1. Quantitative T1 mapping of the normal brain from early infancy to adulthood
- Author
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Andreas Merkenschlager, Jens Frahm, Daniel Gräfe, Dirk Voit, and Franz Wolfgang Hirsch
- Subjects
Adult ,Adolescents ,030218 nuclear medicine & medical imaging ,White matter ,Magnet resonance imaging ,03 medical and health sciences ,0302 clinical medicine ,Nuclear magnetic resonance ,Normal values ,High spatial resolution ,Humans ,Medicine ,Radiology, Nuclear Medicine and imaging ,Gray Matter ,Child ,Children ,Neuroradiology ,Brain Mapping ,Relaxation (psychology) ,business.industry ,Spin–lattice relaxation ,Brain ,Infant ,T1 mapping ,Early infancy ,Magnetic Resonance Imaging ,White Matter ,Confidence interval ,Regression ,medicine.anatomical_structure ,Pediatrics, Perinatology and Child Health ,Original Article ,business ,030217 neurology & neurosurgery - Abstract
Background Quantitative mapping of MRI relaxation times is expected to uncover pathological processes in the brain more subtly than standard MRI techniques with weighted contrasts. So far, however, most mapping techniques suffer from a long measuring time, low spatial resolution or even sensitivity to magnetic field inhomogeneity. Objective To obtain T1 relaxation times of the normal brain from early infancy to adulthood using a novel technique for fast and accurate T1 mapping at high spatial resolution. Materials and methods We performed whole-brain T1 mapping within less than 3 min in 100 patients between 2 months and 18 years of age with normal brain at a field strength of 3 T. We analyzed T1 relaxation times in several gray-matter nuclei and white matter. Subsequently, we derived regression equations for mean value and confidence interval. Results T1 relaxation times of the pediatric brain rapidly decrease in all regions within the first 3 years of age, followed by a significantly weaker decrease until adulthood. These characteristics are more pronounced in white matter than in deep gray matter. Conclusion Regardless of age, quantitative T1 mapping of the pediatric brain is feasible in clinical practice. Normal age-dependent values should contribute to improved discrimination of subtle intracerebral alterations.
- Published
- 2020
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