Tracking Endocardial Motion via Multiple Model Filtering of Distribution Cut

Tracking heart motion plays an essential role in the diagnosis of cardiovascular diseases. As such, accurate characterization of dynamic behavior of the left ventricle (LV) is essential in order to enhance the performance of motion estimation. However, a single Markovian model is not sufficient due to the substantial variability in typical heart motion. Moreover, dynamics of an abnormal heart could be very different from that of a normal heart. This study introduces a tracking approach based on multiple models, each matched to a different phase of the LV motion. First, the algorithm adopts a graph cut distribution matching method to tackle the problem of segmenting LV cavity from cardiac MR images, which is acknowledged as a difficult problem because of low contrast and photometric similarities between the heart wall and papillary muscles within the LV cavity. Second, interacting multiple model (IMM), an effective estimation algorithm for Markovian switching system, is devised subseque...

• Type: Journal
• Year: 2010
• Where: IEEE Transactions on Biomedical Engineering
• Authors: Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Ian Ross and Shuo Li,
• Keywords: Cardiac Wall Motion Estimation