Our data are publicly accessible, in order to promote search in medical image processing and analysis. 

Our primary databases are possible through collaborative efforts in:

  • Diffusion Tensor Imaging
  • Image Analysis of Functional Anatomy
  • Kirby 21: Multi-Modal MRI Reproducibility

DTI Datasets

Developed by the Laboratory of Brain Anatomical MRI, these datasets show DTI data and three-dimensional fiber trajectories:

  • Human Brain Atlas 
    These atlases were developed from coronal, sagittal, and axial slices. The CMRM also has a human atlas template, a mouse atlas, a monkey atlas, and a CT-MRI atlas.
  • DTI Database 
    This in vivo human database, acquired under the Human Brain Project and the National Research Resource Center grant, contains raw and processed DTI data of the normal population. It is a public database, open to registered users. Its purpose is to facilitate research in DTI data processing and analysis, to study specific biological interests, or to be used as control data. Basic imaging parameters can also be downloaded. Detailed parameters are available upon request.
  • Developmental DTI Database 
    Coming soon!

Functional Anatomy Datasets

Developed by the Center for Imaging Science at Johns Hopkins University, these datasets show analyzed biological images.

  • CIS Datasets 
    These biological images have registered several subvolumes and display functional segmentation.

Kirby 21: A Multi-Modal MRI Reproducibility Resource

This project, which showcases many state-of-the-art sequences at the Kirby Center, was spearheaded by Dr. Bennett Landman, while he was a Research Professor at Johns Hopkins University. He now runs the Medical-image Analysis and Statistical Interpretation Lab at Vanderbilt University. 

This database consists of scan-rescan imaging sessions on 21 healthy volunteers (no history of neurological disease). All data have been converted to NIFTI format and will be publicly released at the earliest opportunity. This is intended to be a resource for statisticians and imaging scientists to be able to quantify the reproducibility of their imaging methods using data available from a generic "one hour" session at 3T.