Sample Datasets for Perfusion MRI
This page provides links to publicly available contrast-agent based perfusion MRI datasets that can be used for research, development, and validation of analysis methods.
Overview
Sample datasets are essential resources for: - Developing and validating new analysis methods - Benchmarking different software tools - Reproducing published results - Training and education - Harmonizing acquisition and analysis protocols across sites
Available Datasets
QIN Breast DCE-MRI Dataset
Provider: Cancer Imaging Archive (TCIA), Quantitative Imaging Network (QIN)
Access: TCIA QIN Breast DCE-MRI
Description: Multisite, multivendor breast DCE-MRI data with associated clinical data. Includes pre-treatment and early-treatment images for monitoring response to neoadjuvant chemotherapy.
RIDER Neuro MRI Dataset
Provider: Cancer Imaging Archive (TCIA)
Access: TCIA RIDER Neuro MRI
Description: DCE-MRI and DSC-MRI scans of brain tumors with test-retest data for reproducibility assessment.
SPIE-AAPM-NCI PROSTATEx Challenge
Provider: Cancer Imaging Archive (TCIA)
Access: PROSTATEx
Description: Multiparametric MRI of the prostate including DCE-MRI sequences. Includes expert annotations for lesion classification.
Perfusion Training Dataset
Provider: OSIPI Task Force 4.1
Access: OSIPI Perfusion Training Dataset
Description: Standardized DCE-MRI and DSC-MRI datasets with known ground truth values, specifically curated for training and educational purposes.
DCE MRI Phantom Dataset
Provider: National Institute of Standards and Technology (NIST)
Access: NIST Quantitative MRI
Description: Phantom data for testing and validating DCE-MRI quantification methods with controlled conditions and known T1 values.
KISSDB (Kantonsspital St. Gallen Brain Dataset)
Provider: Kantonsspital St. Gallen, Switzerland
Access: KISSDB Website
Description: DSC-MRI brain perfusion dataset with manual segmentation of stroke lesions and tissue types.
Dataset Specifications
| Dataset | Modality | Anatomy | # of Subjects | Field Strength | Temporal Resolution | AIF Available |
|---|---|---|---|---|---|---|
| QIN Breast | DCE-MRI | Breast | 67 | 1.5T, 3T | Variable | Yes (some) |
| RIDER Neuro | DCE/DSC | Brain | 19 | 1.5T, 3T | 5-6s | Yes |
| PROSTATEx | DCE-MRI | Prostate | 204 | 3T | 3.5-5s | No |
| OSIPI Training | DCE/DSC | Various | 20 | 1.5T, 3T | Variable | Yes |
| NIST Phantom | DCE-MRI | Phantom | N/A | 1.5T, 3T | Variable | N/A |
| KISSDB | DSC-MRI | Brain | 151 | 1.5T | 1-2s | Yes |
How to Use These Datasets
- Registration: Most datasets require user registration and agreement to data use terms
- Download: Follow the provider's instructions for downloading the data
- Format conversion: You may need to convert data to formats compatible with your analysis tools
- Documentation: Review the accompanying documentation for acquisition parameters and other metadata
- Citation: Always cite the dataset in your publications according to the provider's guidelines
Contributing
If you have a publicly available perfusion MRI dataset that you would like to add to this list, please see our contribution guidelines.
References
- Kalpathy-Cramer J, et al. Quantitative Imaging Network: Data Sharing and Competitive Algorithm Validation Leveraging The Cancer Imaging Archive. Transl Oncol. 2014;7(1):147-52.
- Shukla-Dave A, et al. Quantitative Imaging Biomarkers Alliance (QIBA) recommendations for improved precision of DWI and DCE-MRI derived biomarkers in multicenter oncology trials. J Magn Reson Imaging. 2019;49(7):e101-e121.
- Huang W, et al. Variations of dynamic contrast-enhanced magnetic resonance imaging in evaluation of breast cancer therapy response: a multicenter data analysis challenge. Transl Oncol. 2014;7(1):153-66.