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Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan
- Source :
- Neuroimage, NeuroImage, Vol 208, Iss, Pp 116450-(2020)
- Publication Year :
- 2019
-
Abstract
- As medical imaging enters its information era and presents rapidly increasing needs for big data analytics, robust pooling and harmonization of imaging data across diverse cohorts with varying acquisition protocols have become critical. We describe a comprehensive effort that merges and harmonizes a large-scale dataset of 10,477 structural brain MRI scans from participants without a known neurological or psychiatric disorder from 18 different studies that represent geographic diversity. We use this dataset and multi-atlas-based image processing methods to obtain a hierarchical partition of the brain from larger anatomical regions to individual cortical and deep structures and derive age trends of brain structure through the lifespan (3 to 96 years old). Critically, we present and validate a methodology for harmonizing this pooled dataset in the presence of nonlinear age trends. We provide a web-based visualization interface to generate and present the resulting age trends, enabling future studies of brain structure to compare their data with this reference of brain development and aging, and to examine deviations from ranges, potentially related to disease.
- Subjects :
- Male
Computer science
FreeSurfer
Datasets as Topic
Segmentation
0302 clinical medicine
Brain mri
Image Processing, Computer-Assisted
Multicenter Studies as Topic
Child
Aged, 80 and over
medicine.diagnostic_test
05 social sciences
ROI
Brain
Middle Aged
Magnetic Resonance Imaging
medicine.anatomical_structure
Neurology
Child, Preschool
Female
Cartography
MRI
Adult
Brain development
Adolescent
Cognitive Neuroscience
Image processing
Neuroimaging
050105 experimental psychology
Article
lcsh:RC321-571
White matter
03 medical and health sciences
Young Adult
Atlases as Topic
medicine
Medical imaging
Humans
0501 psychology and cognitive sciences
lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry
Aged
Reproducibility of Results
Magnetic resonance imaging
Visualization
MUSE
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 10959572
- Volume :
- 208
- Database :
- OpenAIRE
- Journal :
- NeuroImage
- Accession number :
- edsair.doi.dedup.....55d0d1fccf33a5ed63b727281aaa7daa