Journal Title : International Journal of Modern Trends in Engineering and Science
Author’s Name : Lakshmi A S | Nissa Surling S N
Volume 02 Issue 12 Year 2015
ISSN no: 2348-3121
Page no: 8-12
Abstract— An Echocardiogram is a non-invasive procedure used to assess the heart’s function and structures. This paper proposes a new hybrid approach to estimate the cardiac cycle phases in 2-D echocardiographic images as a first step in cardiac volume estimation. Here analysis of the atrial systole and diastole events by using the geometrical position of the mitral valve and a set of image features is done. The proposed algorithm is based on an organization of image processing methods and Support Vector Machine as a classifier to robustly extract anatomical information. An original set of image feature is used and derived to recognize the cardiac phases. The aforestated approach is performed in a denoising scenario. In this scenario, the images are corrupted with Gaussian noise distribution. This hybrid algorithm does not involve any manual tracing of the boundaries for segmentation process. The algorithm is realized as computer aided diagnosis (CADi) software. A dataset of 160 images that include both normal and infarct cardiac pathologies were used. An accuracy of 93 percentage and a 1.2s in terms of execution time of CADi application was reported in a cardiac cycle estimation task. The significant improvement of this paper is the introduction of a hybrid method and set of image features that can be helpful for automatic detection applications without any user intervention.
Keywords— Support Vector Machine; Cardiac Phase Cycle; CAD; Image features
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