A high-resolution probabilistic in vivo atlas of human subcortical brain nuclei
| Autor: | Pauli, Wolfgang M., Nili, Amanda N., Tyszka, J. Michael |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Statistics and Probability Data Descriptor Computer science Decision Image processing Library and Information Sciences Education 03 medical and health sciences Magnetic resonance imaging 0302 clinical medicine Reward Atlas (anatomy) Image Processing Computer-Assisted High spatial resolution medicine Humans Computer vision 030304 developmental biology Motivation 0303 health sciences medicine.diagnostic_test Extramural business.industry Probabilistic logic Brain Histology Pattern recognition Human brain Computer Science Applications 030104 developmental biology medicine.anatomical_structure Anatomical atlas Artificial intelligence Statistics Probability and Uncertainty business Neuroscience 030217 neurology & neurosurgery Information Systems |
| Zdroj: | Scientific Data |
| ISSN: | 2052-4463 |
| DOI: | 10.1038/sdata.2018.63 |
| Popis: | Recent advances in magnetic resonance imaging (MRI) methods, including data acquisition, pre-processing and analysis, have enabled research on the contributions of subcortical brain nuclei to human cognition and behavior. At the same time, these developments have led to an increasing need for a high-resolution probabilistic in-vivo anatomical atlas of subcortical nuclei. In order to fill this gap, we constructed high spatial resolution, three-dimensional templates, using joint high accuracy diffeomorphic registration of T1- and T2- weighted structural images from 168 typical adults between 22 and 35 years old. In these templates, many tissue boundaries are clearly visible, which would otherwise be impossible to delineate in data from individual studies. The resulting delineation provides a more accurate parcellation of subcortical nuclei than current histology-based atlases. We further created a companion library of software tools for atlas development, to offer an open and evolving resource for the creation of a crowd-sourced in-vivo probabilistic anatomical atlas of the human brain. |
| Databáze: | OpenAIRE |
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