DocumentCode :
3659647
Title :
Wavelet based non local means filter for despeckling of intravascular ultrasound image
Author :
Debarghya China;Pabitra Mitra;Chandan Chakraborty;K. M. Mandana
Author_Institution :
Advanced Technology Development Centre, Indian Institute of Technology Kharagpur, India
fYear :
2015
Firstpage :
1361
Lastpage :
1365
Abstract :
In this paper, a novel methodology has been proposed for speckle noise reduction of intravascular ultrasound (IVUS). IVUS, a standard coronary artery diagnosis imaging protocol, is degraded with speckle noise due to the coherent interferences of the ultrasound reflected from the scatters. Presence of such noise creates problem in segmentation and classification of these images. Non local means filter has been applied in wavelet domain to smooth out noise interferences to improve the visual characteristics of IVUS insight. Eventually, a comparison study has also been performed with various filters viz. anisotropic diffusion filter, nonlinear median filter and geometric nonlinear diffusion filter. Mean squared error (MSE) and peak signal to noise ratio (PSNR) has been used to evaluate the efficiency of the proposed filtering methodology.
Keywords :
"Speckle","Ultrasonic imaging","Anisotropic magnetoresistance","Gabor filters","Noise","Biomedical imaging"
Publisher :
ieee
Conference_Titel :
Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on
Print_ISBN :
978-1-4799-8790-0
Type :
conf
DOI :
10.1109/ICACCI.2015.7275802
Filename :
7275802
Link To Document :
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