4th Conference on Swarm Intelligence and Evolutionary Computation , 2020-09-02

Title : ( Segmentation of Cardiac Chambers in 2D Echocardiographic Images by Using a New Atlas-Based Deformable Model )

Authors: Mahdi Saadatmand , Elham Fathipour , Alireza Noei Sarcheshmeh ,

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Abstract

Cardiovascular diseases (CVDs) are considered as the main reason of mortality around the world. Echocardiography is the most common imaging modality for diagnosis or treatment follow-up of CVDs. However, because of speckle-noise corruption and low resolution, segmentation of heart chambers in echo-images is a challenging endeavor. We previously proposed a probabilistic atlas as a prior model for the heart chambers in echo-images. In this paper, we propose a new active contour for the segmentation of cardiac chambers by using that digital atlas. Our deformable model effectively combines the global and local (patch-based) region-based energy functionals. Also, to extract all the cardiac chambers, we determine four active contours in every echo-image (one contour for each chamber in the four-chamber view). For simultaneously evolving all the curves, a coupling term is also added to the energy functional. Finally, the evolution equation of each active contour is computed through the Euler-Lagrange equation. Experimental results demonstrate that our method provides accurate solutions compared to expert delineations.

Keywords

, Echocardiography Images; Image Segmentation; Active Contours, Medical Atlases
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@inproceedings{paperid:1082687,
author = {Saadatmand, Mahdi and Fathipour, Elham and Noei Sarcheshmeh, Alireza},
title = {Segmentation of Cardiac Chambers in 2D Echocardiographic Images by Using a New Atlas-Based Deformable Model},
booktitle = {4th Conference on Swarm Intelligence and Evolutionary Computation},
year = {2020},
location = {مشهد, IRAN},
keywords = {Echocardiography Images; Image Segmentation; Active Contours; Medical Atlases},
}

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%0 Conference Proceedings
%T Segmentation of Cardiac Chambers in 2D Echocardiographic Images by Using a New Atlas-Based Deformable Model
%A Saadatmand, Mahdi
%A Fathipour, Elham
%A Noei Sarcheshmeh, Alireza
%J 4th Conference on Swarm Intelligence and Evolutionary Computation
%D 2020

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