This federal Project Grant award for $103,441, awarded 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 develop and validate a rapid, distortion- and blurring-free, and motion- and B0-robust technique for submillimeter-resolution T2* and quantitative susceptibility mapping (QSM) quantification. The project, titled "Fast and Robust...
The University of Southern California (USC) was awarded a $4,975,336 Project Grant from the National Institute on Aging (CFDA 93.866 - Aging Research) to develop advanced magnetic resonance imaging (MRI) techniques for mapping and quantifying cerebral small vessels as imaging biomarkers of vascular cognitive impairment and dementia (VCID). The project aims to optimize acquisition protocols and analysis pipelines for black-blood and arterial spin labeling MRI at 3 Tesla to comprehensively...
This federal Project Grant award from 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), provides $1,152,939 to Duke University to develop a highly innovative wireless MRI scanner architecture. The key products and services to be delivered include: A stand-alone, platform-independent wireless integrated radio-frequency/shim coil array with an on-board...
This Project Grant from the National Science Foundation Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $570,102 to the University of Utah from September 1, 2022 to August 31, 2026. The award will support the development of methods to improve the interpretability and reliability of deep learning models for medical imaging applications. Specifically, the University of Utah researchers will develop a...
The federal Project Grant award R56EB033347, in the amount of $499,291.00, was provided by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under the "Discovery and Applied Research for Technological Innovations to Improve Human Health" (CFDA 93.286) program. The award will support the development of breakthrough technology to enable future compact, mid-field (0.7 Tesla) magnetic resonance imaging (MRI) systems, with the goal of improving accessibility and...
The University of California, San Francisco (UCSF) was awarded a $1,453,500 Project Grant by the National Institutes of Health (NIH) under the Trans-NIH Research Support program (CFDA 93.310). The funding will support the development of a novel, physiologically-focused approach to train multi-modal artificial intelligence (AI) algorithms for medical applications. Specifically, the project aims to create a new deep neural network architecture that can accept and learn from multiple...
This Project Grant award, totaling $443,931, was provided by the National Institute of Mental Health (NIMH) under the Mental Health Research Grants program (CFDA 93.242). The primary objective is to demonstrate accurate quantification of changes in brain morphology using a portable 0.05T magnetic resonance imaging (MRI) scanner, coupled with autonomous control and deep-learning-based super-resolution reconstruction. The research aims to deliver densely sampled temporal neuroimaging data that can...
This Project Grant award for $113,018, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will fund research by Michigan State University (MSU) to develop robust machine learning methods for imaging applications. The project aims to advance supervised and unsupervised learning techniques that can reconstruct high-quality images from limited or corrupted measurement data, while using only small training datasets....
This Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides $183,980 to support research on the theoretical and algorithmic foundations of novel medical imaging modalities at the University of Arizona. The research aims to advance the underlying mathematics and image reconstruction algorithms for emerging modalities like photoacoustic tomography, magnetoacoustoelectric tomography, and ultrasound current density imaging....
This Project Grant award from 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), provides $459,264 to The Johns Hopkins University to develop the Resolution Enhancement and Contrast Harmonization (REACH) algorithm. The REACH algorithm aims to super-resolve multi-slice 2D MRI and adjust the contrast of both multi-slice 2D and 3D MRI for use in downstream...