David Marlevi

David Marlevi

Biträdande Lektor | Docent
E-postadress: david.marlevi@ki.se
Besöksadress: Eugeniavägen 3, Karolinska universitetssjukhuset, NKS A8:01, 17176 Stockholm
Postadress: K1 Molekylär medicin och kirurgi, K1 MMK Klinisk fysiologi, 171 76 Stockholm
Del av:

Om mig

  • I am a research lead in quantitative cardiovascular imaging, developing data-driven image analysis tools to tackle urgent clinical challenges across
    the heart, aorta, and brain. I am a biomedical engineer with a focus on translational cardiovascular imaging. Specifically, I am intrigued by the translation of image-based engineering into clinical practice, using data-driven utilities to enhance diagnosis, improve prognosis, and provide fundamental mecanistic understanding of cardiovascular disease. After graduating from the joint doctoral program in Medical Technology from
    the Royal Institute of Technology (KTH) and KI with a thesis entitled "Non-invasive imaging for improved cardiovascular care", I spent two 
    years as a postdoctoral fellow at the Massachusetts Institute of Technology (MIT), funded by a Knut and Alice Wallenberg foundation scholarship and working under the tutelage of Prof. Elazer R. Edelman (edelmanlab). At MIT, I worked on AI-driven image analysis to monitor intravascular
    interventions, as well as lead lab efforts on novel vascular drug delivery systems. In 2021, I returned to Sweden and KI as a research lead in
    quantitative cardiovascular imaging, working closely with clinical and technical fellows at both KI and the Karolinska University Hospital to
    translate advanced image technologies into clinical practice. Specific focuses has been on hemodynamic mapping by full-field phase-contrast magnetic resonance imaging (4D Flow MRI), with coupled physics-informed analysis allowing for regional hemodynamic quantifications across the cardiovascular system.

     
    * Early Career Award – Translational Science, Society for Cardiovascular
    Magnetic Resonance (SCMR), 2021
    * Runner-up, Best presentation in Basic science, 1st Annual Marvin M. Kirsh
    Resident Research Symposium, University of Michigan, 2021
    * Potchen-Pasariello Award – Best presentation in Clinical Science,
    Society for Magnetic Resonance Angiography (SMRA), 2020
    * Trainee grant, IEEE Nuclear Science Symposium and Medical Imaging
    Conference, 2015
    * Travel award, IEEE International Ultrasonics Symposium, 2015
    * KTH Best graduate student of the year, KTH Royal Institute of Technology,
    2014
    * Endeavour Research Award, Australian Government Research Award fellowship
    * Henrik Göransson Sandviken scholarship, 2011
    * Hjalmar Berwalds minne för framstående matematiska studier, 2010

Forskningsbeskrivning

  • Non-invasive estimation of cardiovascular pressure gradients:

    Regional quantification of cardiovascular pressure gradients is critical for diagnosis, treatment planning, and risk prediction of many cardiovascular
    disease. Still, for a large number of conditions, non-invasive assessment is obstructed by inherent method limitations, and a wide range of clinical
    instances exist where regional pressure behaviour remains unexplored. To tackle this, we have recently deployed a combination of physics-informed image analysis (invoking fundamental fluid mechanical description of blood flow) and full-field flow imaging (4D Flow MRI) to allow for arbitrary probing of pressure gradients across previously inaccessible compartments. Here, we seek to extend these utilities to further understand
    early hemodynamic changes indicative of later physiological impairement, including validation, implementation, and clincial utility across spatial
    (large / small vessels), temporal (fast / slow flows) and flow (laminar / turbulent) scales.

     
    Super-resolution 4D Flow MRI:

    The advent of full-field flow imaging by 4D Flow MRI has fundamentally changed our ability to interrogate complex hemodynamic behaviour in a direct clinical setting. However, spatiotemporal limitations exist based on the clinical time frames in which the systems can be used, obstructing assessment of regional or highly transient flow events. To tackle this, we have recently employed deep residual networks to enhance spatial image resolution, effectively pushing quantitative 4D imaging into challenging intracranial vessels. Now, we seek to extend the same utilities into temporally challenging flows such as in the heart, or through complex aortic disease. Further inclusion of so called physics-informed networks are also expected to expand clinical impact and versatility of 4D Flow MRI across a wide cardiovascular application range.

Artiklar

Alla övriga publikationer

Forskningsbidrag

  • Avbildning av spatiell aterosklerosrisk - fördjupad förståelse kring regional plackinstabilitet genom flerdimensionell analys
    Vetenskapsrådet
    1 January 2026 - 31 December 2029
  • Swedish Heart-Lung Foundation
    1 January 2026 - 31 December 2028
    Background: Hypertrophic cardiomyopathy (HCM) is characterized by unexplained thickening of the left ventricle, with cardiovascular magnetic resonance (CMR) playing a key role in diagnosis. Around two-thirds of patients show left ventricular outflow tract obstruction (HOCM), for which treatment options include surgical myectomy or the less invasive alcohol septal ablation (ASA), commonly used in Sweden. Mavacamten, a new drug treatment, is under investigation for use in HOCM, however, has not yet been approved in Sweden. Supported by the Swedish Heart-Lung Foundation, our team at Karolinska University Hospital have been conducting a CMR-based study on ASA. In parallel, partners at the University of Michigan have mirrored our imaging protocol, however, running on patients administered mavacamten, enabling collaborative work into the mechanisms and outcomes of both treatments, where better understanding and personalized markers are still urgently needed. Objective: The aim of this proposal is to improve care of patients with HOCM by utilizing advanced CMR in direct conjunction to interventional ASA and mavacamten, respectively, improving mechanistic insight into treatment effect and optimizing individualized treatment selection. The governing hypotheses are that advanced CMR (1) allows for quantitative estimation of short- and long-term effect of treatment on cardiac behaviour
    (2) offers novel imaging markers to predict outcome after treatment, and (3) provides optimal identification of HOCM candidates for either ASA or mavacamten. Work plan: The proposal is centred around two prospective trials in Sweden and the US. By mirrored protocols, CMR imaging pre- vs. post treatment will elucidate 3D anatomy, morphology, and intracavitary hemodynamics. Image and clinical data will be quantified to provide mechanistic insight into how cardiac behaviour is altered by treatment, how long-term effect can be prognosticated, and how different baseline characteristics separates candidates viable for ASA vs. mavacamten. Significance: The proposal provides novel insight into the etiology of HOCM, offers non-invasive tools for predicting outcome after treatment, and uniquely enables direct comparison between state-of-the-art intervention with a novel drug target. Based in an optimally assembled multidisciplinary research team, and coupled to clinical trials in both Sweden and the US, the proposal is uniquely positioned for scientific and clinical impact.
  • Europeiska forskningsrådet
    1 May 2023 - 1 May 2028
  • European Research Council
    1 May 2023 - 30 April 2028
    Regional quantification of cardiovascular pressure gradients is critical for diagnosis, treatment planning, and risk prediction of many cardiovascular diseases. Still, for a large number of conditions, non-invasive assessment is obstructed by inherent method limitations, and a wide range of cardiovascular instances exist where regional pressure behaviour remains unexplored. The MultiPRESS project main objective is to develop a novel imaging paradigm for non-invasive assessment of cardiovascular pressure gradients, overcoming critical limitations of existing techniques through a unique multiscale approach. Doing so, the MultiPRESS project seeks to – for the first time – extend non-invasive hemodynamic risk prediction into previously inaccessible cardiovascular domains, advance our knowledge of complex hemodynamic behaviour, and tackle remaining urgent clinical challenges across the heart, aorta, and brain. Using deep integration of advanced full-field magnetic resonance imaging (4D Flow MRI), super-resolution networks, and physics-informed image processing, a set of core developments will allow for unique, comprehensive image-based pressure gradient assessment across (1) spatial (big/small vessels), (2) temporal (fast/slow flows), and (3) flow (laminar/turbulent) scales, with developments consistently validated in dedicated in-silico, in-vitro, and in-vivo cohorts. These developments will then be utilized on a set of core applications across (4) cardiovascular scales (heart/aorta/brain), addressing urgent clinical challenges and extending image-based pressure gradient quantification through previously inaccessible domains. Based in a unique multidisciplinary setting at Scandinavia’s largest university hospital, successful delivery of MultiPRESS will represent a paradigm shift in clinical hemodynamic risk prediction, and pave way for new scientific knowledge revitalizing risk stratification of complex cardiovascular disease across the heart, aorta, and brain.
  • Swedish Heart-Lung Foundation
    1 January 2023 - 31 December 2024
  • Swedish Research Council
    1 January 2023 - 31 December 2026
    What will be done? The aim of this proposal is to provide a framework for non-invasive, image-based assessment of pressure gradients throughout the cardiovascular system, where critical limitations of spatial, temporal, and flow scales are overcome in a unique multiscale approach.How will it be done? Combining full-field magnetic resonance imaging (4D Flow MRI) with physics-informed, neural network-based image analysis, a set of specific aims will allow for pressure gradient assessment across spatial (big/small vessels), temporal (fast/slow flows), and flow (laminar/turbulent flows) scales. Being trained and validated across dedicated in-silico, in-vitro, and in-vivo cohorts, the framework will be ready for direct clinical use, enabling imaging of pressure gradients across previously inaccessible cardiovascular scales (heart/aorta/brain).Why is this important? Estimation of cardiovascular pressure gradients is critical for diagnosis and treatment of many cardiovascular diseases. Still, for a large number of conditions, routine assessment is hindered by complex 3D flow, poor spatiotemporal image resolution, or turbulence-driven flow.Why us? The PI is a recognised expert in quantitative translational flow imaging. Now returning from a fellowship at the Massachusetts Institute of Technology, this 4-year project will establish this unique line of research in Sweden, gathering a dedicated set of collaborators from technical and clinical fields to ensure feasibility and impact.

Anställningar

  • Biträdande Lektor, Molekylär medicin och kirurgi, Karolinska Institutet, 2025-2030
  • Postdoktor, Molekylär medicin och kirurgi, Karolinska Institutet, 2021-2024
  • Postdoctoral Researcher, Institute for Medical Engineering & Science, Massachusetts Institute of Technology, 2019-2021

Examina och utbildning

  • Docent, Medicinsk bildvetenskap, Karolinska Institutet, 2025
  • Doctor Of Philosophy, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, 2019
  • MEDICINE DOKTORSEXAMEN, Institutionen för kliniska vetenskaper, Danderyds sjukhus, Karolinska Institutet, 2019

Handledning

  • Handledning till doktorsexamen

    • Lechner Vincent, 2025-
    • Evangelos Stamos, 2025-
    • Oliver Welin Odeback, Data-driven 4D Flow MRI for non-invasive quantification of intracranial hemodynamics, 2023-
    • Pia Callmer, 2023-
    • Joakim Norderfeldt, 2022-

  • Handledning av postdoktorala forskare

    • Pau Romero, 2025

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