Alexander Fyrdahl

Alexander Fyrdahl

Research Infrastructure Specialist
Telephone: +46852482713
Visiting address: Eugeniavägen 3, Karolinska universitetssjukhuset, NKS A8:01, 17176 Stockholm
Postal address: K1 Molekylär medicin och kirurgi, K1 MMK Klinisk fysiologi, 171 76 Stockholm

About me

  • As a medical physicist specializing in cardiovascular magnetic resonance imaging, my primary research interests include real-time and motion-robust imaging, three-dimensional whole-heart imaging, and non-Cartesian trajectory design. Additionally, I am dedicated to advancing the clinical application of novel imaging techniques through the development of online reconstruction and inline analysis methods.

    Upon completing my doctorate at KI, where I defended my thesis titled "Applications of the Golden-Angle in Cardiovascular MRI, " I proceeded to spend two years as a postdoctoral fellow at the University of Michigan. There, I collaborated with Associate Professor Nicole Seiberlich at the Michigan Institute for Imaging Technology and Translation (MIITT). My work focused on creating methods for real-time cardiovascular imaging at low-field (0.55T) MRI scanners and contributing to lab-wide efforts on Cardiac Magnetic Resonance Fingerprinting (MRF). I developed a method for reconstructing cMRF images directly on the scanner within a clinically viable timeframe, utilizing AI-assisted Bloch equation simulations and GPU acceleration.

    Since 2022, I have returned to KI and joined the Clinical Physiology research group within the Department of Molecular Medicine and Surgery. My current work revolves around motion-robust cardiovascular imaging and parametric mapping using Cardiac MRF.

Selected publications

Articles

All other publications

Grants

  • Swedish Research Council
    1 January 2023 - 31 December 2026
    Impaired cardiac function often results in heart failure which represents a major burden of morbidity and mortality. Cardiac magnetic resonance imaging (MRI) is considered to be the reference method for assessment of cardiac function. However, the relatively long scan times makes MRI sensitive to motion. Most current cardiac MRI techniques require multiple breath holds, which many patients with heart failure are unable to perform., resulting in non-diagnostic image quality. The aim of this project is to develop a novel framework for adaptive image acquisition, where the pulse sequence is controlled by online motion estimators. This will enable acquisition that is robust to respiratory motion and arrhythmia, as well as fetal motion during examination of fetal hearts. The methods will be evaluated both in healthy volunteers, heart failure patients, and in pregnant women. The pulse sequence and corresponding image reconstruction will be implemented directly on the clinical scanner platform, making it immediately available for clinical use. The research will take place immersed in a clinical environment at the Karolinska University Hospital, with full access to dedicated cardiac MRI scanners and relevant patient populations. The proposed approach is highly original, fills an important unmet clinical need in medicine, and involves novel approaches that push the technical limits of image acquisition and reconstruction beyond state-of-the-art.

Employments

  • Research Infrastructure Specialist, Department of Molecular Medicine and Surgery, Karolinska Institutet, 2023-

Degrees and Education

  • Degree Of Doctor Of Philosophy, Department of Molecular Medicine and Surgery, Karolinska Institutet, 2020
  • Degree of Master, Medical Radiation Physics, Compressed Sensing for Time-Resolved Golden-Angle Radial Cardiac Magnetic Resonance Imaging, Department of Physics, Stockholm University, 2016

Visiting research fellowships

  • Postdoctoral Fellow, University of Michigan, Postdoctoral fellow at the Michigan Institute of Imaging Technology and Translation (MIITT) working on Magnetic Resonance Fingerprinting and real-time cardiac imaging at low-field., https://miitt.med.umich.edu/, 2020-2022

Journal reviewing

  • International Journal of Cardiovascular Imaging, Springer Nature, Anonymous peer review, https://link.springer.com/journal/10554, 2025
  • Scientific Reports, Nature, Anonymous peer review, https://www.nature.com/srep/, 2025
  • Magnetic Resonance in Medicine, Wiley, Anonymous peer review, 2021
  • Journal of Magnetic Resonance in Medicine, Wiley, Anonymous peer review, 2020

News from KI

Events from KI