Davis M. Vigneault

ORCID: 0000-0003-3798-9812
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About
Contact & Profiles
Research Areas
  • Cardiovascular Function and Risk Factors
  • Cardiac Imaging and Diagnostics
  • Advanced MRI Techniques and Applications
  • Atrial Fibrillation Management and Outcomes
  • Cardiomyopathy and Myosin Studies
  • Cardiovascular Effects of Exercise
  • Medical Imaging Techniques and Applications
  • Cardiac electrophysiology and arrhythmias
  • Cardiac Valve Diseases and Treatments
  • Cerebrovascular and Carotid Artery Diseases
  • Sports injuries and prevention
  • Blood properties and coagulation
  • Advanced X-ray and CT Imaging
  • Cardiac Arrhythmias and Treatments
  • Radiomics and Machine Learning in Medical Imaging
  • Machine Learning in Materials Science
  • Rheology and Fluid Dynamics Studies
  • Acute Myocardial Infarction Research
  • Advanced Neural Network Applications
  • Data Management and Algorithms
  • Coronary Interventions and Diagnostics
  • RNA modifications and cancer
  • Cardiac Structural Anomalies and Repair
  • Congenital heart defects research
  • Adipose Tissue and Metabolism

Stanford University
2023

Palo Alto University
2023

University of California, San Diego
2019-2022

Scripps Mercy Hospital
2021

La Jolla Bioengineering Institute
2019-2021

Tufts University
2013-2019

University of Oxford
2015-2018

Johns Hopkins University
2018

National Institutes of Health Clinical Center
2015-2018

Johns Hopkins Hospital
2018

Atrial fibrillation (AF) alters left atrial (LA) hemodynamics, which can lead to thrombosis in the appendage (LAA), systemic embolism and stroke. A personalized risk-stratification of AF patients for stroke would permit improved balancing preventive anticoagulation therapies against bleeding risk. We investigated how LA anatomy function impact LAA explored whether patient-specific analysis by computational fluid dynamics (CFD) predict risk thrombosis. analyzed 4D-CT acquisitions wall motion...

10.3389/fphys.2021.596596 article EN cc-by Frontiers in Physiology 2021-02-26

Abstract The lack of mechanically effective contraction the left atrium (LA) during atrial fibrillation (AF) disturbs blood flow, increasing risk thrombosis and ischemic stroke. Thrombosis is most likely in appendage (LAA), a small narrow sac where prone to stagnate. Slow flow promotes formation erythrocyte aggregates LAA, also known as rouleaux, causing viscosity gradients that are usually disregarded patient‐specific simulations. To evaluate these non‐Newtonian effects, we built models...

10.1002/cnm.3597 article EN International Journal for Numerical Methods in Biomedical Engineering 2022-03-28

Purpose To evaluate myocardial strain and circumferential transmural difference (cTSD; the between epicardial endocardial strain) in a genotyped cohort with hypertrophic cardiomyopathy (HCM) to explore correlations cTSD other anatomic functional markers of disease status. Left ventricular (LV) dysfunction may indicate early preclinical HCM (sarcomere mutation carriers without LV hypertrophy). Cardiac MRI feature tracking be used sarcomere mutation. Materials Methods Participants their family...

10.1148/radiol.2018180339 article EN Radiology 2018-12-26

Regional right ventricular (RV) dysfunction is the hallmark of Arrhythmogenic Right Ventricular Dysplasia/Cardiomyopathy (ARVD/C), but currently only qualitatively evaluated in clinical setting. Feature Tracking Cardiovascular Magnetic Resonance (FT-CMR) a novel quantitative method that uses cine CMR to calculate strain values. However, most prior FT-CMR studies ARVD/C have focused on global RV using different software methods, complicating implementation practice. We aimed assess value and...

10.1186/s12968-017-0380-4 article EN cc-by Journal of Cardiovascular Magnetic Resonance 2016-12-01

Background Analysis of regional wall motion the right ventricle (RV) is primarily qualitative with large interobserver variation in clinical practice. Thus, purpose this study was to use feature tracking analyze abnormalities patients arrhythmogenic ventricular cardiomyopathy (ARVC). Methods We enrolled 110 subjects (39 overt ARVC [mutation+/phenotype+] (35.5%), 40 preclinical [mutation+/phenotype–] (36.3%), and 31 control (28.2%)). Cine steady state free precession cardiac MR performed...

10.1002/jmri.25068 article EN Journal of Magnetic Resonance Imaging 2015-10-26

Purpose To assess the relationship between total, calcified, and noncalcified coronary plaque burdens throughout entire vasculature at computed tomographic (CT) angiography in to cardiovascular risk factors asymptomatic individuals with low-to-moderate risk. Materials Methods This HIPAA-compliant study had institutional review board approval, written informed consent was obtained. Two hundred two subjects were recruited an ongoing prospective designed evaluate effect of HMG-CoA reductase...

10.1148/radiol.2015142551 article EN Radiology 2015-06-02

Impaired left atrial (LA) function is an early marker of cardiac dysfunction and predictor adverse events. Herein, we assess LA structure in hypertrophy hypertrophic cardiomyopathy (HCM) sarcomere mutation carriers with without ventricular (LVH). Seventy-three participants the HCMNet study who underwent cardiovascular magnetic resonance (CMR) imaging were studied, including overt HCM (n = 34), preclinical 24) healthy, familial controls 15). volumes similar between preclinical, control...

10.1186/s12968-017-0420-0 article EN cc-by Journal of Cardiovascular Magnetic Resonance 2016-12-01

To investigate the use of cine multidetector computed tomography (CT) to detect changes in myocardial function a swine cardiomyopathy model.All animal protocols were accordance with Principles for Utilization and Care Vertebrate Animals Used Testing Research Training approved by University Missouri Animal Use Committee. Strain analysis CT images left ventricle was optimized analyzed feature-tracking software. The standard reference strain harmonic phase tagged cardiac magnetic resonance (MR)...

10.1148/radiol.2015142339 article EN Radiology 2015-04-08

Abstract Aims To develop an automated method for bloodpool segmentation and imaging plane re-slicing of cardiac computed tomography (CT) via deep learning (DL) clinical use in coronary artery disease (CAD) wall motion assessment reproducible longitudinal imaging. Methods results One hundred patients who underwent clinically indicated CT scans with manually segmented left ventricle (LV) atrial (LA) chambers were used training. For each patient, long-axis (LAX) short-axis planes defined by...

10.1093/ehjdh/ztab033 article EN cc-by-nc European Heart Journal - Digital Health 2021-03-22

18Fluorodeoxyglucose (FDG) positron emission tomography (PET) uptake in the artery wall correlates with active inflammation. However, part due to low spatial resolution of PET, variation apparent arterial signal may be influenced by blood FDG activity that cannot fully corrected for using typical normalization strategies. The purpose this study was evaluate ability current common methods normalize and investigate alternative more accurate quantification vascular inflammation.The relationship...

10.1371/journal.pone.0187995 article EN public-domain PLoS ONE 2017-11-13

We present a method to leverage the high fidelity of computed tomography (CT) quantify regional left ventricular function using topography variation endocardium as surrogate measure strain. 4DCT images 10 normal and abnormal subjects, acquired with standard clinical protocols, are used. The is characterized by its values fractal dimension (<italic>F</italic><sub>D</sub>), box-counting algorithm developed in-house. average <italic>F</italic><sub>D</sub> in each 16 American Heart Association...

10.1117/1.jmi.6.4.046002 article EN Journal of Medical Imaging 2019-11-08

Abstract Atrial fibrillation (AF) alters left atrial (LA) hemodynamics, which can lead to thrombosis in the appendage (LAA), systemic embolism and stroke. A personalized risk-stratification of AF patients for stroke would permit improved balancing preventive anticoagulation therapies against bleeding risk. We investigated how LA anatomy function impact LAA explored whether patient-specific analysis by computational fluid dynamics (CFD) predict risk thrombosis. analyzed 4D-CT acquisitions...

10.1101/2020.05.07.083220 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2020-05-09

Abstract The lack of mechanically effective contraction the left atrium (LA) during atrial fibrillation (AF) disturbs blood flow, increasing risk thrombosis and ischemic stroke. Thrombosis is most likely in appendage (LAA), a small narrow sac where prone to stagnate. Slow flow promotes formation erythrocyte aggregates LAA, also known as rouleaux, causing viscosity gradients that are usually disregarded patient-specific simulations. To evaluate these non-Newtonian effects, we built models...

10.1101/2021.06.24.449801 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2021-06-25

Purpose To assess whether octree representation and octree-based convolutional neural networks (CNNs) improve segmentation accuracy of three-dimensional images. Materials Methods Cardiac CT angiographic examinations from 100 patients (mean age, 67 years ± 17 [standard deviation]; 60 men) performed between June 2012 2018 with semantic segmentations the left ventricular (LV) atrial (LA) blood pools at end-diastolic end-systolic cardiac phases were retrospectively evaluated. Image quality (root...

10.1148/ryai.2021210036 article EN Radiology Artificial Intelligence 2021-09-29

Modern computed tomographic scanning can produce 4-dimensional images of the left atrial appendage (LAA). LAA function and morphology then be measured, to plan interventions such as occlusion evaluate flow for thrombogenic risk analysis. A current problem here is defining a reproducible boundary between atrium.

10.1161/circimaging.119.009075 article EN Circulation Cardiovascular Imaging 2019-12-01

Introduction: Arrhythmogenic right ventricular cardiomyopathy (ARVC) is an inherited characterized by regional wall motion abnormalities of the ventricle (RV) that have not previously been quantified, resulting in challenges / errors diagnosis disease. RV strain poorly assessed with tagged cardiac magnetic resonance (CMR) due to thin wall. We applied novel feature tracking analysis assess patients ARVC. Methods: 106 subjects (30 controls, 37 preclinical ARVC [mutation+], and 39 overt...

10.1161/circ.130.suppl_2.16584 article EN Circulation 2014-11-25
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