Assessment of noise reduction in ultrasound images of common carotid and brachial arteries

Rafati-Rahimzadeh, M. and Arabfard, M. and Rafati-Rahimzadeh, M. and Maghsoudloo, M. (2016) Assessment of noise reduction in ultrasound images of common carotid and brachial arteries. IET Computer Vision, 10 (1). pp. 1-8.

Full text not available from this repository.
Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....
DOI: UNSPECIFIED

Abstract

The present study assessed the use of filters for noise reduction in ultrasound images of the common carotid artery (CCA) and brachial artery using intima-media thickness, which is a safe and non-invasive technique for determining subclinical atherosclerosis and cardiovascular risk. A new combined speckle reducing anisotropic diffusion (SRAD) filter for noise reduction is then proposed. Ultrasonic examination of both arteries was performed on 30 men (aged 40 ± 5 years). The programme was designed using MATLAB software to extract consecutive images in bit map format from the audio video interleaves. An additional programme was designed in MATLAB to apply the region of interest (ROI) to the thickness of the intima-media of the posterior walls of the arteries. Block-matching techniques were used to estimate arterial motion from ultrasound images of the B-mode CCA and brachial artery. Different noise reduction filters and Canny edge detection were carried out separately in the ROI. The programme measured mean square error (MSE) and peak signal-to-noise ratio (PSNR). The results demonstrated that the new combined SRAD filter with Canny edge detection identified the lowest value for MSE and the highest value for PSNR in 90 consecutive frames (~3 cardiac cycles). The results indicate that MSE and PSNR were better detected by the proposed combined SRAD filter with Canny edge detection than did several commonly used filters with Canny detection for speckle suppression and preservation detail in carotid and brachial arteries ultrasound images. © The Institution of Engineering and Technology.

Item Type: Article
Additional Information: cited By 0
Uncontrolled Keywords: Edge detection; Image segmentation; MATLAB; Mean square error; Risk assessment; Signal to noise ratio; Speckle; Ultrasonic applications, Common carotid artery; Intima-media thickness; Noise reduction filters; Noninvasive technique; Peak signal to noise ratio; Speckle reducing anisotropic diffusion; The region of interest (ROI); Ultrasonic examination, Image denoising
Subjects: Medicine
Divisions: Faculty of Para medicine > Department of Management Radiology and Medical Physics
Depositing User: editor . 2
Date Deposited: 06 Mar 2017 16:56
Last Modified: 06 Mar 2017 16:56
URI: http://eprints.kaums.ac.ir/id/eprint/186

Actions (login required)

View Item View Item