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Carotid Artery for Ultrasound Images

Author(s):

S. Mounica , Sri Bharathi Engineering College

Keywords:

Stroke, Pre-processing, Segmentation, Jaccard

Abstract

For diagnosis of atherosclerosis, Ultrasound imaging has been widely used. The main cause of atherosclerosis is stroke. To precisely diagnose the carotid plaque, the affected region should be segmented from the ultrasonic image of carotid artery. Image segmentation is the important processes to segment the high quality images from the noisy images and it is an important component in image analysis and computer vision tasks. To acquire a high quality image, pre-processing is the first step to be done. The pre-processing step is carried out for noise removal. For the removal of noise, the median filter and log filter is used. The segmentation method involves pixel segmentation, edge segmentation and texture segmentation. The Performance of pre-processing techniques are evaluated using Mean Square Error (MSE), Peak Signal Noise Ratio (PSNR). The performance of these segmentation method is calculated by Jaccard distance. From the experimental result, texture segmentation is best method suitable for segmentation.

Other Details

Paper ID: IJSRDV7I70130
Published in: Volume : 7, Issue : 7
Publication Date: 01/10/2019
Page(s): 489-493

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