
More Related Videos
12:54Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo
Published on: October 2, 2021
06:03AMEBaS: Automatic Midline Extraction and Background Subtraction of Ratiometric Fluorescence Time-Lapses of Polarized Single Cells
Published on: June 23, 2023
