A Collection of Contemporary Research Articles in Electronics, Communication & Computation- Book ISBN- 978-81-948050-7-6

Authors: Ayesha Heena, Nagashettappa Biradar, Najmuddin M Maroof

Abstract: The basic goal in the processing and analysis of echocardiographic images is segmentation. Manually segmented echo images are time-consuming, inconvenient and liable to human subjectivity. There has been a great deal of interest in Computer-Aided Diagnosis (CAD) based or automated segmentation techniques. A lot of work has been done on segmentation techniques in recent years, and numerous studies have been published. In spite of many published studies, the relative merits of the various methods remain unclear. In this paper, a comparative analysis of different segmentation techniques used for medical images in general and echocardiographic images, in particular, is being presented, described, discussed and reviewed. Regarding the utility of these methods, the reasons for the lack of definitive conclusions are explained. Finally, the comparative analysis aims to identify the best within the available segmentation methods and develop a proposed method that can be used for echocardiographic images with promising results.

Keywords: Medical Image Processing, Computer-aided diagnosis, Echocardiographic images, Segmentation techniques