Bradley D. Allen

ORCID: 0000-0002-0667-137X
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About
Contact & Profiles
Research Areas
  • Cardiac Imaging and Diagnostics
  • Advanced MRI Techniques and Applications
  • Cardiac Valve Diseases and Treatments
  • Aortic Disease and Treatment Approaches
  • Cardiovascular Function and Risk Factors
  • Aortic aneurysm repair treatments
  • Advanced X-ray and CT Imaging
  • Medical Imaging Techniques and Applications
  • Cardiomyopathy and Myosin Studies
  • Congenital Heart Disease Studies
  • Atomic and Subatomic Physics Research
  • Pulmonary Hypertension Research and Treatments
  • Cardiovascular Health and Disease Prevention
  • Radiation Dose and Imaging
  • Cardiovascular Disease and Adiposity
  • Cardiac Structural Anomalies and Repair
  • Art History and Market Analysis
  • Architecture and Computational Design
  • Atrial Fibrillation Management and Outcomes
  • Cardiovascular Effects of Exercise
  • Coronary Artery Anomalies
  • Viral Infections and Immunology Research
  • Aortic Thrombus and Embolism
  • COVID-19 diagnosis using AI
  • Ultrasound in Clinical Applications

Northwestern University
2016-2025

Prince Charles Hospital
2025

Radboud University Medical Center
2025

University Hospital and Clinics
2025

Radboud University Nijmegen
2025

Mayo Clinic in Arizona
2025

University Medical Center
2025

University Health Network
2024-2025

University of Washington
2025

Intel (United States)
2024

Background There are characteristic findings of coronavirus disease 2019 (COVID-19) on chest images. An artificial intelligence (AI) algorithm to detect COVID-19 radiographs might be useful for triage or infection control within a hospital setting, but prior reports have been limited by small data sets, poor quality, both. Purpose To present DeepCOVID-XR, deep learning AI radiographs, that was trained and tested large clinical set. Materials Methods DeepCOVID-XR is an ensemble convolutional...

10.1148/radiol.2020203511 article EN Radiology 2020-11-24

Despite decades of accruing evidence supporting the clinical utility cardiovascular magnetic resonance (CMR), adoption CMR in routine practice remains limited many regions world. Persistent use long scan times 60 min or more contributes to adoption, though techniques available on most scanners afford examination within 30 min. Incorporating such into standardize protocols can answer common questions daily practice, including those related heart failure, cardiomyopathy, ventricular...

10.1186/s12968-022-00844-6 article EN cc-by Journal of Cardiovascular Magnetic Resonance 2022-01-01

Purpose To compute cohort-averaged wall shear stress (WSS) maps in the thoracic aorta of patients with aortic dilatation or valvular stenosis and to detect abnormal regional WSS. Methods Systolic WSS vectors, estimated from four-dimensional flow MRI data, were calculated along lumen 10 controls, dilated aortas, valve stenosis. Three-dimensional segmentations each coregistered by group used create a cohort-specific geometry. The vectors subject interpolated onto corresponding geometry maps. A...

10.1002/mrm.25224 article EN Magnetic Resonance in Medicine 2014-04-18

Purpose To test the feasibility and effectiveness of using maximum intensity plots (MIPs) based on 4D flow magnetic resonance imaging (MRI) velocity data to assess systolic peak velocities in a cohort bicuspid aortic valve (BAV) patients. Materials Methods MRI at 1.5T was performed 51 BAV MIPs were generated from used by two users determine three regions interest (ROIs): ascending aorta (AAo), arch, descending aorta. AAo compared recorded 2D phase contrast (2D PCMRI) subcohort 36 patients...

10.1002/jmri.25305 article EN Journal of Magnetic Resonance Imaging 2016-05-18

10.1016/j.jocmr.2024.101791 article EN cc-by-nc-nd Journal of Cardiovascular Magnetic Resonance 2025-01-01

Background To evaluate the 3D hemodynamics in thoracic aorta of pediatric and young adult bicuspid aortic valve (BAV) patients. Methods 4D flow MRI was performed 30 BAV patients (age: 13.9 ± 4.4 (range: [3.4, 20.7]) years old, M:F = 17:13) as part this Institutional Review Board‐approved study. Nomogram‐based root Z‐scores were calculated to assess dilatation degree stenosis (AS) severity assessed on MRI. Data analysis included calculation time‐averaged systolic wall shear stress (WSS sys )...

10.1002/jmri.24847 article EN Journal of Magnetic Resonance Imaging 2015-01-22

The purpose of this study was to compare dissection flap fenestration visualization between 4D flow MRI, clinical MRI/MRA, and CTA studies describe the presence hemodynamically active using flow.Nineteen patients with type B (age: 57±5 years) who had undergone standard of-care MRI/MRA chest including MRI were retrospectively identified. Fourteen 19 also performed within 2 years no interval surgery. Image review independently by two radiologists. number fenestrations (including entry exit...

10.1148/ryct.2019180009 article EN Radiology Cardiothoracic Imaging 2019-04-01

Background Systematic evaluation of complex flow in the true lumen and false (TL, FL) is needed to better understand which patients with chronic descending aortic dissection (DAD) are predisposed complications. Purpose To develop quantitative hemodynamic maps from 4D MRI for evaluating TL FL characteristics. Study Type Retrospective. Population In all, 20 DAD (age = 60 ± 11 years; 12 male) (six medically managed type B AD [TBAD], 14 repaired A [rTAAD] now ascending graft [AAo] or elephant...

10.1002/jmri.26986 article EN Journal of Magnetic Resonance Imaging 2019-11-12

In patients with bicuspid aortic valve (BAV), 4D flow MRI can quantify regions exposed to abnormal hemodynamics, including high wall shear stress (WSS), a known stimulus for arterial dysfunction. However, the long-term multiscan reproducibility of MRI-derived hemodynamic parameters is unknown.

10.1002/jmri.29305 article EN Journal of Magnetic Resonance Imaging 2024-03-01

Hypertrophic cardiomyopathy (HCM) is associated with altered hemodynamics in the left ventricular outflow tract (LVOT) and myocardial tissue abnormalities such as fibrosis. The aim of this study was to quantify changes LVOT 3D extracellular volume fraction (ECV, measure fibrosis) investigate relationships between elevated flow metrics (LV) abnormalities.Cardiac magnetic resonance imaging (MRI) including 4D (field strength = 1.5T, resolution 2.1-4.0 × 2.5-3.2 mm(3) ; venc 150-250 cm/s;...

10.1002/jmri.24962 article EN Journal of Magnetic Resonance Imaging 2015-07-31

The 2019 Coronavirus (COVID-19) results in a wide range of clinical severity and there remains need for prognostic tools which identify patients at risk rapid deterioration who require critical care. Chest radiography (CXR) is routinely obtained admission COVID-19 patients. However, little known regarding correlates between CXR time to intubation. We hypothesize that the degree opacification on independently predicts intubation.In this retrospective cohort study, we reviewed were admitted an...

10.1007/s00330-020-07354-y article EN other-oa European Radiology 2020-10-13
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