This National Science Foundation (NSF) Project Grant award to New York University (NYU) under the Computer and Information Science and Engineering program (CFDA 47.070) aims to develop an advanced software tool that automates the design and optimization of electromagnetic (EM) systems, with a focus on improving the performance of magnetic resonance imaging (MRI) devices. The $1,164,641 award, effective from August 1, 2023 to July 31, 2026, will create a software pipeline that combines geometry processing, advanced EM simulations, machine learning, and shape modeling techniques to optimize the design of key MRI components like radiofrequency (RF) coils. This project seeks to address inefficiencies in the manual optimization processes used for RF coils, which impact the quality of MRI imaging. The developed software tools and optimized RF coil design will be made available as open-source resources, enabling broader impacts across the EM systems research and development community.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $1.2m | 7/31/23 |