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Fast Tracking of the Left Ventricle Using Global Anatomical Affine Optical Flow and Local Recursive Block Matching

Barbosa, Daniel, Friboulet, Denis, D'hooge, Jan, Bernard, Olivier
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Published in The MIDAS Journal - MICCAI 2014 Workshop: Challenge on Endocardial Three-dimensional Ultrasound Segmentation.
Submitted by Olivier Bernard on 2014-10-13 15:37:40.

We present a novel method for segmentation and tracking of the left ventricle (LV) in 4D ultrasound sequences using a combination of automatic segmentation at the end-diastolic frame and tracking using both a global optical flow-based tracker and local block matching. The core novelty of the proposed algorithm relies on the recursive formulation of the block-matching problem, which introduces temporal consistency on the patterns being tracked. The proposed method offers a competitive solution, with average segmentation errors of 2.29 and 2.26mm in the training (#=15) and testing (#=15) datasets respectively.