Normative quantitative relaxation atlases for characterization of cortical regions using magnetic resonance fingerprinting.
Quantitative magnetic resonance (MR) has been used to study cyto- and myelo-architecture of the human brain non-invasively. However, analyzing brain cortex using high-resolution quantitative MR acquisition can be challenging to perform using 3T clinical scanners. MR fingerprinting (MRF) is a highly efficient and clinically feasible quantitative MR technique that simultaneously provides T1 and T2 relaxation maps. Using 3D MRF from 40 healthy subjects (mean age = 25.6 ± 4.3 years) scanned on 3T magnetic resonance imaging, we generated whole-brain gyral-based normative MR relaxation atlases and investigated cortical-region-based T1 and T2 variations. Gender and age dependency of T1 and T2 variations were additionally analyzed. The coefficient of variation of T1 and T2 for each cortical-region was 3.5% and 7.3%, respectively, supporting low variability of MRF measurements across subjects. Significant differences in T1 and T2 were identified among 34 brain regions (P < 0.001), lower in the precentral, postcentral, paracentral lobule, transverse temporal, lateral occipital, and cingulate areas, which contain sensorimotor, auditory, visual, and limbic functions. Significant correlations were identified between age and T1 and T2 values. This study established whole-brain MRF T1 and T2 atlases of healthy subjects using a clinical 3T scanner, which can provide a quantitative and region-specific baseline for future brain studies and pathology detection.
Duke Scholars
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- Young Adult
- Phantoms, Imaging
- Magnetic Resonance Spectroscopy
- Magnetic Resonance Imaging
- Infant
- Image Processing, Computer-Assisted
- Humans
- Healthy Volunteers
- Experimental Psychology
- Brain
Citation
Published In
DOI
EISSN
Publication Date
Volume
Issue
Start / End Page
Location
Related Subject Headings
- Young Adult
- Phantoms, Imaging
- Magnetic Resonance Spectroscopy
- Magnetic Resonance Imaging
- Infant
- Image Processing, Computer-Assisted
- Humans
- Healthy Volunteers
- Experimental Psychology
- Brain