NDLI: Wavelet filters analysis for speckle reduction in intravascular ultrasound images

Content Provider	IEEE Xplore Digital Library
Author	Lazrag, H. Naceur, M.S.
Copyright Year	2012
Description	Author affiliation: LTSIRS, Ecole Nationale d'Ingénieurs de Tunis, Tunis, Tunisie (Lazrag, H.; Naceur, M.S.)
Abstract	Speckle noise is an inherent property of intravascular ultrasound imaging (IVUS) and it generally tends to deteriorate the image quality, thereby reducing the diagnostic value of this medical imaging modality. As a result, the speckle reduction filtering is considered to be an important and essential procedure to be used, whenever IVUS images are used for atherosclerotic lesions assessment. Wavelet-based methods have been found particularly for image enhancement and de-noising given that a suitable separation of signal and noise can be achieved in the transform domain based on their distinct localization and distribution in time and frequency domains. This paper presents a comparative study of various wavelet filter methods applied to intravascular ultrasound images. The comparative evaluation of the de-speckling performance is defined using image quality parameters such as the peak signal-to-noise ratio and the normalized mean square error. Furthermore, this performance has been compared with the Wiener filtering method. The results included a series of simulated and in vivo IVUS images.
Starting Page	375
Ending Page	379
File Size	542715
Page Count	5
File Format	PDF
ISBN	9781467316576
e-ISBN	9781467316583
DOI	10.1109/SETIT.2012.6481944
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-21
Publisher Place	Tunisia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wiener filters Ultrasonic imaging PSNR Wiener Intravascular Ultrasound Images Thresholding Wavelet Filters Speckle Speckle Noise Wavelet coefficients Biomedical imaging
Content Type	Text
Resource Type	Article

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