Open-Access Medical Image Repositories
If you would like to add a database to this list or if you find a broken link, please email <stephen@aylward.org>.
Sites that list and/or host multiple collections of data:
NIH Database of 100,000 Chest X-Rays
Images, associated clinical data, annotations, and diagnoses
The Cancer Imaging Archive (TCIA)
Formerly the National Biomedical Imaging Archive (NBIA):
Lung Image Database Consortium (LIDC)
Reference Image Database to Evaluate Response (RIDER)
Breast MRI
Lung PET/CT
Neuro MRI
CT Colonography
Virtual Colonoscopy
Osteoarthritis Initiative (MIA)
PET/CT phantom scan collection
National Institute for Mental Health's (NIMH's) OpenNeuro.org
BIDS compliant MRI, PET, MEG, EEG, and iEEG data
Includes data from healthy volunteers (See release notes)
RSNA's Quantitative Imaging Data Warehouse (QIDW)
Contains COVID CT
Data from phantoms, simulated data
Misc. clinical data
Includes links to data de-identification tools
NCI's Imaging Data Commons and Genomic Data Commons
DICOM formatted clinical data and annotations for AI/Cloud
Extension to and contains reformatted data from TCIA
Part of the larger NCI Cancer Research Data Commons effort
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)
A free online Medical Image Database with over 59,000 indexed and curated images, from over 12,000 patients
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
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.
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, ...
Images and datasets from a wide variety of scientific computing (including medical imaging) domains
For example,
Liver tumors with segmentations
Human Carotid
BrainWeb
100 Healthy Brain MRIs: 18-90 years old
Age and gender balanced collection
MRA, T1, T2, and some DTI
Intracranial vessels extracted from select patients.
Collection of mainly historic data from the development of 3D Slicer, the NAMIC group, and the NLM.
National Alliance for Medical Image Computing
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.
Stanford AI in Medicine Database
Mix of X-ray, CT, and MRI of chest, hands, etc.
MIT Intensive Care Unit Admissions (MIMIC)
60,000 deidentified health data records
Computer Vision Online Image Archive
Large listing of multiple databases in computer vision and biomedical imaging
Cornell Visualization and Image Analysis (VIA) group
Provides a list of available databases, many of which are also listed here.
Medical Image Databases & Libraries
Digital Database for Screening Mammography (DDSM)
Large collection with normal and abnormal findings and ground truth.
Digital Retinal Images for Vessel Extraction (DRIVE)
Digital images and expert segmentations of retinal vessels.
Japanese Society of Radiological Technology (JSRT) Database
Digital Chest X-ray images with lung nodule locations, ground truth, and controls.
Segmentation in Chest Radiographs (SCR) database
Digital Chest X-ray images with segmentations of lung fields, heart, and clavicles.
Public Lung Database to Address Drug Response
Well documented chest CT images.
Mammographic Image Analysis Society (mini-MIAS) Database
Mammographic images and markup.
Standard Diabetic Retinopathy Database (DIARETDB1)
Digital retinal images for detecting and quantifying diabetic retinopathy.
SpineWeb is an online collaborative platform for everyone interested in research on spinal imaging and image analysis.
MR data of Hips, knees and other sites affected by osteoarthritis
MR brain
3D craniofacial surface measurements
NIH-funded datasets.
For example, from UNC see https://www.synapse.org/#!Synapse:syn4152456
Collection of files intended for 3D printing, but includes volumetric medical scans (i.e., CT and MRI in NRRD format) for a variety of anatomic structures (bones, muscles, vessels).
For example, see
Data for registration method development and evaluation:
Simulated and phantom data available for public use:
Simulated brain MR database.
Free AI-generated photos for academic research
Free Human Anatomy Images and Pictures
Data from computer-aided diagnosis (CAD) competitions (some are available for public use):
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.
Portal for grand challenges in machine learning from Microsoft
2017: Pediatric bone age
2018: Pneumonia
2019: Intracranial hemorrhage
Search tools:
Google launched Dataset Search, "so that scientists, data journalists, data geeks, or anyone else can find the data required for their work and their stories, or simply to satisfy their intellectual curiosity."