A5041760414- Advanced MRI Techniques and Applications
- Cardiac electrophysiology and arrhythmias
- ECG Monitoring and Analysis
- MRI in cancer diagnosis
- Advanced Neuroimaging Techniques and Applications
- Cardiovascular Function and Risk Factors
- Electrical and Bioimpedance Tomography
- Cardiac Arrhythmias and Treatments
- Cardiac Imaging and Diagnostics
- EEG and Brain-Computer Interfaces
- Cell Image Analysis Techniques
- Pediatric Urology and Nephrology Studies
- Lanthanide and Transition Metal Complexes
- Radiomics and Machine Learning in Medical Imaging
- AI in cancer detection
- Non-Invasive Vital Sign Monitoring
- Cutaneous Melanoma Detection and Management
- Diet and metabolism studies
- Fault Detection and Control Systems
- Hemodynamic Monitoring and Therapy
- Cardiovascular Health and Disease Prevention
- Atomic and Subatomic Physics Research
- Aortic aneurysm repair treatments
- Aortic Disease and Treatment Approaches
- Cardiovascular Disease and Adiposity
Massachusetts General Hospital
2020-2023
Harvard University
2018-2023
Athinoula A. Martinos Center for Biomedical Imaging
2020-2023
Northeastern University
2013-2021
Boston Children's Hospital
2017-2021
Boston Children's Museum
2019-2020
Lemuel Shattuck Hospital
2020
Children's Hospital
2019
Maastricht University
2019
University of Utah
2016-2019
Cross-scanner and cross-protocol variability of diffusion magnetic resonance imaging (dMRI) data are known to be major obstacles in multi-site clinical studies since they limit the ability aggregate dMRI derived measures. Computational algorithms that harmonize minimize such critical reliably combine datasets acquired from different scanners and/or protocols, thus improving statistical power sensitivity studies. Different computational approaches have been proposed MRI or remove...
Cardiac electrical imaging from body surface potential measurements is increasingly being seen as a technology with the for use in clinic, example pre-procedure planning or during-treatment guidance ventricular arrhythmia ablation procedures. However several important impediments to widespread adoption of this remain be effectively overcome. Here we address two these impediments: difficulty reconstructing electric potentials on inner (endocardial) well outer (epicardial) surfaces ventricles,...
Background Late gadolinium enhancement cardiac magnetic resonance imaging is an effective and reproducible method for characterizing myocardial infarction. However, gadolinium‐based contrast agents are contraindicated in patients with acute chronic renal insufficiency. In addition, several recent studies have noted tissue deposition of free who undergone serial contrast‐enhanced imaging. There a clinical need alternative forms that acceptable the setting Methods Results Three days after 80...
Purpose We aimed to develop a novel free‐breathing cardiac diffusion tensor MRI (DT‐MRI) approach, M2‐MT‐MOCO , capable of whole left ventricular coverage that leverages second‐order motion compensation (M2) encoding and multitasking (MT) framework efficiently correct for respiratory (MOCO). Methods Imaging was performed in 16 healthy volunteers 3 heart failure patients with symptomatic dyspnea. The were scanned compare the accuracy interleaved multislice entire ventricle single‐slice...
Purpose To substantially shorten the acquisition time required for quantitative three‐dimensional (3D) chemical exchange saturation transfer (CEST) and semisolid magnetization (MT) imaging allow rapid parameter map reconstruction. Methods Three‐dimensional CEST MT magnetic resonance fingerprinting (MRF) datasets of L‐arginine phantoms, whole‐brains, calf muscles from healthy volunteers, cancer patients, cardiac patients were acquired using 3T clinical scanners at three different sites,...
To investigatecardiac activation maps estimated using electrocardiographic imaging and to find methods reducing line-of-block (LoB) artifacts, while preserving real LoBs.Body surface potentials were computed for 137 simulated ventricular excitations. Subsequently, the inverse problem was solved obtain extracellular (EP) transmembrane voltages (TMV). From these, times (AT) four compared ground truth. This process evaluated with two cardiac mesh resolutions. Factors contributing LoB artifacts...
The inverse problem of electrocardiography is illposed.Errors in the model such as signal noise can impact accuracy reconstructed cardiac electrical activity.It currently not known how sensitive to processing techniques.To evaluate this, experimental data from a Langendorffperfused pig heart (n=1) suspended human-shaped torso-tank was used.Different methods were applied torso potentials recorded 128 electrodes embedded tank surface.Processing divided into three categories i) highfrequency...
Goal: To evaluate state-of-the-art signal processing methods for epicardial potential-based noninvasive electrocardiographic imaging reconstructions of single-site pacing data. Methods: Experimental data were obtained from two torso-tank setups in which Langendorff-perfused hearts (n = 4) suspended and potentials recorded simultaneously torso surfaces. 49 different applied to potentials, grouped as i) high-frequency noise removal (HFR) ii) baseline drift (BDR) iii) combined HFR+BDR. The...
The accurate generation of forward models is an important element in general research electrocardiography, and particular for the techniques ElectroCardioGraphic Imaging (ECGI). Recent efforts have been devoted to reliable fast models. However, these model can suffer from several sources inaccuracy, which turn lead considerable error both simulation body surface potentials even more so ECGI solutions. In particular, localization heart within torso sensitive movements due respiration changes...
Abstract Reflectance confocal microscopy (RCM) is an effective non-invasive tool for cancer diagnosis. However, acquiring and reading RCM images requires extensive training experience, novice clinicians exhibit high discordance in diagnostic accuracy. Quantitative tools to standardize image acquisition could reduce both required variability. To perform analysis, collect a set of mosaics (RCM concatenated raster fashion extend the field view) at 4–5 specific layers skin, all localized...
A continuing challenge in validating electrocardiographic imaging (ECGI) is the persistent error associated forward problem observed experimental studies. One possible cause of this insufficient representation cardiac sources; source measurements often sample only ventricular epicardium, ignoring endocardium and atria. We hypothesize that completely cover pericardial surface are required for accurate solutions. In study, we used simulated measured potentials to test effect different levels...
Functional dyspepsia (FD) is a disorder of gut-brain interaction, and its putative pathophysiology involves dysregulation gastric motility central processing afference. The vagus nerve modulates peristalsis carries afferent sensory information to brainstem nuclei, specifically the nucleus tractus solitarii (NTS). Here, we combine MRI assessment kinematics with measures NTS functional connectivity brain in patients FD healthy controls (HC), order elucidate how axis communication associated...
Background Evaluation of kidney function in newborns with hydronephrosis is important for clinical decisions. Dynamic contrast‐enhanced (DCE) MRI can provide the necessary anatomical and functional information. Golden angle dynamic radial acquisition compressed sensing reconstruction provides sufficient spatiotemporal resolution to achieve accurate parameter estimation imaging kidneys. However, bulk motion during (rigid or nonrigid movement subject resulting signal dropout) remains an...
There has been a recent upsurge in the development of electrocardiographic imaging (ECGI) methods, along with significant increase clinical application.To better assess state-of-the-art, enable reliable progress, and facilitate adoption, it is important to be able compare results comprehensive manner, scientifically clinically.However, studies vary modeling choices, computational validation mechanisms metrics, applications, making unified evaluation comparison ECGI critical challenge.This...
Electrocardiographic imaging (ECGI) has recently gained attention as a viable diagnostic tool for reconstructing cardiac electrical activity in normal hearts well arrhythmias. However, progress been limited by the lack of both standards and unbiased comparisons approaches techniques across community, consequent difficulty effective collaboration research groups.. To address these limitations, we created Consortium Imaging (CEI), with objective facilitating community ECGI creating...