Handbook of Speckle Filtering and Tracking in Cardiovascular Ultrasound Imaging and Video

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