Abstract #2531

Quantitative Measures of Right Ventricular Shape Abnormalities in ARVC Patients from CMR

Kristin Mcleod^1,2, Samuel Wall^1,2, Jørg Saberniak^2,3, and Kristina Haugaa^2,3

¹Computational Cardiac Modelling Department, Simula Research Laboratory, Oslo, Norway, ²Centre for Cardiological Innovation, Oslo, Norway, ³Department of Cardiology, Oslo University Hospital, Rikshospitalet, Oslo, Norway

Better understanding of the impact that disease has on ventricular shape remodeling and improved tools for quantifying disease severity are needed in complex diseases such as ARVC. We propose a method to automatically characterise right ventricular shape features in ARVC patients using statistical methods applied to shapes extracted from CMR images in a population of 27 ARVC patients. In addition to characterizing the typical shape features in ARVC, the level of severity of any given shape feature (e.g. dilation) can be measured in a new patient to quantify the degree in which that specific feature is present in that patient.

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