@inproceedings {24441,
	title = {Quantitative Measures of Right Ventricular Shape Abnormalities in ARVC Patients},
	journal = {24th Annual Meeting of the International Society for Magnetic Resonance in Medicine },
	year = {2016},
	month = {2016},
	publisher = {ISMRM},
	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.},
	author = {Kristin Sarah {Mcleod} and Wall, Samuel and Saberniak, J{\o}rg},
	editor = {Haugaa, Kristina}
}
