Efficient reconstruction of cardiac LV surfaces using a 3D sparse ASM
Cardiac magnetic resonance imaging (MRI) has demonstrated to be the most accurate and reproducible tool for assessment of the cardiovascular system. Traditional quantification methods require acquisition of densely sampled data sets, resulting in increased analysis time. This paper investigates whether comparable quantification accuracy can be achieved with a combination of sparsely sampled data and using an active shape model (ASM) of the left ventricle