Current Grants
* NIH Grants
Nicolas Bloch
Contrast Enhanced Breast MRI
11.25.2020 - 11.24.2024
$288,133.95
Alexei Bogdanov
*MR Signal Amplication for Receptor Imaging
9.1.2019 - 5.31.2023
$1,622,960
Roger Craig
*Mechanism of regulation of cardiac contraction by phosphorylation of myosin binding protein C
7.1.2018 - 6.30.2023
$1,464,900
*Mechanisms governing myosin turnover and exchange in vivo
4.1.2021 - 3.31.2025
$152,980
Gregory DiGirolamo, Alexander Bankier, Max Rosen
*Increasing Nodule Detection in Lung Cancer by Non-Conscious Detection of “Missed” Nodules and Machine Learning
5.23.2022 - 1.31.2027
$2,323,429
Young Kim
Application of Ultra Low Dose CT and Artificial Intelligence Algorithms in the Detection of Pelvic and Hip Fractures
8.30.2021 - 8.29.2024
$36,000
Michael King
*Attenuation correction strategies for myocardial perfusion imaging using dual-gated SPECT
8.5.2020 - 7.31.2023
$66,895
*Upgrading Adapti-SPECT-C for High Spatial Resolution Imaging of Brain Lymphatics and Vasculature to Advance Therapies for Alzheimer’s Disease
5.12.2021 - 3.31.2024
$387,429
*Optimization of diagnostic accuracy, radiation dose, and patient throughput for cardiac SPECT via advanced and clinically practical cardiac-respiratory motion correction and deep learning
7.1.2020 - 6.30.2024
$1,660,916
Michael King, Petrus Pretorious
*Improving Pediatric SPECT Imaging: Enhanced Lesion Detection with Dose Reduction through Advanced Reconstruction and Motion Correction
6.1.2020 - 2.29.2024
$2,959,043
Michael King, Robert Licho
*AdaptiSPECT-C: A Next-Generation, Adaptive Brain-Imaging SPECT System for Drug Discovery and Clinical Imaging
9.1.2016 - 3.31.2024
$4,991,889
Raúl Padrón
*Dissecting the structural origin of relaxation in skeletal muscle
4.1.23 - 3.31.28
$2,850,980
Raúl Padrón, Roger Craig
*Structural basis of the super-relaxed state in human cardiac muscle
7.1.2022 - 6.30.2026
$1,425,067
Mary Rusckowski
Breast Cancer Detection Empowered by Contrast Agents, Spectral CT, and Machine Learning
7.1.2020 - 6.30.2023
$159,000
Salman Shazeeb
Collaboration with MIT to focus on enhancing breast cancer risk prediction in the Worcester population regardless of the patients’ background, ethnicity, and risk based on family history.
One year - Worcester Foundation
$40,000
Salman Shazeeb, Manojkumar Saranathan and Gopal Vijayaraghavan
AI algorithm (Mirai) on patients at risk of developing breast cancer
In collaboration with Massachusetts Institute of Technology
10.1.2022 - 9.30.2024
$300,000
Gopal Vijayaraghavan
Improving Breast Cancer Diagnosis Using Artificial Intelligence in Mammography Screenings
7.1.2020 - 6.30.2023
$750,000
George Witman
*Flagellar Motility and Assembly
5.1.2017 - 4.30.2024
$3,091,844