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| Item Type: | Preprint |
|---|---|
| Title: | A quantitative multi-parameter mapping protocol standardized for clinical research in autoimmune neuroinflammatory diseases with white matter abnormalities |
| Creators Name: | Trang, H., Hartung, T., Chen, Q., Hetzer, S., Chien, C., Sperber, P.S., Schmitz-Hübsch, T., Asseyer, S., Rust, R., Mewes, D., Anderhalten, L.C., Sy, M., Brandt, A.U., Finke, C. and Paul, F. |
| Abstract: | Quantitative magnetic resonance imaging (qMRI) involves mapping microstructure in standardized units sensitive to histological properties and supplements conventional MRI, which relies on contrast weighted images where intensities have no biophysical meaning. While measuring tissue properties such as myelin, iron or water content is desired in a disease context, qMRI changes may typically reflect mixed influences from aging or pre-clinical degeneration. We used a fast multi-parameter mapping (MPM) protocol for clinical routine at 3T to reconstruct whole-brain quantitative maps of magnetization transfer saturation (MT), proton density (PD), longitudinal (R1), and transverse relaxation rate (R2*) with 1.6 mm isotropic resolution. We report reference MPM values from a healthy population with age and gender distributions typical of neuroimmunology studies in whole brain white matter (WM), T2-weighted WM hyperintensities, cortical grey matter and deep grey matter regions and present post-processing optimizations including integration of lesions and normalization of PD maps against cerebrospinal fluid (CSF) for standardized research in multiple sclerosis (MS) and related disorders. PD maps were affected by WM abnormalities in MS using WM calibration. The results acknowledge the impact of non-linear age effects on MPM and suggest using CSF calibration for future clinical application in autoimmune neuroinflammatory diseases with WM abnormalities. |
| Keywords: | Quantitative MRI, Multi-Parameter Mapping, Neuroimaging, Multiple Sclerosis, Aging, Proton Density |
| Source: | medRxiv |
| Publisher: | Cold Spring Harbor Laboratory Press |
| Article Number: | 2024.10.07.24315008 |
| Date: | 7 October 2024 |
| Official Publication: | https://doi.org/10.1101/2024.10.07.24315008 |
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