AuthorsK. S. Mcleod, S. Wall and J. Saberniak
EditorsK. Haugaa
TitleQuantitative Measures of Right Ventricular Shape Abnormalities in ARVC Patients
AfilliationScientific Computing
Project(s)Center for Cardiological Innovation (SFI), Center for Biomedical Computing (SFF)
StatusPublished
Publication TypeProceedings, refereed
Year of Publication2016
Conference Name24th Annual Meeting of the International Society for Magnetic Resonance in Medicine
Date Published2016
PublisherISMRM
Abstract

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.

Citation Key24441

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