A new software to improve SPECT imaging for personalized cancer treatment
Official title: Torch Recon: An Innovative Reconstruction Software for Increased Throughput and Improved Low-Count Quantitative SPECT Imaging
Funded at Voximetry, INC. · NIH-10922106 · Data updated 2026-11-12
This study is testing a new software called Torch Recon that helps make SPECT imaging clearer and more accurate, so patients with cancer can get better treatment plans based on their individual needs.
Quick facts
| Grant type | Sbir 2 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Voximetry, INC. NIH-funded |
| Lab location | 1 site (Madison, United States) |
| Project start | September 19, 2024 |
| Project end | August 31, 2026 |
| Funding year | 2024 |
| Award (this year) | $1,003,632 |
| NIH project number | 1R44CA291564-01 |
| Project ID | NIH-10922106 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are patients undergoing radiopharmaceutical therapy who require accurate imaging for treatment assessment.
✕Less likely to help
Patients who are not undergoing radiopharmaceutical therapy or do not require SPECT imaging may not benefit from this research.
What this research studies
This research focuses on developing Torch Recon, an innovative software designed to enhance single-photon emission computed tomography (SPECT) imaging, which is crucial for personalized cancer treatment. By combining Monte Carlo simulation and deep learning techniques, the software aims to improve image quality, reduce noise, and correct artifacts that often hinder traditional imaging methods. Patients can benefit from more accurate imaging that allows for better assessment of treatment responses and personalized therapy plans. The approach leverages large datasets to train algorithms that enhance the clarity and detail of SPECT images, making them more informative for clinicians.
Why it matters
Potential benefit: If successful, this research could lead to more precise imaging techniques that improve treatment personalization and outcomes for cancer patients.
How similar studies have gone: Previous research has shown promise in using advanced imaging techniques and AI to enhance diagnostic accuracy, indicating that this approach could be successful.
Where this research is happening
-
Voximetry, INC.
Madison, United States Active
Researchers
- Principal investigator: Grudzinski, Joseph — Voximetry, INC.
- Study coordinator: Grudzinski, Joseph
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.