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Abstract #0900

Automatic analysis of cardiovascular magnetic resonance 2D phase contrast CMR imaging

Jorge Mariscal-Harana1, Ciaran O'Hanlon1, Carlota Asegurado Marquez1, Marwenie Petalcorin1, Reza Razavi1,2, Andrew P King1, Bram Ruijsink1,2,3, and Esther Puyol-Antón1
1School of Biomedical Engineering and Imaging Science, King's College London, London, United Kingdom, 2Department of Adult and Paediatric Cardiology, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom, 3Department of Cardiology, Heart and Lung Division, University Medical Center Utrecht, Utrecht, Netherlands


Cardiovascular magnetic resonance (CMR) based flow volume quantification in the great thoracic vessels is used in the assessment of several cardiovascular diseases such as valvular regurgitation, cardiac shunts and vascular health. Clinically, flow volume quantification is often performed based on semi-automatic segmentation of a vessel throughout the cardiac cycle in a manually positioned 2D phase-contrast (PC) CMR plane. In this work, we proposed a quality-controlled AI-based framework for automatic flow quantification from a full CMR scan that includes automated view selection. Results show high accuracy in view selection and excellent agreement between manual and automated flow quantification analysis.

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