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In vitro Assessment of Aortic Regurgitation Using Four-Dimensional Flow Magnetic Resonance Imaging
Published on: February 25, 2022
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Radiomics-based aortic flow profile characterization with 4D phase-contrast MRI.
Markus Huellebrand1,2,3, Lina Jarmatz1,2, Chiara Manini1,2
1Deutsches Herzzentrum der Charité, Berlin, Germany.
Frontiers in Cardiovascular Medicine
|April 20, 2023
Summary
Radiomics can now quantitatively characterize complex aortic blood flow patterns using 4D PC MRI data. This approach offers reproducible features for assessing flow dynamics in clinical research and disease phenotyping.
Area of Science:
- Cardiovascular Imaging
- Medical Physics
- Radiology
Background:
- 4D Phase Contrast MRI (4D PC MRI) is standard for aorta imaging.
- Quantitative assessment of complex aortic flow patterns remains challenging.
- Existing single parameters offer limited clinical applicability for intricate flow dynamics.
Purpose of the Study:
- To introduce a radiomics-based concept for quantitative characterization of aortic flow patterns.
- To develop reproducible radiomics features for analyzing complex hemodynamics.
- To assess the potential of radiomics in differentiating sex-, age-, and disease-related flow variations.
Main Methods:
- Derivation of cross-sectional scalar parameter maps from 4D PC MRI data.
- Calculation of radiomics features including throughflow, flow direction, vorticity, and normalized helicity.
- Selection of features based on inter-scanner/inter-observer reproducibility and differentiation performance.
Main Results:
- Identified reproducible radiomics features applicable to aortic flow patterns.
- Demonstrated the suitability of selected features for characterizing different flow profile types.
- Validated feature performance in differentiating sex, age, and disease-related flow properties.
Conclusions:
- Radiomics offers a promising approach for quantitative characterization of complex aortic flow.
- Reproducible radiomics features can aid in objective flow assessment.
- Future applications include clinical studies, disease phenotyping, and enhanced diagnostic capabilities.
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