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
CREATIS
Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3481
New: Prefer using the following doi: https://doi.org/10.54294/9oybn9
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.
BibTeX
One