Quantitative Measures of Right Ventricular Shape Abnormalities in ARVC Patients from CMR
Kristin Mcleod1,2, Samuel Wall1,2, Jørg Saberniak2,3, and Kristina Haugaa2,3
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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