Using advanced MRI techniques to improve breast cancer treatment.

Who could benefit from this research

What this research studies

This research aims to enhance breast cancer therapy by developing advanced magnetic resonance imaging (MRI) techniques that utilize machine learning. By integrating physics knowledge into deep learning models, the project seeks to create reliable quantitative MRI methods that can evaluate the effectiveness of MR-guided focused ultrasound treatments for breast cancer. Patients will benefit from improved imaging techniques that provide more accurate assessments of their treatment progress, ultimately leading to better outcomes. The research addresses existing challenges in MRI technology, such as the need for large datasets and variability across imaging protocols.

Why it matters

Where this research is happening

• University of Utah
  Salt Lake City, United States Active

Researchers

• Principal investigator: Adams, Samuel Ian — University of Utah
• Study coordinator: Adams, Samuel Ian

Related research

Other NIH-funded projects on the same topics.

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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.