- Cardiac Imaging and Diagnostics
- Cardiovascular Function and Risk Factors
- Coronary Interventions and Diagnostics
- Advanced MRI Techniques and Applications
- Cardiovascular Disease and Adiposity
- Advanced X-ray and CT Imaging
- Cardiovascular Health and Disease Prevention
- Spaceflight effects on biology
- Cardiac Valve Diseases and Treatments
- Radiomics and Machine Learning in Medical Imaging
- ECG Monitoring and Analysis
- Health, Environment, Cognitive Aging
- Radiation Dose and Imaging
- Mitochondrial Function and Pathology
- Cerebrovascular and Carotid Artery Diseases
- Nutrition and Health in Aging
- Ultrasound and Cavitation Phenomena
- Genetics, Aging, and Longevity in Model Organisms
- HIV-related health complications and treatments
- MRI in cancer diagnosis
- Advanced Vision and Imaging
- Radiation Therapy and Dosimetry
- Bariatric Surgery and Outcomes
- Elasticity and Material Modeling
- Cardiac Structural Anomalies and Repair
Philips (France)
2024
Massachusetts Life Sciences Center
2024
Beth Israel Deaconess Medical Center
2024
Philips (United States)
2022-2024
Massachusetts General Hospital
2018-2023
Harvard University
2018-2023
University Hospital Heidelberg
2023
Heidelberg University
2023
University of Chicago
2022
IIT@Harvard
2020
Abstract Coronary artery calcium is an accurate predictor of cardiovascular events. While it visible on all computed tomography (CT) scans the chest, this information not routinely quantified as requires expertise, time, and specialized equipment. Here, we show a robust time-efficient deep learning system to automatically quantify coronary routine cardiac-gated non-gated CT. As evaluate in 20,084 individuals from distinct asymptomatic (Framingham Heart Study, NLST) stable acute chest pain...
Abstract Wall shear stress (WSS) has been shown to be associated with myocardial infarction (MI) and progression of atherosclerosis. elasticity is an important feature hemodynamic modeling affecting WSS calculations. The objective this study was investigate the role wall on WSS, justify use either rigid or elastic models in future studies. Digital anatomic aorta coronaries were created based coronary computed tomography angiography (CCTA) four patients. Hemodynamics using a finite element...
Purpose To extract radiomic features from coronary artery calcium (CAC) on CT images and to determine whether this approach could improve the ability identify individuals at risk for a composite endpoint of clinical events. Materials Methods Participants Offspring Third Generation cohorts community-based Framingham Heart Study underwent noncontrast cardiac (2002–2005) were followed more than median 9.1 years major A total 624 participants with CAC Agatston score (AS) greater 0 good or...
Abstract NASA has employed high-throughput molecular assays to identify sub-cellular changes impacting human physiology during spaceflight. Machine learning (ML) methods hold the promise improve our ability important signals within highly dimensional data. However, inherent limitation of study subject numbers a spaceflight mission minimizes utility ML approaches. To overcome sample power limitations, data from multiple missions must be aggregated while appropriately addressing intra- and...
Abstract Although artificial intelligence algorithms are often developed and applied for narrow tasks, their implementation in other medical settings could help to improve patient care. Here we assess whether a deep-learning system volumetric heart segmentation on computed tomography (CT) scans cardiovascular radiology can optimize treatment planning radiation oncology. The was trained using multi-center data ( n = 858) with manual segmentations provided by radiologists. Validation of the...
Intracranial aneurysms manifest in a vast variety of morphologies and their growth rupture risk are subject to patient-specific conditions that coupled with complex, non-linear effects hemodynamics. Thus, studies attempt understand correlate aneurysm morphology have incorporate hemodynamics, at the same time, address large enough sample size so as produce reliable statistical correlations. In order perform accurate hemodynamic simulations for number cases, automated methods convert medical...
Background: Left ventricular (LV) dilatation is a key compensatory feature in patients with chronic aortic regurgitation (AR). However, sex-differences LV remodeling and outcomes AR have been poorly investigated so far. Methods: We performed cardiovascular magnetic resonance imaging (CMR) including phase-contrast velocity-encoded for the measurement of regurgitant fraction (RegF) at sinotubular junction, consecutive least mild on echocardiography. assessed size (end-diastolic volume indexed...
Recent computed tomography coronary angiography (CCTA) studies have noted higher transluminal contrast agent gradients in arteries with stenotic lesions, but the physical mechanism responsible for these is not clear. We use computational fluid dynamics (CFD) modeling coupled dispersion to investigate gradients. Simulations of blood flow and models artery are carried out both steady pulsatile flows, axisymmetric stenoses severities varying from 0% (unobstructed) 80% considered. show presence...
To provide a standard for total abdominal muscle mass (TAM) quantification on computed tomography (CT) and investigate its association with cardiovascular risk in primary prevention setting.We included 3016 Framingham Heart Study participants free of disease (CVD) who underwent CT between 2002 2005. On single slice at the level L3/L4, we segmented (1) TAM-Area, (2) TAM-Index (= TAM-Area/height) and, (3) TAM-Fraction TAM-Area/total cross-sectional CT-area). We tested these measures prevalent...
The arterial input function (AIF)-time-density curve (TDC) of contrast at the coronary ostia-plays a central role in enhanced computed tomography angiography (CTA). This study employs computational modeling patient-specific aorta to investigate mixing and dispersion aortic arch (AA) compare TDCs ostium descending aorta. Here, we examine validity use TDC as surrogate for AIF. Computational fluid dynamics (CFD) was used hemodynamics CTA-based patient model Variations between root, through AA...
Skeletal muscle quality and mass are important for maintaining physical function during advancing age. We leveraged baseline data from Randomized Trial to Prevent Vascular Events in HIV (REPRIEVE) evaluate whether paraspinal density area associated with cardiac or outcomes people (PWH).
Abstract The space environment includes unique hazards like radiation and microgravity which can adversely affect biological systems. We assessed a multi-omics NASA GeneLab dataset where mice were hindlimb unloaded and/or gamma irradiated for 21 days followed by retinal analysis at 7 days, 1 month or 4 months post-exposure. compared time-matched epigenomic transcriptomic profiles resulting in total of 4178 differentially methylated loci regions, 457 expressed genes. Highest correlation...
Abstract Background Identifying regional wall motion abnormalities (RWMAs) is critical for diagnosing and risk stratifying patients with cardiovascular disease, particularly ischemic heart disease. We hypothesized that a deep neural network could accurately identify from readily available standard 12-lead electrocardiogram (ECG). Methods This observational, retrospective study included who were treated at Beth Israel Deaconess Medical Center had an ECG echocardiogram performed within 14 days...