Project Grant R01EB036574
- This Project Grant award from the National Institute of Neurological Disorders and Stroke (NINDS) under the Extramural Research Programs in the Neurosciences and Neurological Disorders (CFDA 93.853) provides $338,232 to Vanderbilt University Medical Center (VUMC) to develop a novel machine learning method that utilizes partially synthetic data for rapid and precise pH mapping in ischemic stroke. The goal is to advance an MRI technique called amide proton transfer (APT) imaging to better...
- The National Institute of Biomedical Imaging and Bioengineering (NIBIB) awarded a $390,916 Project Grant on Jan 15, 2025 to The Johns Hopkins University under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286). The grant funds research to optimize polymeric Chemical Exchange Saturation Transfer (CEST) Magnetic Resonance Imaging (MRI) agents for improved sensitivity and specificity in detecting prostate cancer. The key objectives are...
- This $435,827 Project Grant from the National Cancer Institute (NCI) under the CFDA 93.394 Cancer Detection and Diagnosis Research program supports research conducted by New York University (NYU) School of Medicine to develop deep learning methods for analyzing mass spectrometry imaging (MSI) data. The goal is to make MSI data more accessible to existing machine learning workflows by expanding the dimensionality of the data structure to treat each metabolite or lipid as an individual "color...
- This federal Project Grant award of $700,000.00 was made by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286). The award supports research to develop and optimize direct use of [11C]CO2 for reductive methylation to facilitate rapid production of 11C-labeled radiopharmaceuticals. The key goals are to: 1) develop a method for direct use of [11C]CO2 for...
- This $1,434,445.00 Project Grant award from the National Institutes of Health's Trans-NIH Research Support program (CFDA 93.310) supports the University of Southern California (USC) in developing new deep learning-based architectures, algorithms and training mechanisms to address key challenges in magnetic resonance imaging (MRI) reconstruction. The project aims to create a robust, reliable and trustworthy toolkit for reducing MRI acquisition time, enabling high-quality reconstruction with...
- This $1,336,000 Project Grant awarded by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under the CFDA 93.286 "Discovery and Applied Research for Technological Innovations to Improve Human Health" program supports the development of a rapid, motion-robust, and low-gadolinium MRI technology for pediatric brain tumors. The key objectives are to (1) develop cutting-edge technologies for rapid, motion-robust, and quantitative MRI scans to reduce sedation needs...
- This Project Grant award of $212,408 from the National Institute of Biomedical Imaging and Bioengineering (CFDA 93.286 - Discovery and Applied Research for Technological Innovations to Improve Human Health) supports research by Duke University to develop nitrogen-15 (15N)-labeled probes for monitoring glutamine metabolism using hyperpolarized magnetic resonance spectroscopy and imaging (MRS/MRI). The research aims to create new tools for sensitive and specific detection of metabolic steps...
- This Project Grant award, funded by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286), aims to significantly enhance quantitative magnetic resonance imaging (MRI) technology for in-vivo analysis of neurovascular structures and the early developing brain's response to perinatal stroke. The $511,583 award, with a project period from August 1, 2025 to May 31,...
- The National Institute of Biomedical Imaging and Bioengineering (NIBIB) awarded a $459,264 Project Grant to The Johns Hopkins University under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286). The award, which runs from Apr 8, 2025 to Feb 28, 2029, will support research and development to enhance resolution and contrast in magnetic resonance (MR) neuroimaging. This is intended to help standardize the appearance of MR neuroimages...
- This Project Grant award of $596,570.00 from the National Institute of Neurological Disorders and Stroke (CFDA 93.853 - Extramural Research Programs in the Neurosciences and Neurological Disorders) will support research by Vanderbilt University to develop and validate improved methods for sub-voxel fiber identification and tissue characterization using diffusion magnetic resonance imaging (dMRI). The research aims to quantify and improve the reliability of sub-voxel measurements of fiber...
This Project Grant award from the National Institute of Biomedical Imaging and Bioengineering (CFDA 93.286) to Vanderbilt University Medical Center aims to develop a novel platform for generating partially synthetic chemical exchange saturation transfer (CEST) MRI data to train machine learning models. The $421,632 award, effective August 15, 2025 through April 30, 2029, supports research to address challenges in CEST imaging for detecting and diagnosing glioma, a significant health concern. The project seeks to translate an ideal steady-state continuous-wave saturation approach from preclinical animal models to 3T human imaging, with the goal of improving CEST quantification methods and overcoming the inherently low signal-to-noise ratio issues that have hindered the clinical adoption of this molecular imaging technique. The research leverages machine learning to identify complex features that traditional analysis methods may miss, using partially synthetic training data to mitigate challenges like insufficient real-world data and poor-quality ground truth information.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $421.6k | 8/11/25 |