Understanding the causes of impaired heart relaxation
Official title: Integrated super-resolution CMR-deep learning to deconvolute passive and active causes of impaired relaxation
Funded at Texas Engineering Experiment Station · NIH-11050924 · Data updated 2026-11-12
This study is looking into why some people's hearts have trouble relaxing properly, which can lead to heart problems, and it aims to find out the different reasons behind this using advanced imaging and technology, so that doctors can better understand and treat these issues for patients like you.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Texas Engineering Experiment Station NIH-funded |
| Lab location | 1 site (College Station, United States) |
| Project start | March 6, 2025 |
| Project end | December 31, 2029 |
| Funding year | 2025 |
| Award (this year) | $702,534 |
| NIH project number | 1R01HL168368-01A1 |
| Project ID | NIH-11050924 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals diagnosed with left ventricular diastolic dysfunction or related cardiac conditions such as diabetic cardiomyopathy or hypertrophic cardiomyopathy.
✕Less likely to help
Patients with non-cardiac related conditions or those without any form of heart dysfunction may not benefit from this research.
What this research studies
This research investigates the mechanisms behind impaired relaxation of the heart, specifically focusing on left ventricular diastolic dysfunction (LVDD), which is a significant factor in various cardiac diseases. The study aims to differentiate between passive and active causes of impaired relaxation using advanced imaging techniques and deep learning methods. By analyzing heart motion and tissue characteristics, the research seeks to provide a clearer understanding of how these factors contribute to heart conditions, which could lead to more targeted therapies. Patients may benefit from improved diagnostic tools that can better identify the underlying causes of their heart issues.
Why it matters
Potential benefit: If successful, this research could lead to more effective and personalized treatments for patients with heart relaxation problems.
How similar studies have gone: While the approach of using advanced imaging and deep learning is innovative, similar studies have shown promise in improving cardiac diagnostics, suggesting potential for success.
Where this research is happening
-
Texas Engineering Experiment Station
College Station, United States Active
Researchers
- Principal investigator: Avazmohammadi, Reza — Texas Engineering Experiment Station
- Study coordinator: Avazmohammadi, Reza
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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.