Low-dimensional representation of cardiac motion using Barycentric Subspaces: A new group-wise paradigm for estimation, analysis, and reconstruction

Many pathologies of the heart affect its motion during the cardiac cycle and therefore it is crucial for clinicians to have methods to understand and analyze the different patterns of motions seen in a population (Konstam  et al., 2011). Efficient classification and quantification of the cardiac motion of a patient can help clinicians to have additional insights in order to help in diagnosis, therapy planning, and to determine the prognosis for a given patient (Bijnens et al., 2007). For example it can be used to extract relevant clinical indices such as the ejection fraction or strain values at different locations of the heart (Rohé et al., 2015), to compare two different populations (Mcleod et al., 2015) based on the pattern of their cardiac motions, and to perform longitudinal analysis during the dev elopment of a disease or following a therapy.

Source: Medical Image Analysis - December 22, 2017 Category: Radiology Authors: Marc-Michel Roh é, Maxime Sermesant, Xavier Pennec Source Type: research