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Despeckle filtering algorithms and software for ultrasound imaging

It is well-known that speckle is a multiplicative noise that degrades image quality and the visual evaluation in ultrasound imaging. This necessitates the need for robust despeckling techniques for both routine clinical practice and teleconsultation. The goal for this book is to introduce the theore...

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Bibliographic Details
Main Author: Loizou, Christos P., 1962-
Other Authors: Patticheis, Constantinos S.
Format: Electronic
Language:English
Published: San Rafael, Calif (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, 2008.
Series:Synthesis lectures on algorithms and software in engineering (Online) ; #1.
Subjects:
Image processing > Mathematics.
Filters (Mathematics)
Algorithms.
Diagnostic ultrasonic imaging > Image quality.
Synthetic aperature radar > Image quality.
Online Access:View fulltext via EzAccess
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020 # # |a 9781598296211 (electronic bk.) 
020 # # |a 9781598296204 (pbk.) 
024 7 # |a 10.2200/S00116ED1V01Y200805ASE001  |2 doi 
035 # # |a 243712589 (OCoLC) 
035 # # |a (CaBNvSL)gtp00531499 
040 # # |a CaBNvSL  |c CaBNvSL  |d CaBNvSL 
050 # 4 |a RC78.7.U4  |b L653 2008 
082 0 4 |a 616.07543  |2 22 
100 1 # |a Loizou, Christos P.,  |d 1962- 
245 1 0 |a Despeckle filtering algorithms and software for ultrasound imaging  |c Christos P. Loizou and Constantinos S. Pattichis.  |h [electronic resource] / 
260 # # |a San Rafael, Calif (1537 Fourth Street, San Rafael, CA 94901 USA) :  |b Morgan & Claypool Publishers,  |c 2008. 
300 # # |a 1 electronic text (xiii, 166 p. : ill.) :  |b digital file. 
490 1 # |a Synthesis lectures on algorithms and software in engineering ;  |v #1 
500 # # |a Part of: Synthesis digital library of engineering and computer science. 
500 # # |a Title from PDF t.p. (viewed on 10-17-2008). 
500 # # |a Series from website. 
504 # # |a Includes bibliographical references (p.155-164). 
505 0 # |a 1. Introduction to ultrasound imaging and speckle noise -- 2. Despeckle filtering algorithms -- 2.1 Linear filtering -- 2.2 Nonlinear filtering -- 2.3 Diffusion filtering -- 2.4 Wavelet filtering (DsFwaveltc) -- 3. Evaluation methodology -- 4. Applications of despeckle filtering in ultrasound imaging -- 4.1 Evaluation of despeckle filtering on phantom and artificial images -- 4.2 Evaluation of despeckle filtering on carotid plaque images based on texture analysis -- 4.3 Image quality and visual evaluation -- 4.4 Segmentation of the intima : media complex and plaque in the cca based on despeckle filtering -- 4.5 Evaluation of two different ultrasound scanners based on despeckle filtering -- 5. Comparison and discussion of despeckle filtering algorithms -- 5.1 Comparison and discussion of despeckle filtering algorithms -- 5.2 Despeckle filtering of carotid plaque images based on texture analysis -- 5.3 Despeckling of the intima : media complex and the plaque -- 5.4 Video despeckling -- 5.5 Image quality and visual evaluation -- 5.6 Visual perception and additional comments by experts -- 5.7 Summary findings on despeckle filtering -- 6. Summary and future directions -- Appendices -- List of symbols -- List of abbreviations -- References -- Author biography.and index. 
506 # # |a Abstract freely available; full-text restricted to subscribers or individual document purchasers. 
510 0 # |a Compendex 
510 0 # |a INSPEC 
510 0 # |a Google scholar 
510 0 # |a Google book search 
520 # # |a It is well-known that speckle is a multiplicative noise that degrades image quality and the visual evaluation in ultrasound imaging. This necessitates the need for robust despeckling techniques for both routine clinical practice and teleconsultation. The goal for this book is to introduce the theoretical background (equations), the algorithmic steps, and the MATLAB (TM) code for the following group of despeckle filters: linear filtering, nonlinear filtering, anisotropic diffusion filtering and wavelet filtering. The book proposes a comparative evaluation framework of these despeckle filters based on texture analysis, image quality evaluation metrics, and visual evaluation by medical experts, in the assessment of cardiovascular ultrasound images recorded from the carotid artery. 
530 # # |a Also available in print. 
538 # # |a Mode of access: World Wide Web. 
538 # # |a System requirements: Adobe Acrobat Reader. 
650 # 0 |a Image processing  |x Mathematics. 
650 # 0 |a Filters (Mathematics) 
650 # 0 |a Algorithms. 
650 # 0 |a Diagnostic ultrasonic imaging  |x Image quality. 
650 # 0 |a Synthetic aperature radar  |x Image quality. 
690 # # |a Speckle. 
690 # # |a Despeckle. 
690 # # |a Noise filtering. 
690 # # |a Ultrasound. 
690 # # |a Ultrasound imaging. 
690 # # |a Cardiovascular imaging. 
690 # # |a SAR. 
690 # # |a Texture. 
690 # # |a Image quality. 
690 # # |a Carotid artery. 
700 1 # |a Patticheis, Constantinos S. 
730 0 # |a Synthesis digital library of engineering and computer science. 
830 # 0 |a Synthesis lectures on algorithms and software in engineering (Online) ;  |v #1. 
856 4 2 |u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.2200/S00116ED1V01Y200805ASE001  |z View fulltext via EzAccess 

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