BMR Research Grants

Our work is funded by grants from the National Institutes of Health and GE Healthcare, including the following:

Abbreviated Non-Contrast-Enhanced MRI for Breast Cancer Screening (R01/NCI)

Accurate, routine screening reduces deaths among the 1-in-8 women who will get breast cancer in their lifetime. Contrast-enhanced MRI screening has tremendous potential to improve on mammography screening, but it is limited by cost, discomfort, and concerns over the risks and benefits of annual gadolinium contrast injections. We propose to develop non-contrast-enhanced breast MRI screening approaches that are accurate, more comfort- able and avoid the need for intravenous gadolinium contrast, and study these approaches for screening women at high risk of developing breast cancer.

High-Resolution Whole-Breast MRI at 3.0T (R01/NIBIB)

This research will develop much higher resolution breast MRI hardware and software, allowing better classification of small lesions to prevent unnecessary biopsy and detect cancer earlier. 

Quantitative 3D Diffusion and Relaxometry of the Knee (R01/NIAMS)

This work aims to develop a novel magnetic resonance imaging approach that offers three-dimensional imaging of knee structure as well as multiple quantitative measures that can be used to assess joint health.

Comprehensive MRI near Total Joint Replacements (R01/NIBIB)

This project seeks to make routine MRI available for patients with total hip replacements and total knee replacements, including development and testing of faster methods that can be tailored to the specific device.

MR Guided Focused Ultrasound Surgery near Metal Implants (R21/NIBIB)

This research will develop new MRI techniques that work in the presence of metal so that focused ultrasound surgery procedures can be used in subjects with metallic implants.

Center for Advanced MR Technology at Stanford (P41/NIBIB)

This Center will develop, maintain and make available innovative technologies in six core MRI research areas:
 (1) image reconstruction, and RF pulse design methods, (2) high-field MRI, (3)  body and vascular imaging (4) neurologic imaging and (5) metabolic MR imaging methods.