NIH-funded research NIH-funded research

End-to-End X-ray Imaging Simulation Toolkit for Cancer Imaging and AI Training

Official title: End-to-End X-ray-based Cancer Imaging Simulation Toolkit for Technology Evaluation, AI Training, and Virtual Imaging Clinical Trials

Funded at Ge Medical Systems Information Technologies, INC · NIH-11110587 · Data updated 2026-11-12

A U24 grant supports building and expanding an open, vendor-neutral toolkit that simulates X-ray/CT imaging for cancer, helping researchers train AI and run virtual imaging trials.

Quick facts

Grant typeNIH-funded research
Study typeNIH-funded research
Funding institutionGe Medical Systems Information Technologies, INC
NIH-funded
Lab location1 site (Niskayuna, United States)
Project startSeptember 15, 2026
Project endAugust 31, 2031
Funding year2026
Award (this year)$877,067
NIH project number1U24CA288773-01A1
Project IDNIH-11110587 on NIH RePORTER

Who could benefit from this research

Could help

Patients could participate indirectly via improved imaging technologies and data used to train AI models for cancer detection and assessment.

Less likely to help

Patients who do not undergo cancer imaging may not directly benefit from this project.

What this research studies

This project builds next-generation X-ray and CT imaging simulations to speed up the development of new cancer imaging technologies. It provides realistic patient and tumor models, physics for advanced CT techniques, and tools to generate training data for AI models. By enabling virtual imaging trials, it can reduce reliance on costly real-world studies and accelerate translation of new imaging methods to clinics. The toolkit is open-source and designed to be used by researchers across academia and industry.

Why it matters

Potential benefit: If successful, patients could benefit from faster access to improved cancer imaging techniques and more efficient development of AI tools that aid detection and characterization.

How similar studies have gone: Open-source imaging toolkits and virtual trials have shown promise in speeding research and enabling broader collaboration.

Where this research is happening

  • Ge Medical Systems Information Technologies, INC
    Niskayuna, United States
    Active

Researchers

  • Principal investigator: De Man, Bruno K — Ge Medical Systems Information Technologies, INC
  • Study coordinator: De Man, Bruno K

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About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.