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Multimodal datasets (clinical, imaging, molecular, etc.) Descriptive, numerical, imaging, molecular, genetics Neurodevelopmental, Cerebral Palsy, Epilepsy, Depression, Neurodegeneration, Concussion Yes [7] Brain-Development.org Structural MRI images and Atlases Human Macroscopic MRI datasets Fetuses, healthy and prematurely born neonates Yes [8]
The Brain Imaging Data Structure (BIDS) is a standard for organizing, annotating, and describing data collected during neuroimaging experiments. It is based on a formalized file and directory structure and metadata files (based on JSON and TSV ) with controlled vocabulary . [ 1 ]
Diffusion Imaging in Python (DIPY) [1] DL+DiReCT [2] EEGLAB; FMRIB Software Library (FSL) FreeSurfer; Computational anatomy toolbox; Imaris Imaris for Neuroscientists; ISAS (Ictal-Interictal SPECT Analysis by SPM) LONI Pipeline, Laboratory of Neuro Imaging, USC; Lead-DBS; Mango [3] NITRC The Neuroimaging Informatics Tools and Resources ...
The first MR images of a human brain were obtained in 1978 by two groups of researchers at EMI Laboratories led by Ian Robert Young and Hugh Clow. [1] In 1986, Charles L. Dumoulin and Howard R. Hart at General Electric developed MR angiography, [2] and Denis Le Bihan obtained the first images and later patented diffusion MRI. [3]
FreeSurfer contains a set of programs with a common focus of analyzing magnetic resonance imaging (MRI) scans of brain tissue. It is an important tool in functional brain mapping and contains tools to conduct both volume based and surface based analysis. [4]
The FMRIB Software Library, abbreviated FSL, is a software library containing image analysis and statistical tools for functional, structural and diffusion MRI brain imaging data. FSL is available as both precompiled binaries and source code for Apple and PC computers. It is freely available for non-commercial use.
Qualified researchers worldwide can access image and clinical data sets that have undergone quality control procedures. To date nearly 1800 applications for data use have been received from investigators in multiple disciplines, and over 7 million brain scan images and clinical data sets have been downloaded. [9]
The Visible Human Project is an effort to create a detailed data set of cross-sectional photographs of the human body, in order to facilitate anatomy visualization applications. It is used as a tool for the progression of medical findings, in which these findings link anatomy to its audiences. [ 1 ]
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