CEST MRI Processing Pipeline in Pilot Study of Alzheimer's Disease Patients.

PURPOSE: To develop a processing pipeline combining neuroimaging analysis tools with CEST postprocessing and utilize it in a pilot study probing differences between cognitively impaired (CI) Alzheimer's disease (AD) patients and cognitively normal (CN) individuals. METHODS: Eight subjects (4 biomarker confirmed CI with underlying AD and 4 CN) were scanned on a 3T MRI scanner. The processing pipeline included rigid motion correction and co-registration of the CEST images with the 3D T1w images using Advanced Normalization Tools (ANTs). MTRasym maps at 1 ppm, 2 ppm and 3.5 ppm were generated on a voxel-by-voxel basis. Each subject's 3D T1w images were processed with FreeSurfer to generate brain region specific ROIs, and the MTRasym values were averaged over the generated ROIs. In addition, a 6-pool Lorentzian multi-peak model was fitted to averaged Z-spectrum data per ROI. Between-group (CI vs. CN) CEST effects were evaluated using Mann-Whitney U tests. RESULTS: Motion correction reduced artifacts and visually improved CEST results. Multiple cortical and white matter ROIs showed differences in MTRasym values between CI and CN groups (p < 0.05). Overall, the mean MTRasym and Lorentzian amplitudes were lower in the CI than in the CN group. CONCLUSION: Our proposed pipeline enables robust data analysis using either MTRasym or multi-pool Lorentzian quantification approaches. The results suggest feasibility for detecting CEST differences between CI and CN groups in brain regions previously implicated in AD, motivating future validation in larger cohorts.