Improving brain MRI images using advanced software

Automated enhancement and correction of brain MRI images that leverages the entire imaging exam

['FUNDING_SBIR_2'] · SUBTLE MEDICAL, INC. · NIH-10951007

This study is creating a helpful software tool that makes brain MRI images clearer and more complete, so patients can get more accurate results and better treatment options.

Quick facts

Phase['FUNDING_SBIR_2']
Study typeNih_funding
SexAll
SponsorSUBTLE MEDICAL, INC. (nih funded)
Locations1 site (MENLO PARK, UNITED STATES)
Trial IDNIH-10951007 on ClinicalTrials.gov

What this research studies

This research aims to develop a software tool that enhances brain MRI images by correcting errors and filling in missing data. Using advanced machine learning techniques, the software will integrate into existing radiology workflows to identify and rectify issues such as motion artifacts and incomplete scans. By ensuring that all necessary MRI acquisitions are complete and of high quality, this tool seeks to improve the overall diagnostic process for brain imaging. Patients can expect that their MRI results will be more accurate and reliable, leading to better-informed treatment decisions.

Who could benefit from this research

Good fit: Ideal candidates for this research are individuals undergoing brain MRI scans who may benefit from enhanced imaging quality.

Not a fit: Patients who have already received brain MRI scans that are not subject to enhancement or correction may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more accurate brain MRI results, improving patient care and treatment outcomes.

How similar studies have performed: Other research has shown success in using machine learning for image enhancement, indicating a promising approach in this area.

Where this research is happening

MENLO PARK, 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.

View on NIH RePORTER →

Last reviewed 2026-05-15 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.