This Project Grant award from the National Institute of Biomedical Imaging and Bioengineering (NIBIB), under the CFDA 93.286 "Discovery and Applied Research for Technological Innovations to Improve Human Health" program, provides $641,063 to develop a dynamic, customizable, vendor-neutral patient projection data library and virtual imaging trial (VIT) software platform (DICOM-CTPD-VIT). This platform will enable the generation of a diverse range of imaging conditions, including radiation dose, reconstruction parameters, and lesion characteristics, to facilitate automated image quality and diagnostic performance evaluation of deep learning reconstruction and noise reduction algorithms in CT imaging. The goal is to create a resource that allows for effective development and safe implementation of these AI-based algorithms in clinical practice, while also having potential to generate an unlimited number of cases with ground truth for training and evaluating other AI-based diagnostic tools. The award has a project period from Aug 1, 2025 to May 31, 2029.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $641.1k | 7/23/25 |