HICARE is an ERC proof of concept Project (project number 101113441) in which we investigated the clinical possibilities and imaging performance of IXSI in an interventional cardiology setting. The idea is that after PCI (percutaneous coronary intervention), direct perfusion evaluation using the hybrid C-arm could give direct feedback on the clinical success of the intervention.
For this project Experimental and Simulated datasets will be made available to other researchers upon request, along with basic documentation explaining their structure and usage. To minimize storage requirements and reduce environmental impact, data will not be made openly available by default. If certain datasets cannot be shared due to confidentiality, legal restrictions, or other factors, the reasons will be clearly communicated.
Software tools or scripts necessary to read and process the data will also be provided upon request, ensuring accessibility without requiring specialized tools. Researchers can request access to the data or associated materials by contacting the project team via email. Email contact details will be included in related publications or shared upon inquiry. For long-term preservation, data will be stored in a secure internal repository, and further storage solutions will be evaluated based on future needs.
Please send an email to M.M.A.Dietze@umcutrecht.nl
List of available data sets:
- Cardiac phantom with simulated defect – this is the main dataset related to the HICARE project in which the performance of the IXSI scanner is evaluated in the context of cardiac imaging
- Scintigraphy, fluoroscopy, SPECT, and CBCT data (~50 GB)
- NEMA image quality phantom – this dataset can be used to determine the image quality of the IXSI scanner primarily for the nuclear imaging part
- SPECT and CBCT data (10 datasets of 5 GB each)
- Anthropomorphic torso phantom with liver activity – this phantom is representative of situations in hepatic radioembolization which is the most studied application for the IXSI scanner
- SPECT and CBCT data (10 GB)