AI-driven, patient-specific prediction of MRI RF-heating from rapid thermometry
Active Project Grant Awarded Last action
- Award ID
- F31EB040309
- Recipient
-
Northwestern University UEI KG76WYENL5K1
- Awarding agency
-
National Institute of Biomedical Imaging and Bioenginering
National Institutes of Health, Department of Health and Human Services
- Obligated
- $45,748
Award facts
- Assistance listing
- 93.286 Discovery and Applied Research for Technological Innovations to Improve Human Health
- Completion date 0% complete
- Place of performance
- Evanston, IL 60208, USA
Award details come from USAspending.gov.
Description
- Abstract
- Magnetic resonance imaging (MRI) is indispensable for clinical diagnosis, yet a substantial population of patients with active implantable medical devices (aimds) are denied access due to the risk of radiofrequency (RF) induced tissue heating. Current safety standards rely on generalized worst-case labeling that fails to account for significant inter-patient variability in lead placement and tissue properties. This overly conservative approach restricts access for vulnerable groups, including pediatric patients and those with abandoned leads, often forcing reliance on alternative modalities involving ionizing radiation. This project seeks to overcome these barriers by developing a deep learning framework for real-time, patient-specific risk quantification. The central hypothesis is that the early spatiotemporal temperature response near an implant, captured via a brief (
Quick answers
Who received award F31EB040309?
F31EB040309 was awarded to Northwestern University by National Institute of Biomedical Imaging and Bioenginering (National Institutes of Health) on January 30, 2027.
How much is award F31EB040309 worth?
$45,748 has been obligated on F31EB040309.
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