Developing advanced tools to analyze anatomical shapes from medical images

Anatomy Directly from Imagery: General-purpose, Scalable, and Open-source Machine Learning Approaches

NIH-funded research University of Utah · NIH-10844342

This study is working on creating easy-to-use software that helps doctors and researchers better understand how the shapes of our body parts can affect health and disease, using detailed medical images to make their work simpler and more accurate.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionUniversity of Utah NIH-funded
Lab location1 site (Salt Lake City, United States)
Project IDNIH-10844342 on NIH RePORTER

What this research studies

This research focuses on improving the analysis of anatomical structures by utilizing high-resolution medical images and advanced computational techniques. It aims to create user-friendly software tools that can automatically model and analyze the shapes of various anatomical surfaces, making it easier for biomedical researchers to study the relationship between shape and function in health and disease. By leveraging statistical shape modeling, the project seeks to enhance our understanding of anatomical variability and its implications for medical conditions.

Who could benefit from this research

Good fit: Ideal candidates for this research are individuals undergoing imaging for conditions related to anatomical abnormalities, particularly in the brain and cardiovascular systems.

Not a fit: Patients with stable anatomical structures and no underlying health issues may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more accurate diagnoses and treatment plans by providing deeper insights into the anatomical changes associated with various diseases.

How similar studies have performed: Previous research has shown promise in using statistical shape modeling for anatomical analysis, indicating that this approach could lead to significant advancements in the field.

Where this research is happening

Salt Lake City, 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.
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.