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Quantitative T1 mapping of the normal brain from early infancy to adulthood
- Source :
- Pediatric Radiology
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
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.
- 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
Subjects
Details
- ISSN :
- 14321998 and 03010449
- Volume :
- 51
- Database :
- OpenAIRE
- Journal :
- Pediatric Radiology
- Accession number :
- edsair.doi.dedup.....61feb6d1120a8bc3ec9a4aef1b33f496
- Full Text :
- https://doi.org/10.1007/s00247-020-04842-7