Book title: Handbook of Speckle Filtering and Tracking in Cardiovascular Ultrasound Imaging and Video
Author: Christos P. Loizou, Constantinos S. Pattichis and Jan D’ hooge (Eds.)
Product Code: PBHE0130
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Over the last few decades medical ultrasound imaging has been used for the effective diagnostics of diseases due to its accurate, low cost and non-invasive characteristics. But ultrasound images are often degraded by a speckle effect which is the result of ultrasound echoes. Speckle noise occurs especially in the images of soft organs such as liver and kidney whose underlying structures are too small to be resolved by the large ultrasound wavelength. Several techniques have been developed to suppress speckle noise in ultrasound images and video, including despeckling filters and adaptive filtering methods. This book provides a guide to these techniques and their use.
Christos P. Loizou is a campus program coordinator at the Department of Computer Science, Intercollege, Cyprus, an Adjunct Professor of medical imaging and video processing at the Department of Electrical Engineering, and Computer Engineering and Informatics, Cyprus University of Technology, and Associated Researcher at the Institute of Neurology and Genetics, Nicosia, Cyprus. He is a Senior Member of the IEEE, serves as a reviewer in several IEEE Transactions and other journals and is a chair and co-chair at IEEE conferences.
Constantinos S. Pattichis is a Professor with the Department of Computer Science of the University of Cyprus. His work has generated more than 5600 citations and an h-score of 38. He serves as Associate Editor of the IEEE Journal of Biomedical and Health Informatics, and is on the Editorial Board of the Journal of Biomedical Signal Processing and Control, and as member of the IEEE EMBS Technical Committee on Information Technology for Health.
Jan D'hooge is a Professor in the department of cardiovascular diseases of the medical faculty of the Catholic University of Leuven, Belgium. He is Associate Editor of the IEEE Transactions on Ultrasonics, Ferro-Electrics and Frequency Control.
This book is an essential read for researchers, professionals, biomedical engineers, computing engineers, and medical imaging engineers dealing with applications of ultrasound imaging and video, image and video processing technologies.
This information is provisional and will be updated prior to publication
Part 1: Introduction to speckle noise in ultrasound imaging and video
Chapter 1: A Brief Review of Ultrasound Imaging and Video- Alfred C. H. Yu (1.1)
Chapter 2: Speckle Physics- Jovana Janjic & Gijs van Soest (1.2)
Chapter 3: Statistical Models for Speckle Noise and Bayesian Deconvolution of Ultrasound Images- Ningning Zhao, Adrian Basarab, Denis Kouame, Jean-Yves Tourneret (1.3)
Chapter 4: Summary- Christos P. Loizou (1.4)
Part 2: Speckle Filtering
Chapter 5: Introduction to speckle filtering- Gabriel Ramos-Llordén, Santiago Aja-Fernández, Gonzalo Vegas-Sánchez-Ferrero (2.1)
Chapter 6: An Overview of despeckle filtering techniques- Christos P. Loizou, Constantinos S Pattichis (2.2)
Chapter 7: Linear Despeckle Filtering- - Christos P. Loizou, Constantinos S Pattichis (2.3)
Chapter 8: Non-Linear Despeckle Filtering- Santiago Aja-Fernández, Gabriel Ramos-Llordén, Gonzalo Vegas-Sánchez-Ferrero (2.4)
Chapter 9: Wavelet Despeckle Filtering- Savita Gupta & Lakhwinder Kaur (2.5)
Chapter 10: A Comparative Evaluation on Linear and non-Linear Despeckle Filtering Techniques- Christos P. Loizou (2.6)
Chapter 11: Summary and Future Directions- Christos P. Loizou (2.7)
Part 3: Speckle Tracking
Chapter 12: Introduction to Speckle Tracking in Ultrasound Video- Gijs A.G.M. Hendriks, Stein Fekkes, Kaj Gijsbertse, Chris L. De Korte (3.1)
Chapter 13: Principles of Speckle Tracking- Brecht Heyde (3.2)
Chapter 14: Techniques for Speckle Tracking: Block Matching- R. G. P. Lopata (3.3)
Chapter 15: Techniques for tracking: Image Registration- Ariel Hernán Curiale, Gonzalo Vegas-Sánchez-Ferrero and Santiago Aja-Fernández (3.4)
Chapter 16: Strain Estimation- Hanan Khamis, Dan Adam (3.5
Chapter 17: Combined techniques of Filtering and Speckle Tracking- Martino Alessandrini (3.6)
Chapter 18: Summary and Future Directions- Jan D’hooge, Lasse Lovstakken (3.7)
Part 4: Selected Applications
Chapter 19 (4.2)- Segmentation of the Carotid Artery IMT in Ultrasound- Kristen M. Meiburger, Cristina Caresio, Massimo Salvi, U Rajendra Acharya, Filippo Molinari
Chapter 20 (4.3)- Ultrasound Carotid Plaque Video Segmentation- Christos P. Loizou & Constantinos S. Pattichis
Chapter 21 (4.4)- Ultrasound Asymptomatic Carotid Plaque Image Analysis for the Prediction of the Risk of Stroke- Efthyvoulos Kyriacou, Andrew Nicolaides
Chapter 22 (4.5)- 3D Segmentation and Texture Analysis of the Carotid Arteries- Aaron Fenster, Bernard Chu, Eranga Ukwatta
Chapter 23 (4.6)- Carotid Artery Mechanics Assessed by Ultrasound- R.G.P Logata, M.C.M.Rutten, M.R.H.M. van Sambeek
Chapter 24 (4.7)- Carotid Artery Wall and Strain Analysis using Tracking- Spyretta Golemati, Konstantina S. Nikita
Chapter 25 (4.11)- Ivus Tracking: Advantages and Disadvantages of Intravascular Ultrasound in the Detection of Artery Geometrical Features and Plaque Type Morphology- V. Kigka, T. Exarchos, G. Rigas, A. Sakellarios, P. Siogkas, L.K. Michalis, D. I. Fotiadis
Chapter 26 (4.1)- Introduction to Speckle Tracking in Cardiac Ultrasound Imaging- Damien Garcia, Pierre Lantelme, Eric Saloux
Chapter 27 (4.8)- Assessment of Systolic and Diastolic Heart Failure- Alan G Fraser, Carmen C Beladan, Bogdan A Popescu
Chapter 28 (4.9)- Myocardial Elastography and Electromechanical Wave Imaging- Elisa Konofagou
Chapter 29 (4.10)- Summary and Future Directions- Christos P. Loizou