# Open-access X-ray and CT simulation toolkit for research in cancer imaging and dosimetry

> **NIH NIH U01** · GENERAL ELECTRIC GLOBAL RESEARCH CTR · 2021 · $505,398

## Abstract

PROJECT SUMMARY/ABSTRACT
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.

## Key facts

- **NIH application ID:** 10119263
- **Project number:** 5U01CA231860-03
- **Recipient organization:** GENERAL ELECTRIC GLOBAL RESEARCH CTR
- **Principal Investigator:** Bruno K De Man
- **Activity code:** U01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $505,398
- **Award type:** 5
- **Project period:** 2019-04-11 → 2023-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10119263

## Citation

> US National Institutes of Health, RePORTER application 10119263, Open-access X-ray and CT simulation toolkit for research in cancer imaging and dosimetry (5U01CA231860-03). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10119263. Licensed CC0.

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