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Fast Tracking of the Left Ventricle Using Global Anatomical Affine Optical Flow and Local Recursive Block Matching
|Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3481|
Published in The MIDAS Journal - Challenge on Endocardial Three-dimensional Ultrasound Segmentation.
Submitted by Olivier Bernard on 10-13-2014.
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.
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|Categories:||Derivatives and Integrals, Segmentation|
|Keywords:||Segmentation, 3D ultrasound imaging, Bspline Explicit Active Surface|
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