4D heart and vessel imaging using AI to analyze standard chest scans
Official title: Anatomic Imaging Derived 4D Hemodynamics using Deep Learning
Funded at Third Coast Dynamics, INC. · NIH-11403868 · Data updated 2026-11-12
A cloud-based AI tool aims to derive 4D blood-flow information from routine chest MRI scans to help monitor thoracic aortic aneurysm more accurately.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Third Coast Dynamics, INC. NIH-funded |
| Lab location | 1 site (Evanston, United States) |
| Project start | September 16, 2024 |
| Project end | August 31, 2027 |
| Funding year | 2026 |
| Award (this year) | $751,837 |
| NIH project number | 5R42HL174259-03 |
| Project ID | NIH-11403868 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults with suspected or diagnosed thoracic aortic aneurysm or related aortic conditions who undergo chest MRI.
✕Less likely to help
Patients without thoracic aortic disease or those whose imaging data do not meet the requirements for AI analysis may not benefit.
What this research studies
This project would use an AI platform called TCDflow to extract 4D hemodynamic data from common chest MRI images, potentially reducing the need for specialized 4D flow MRI protocols. By leveraging a large existing dataset, the team seeks to generate actionable health information that could improve how doctors assess rupture risk and guide treatment for people with thoracic aortic aneurysms. The work focuses on making advanced hemodynamic metrics accessible from widely available imaging, with cloud-based processing to streamline analysis. If successful, this could shorten imaging times, simplify interpretation, and support earlier, more personalized care.
Why it matters
Potential benefit: If successful, patients with thoracic aortic aneurysm could receive more accurate risk assessments and personalized treatment plans based on easier-to-obtain imaging data.
How similar studies have gone: Early efforts show promise in using AI to extract meaningful hemodynamic information from standard imaging, though widespread clinical validation is ongoing.
Where this research is happening
-
Third Coast Dynamics, INC.
Evanston, United States Active
Researchers
- Principal investigator: Allen, Bradley David — Third Coast Dynamics, INC.
- Study coordinator: Allen, Bradley David
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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.