Quantitative multislice and jointly optimized rapid CEST for in vivo whole-brain imaging.

ABSTRACT:

Purpose

To develop a quantitative multislice chemical exchange saturation transfer (CEST) schedule optimization and pulse sequence that reduces the loss of sensitivity inherent to multislice sequences.

Methods

A deep learning framework was developed for simultaneous optimization of scan parameters and slice order. The optimized sequence was tested in numerical simulations against a random schedule and an optimized single-slice schedule. The scan efficiency of each schedule was quantified. Three healthy subjects were scanned with the proposed sequence. Regions of interest in white matter (WM) and gray matter (GM) were defined. The sequence was compared with the single-slice sequence in vivo and differences quantified using Bland-Altman plots. Test-retest reproducibility was a

SUBMITTER: Cohen O 

PROVIDER: S-EPMC12137757 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature