Free Resources

Slice from the Visible Human dataset.

by Amber Simpson and Reuben R Shamir

We are lucky to live in the information era with easy access to a variety of clinical datasets and software packages. Researchers now have an enormous opportunity to impact patient care. We encourage members of our community to share with us your experiences regarding the usage of these datasets and software packages. Short reviews are welcome.

Below is a list of available resources provided by Dr. Ziv Yaniv, Sheikh Zayed Institute for Pediatric Surgical Innovation and Pierre Jannin, ISCAS President:

Dataset Organization Imaging Modalities
RIRE Vanderbilt University CT/MR, PET/MR
Laboratory of Imaging Technologies University of Ljubljana CT,MR
National Biomedical Imaging Archive NIH multiple
Mammographic Image Analysis Society MIAS mammography
The Visible Human Project NIH Cryosection, MRI and CT
Dicom Visual Human Data University of Iowa Cryosection, MRI and CT
The Virtual Population ITIS Foundation MRI
Internet Brain Segmentation Repository Harvard/MGH MRI
BrainWeb MNI, McGill MRI
The Cardiac Atlas Project NIH MRI
Image Retrieval in Medical Applications Institut für Medizinische Informatik annotated images
Brain Images of Tumors for Evaluation MNI, McGill MR, US
Open-CAS Karlsruhe Institute of Technology multiple
Osirix sample data OSIRIX CT/MRI
Open Access Series of Imaging Studies Harvard/WashU MRI
Give A Scan Lung Cancer Alliance CT with clinical data
MIDAS Kitware multiple
Cancer Imaging Archive NIH multiple
Digital Mammography University of Florida Mammography
Alzheimer’s Disease Neuroimaging Initiative UCLA multiple
SpineWeb Several MRI, CT
Truth Cube MGH/Boston CT
NIREP University of Iowa MR
STARE Clemson University color retina

Grand challenge data is also available.


Pierre Jannin, Validation in Medical Image Processing: Methodological Issues for Proper Quantification of Uncertainties, in Current Medical Imaging Reviews, 8 (4), pp. 322-330(9), 2012.

Resources for Research in Computer Assisted Surgery

Amber Simpson, PhD recently moved from Vanderbilt University to join the faculty at Memorial Sloan Kettering Cancer Center in New York, NY, USA. She is establishing her translational lab on image quantification and computer-aided surgery.

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