Unknown

Dataset Information

0

Quantifying amide proton exchange rate and concentration in chemical exchange saturation transfer imaging of the human brain.


ABSTRACT: Current chemical exchange saturation transfer (CEST) neuroimaging protocols typically acquire CEST-weighted images, and, as such, do not essentially provide quantitative proton-specific exchange rates (or brain pH) and concentrations. We developed a dictionary-free MR fingerprinting (MRF) technique to allow CEST parameter quantification with a reduced data set. This was accomplished by subgrouping proton exchange models (SPEM), taking amide proton transfer (APT) as an example, into two-pool (water and semisolid macromolecules) and three-pool (water, semisolid macromolecules, and amide protons) models. A variable radiofrequency saturation scheme was used to generate unique signal evolutions for different tissues, reflecting their CEST parameters. The proposed MRF-SPEM method was validated using Bloch-McConnell equation-based digital phantoms with known ground-truth, which showed that MRF-SPEM can achieve a high degree of accuracy and precision for absolute CEST parameter quantification and CEST phantoms. For in-vivo studies at 3?T, using the same model as in the simulations, synthetic Z-spectra were generated using rates and concentrations estimated from the MRF-SPEM reconstruction and compared with experimentally measured Z-spectra as the standard for optimization. The MRF-SPEM technique can provide rapid and quantitative human brain CEST mapping.

SUBMITTER: Heo HY 

PROVIDER: S-EPMC6422734 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

altmetric image

Publications

Quantifying amide proton exchange rate and concentration in chemical exchange saturation transfer imaging of the human brain.

Heo Hye-Young HY   Han Zheng Z   Jiang Shanshan S   Schär Michael M   van Zijl Peter C M PCM   Zhou Jinyuan J  

NeuroImage 20190114


Current chemical exchange saturation transfer (CEST) neuroimaging protocols typically acquire CEST-weighted images, and, as such, do not essentially provide quantitative proton-specific exchange rates (or brain pH) and concentrations. We developed a dictionary-free MR fingerprinting (MRF) technique to allow CEST parameter quantification with a reduced data set. This was accomplished by subgrouping proton exchange models (SPEM), taking amide proton transfer (APT) as an example, into two-pool (wat  ...[more]

Similar Datasets

| S-EPMC5723528 | biostudies-literature
| S-EPMC5744877 | biostudies-literature
| S-EPMC6592698 | biostudies-literature
| S-EPMC7317383 | biostudies-literature
| S-EPMC6411782 | biostudies-literature
| S-EPMC3632878 | biostudies-literature
| S-EPMC9511421 | biostudies-literature
| S-EPMC8489465 | biostudies-literature
| S-EPMC6414244 | biostudies-literature
| S-EPMC5107181 | biostudies-literature