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Fig. 5 | Journal of Cardiovascular Magnetic Resonance

Fig. 5

From: A deep learning approach for fully automated cardiac shape modeling in tetralogy of Fallot

Fig. 5

Representative output of the automated cardiac shape modeling pipeline. Extracted contour points for the LV endocardium (green), RV endocardium (yellow), epicardium (cyan), and septum (red) and anatomical landmark points for the MV (blue), AV (green), TV (purple), and PV (red) are shown on corresponding views (outside). The contour points and anatomical landmark points were then fit to a biventricular subdivision surface template mesh resulting in a patient-specific biventricular shape model (center) with surfaces for the LV endocardium (green), RV endocardium (blue), and epicardium (maroon). 2Ch LT two-chamber left, 2Ch RT two-chamber right, 3Ch three-chamber, 4Ch four-chamber, RVOT right ventricular outflow tract; SAx short axis, LV left ventricular, RV right ventricular, MV mitral valve, AV aortic valve, TV tricuspid valve, PV pulmonary valve

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