Handbook of Speckle Filtering and Tracking in Cardiovascular Ultrasound Imaging and Video. Healthcare Technologies - Product Image

Handbook of Speckle Filtering and Tracking in Cardiovascular Ultrasound Imaging and Video. Healthcare Technologies

  • ID: 4391415
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  • IET Books
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Ultrasound imaging technology has experienced a dramatic change in the last 30 years. Because of its non-invasive nature and continuing improvements in image quality, ultrasound imaging is progressively achieving an important role in the assessment and characterization of cardiovascular imaging. Speckle is inherent in ultrasound imaging giving rise to a granular appearance instead of homogeneous, flat shades of gray, as is visible and as such, speckle can severely compromise interpretation of ultrasound images, particularly in discrimination of small structures. On the other hand, speckle can be used in the detection of time varying phenomena, or tracking tissue motion. The objective of this book is to provide a reference edited volume covering the whole spectrum of speckle phenomena, theoretical background and modelling, algorithms and selected applications in cardiovascular ultrasound imaging and video processing and analysis. The book is organized under the following four parts, Part I: Introduction to Speckle Noise; Part II: Speckle Filtering; Part III: Speckle Tracking; Part IV: Selected Applications in Cardiovascular Imaging.

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- Part I: Introduction to speckle noise in ultrasound imaging and video
- Chapter 1: A brief review of ultrasound imaging and video
- Chapter 2: Speckle physics
- Chapter 3: Statistical models for speckle noise and Bayesian deconvolution of ultrasound images
- Chapter 4: Summary

- Part II: Speckle filtering
- Chapter 5: Introduction to speckle filtering
- Chapter 6: An overview of despeckle-filtering techniques
- Chapter 7: Linear despeckle filtering
- Chapter 8: Nonlinear despeckle filtering
- Chapter 9: Wavelet despeckle filtering
- Chapter 10: A comparative evaluation on linear and nonlinear despeckle filtering techniques
- Chapter 11: Summary and future directions

- Part III: Speckle tracking
- Chapter 12: Introduction to speckle tracking in ultrasound video
- Chapter 13: Principles of speckle tracking
- Chapter 14: Techniques for speckle tracking: block matching
- Chapter 15: Techniques for tracking: image registration
- Chapter 16: Cardiac strain estimation
- Chapter 17: Combined techniques of filtering and speckle tracking
- Chapter 18: Summary and future directions

- Part IV: Selected applications
- Chapter 19: Segmentation of the carotid artery IMT in ultrasound
- Chapter 20: Ultrasound carotid plaque video segmentation
- Chapter 21: Ultrasound asymptomatic carotid plaque image analysis for the prediction of the risk of stroke
- Chapter 22: 3D segmentation and texture analysis of the carotid arteries
- Chapter 23: Carotid artery mechanics assessed by ultrasound
- Chapter 24: Carotid artery wall motion and strain analysis using tracking
- Chapter 25: IVUS tracking: advantages and disadvantages of intravascular ultrasound in the detection of artery geometrical features and plaque type morphology
- Chapter 26: Introduction to speckle tracking in cardiac ultrasound imaging
- Chapter 27: Assessment of systolic and diastolic heart failure
- Chapter 28: Myocardial elastography and electromechanical wave imaging
- Chapter 29: Summary and future directions
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Christos P. Loizou Adjunct Professor.
Cyprus University of Technology, Cyprus.

Christos P. Loizou is an Adjunct Professor of medical imaging and video processing at the Department of Electrical Engineering, and Computer Engineering and Informatics, Cyprus University of Technology. He is a Senior Member of the IEEE.

Constantinos S. Pattichis Professor.
University of Cyprus, Department of Computer Science, Cyprus.

Constantinos S. Pattichis is a Professor with the Department of Computer Science of the University of Cyprus. 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. He is a Fellow of IEEE, IET and IAMBE.

Jan D'hooge Professor.
Catholic University of Leuven, Medical Faculty, Department of Cardiovascular Diseases, Belgium.

Jan D'hooge is a Professor in the Department of Cardiovascular Sciences of the Medical Faculty of the University of Leuven, Belgium. He is member of IEEE and Associate Editor of the IEEE Transactions on Ultrasonics, Ferro-Electrics and Frequency Control.

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