AUTHOR=Huellebrand Markus , Jarmatz Lina , Manini Chiara , Laube Ann , Ivantsits Matthias , Schulz-Menger Jeanette , Nordmeyer Sarah , Harloff Andreas , Hansmann Jochen , Kelle Sebastian , Hennemuth Anja 

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

JOURNAL=Frontiers in Cardiovascular Medicine

VOLUME=Volume 10 - 2023

YEAR=2023

URL=https://www.frontiersin.org/journals/cardiovascular-medicine/articles/10.3389/fcvm.2023.1102502

DOI=10.3389/fcvm.2023.1102502

ISSN=2297-055X

ABSTRACT=4D PC MRI of the aorta has become a routinely available examination and a multitude of single parameters has been suggested for the quantitative assessment of relevant flow features for clinical studies and diagnosis. However, the clinically applicable assessment of complex flow patterns is still challenging. We present a concept for the application of 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 gender-, age- and disease-related flow properties. This feature subset was used to calculate radiomics signatures of user-selected types of flow profiles. In future work, such signatures could be applied for quantitative flow assessment in clinical studies or disease phenotyping.