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The Resource Despeckle filtering for ultrasound imaging and video, Volume I, Algorithms and software, Christos P. Loizou, Constantinos S. Pattichis, (electronic book)

Despeckle filtering for ultrasound imaging and video, Volume I, Algorithms and software, Christos P. Loizou, Constantinos S. Pattichis, (electronic book)

Label
Despeckle filtering for ultrasound imaging and video, Volume I, Algorithms and software
Title
Despeckle filtering for ultrasound imaging and video
Title number
Volume I
Title part
Algorithms and software
Statement of responsibility
Christos P. Loizou, Constantinos S. Pattichis
Title variation
Algorithms and software
Creator
Contributor
Author
Subject
Language
eng
Summary
It is well known that speckle is a multiplicative noise that degrades image and video quality and the visual expert's evaluation in ultrasound imaging and video. This necessitates the need for robust despeckling image and video techniques for both routine clinical practice and tele-consultation. The goal for this book (book 1 of 2 books) is to introduce the problem of speckle occurring in ultrasound image and video as well as the theoretical background (equations), the algorithmic steps, and the MATLAB code for the following group of despeckle filters: linear filtering, nonlinear filtering, anisotropic diffusion filtering, and wavelet filtering. This book proposes a comparative evaluation framework of these despeckle filters based on texture analysis, image quality evaluation metrics, and visual evaluation by medical experts. Despeckle noise reduction through the application of these filters will improve the visual observation quality or it may be used as a pre-processing step for further automated analysis, such as image and video segmentation, and texture characterization in ultrasound cardiovascular imaging, as well as in bandwidth reduction in ultrasound video transmission for telemedicine applications. The aforementioned topics will be covered in detail in the companion book to this one. Furthermore, in order to facilitate further applications we have developed in MATLAB two different toolboxes that integrate image (IDF) and video (VDF) despeckle filtering, texture analysis, and image and video quality evaluation metrics. The code for these toolsets is open source and these are available to download complementary to the two books
Member of
Cataloging source
CaBNVSL
http://library.link/vocab/creatorDate
1962-
http://library.link/vocab/creatorName
Loizou, Christos P.
Dewey number
535.32
Illustrations
illustrations
Index
no index present
LC call number
QC427.8.S64
LC item number
L653 2015
Literary form
non fiction
Nature of contents
  • dictionaries
  • abstracts summaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
Pattichis, Constantinos S.
http://library.link/vocab/subjectName
  • Speckle
  • Image processing
  • Filters (Mathematics)
  • Algorithms
  • Diagnostic ultrasonic imaging
  • Synthetic aperture radar
Target audience
  • adult
  • specialized
Label
Despeckle filtering for ultrasound imaging and video, Volume I, Algorithms and software, Christos P. Loizou, Constantinos S. Pattichis, (electronic book)
Instantiates
Publication
Bibliography note
Includes bibliographical references (pages 139-151)
Carrier category
online resource
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type MARC source
rdacontent
Contents
  • 1. Introduction to speckle noise in ultrasound imaging and video -- 1.1 A brief review of ultrasound imaging and video -- 1.1.1 Basic principles of ultrasound imaging and video -- 1.1.2 Ultrasound modes -- 1.1.3 Image and video quality and resolution -- 1.1.4 Limitations of ultrasound imaging and video -- 1.2 Speckle noise -- 1.2.1 Physical properties and pattern of speckle noise -- 1.2.2 Speckle noise modeling -- 1.2.3 Early attempts of despeckle filtering in different modalities and ultrasound imaging and video -- 1.2.4 Speckle noise tracking -- 1.3 An overview of despeckle filtering techniques -- 1.4 Limitations of despeckle filtering techniques -- 1.5 Guide to book contents --
  • 2. Basics of evaluation methodology -- 2.1 Use of phantom and artificial ultrasound images and videos -- 2.2 Image and video despeckle filtering toolboxes -- 2.3 Image and video quality evaluation metrics --
  • 3. Linear despeckle filtering -- 3.1 First-order statistics filtering (DsFlsmv, DsFwiener) -- 3.2 Local statistics filtering with higher moments (DsFlsminv1d, DsFlsmvsk2d) -- 3.3 Homogeneous mask area filtering (DsFlsminsc) --
  • 4. Nonlinear despeckle filtering -- 4.1 Median filtering (DsFmedian) -- 4.2 Linear scaling filter (DsFca, DsFlecasort, DsFls) -- 4.3 Maximum homogeneity over a pixel neighborhood filtering (DsFhomog) -- 4.4 Geometric filtering (DsFgf4d) -- 4.5 Homomorphic filtering (DsFhomo) -- 4.6 Hybrid median filtering (DsFhmedian) -- 4.7 Kuwahara filtering (DsFKuwahara) -- 4.8 Nonlocal filtering (DsFnlocal) --
  • 5. Diffusion despeckle filtering -- 5.1 Anisotropic diffusion filtering (DsFad) -- 5.2 Speckle-reducing anisotropic diffusion filtering (DsFsrad) -- 5.3 Nonlinear anisotropic diffusion filtering (DsFnldif ) -- 5.4 Nonlinear complex diffusion filtering (DsFncdif ) --
  • 6. Wavelet despeckle filtering --
  • 7. Evaluation of despeckle filtering -- 7.1 Despeckle filtering evaluation on an artificial carotid artery image -- 7.2 Despeckle filtering evaluation on a phantom image -- 7.3 Despeckle filtering evaluation on real ultrasound images and video -- 7.4 Summary findings on despeckle filtering evaluation --
  • 8. Summary and future directions -- 8.1 Summary -- 8.2 Future directions --
  • A. Appendices -- A.1 Despeckle filtering, texture analysis, and image quality evaluation toolbox functions -- A.2 Despeckle filtering, texture analysis and video (VDF toolbox) quality evaluation toolbox functions -- A.3 Examples of running the despeckle filtering toolbox functions -- References -- Authors' biographies
Control code
201504ASE014
Dimensions
unknown
Edition
Second edition.
Extent
1 PDF (xxv, 154 pages)
File format
multiple file formats
Form of item
online
Isbn
9781627057424
Media category
electronic
Media MARC source
isbdmedia
Other control number
10.2200/S00641ED1V01Y201504ASE014
Other physical details
illustrations.
Reformatting quality
access
Specific material designation
remote
System details
System requirements: Adobe Acrobat Reader
Label
Despeckle filtering for ultrasound imaging and video, Volume I, Algorithms and software, Christos P. Loizou, Constantinos S. Pattichis, (electronic book)
Publication
Bibliography note
Includes bibliographical references (pages 139-151)
Carrier category
online resource
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type MARC source
rdacontent
Contents
  • 1. Introduction to speckle noise in ultrasound imaging and video -- 1.1 A brief review of ultrasound imaging and video -- 1.1.1 Basic principles of ultrasound imaging and video -- 1.1.2 Ultrasound modes -- 1.1.3 Image and video quality and resolution -- 1.1.4 Limitations of ultrasound imaging and video -- 1.2 Speckle noise -- 1.2.1 Physical properties and pattern of speckle noise -- 1.2.2 Speckle noise modeling -- 1.2.3 Early attempts of despeckle filtering in different modalities and ultrasound imaging and video -- 1.2.4 Speckle noise tracking -- 1.3 An overview of despeckle filtering techniques -- 1.4 Limitations of despeckle filtering techniques -- 1.5 Guide to book contents --
  • 2. Basics of evaluation methodology -- 2.1 Use of phantom and artificial ultrasound images and videos -- 2.2 Image and video despeckle filtering toolboxes -- 2.3 Image and video quality evaluation metrics --
  • 3. Linear despeckle filtering -- 3.1 First-order statistics filtering (DsFlsmv, DsFwiener) -- 3.2 Local statistics filtering with higher moments (DsFlsminv1d, DsFlsmvsk2d) -- 3.3 Homogeneous mask area filtering (DsFlsminsc) --
  • 4. Nonlinear despeckle filtering -- 4.1 Median filtering (DsFmedian) -- 4.2 Linear scaling filter (DsFca, DsFlecasort, DsFls) -- 4.3 Maximum homogeneity over a pixel neighborhood filtering (DsFhomog) -- 4.4 Geometric filtering (DsFgf4d) -- 4.5 Homomorphic filtering (DsFhomo) -- 4.6 Hybrid median filtering (DsFhmedian) -- 4.7 Kuwahara filtering (DsFKuwahara) -- 4.8 Nonlocal filtering (DsFnlocal) --
  • 5. Diffusion despeckle filtering -- 5.1 Anisotropic diffusion filtering (DsFad) -- 5.2 Speckle-reducing anisotropic diffusion filtering (DsFsrad) -- 5.3 Nonlinear anisotropic diffusion filtering (DsFnldif ) -- 5.4 Nonlinear complex diffusion filtering (DsFncdif ) --
  • 6. Wavelet despeckle filtering --
  • 7. Evaluation of despeckle filtering -- 7.1 Despeckle filtering evaluation on an artificial carotid artery image -- 7.2 Despeckle filtering evaluation on a phantom image -- 7.3 Despeckle filtering evaluation on real ultrasound images and video -- 7.4 Summary findings on despeckle filtering evaluation --
  • 8. Summary and future directions -- 8.1 Summary -- 8.2 Future directions --
  • A. Appendices -- A.1 Despeckle filtering, texture analysis, and image quality evaluation toolbox functions -- A.2 Despeckle filtering, texture analysis and video (VDF toolbox) quality evaluation toolbox functions -- A.3 Examples of running the despeckle filtering toolbox functions -- References -- Authors' biographies
Control code
201504ASE014
Dimensions
unknown
Edition
Second edition.
Extent
1 PDF (xxv, 154 pages)
File format
multiple file formats
Form of item
online
Isbn
9781627057424
Media category
electronic
Media MARC source
isbdmedia
Other control number
10.2200/S00641ED1V01Y201504ASE014
Other physical details
illustrations.
Reformatting quality
access
Specific material designation
remote
System details
System requirements: Adobe Acrobat Reader

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