scholarly journals A Novel Approach to Speckle Reduction to Ultrasound Image

2008 ◽  
Author(s):  
Yanhui Guo ◽  
H.D. Cheng ◽  
Jiawei Tian ◽  
Yingtao Zhang
Keyword(s):  
Ultrasound Image ◽  
Speckle Reduction ◽  
Novel Approach

scholarly journals A NOVEL APPROACH FOR DIAGNOSING LIVER LESION IMAGES IN TELEMEDICINE MODE

2012 ◽  
Vol 02 (04) ◽  
pp. 50-53
Author(s):  
Ulagamuthalvi V. ◽  
Kulanthaivel G. ◽  
Sridharan D.
Keyword(s):  
Ultrasound Image ◽  
Liver Lesion ◽  
Modern Technology ◽  
High Rate ◽  
Support Vector ◽  
Remote Location ◽  
System A ◽  
Novel Approach ◽  
Detection And Diagnosis ◽  
Diagnostic Classification System

AbstractIn this article, a novel approach for diagnosing liver lesion using ultrasound image in telemedince mode is attempted. Liver cancer is a one of the neoplastic diseases. It has a high rate of mortality. The low quality of clinical ultrasound image limits the success of early detection and diagnosis based on the images. Filtering the spcekle noise to enhance the quality and segment the ROI from the ultrasound image are carried out. Wavelet-based texture descriptors are calculated and classification has been done using support vector machine. Telemedicine is the ability to provide interactive healthcare utilizing modern technology and telecommunications. In this telemedicne mode based diagnostic classification system, a client at remote location can submit the ultrasound B-scan liver image using the Internet and after analysis in the web server, the client at remote location will receive the diagnostic result.

A Novel Approach to Speckle Reduction in Ultrasound Imaging

2009 ◽  
Vol 35 (4) ◽  
pp. 628-640 ◽  
Author(s):  
Yanhui Guo ◽  
H.D. Cheng ◽  
Jiawei Tian ◽  
Yingtao Zhang
Keyword(s):  
Ultrasound Imaging ◽  
Speckle Reduction ◽  
Novel Approach

Adaptive speckle reduction algorithm for ultrasound image based on SUSAN diffusion

2013 ◽  
Vol 26 (4) ◽  
pp. 331-337
Author(s):  
Yugui Xu ◽  
Minfen Shen ◽  
Qiong Zhang ◽  
Ruoyu Fang
Keyword(s):  
Ultrasound Image ◽  
Speckle Reduction ◽  
Reduction Algorithm

scholarly journals Novel image enhancement approaches for despeckling in ultrasound images for fibroid detection in human uterus

2021 ◽  
Vol 11 (1) ◽  
pp. 399-410
Author(s):  
Kaitheri Thacharedath Dilna ◽  
Duraisamy Jude Hemanth
Keyword(s):  
Image Processing ◽  
Signal To Noise Ratio ◽  
Ultrasound Image ◽  
Speckle Noise ◽  
Speckle Reduction ◽  
Ultrasound Images ◽  
Signal To Noise ◽  
Statistical Measures ◽  
Noise Ratio ◽  
Scanned Images

Abstract Ultrasonography is an extensively used medical imaging technique for multiple reasons. It works on the basic theory of echoes from the tissues under consideration. However, the occurrence of signal dependent noise such as speckle destroys utility of ultrasound images. Speckle noise is subject to the composition of image tissue and parameters of image. It reduces the effectiveness of many image processing steps and decreases human perception of fine details form ultrasound images. In many medical image processing methods, despeckling is used as the preprocessing step before segmentation and feature extraction. Many speckle reduction filters are proposed but while combining many techniques some speckle diagnostic information should be preserved. Removal of speckle noise from ultrasound image by preserving edges and added features is a great challenging task in ultrasound image restoration. This paper aims at a comprehensive description and comparison of reduction of speckle noise of ultrasound fibroid image. Many filters are applied on ultrasound scanned images and the performance is marked in terms of some statistical measures. Even though several despeckling filters are there for speckle reduction, all are not good for ultrasound scanned images. A comparison of quality measures such as mean square error, peak signal-to-noise ratio, and signal-to-noise ratio is done in ultrasound images in despeckling.

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