Award
NIH Reporter #5F31CA288055-03
Quantitative magnetic resonance imaging for non-invasive breast cancer therapy using physics-informed neural networks.
Recipient
Utah State Higher Education System--University of Utah, Salt Lake City, UT, United States
Award Amount
$41,997.00
Ceiling
$41,997.00
Awarded
August 10, 2026
Identifier
5F31CA288055-03
Development of physics-informed neural networks for quantitative MRI to improve non-invasive breast cancer therapy evaluation.
Description
This research focuses on addressing unsolved engineering problems in MRI-based evaluation of focused ultrasound for breast cancer treatment, providing a foundation for a career in interventional imaging. The project aims to develop physics-informed machine learning models to measure MR relaxation times and diffusion parameters in breast tissue, enabling reliable, quantitative MRI techniques for clinical use.