Faster, clearer SPECT scans to guide radiopharmaceutical cancer treatment

Torch Recon: An Innovative Reconstruction Software for Increased Throughput and Improved Low-Count Quantitative SPECT Imaging

NIH-funded research Voximetry, INC. · NIH-11194975

This project builds software that makes SPECT scans faster and clearer for people getting radiopharmaceutical cancer therapy.

Quick facts

Grant typeSbir 2 grant
Study typeNIH-funded research
Funding institutionVoximetry, INC. NIH-funded
Lab location1 site (Madison, United States)
Project IDNIH-11194975 on NIH RePORTER

What this research studies

From a patient's perspective, the team is creating software that rebuilds SPECT images using detailed physics simulations together with artificial intelligence to reduce noise and remove artifacts. The goal is to improve image quality especially when the scans have low signal, such as with certain radio‑therapies, and to speed up processing so results are available sooner. Better images could help doctors measure how much radiation organs and tumors receive and make more personalized treatment choices. The company will develop the algorithms and test them using simulated and clinical imaging data before broader clinical use.

Who could benefit from this research

Good fit: Ideal candidates are people receiving radiopharmaceutical (radioisotope) cancer treatments who have SPECT imaging for dose calculation or response monitoring.

Not a fit: Patients not receiving radiopharmaceutical therapy or those who do not get SPECT scans are unlikely to benefit directly from this work.

Why it matters

Potential benefit: If successful, the software could give clinicians clearer and faster SPECT images to better tailor radiopharmaceutical doses and track treatment response.

How similar studies have performed: Related research shows that both Monte Carlo physics modeling and AI can improve imaging, but combining them for clinical low‑count SPECT imaging is relatively new.

Where this research is happening

Madison, United States

Researchers

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 below.
Conditions Cancer Treatment
Last reviewed 2026-06-13 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.