期刊
NEUROIMAGE
卷 208, 期 -, 页码 -出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2019.116450
关键词
MRI; Segmentation; FreeSurfer; MUSE; Brain; ROI
资金
- National Institute on Aging [1RF1AG054409, AG010124, R01AG055005]
- National Institute of Mental Health [5R01MH112070, R01MH120482, R01MH112847, R01MH113565]
- National Institutes of Health [75N95019C00022, R01HL127659-04S1]
- Allen H. and Selma W. Berkman Charitable Trust (Accelerating Research on Vascular Dementia)
- National Multiple Sclerosis Society [RG170728586]
- National Institute of Neurological Disorders and Stroke [R01NS060910]
- National Heart, Lung, and Blood Institute (NHLBI) [HHSN268201800003I, HHSN268201800004I, HHSN268201800005I, HHSN268201800006I, HHSN268201800007I]
- Intramural Research Program of the National Institute on Aging (NIA)
- NIA [AG0005]
- NHLBI [AG0005]
- Intramural Research Program, National Institute on Aging, NIH
- Science and Industry Endowment Fund
- Dementia Collaborative Research Centres
- McCusker Alzheimer's Research Foundation
- National Health and Medical Research Council (AUS)
- Yulgilbar Foundation
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 (3-96 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.
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