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Robust boundary detection and tracking of left ventricles on ultrasound images using active shape model and ant colony optimization

Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 3rd International Conference on Biomedical Engineering and Biotechnology, 25–28 September 2014, Beijing, China

Article type: Research Article

Authors: Zhang, Yaonan; | Gao, Yuan | Jiao, Jinling | Li, Xian | Li, Sai | Yang, Jun

Affiliations: Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China | Department of Cardiovascular Ultrasound, The First Hospital of Chinese Medical University, Shenyang, China

Note: [] Corresponding author: Yaonan Zhang, Sino-Dutch Biomedical and Information Engineering School, Northeastern University, No. 11, Lane 3, Wenhua Road, Shenyang 110819, China. Tel.: +86-24-83685261; Fax: +86-24-83681955; E-mail: zhangyn@bmie.neu.edu.cn.

Keywords: Active shape model, image segmentation, boundary tracking, ant colony optimization, motion estimation

DOI: 10.3233/BME-141108

Journal: Bio-Medical Materials and Engineering, vol. 24, no. 6, pp. 2893-2899, 2014

Published: 2014
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Abstract

Information regarding the motion, strain and synchronization are important for cardiac diagnosis and therapy. Extraction of such information from ultrasound images remains an open problem till today. In this paper, a novel method is proposed to extract the boundaries of left ventricles and track these boundaries in ultrasound image sequences. The initial detection of boundaries was performed by an active shape model scheme. Subsequent refinement of the boundaries was done by using local variance information of the images. The main objective of this paper is the formulation of a new boundary tracking algorithm using ant colony optimization technique. The experiments conducted on the simulated image sequences and the real cardiac ultrasound image sequences shows a positive and promising result.

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