Frontiers in Cardiovascular Medicine (Apr 2023)
Radiomics-based aortic flow profile characterization with 4D phase-contrast MRI
- Markus Huellebrand,
- Markus Huellebrand,
- Markus Huellebrand,
- Lina Jarmatz,
- Lina Jarmatz,
- Chiara Manini,
- Chiara Manini,
- Ann Laube,
- Ann Laube,
- Ann Laube,
- Matthias Ivantsits,
- Matthias Ivantsits,
- Jeanette Schulz-Menger,
- Jeanette Schulz-Menger,
- Jeanette Schulz-Menger,
- Sarah Nordmeyer,
- Sarah Nordmeyer,
- Sarah Nordmeyer,
- Andreas Harloff,
- Andreas Harloff,
- Jochen Hansmann,
- Sebastian Kelle,
- Sebastian Kelle,
- Sebastian Kelle,
- Anja Hennemuth,
- Anja Hennemuth,
- Anja Hennemuth,
- Anja Hennemuth,
- Anja Hennemuth
Affiliations
- Markus Huellebrand
- Deutsches Herzzentrum der Charité, Berlin, Germany
- Markus Huellebrand
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- Markus Huellebrand
- Fraunhofer Institute for Digital Medicine MEVIS, Berlin, Germany
- Lina Jarmatz
- Deutsches Herzzentrum der Charité, Berlin, Germany
- Lina Jarmatz
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- Chiara Manini
- Deutsches Herzzentrum der Charité, Berlin, Germany
- Chiara Manini
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- Ann Laube
- Deutsches Herzzentrum der Charité, Berlin, Germany
- Ann Laube
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- Ann Laube
- DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany
- Matthias Ivantsits
- Deutsches Herzzentrum der Charité, Berlin, Germany
- Matthias Ivantsits
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- Jeanette Schulz-Menger
- Charité Universitätsmedizin Berlin, Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité Universitätsmedizin Berlin and the Max-Delbrück-Center for Molecular Medicine, Berlin, Germany
- Jeanette Schulz-Menger
- DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany
- Jeanette Schulz-Menger
- Helios Hospital Berlin-Buch, Department of Cardiology and Nephrology, Berlin, Germany
- Sarah Nordmeyer
- Deutsches Herzzentrum der Charité, Berlin, Germany
- Sarah Nordmeyer
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- Sarah Nordmeyer
- DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany
- Andreas Harloff
- Department of Neurology, University Medical Center Freiburg, Freiburg, Germany
- Andreas Harloff
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Jochen Hansmann
- Department of Radiology, Theresienkrankenhaus und St. Hedwig-Klinik, Mannheim, Germany
- Sebastian Kelle
- Deutsches Herzzentrum der Charité, Berlin, Germany
- Sebastian Kelle
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- Sebastian Kelle
- DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany
- Anja Hennemuth
- Deutsches Herzzentrum der Charité, Berlin, Germany
- Anja Hennemuth
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- Anja Hennemuth
- Fraunhofer Institute for Digital Medicine MEVIS, Berlin, Germany
- Anja Hennemuth
- DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany
- Anja Hennemuth
- 0Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- DOI
- https://doi.org/10.3389/fcvm.2023.1102502
- Journal volume & issue
-
Vol. 10
Abstract
4D PC MRI of the aorta has become a routinely available examination, and a multitude of single parameters have been suggested for the quantitative assessment of relevant flow features for clinical studies and diagnosis. However, clinically applicable assessment of complex flow patterns is still challenging. We present a concept for applying radiomics for the quantitative characterization of flow patterns in the aorta. To this end, we derive cross-sectional scalar parameter maps related to parameters suggested in literature such as throughflow, flow direction, vorticity, and normalized helicity. Derived radiomics features are selected with regard to their inter-scanner and inter-observer reproducibility, as well as their performance in the differentiation of sex-, age- and disease-related flow properties. The reproducible features were tested on user-selected examples with respect to their suitability for characterizing flow profile types. In future work, such signatures could be applied for quantitative flow assessment in clinical studies or disease phenotyping.
Keywords
