
Michael Markl
· Lester B. and Frances T. Knight Professor of Cardiac ImagingNorthwestern University · Biomedical Engineering
Active 1977–2026
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About
Michael Markl is the Lester B. and Frances T. Knight Professor of Cardiac Imaging and a Professor of Biomedical Engineering at Northwestern University Feinberg School of Medicine. His research program focuses on developing multi-parametric imaging techniques to better understand the physiological mechanisms of heart disease and stroke, as well as the impact of therapy. His work has been instrumental in establishing '4D Flow MRI' for comprehensive assessment of cardiovascular hemodynamics in heart disease and stroke. Additionally, he has contributed to the development, validation, and application of novel imaging tools for evaluating the structure and function of the heart.
Research topics
- Medicine
- Computer Science
- Artificial Intelligence
- Cardiology
- Internal medicine
- Mathematics
- Radiology
- Physics
- Political Science
- Biomedical engineering
Selected publications
4D Flow cardiovascular magnetic resonance consensus statement: 2023 update
Journal of Cardiovascular Magnetic Resonance · 2023 · 242 citations
Hemodynamic assessment is an integral part of the diagnosis and management of cardiovascular disease. Four-dimensional cardiovascular magnetic resonance flow imaging (4D Flow CMR) allows comprehensive and accurate assessment of flow in a single acquisition. This consensus paper is an update from the 2015 '4D Flow CMR Consensus Statement'. We elaborate on 4D Flow CMR sequence options and imaging considerations. The document aims to assist centers starting out with 4D Flow CMR of the heart and gre…
European Journal of Cardio-Thoracic Surgery · 2021 · 198 citations
This International Consensus Classification and Nomenclature for the congenital bicuspid aortic valve condition recognizes 3 types of bicuspid valves: 1. The fused type (right-left cusp fusion, right-non-coronary cusp fusion and left-non-coronary cusp fusion phenotypes); 2. The 2-sinus type (latero-lateral and antero-posterior phenotypes); and 3. The partial-fusion (forme fruste) type. The presence of raphe and the symmetry of the fused type phenotypes are critical aspects to describe. The Inter…
Fully automated 3D aortic segmentation of 4D flow MRI for hemodynamic analysis using deep learning
Magnetic Resonance in Medicine · 2020 · 154 citations
Senior authorCorrespondingPURPOSE: To generate fully automated and fast 4D-flow MRI-based 3D segmentations of the aorta using deep learning for reproducible quantification of aortic flow, peak velocity, and dimensions. METHODS: A total of 1018 subjects with aortic 4D-flow MRI (528 with bicuspid aortic valve, 376 with tricuspid aortic valve and aortic dilation, 114 healthy controls) comprised the data set. A convolutional neural network was trained to generate 3D aortic segmentations from 4D-flow data. Manual segmentation…
JACC. Cardiovascular imaging · 2021 · 83 citations
Senior authorCorrespondingWall Shear Stress Estimation for 4D Flow MRI Using Navier–Stokes Equation Correction
Annals of Biomedical Engineering · 2022 · 21 citations
Recent grants
Aortic Plaques and Stroke: Cardiovascular Therapy of Retrograde Embolization Risk
NIH · $425k · 2016–2019
Non-invasive Evaluation of Intracranial Atherosclerotic Disease Using Hemodynamic Biomarkers
NIH · $1.9M · 2020–2025
Graduate Training Program for Magnetic Resonance Imaging
NIH · $1.4M · 2019–2029
Frequent coauthors
- 338 shared
James Carr
Environmental Molecular Sciences Laboratory
- 328 shared
Alex J. Barker
- 205 shared
Jeremy D. Collins
Mayo Clinic in Arizona
- 166 shared
Susanne Schnell
- 136 shared
Cynthia K. Rigsby
Lurie Children's Hospital
- 123 shared
Joshua D. Robinson
Lurie Children's Hospital
- 109 shared
Bradley D. Allen
Toronto General Hospital
- 106 shared
Patrick M. McCarthy
Labs
Markl LabPI
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