Medical imaging plays a crucial role in cancer detection, diagnosis, staging, treatment planning and therapy re- sponse monitoring. We propose to develop and disseminate a realistic X-ray-based Cancer Imaging Simulation Toolkit (XCIST). This toolkit could dramatically accelerate research related to cancer imaging and radiation dose reduction. This proposal builds on prior software development by three experienced teams with a long his- tory of collaboration. Drawing on each team's specific capabilities, we will create an integrated software toolkit hosted in an open-source environment. The toolkit will include GE Global Research's X-ray and CT imaging models and dose estimation models, Duke University's realistic digital representations of patients and tumors, and the University of Massachusetts Lowell's state-of-the-art image reconstruction implementations.

Public Health Relevance

We will develop and disseminate an open-source, realistic X-ray-based Cancer Imaging Simulation Toolkit (XCIST), including X-ray and CT system models, realistic tumor phantoms, and state-of-the-art image recon- struction algorithms.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01CA231860-02
Application #
9913492
Study Section
Special Emphasis Panel (ZCA1)
Program Officer
Redmond, George O
Project Start
2019-04-11
Project End
2022-03-31
Budget Start
2020-04-01
Budget End
2021-03-31
Support Year
2
Fiscal Year
2020
Total Cost
Indirect Cost
Name
General Electric Global Research Center
Department
Type
DUNS #
086188401
City
Niskayuna
State
NY
Country
United States
Zip Code
12309