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

Content Provider	IET Digital Library
Author	Rafati, Mehravar Arabfard, Masoud Zadeh, Mehrdad Rafati Rahim Maghsoudloo, Mazaher
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.
Starting Page	1
Ending Page	8
Page Count	8
ISSN	17519632
Volume Number	10
e-ISSN	17519640
Issue Number	Issue 1, Feb (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/10/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2014.0151
Journal	IET Computer Vision
Publisher Date	2016-02-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Arterial Motion Estimation Artery Posterior Walls Audio Video Interleaves Biology And Medical Computing Biomedical Ultrasonics Bit Map Format Block-matching Technique Blood Vessels Brachial Artery Canny Edge Detection Cardiac Cycles Cardiovascular Risk Cardiovascular System Common Carotid Artery Computer Vision And Image Processing Technique Edge Detection Image Denoising Image Filtering Image Matching Image Recognition Intima-media Thickness MATLAB Software Mean Square Error Method Medical Image Processing Motion Estimation Noise Reduction Assessment Patient Diagnostic Method And Instrumentation Peak Signal-to-noise Ratio Sonic And Ultrasonic Application Sonic And Ultrasonic Radiation Speckle Reducing Anisotropic Diffusion Filter Speckle Suppression Subclinical Atherosclerosis Ultrasound Image Video Signal Processing
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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