A Novel Approach to Medical Image Segmentation | Science Publications

Journal of Computer Science

A. B. Suryanarayana¹  N. Shanmugam¹  D. Chandrashekar¹  S. TSB¹  C. N. Manjunath¹ 

关键词: K-means;    echocardiographic image;    image segmentation;    echo image;    biomedical image segmentation;    database tables;    speckle noise;   

DOI  :  10.3844/jcssp.2011.657.663

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

Problem statement: Segmentation is a vital aspect of medical imaging. It aids in thevisualization of medical data and diagnostics of various diseases. Ultrasound image segmentation, inparticular echocardiographic image segmentation, is required to identify the regions of interest such as LeftVentricle (LV) and other cardiac cavities. Existing methods do not address the drawbacks of speed andquality of segmentation. A faster method is required for effective, accurate and scalable clinical analysisand diagnosis. Approach: In this research, a novel approach is used to segment the 2D echo images ofvarious views. A modified K-Means clustering algorithm, called

【 授权许可】

Unknown