Project Grant R03EB037952
- This $116,625 federal Project Grant award from the National Heart, Lung, and Blood Institute (CFDA 93.837 Cardiovascular Diseases Research) will characterize clinically relevant phenotypes related to osteoporosis and sarcopenia in chronic obstructive pulmonary disease (COPD). The project will develop automated methods to derive static metrics of spine, vertebrae, and pectoral muscles, as well as dynamic metrics of lung diaphragmatic surface deformation, from chest CT scans. It will then use...
- This Project Grant award of $108,003.00, provided by the National Heart Lung and Blood Institute under CFDA Program 93.837 Cardiovascular Diseases Research, supports a study on "Early Changes of T2* Measures in Lung Tissues Using Deltate-UTE MRI on Healthy and COPD Patients" at the University of California, San Diego (UCSD). The goal is to develop an advanced ultrashort echo-time (UTE) magnetic resonance imaging (MRI) technique, called TE-UTE, to accurately map T2* values in lung...
- This federal Project Grant award, provided by the National Heart Lung and Blood Institute under the Cardiovascular Diseases Research program (CFDA 93.837), supports a research project at Brigham & Women's Hospital Inc. to better understand changes in the pulmonary vasculature and their relationship to lung parenchyma using advanced CT imaging in patients with pulmonary hypertension and chronic obstructive pulmonary disease (COPD). The $812,189 award, with a project period from May 1, 2025 to...
- The Project Grant award from the National Heart Lung and Blood Institute (CFDA 93.837 Cardiovascular Diseases Research) provides $268,500 to Brigham & Women's Hospital Inc. to develop and validate a quantitative marker of pulmonary microvascular injury and explore the correlation between microvascular volume loss and the longitudinal progression of chronic obstructive pulmonary disease (COPD) and emphysema in smokers. The research leverages an AI-based algorithm to assess vascular...
- The University of Utah received a $782,289 project grant award from the National Heart, Lung, and Blood Institute's Cardiovascular Diseases Research program (CFDA 93.837) to develop machine learning models that incorporate donor lung CT images to predict the risk of severe primary graft dysfunction (PGD) in lung transplant recipients. The project aims to leverage a multi-center cohort of lung transplant data to build improved predictive models that fuse donor and recipient clinical data with...
- This Project Grant award of $833,388.00 from the National Heart Lung and Blood Institute (CFDA 93.837 - Cardiovascular Diseases Research) supports research at the University of Pennsylvania to develop advanced body composition imaging techniques to improve outcomes for lung transplant recipients. The key products and services to be delivered include: Developing improved methods using computed tomography (CT) scans to quantify adipose tissue distribution in lung transplant candidates, which can...
- This Project Grant award of $807,067.00 from the National Heart Lung and Blood Institute (CFDA 93.837 Cardiovascular Diseases Research) will support a study to pioneer the quantitative documentation of human respiratory kinematic profiles. The study aims to address a critical gap in contemporary physiological monitoring - the inability to quantify labored breathing, which contains vital prognostic information not captured by conventional monitoring. Building on a recent innovation called ARK...
- This federal Project Grant award of $429,000.00 from the National Heart Lung and Blood Institute (CFDA 93.837 Cardiovascular Diseases Research) aims to develop an efficient, contrast-free, 3D whole-lung low-field magnetic resonance imaging (MRI) protocol for the detection of pulmonary embolism (PE). The project, awarded to the Regents of the University of Michigan, will leverage advancements in low-field MRI hardware and deep learning techniques to create a rapid, comfortable, and radiation-free...
- The Project Grant award of $191,913 from the National Heart Lung and Blood Institute (CFDA 93.837 - Cardiovascular Diseases Research) supports research to evaluate the use of hyperpolarized xenon-129 MRI as a predictive biomarker for mitigating radiation-induced lung injury (RILI) in lung cancer patients undergoing radiotherapy. The University of Texas MD Anderson Cancer Center will conduct this research, which aims to establish xenon-129 MRI-guided functional avoidance radiotherapy as an...
- 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 $656,750 to The General Hospital Corporation, doing business as Massachusetts General Hospital (MGH), to advance the use of Electrical Impedance Tomography (EIT) for measuring lung perfusion in patients with Acute Respiratory Distress Syndrome (ARDS). The project aims...
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 $150,951 to the University of Texas at Austin (UT Austin) to develop a novel computational lung breathing model for robust lung function assessment. The goal is to leverage this biomechanical lung model to infer patient-specific lung tissue material properties from forced inhale/exhale CT scans. The researchers hypothesize that this approach can detect and quantify early microvascular changes associated with lung conditions like COPD, IPF, and radiation-induced pneumonitis. The project will utilize longitudinal CT data from the COPD Genetic Epidemiology (COPDGene) study to develop the inverse finite element method for estimating patient-specific lung material parameters and evaluate their utility as predictive markers for COPD mortality. This novel computational modeling technique aims to address limitations of current quantitative CT-based methods for assessing and predicting progression of chronic lung diseases.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $151.0k | 7/31/25 |