A5026356005- Cardiac Imaging and Diagnostics
- Advanced MRI Techniques and Applications
- Cardiovascular Function and Risk Factors
- Aortic Disease and Treatment Approaches
- Cardiovascular Health and Disease Prevention
- Cardiac Valve Diseases and Treatments
- Non-Invasive Vital Sign Monitoring
- Aortic aneurysm repair treatments
- Sparse and Compressive Sensing Techniques
- Cardiac, Anesthesia and Surgical Outcomes
- Vascular anomalies and interventions
- Atrial Fibrillation Management and Outcomes
- Renal and Vascular Pathologies
- Aortic Thrombus and Embolism
- Medical Imaging Techniques and Applications
- Atomic and Subatomic Physics Research
- Photoacoustic and Ultrasonic Imaging
- Antiplatelet Therapy and Cardiovascular Diseases
- Esophageal Cancer Research and Treatment
- Image and Signal Denoising Methods
- Cardiovascular Disease and Adiposity
- Health Systems, Economic Evaluations, Quality of Life
- Congenital Heart Disease Studies
- Dysphagia Assessment and Management
- Hemodynamic Monitoring and Therapy
Northwestern University
2019-2024
Northwestern Medicine
2023
Stanford University
2014-2017
Resonance Research (United States)
2016
Purpose Methods for direct visualization of compact bone using MRI have application in several “MR‐informed” technologies, such as MR‐guided focused ultrasound, MR‐PET reconstruction and radiation therapy. The specificity imaging can be improved by manipulating image sensitivity to Bloch relaxation phenomena, facilitating distinction from other tissues detected MRI. From equation dynamics, excitation pulses suitable creating specific short‐ T 2 magnetization cortical are identified. These...
To develop a radial, double-echo steady-state (DESS) sequence with ultra-short echo-time (UTE) capabilities for T2 measurement of short-T2 tissues along simultaneous rapid, signal-to-noise ratio (SNR)-efficient, and high-isotropic-resolution morphological knee imaging.THe 3D radial UTE readouts were incorporated into DESS, termed UTEDESS. Multiple-echo-time UTEDESS was used performing relaxometry tendons, ligaments, menisci; Dixon water-fat imaging. In vivo estimate repeatability SNR...
Dynamic magnetic resonance imaging (MRI) is a popular medical technique that generates image sequences of the flow contrast material inside tissues and organs. However, its application to bolus movement through esophagus has only been demonstrated in few feasibility studies relatively unexplored. In this work, we present computational framework called mechanics-informed MRI (MRI-MECH) enhances capability, thereby increasing applicability dynamic for diagnosing esophageal disorders. Pineapple...
Background Aortopathy is common with bicuspid aortic valve (BAV), and underlying intrinsic tissue abnormalities are believed causative. Valve‐mediated hemodynamics altered in BAV may contribute to aortopathy its progression. The contribution of defects versus progression not known. Purpose To investigate relative contributions tissue‐innate aortopathy. Study Type Retrospective. Subjects Four hundred seventy‐three patients dilatation (diameter ≥40 mm; comprised 281 varied AS severity, 192...
Aortic valve replacement (AVR) is a common treatment for severe aortic disease, which can adversely affect blood flow in the aorta. Seismocardiography (SCG) measures physical vibrations at exterior of chest, be sensitive to altered cardiac function and dynamics. Magnetic resonance imaging (MRI) image movement, it provide depiction quantification flow. Here we present SCG MRI measurements from before after AVR ascending aorta replacement, case woman with bicuspid disease dilated show elevated...
A generalized data-processing pipeline tool for performing completely automated hemodynamic assessment from raw 4D flow MR images is presented. The evaluated performance in a group of 271 subjects with mixed distribution healthy, valve disease, and connective-tissue disorder status. high success rate 94% achieved fully-automated quantification regional aortic peak velocities global pulse wave velocity.
Quantitative overview of 4D flow derived aortic hemodynamic parameters such as kinetic energy, peak velocity, and pulse wave velocity in a cohort pediatric patients with connective tissue disorders Marfan Syndrome (MFS), Loeys-Dietz (LDS), Vascular Ehlers-Danlos (EDS), using fully automated pipeline. A statistically significant trend increased - an important measure vessel stiffness, increasing age was observed for this cohort. No association found between PWV all mean diameters when controlled age.
We pursued a deep learning approach to investigate the utilization of wearable seismocardiography (SCG) device predict measures flow similar those obtained using 4D MRI. SCG can measure chest vibrations caused by cardiac mechanical activities such as valve closures and changes pulsatile flow. hypothesized that be used infer pathological in blood flow, higher systolic peak velocity (Vmax) patients with aortic diseases, from signals.