Open-Access Medical Image Repositories

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Sites that list and/or host multiple collections of data:

  • RSNA's Quantitative Imaging Data Warehouse (QIDW)

  • Database of high-quality, tracked ultrasound images of phantoms

        • "a database of tracked sequences of US images from medical phantoms acquired with a methodology that ensures the spatial and force control of the US probe along prescribed trajectories by using a robotic arm and an optical tracking system." (Abdominal and baby phantoms)

  • NLM's MedPix database

      • A free online Medical Image Database with over 59,000 indexed and curated images, from over 12,000 patients

  • GrepMed

      • Image Based Medical Reference: "Find Algorithms, Decision Aids, Checklists, Guidelines, Differentials, Point of Care Ultrasound (POCUS), Physical Exam clips and more"


      • Cross-sectional MRI Data in Young, Middle Aged, Nondemented and Demented Older Adults

      • Longitudinal MRI Data in Nondemented and Demented Older Adults

  • ADNI

      • Alzheimer’s Disease Neuroimaging Initiative (ADNI) unites researchers with study data as they work to define the progression of Alzheimer’s disease. ADNI researchers collect, validate and utilize data such as MRI and PET images, genetics, cognitive tests, CSF and blood biomarkers as predictors for the disease.


      • The Federal Interagency Traumatic Brain Injury Research (FITBIR) informatics system: MRI, PET, Contrast, and other data on a range of TBI conditions


      • Structured Analysis of the Retina: This research concerns a system to automatically diagnose diseases of the human eye.

  • Cancer Digital Slide Archive

      • Whole-slide images from The Cancer Genome Atlas's (TCGA) glioblastoma multiforme (GBM) samples

  • SICAS Medical Image Repository

      • Post mortem CT of 50 subjects

      • CT, microCT, segmentation, and models of Cochlea

      • Copies of select challenge data (e.g., BRATS2015)

  • Johns Hopkins Medical Institute's DTI collection

      • DTI Atlases: adults, children, ...

  • Medical Imaging and Data Resource Center (MIDRC)

      • A joint effort between the American College of Radiology (ACR), the Radiological Society of North America (RSNA), and the American Association of Physicists in Medicine (AAPM)

  • Duke Center for In Vivo Microscopy

      • Small animal MRI, CT, ...

  • Data.Kitware.Com

        • Images and datasets from a wide variety of scientific computing (including medical imaging) domains

  • MIDAS @ Kitware.Com

        • Collection of mainly historic data from the development of 3D Slicer, the NAMIC group, and the NLM.

        • NAMIC Data

          • National Alliance for Medical Image Computing

        • NLM Data

          • Data designed for medical image segmentation and registration algorithm evaluation

  • UCI Machine Learning Repository

      • The father of internet data archives for all forms of machine learning.

Data for registration method development and evaluation:

Simulated and phantom data available for public use:

Data from computer-aided diagnosis (CAD) competitions (some are available for public use):

    • Kaggle

        • Commercial grand challenges


        • Portal for 100's of grand challenges in medical imaging:

        • Most run by academia and featured at international conferences

        • For example,

          • CAUSE07: Segment the caudate nucleus from brain MRI.

          • BIOCHANGE 2008 PILOT: Measure changes.

          • MS lesion segmentation challenge 08 Segment brain lesions from MRI.

          • Liver Tumor Segmentation 08 Segment liver lesions from contrast enhanced CT.

          • EXACT09: Extract airways from CT data.

          • ANODE09: Detect lung lesions from CT.

          • VOLCANO09: Quantify changes in pulmonary nodules.

          • Coronary Artery Algorithm Evaluation Framework: Extract coronary artery centerlines from CTA data.

          • ROC-Retinopathy Online Challenge: Detect microaneurysms for diabetic retinopathy screening.

    • CodaLab

        • Portal for grand challenges in machine learning from Microsoft

    • RSNA AI Challenges

        • 2017: Pediatric bone age

        • 2018: Pneumonia

        • 2019: Intracranial hemorrhage

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