\bf Purpose: Coarctation of the aorta (CoA) is a congenital heart disease characterized by an abnormal narrowing of the proximal descending aorta. Severity of this pathology is quantified by the blood pressure drop ($\triangle P$) across the stenotic coarctation lesion. In order to evaluate the physiological significance of the pre-operative coarctation and to assess the post-operative results, the hemodynamic analysis is routinely performed by measuring the blood pressure drop ($\triangle P$) across the coarctation site via invasive cardiac catheterization.\\ The focus of this work is to present an alternative, non-invasive measurement of blood pressure drop $\triangle P$ through the introduction of a fast, image-based workflow for personalized computational modeling of the CoA hemodynamics. \bf Methods: We propose an end-to-end system comprised of shape and computational models, their personalization setup using MR imaging, and a fast, non-invasive method based on computational fluid dynamics (CFD) to estimate the pre- and post-operative hemodynamics for coarctation patients. A virtual treatment method is investigated to assess the predictive power of our approach. \bf Results: Automatic thoracic aorta segmentation was applied on a population of 212 3D MR volumes, with mean symmetric point-to-mesh error of $3.00±1.58~ mm$ and average computation time of $8~ s$. Through quantitative evaluation of 6 CoA patients, good agreement between computed blood pressure drop and catheter measurements is shown: average differences are $\myResPRE~ mmHg$ (pre-), $\myResPOST~ mmHg$ (post-operative), and $\myResVS~ mmHg$ (virtual stenting), respectively. \bf Conclusions: The complete workflow is realized in a fast, mostly-automated system that is integrable in the clinical setting. To the best of our knowledge, this is the first time that three different settings (pre-operative - severity assessment, post-stenting - follow-up and virtual stenting - treatment outcome prediction) of CoA are investigated on multiple subjects. We believe that in future -- given wider clinical validation -- our non-invasive ıt in-silico method could replace invasive pressure catheterization for CoA.     «

\bf Purpose: Coarctation of the aorta (CoA) is a congenital heart disease characterized by an abnormal narrowing of the proximal descending aorta. Severity of this pathology is quantified by the blood pressure drop ($\triangle P$) across the stenotic coarctation lesion. In order to evaluate the physiological significance of the pre-operative coarctation and to assess the post-operative results, the hemodynamic analysis is routinely performed by measuring the blood pressure drop ($\triangle P$)...     »