Radiomics-based aortic flow profile characterization with 4D phase-contrast MRI

Frontiers in Cardiovascular Medicine

Cardiovascular Medicine

Jeanette Schulz-Menger¹  Andreas Harloff²  Jochen Hansmann³  Lina Jarmatz⁴  Chiara Manini⁴  Matthias Ivantsits⁴  Sarah Nordmeyer⁵  Sebastian Kelle⁵  Ann Laube⁵  Markus Huellebrand⁶  Anja Hennemuth⁷ 

[1] 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;DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany;Helios Hospital Berlin-Buch, Department of Cardiology and Nephrology, Berlin, Germany;Department of Neurology, University Medical Center Freiburg, Freiburg, Germany;Faculty of Medicine, University of Freiburg, Freiburg, Germany;Department of Radiology, Theresienkrankenhaus und St. Hedwig-Klinik, Mannheim, Germany;Deutsches Herzzentrum der Charité, Berlin, Germany;Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany;Deutsches Herzzentrum der Charité, Berlin, Germany;Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany;DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany;Deutsches Herzzentrum der Charité, Berlin, Germany;Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany;Fraunhofer Institute for Digital Medicine MEVIS, Berlin, Germany;Deutsches Herzzentrum der Charité, Berlin, Germany;Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany;Fraunhofer Institute for Digital Medicine MEVIS, Berlin, Germany;DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany;Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany;

关键词: Radiomics;    4D PC-MRI;    flow profile;    aortic valve stenosis;    population;    travelling volunteers;    reproduciblity;   

DOI  :  10.3389/fcvm.2023.1102502

 received in 2022-11-18, accepted in 2023-03-06,  发布年份 2023

来源: Frontiers

【 摘 要 】

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.

【 授权许可】

Unknown   
© 2023 Huellebrand, Jarmatz, Manini, Laube, Ivantsits, Schulz-Menger, Nordmeyer, Harloff, Hansmann, Kelle and Hennemuth.