Introduction to speckle tracking in cardiac ultrasound imaging

Introduction to speckle tracking in cardiac ultrasound imaging

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In this chapter, we will first recall some basic principles of speckle tracking. The fundamentals of speckle tracking in a wider context are essentially described in Chapter 13. We will then treat speckle-tracking echocardiography and echocardiographic particle image velocimetry (echo-PIV) and indicate a number of clinical applications in the context of evaluation of cardiac function. We will then briefly introduce color Doppler approaches complementary to speckle tracking. We will finally present how speckle-tracking techniques could benefit from highframe-rate echocardiography (also called “ultrafast echocardiography”). We will conclude with the expected contribution of high-frame-rate ultrasound for speckle tracking in three-dimensional (3-D) echocardiography.

Chapter Contents:

  • 26.1 Speckle formation and speckle tracking
  • 26.2 Basic principles of speckle tracking
  • 26.3 Speckle-tracking echocardiography
  • 26.4 Clinical utility of global longitudinal strain in speckle-tracking echocardiography
  • 26.5 Echocardiographic particle image velocimetry (Echo-PIV)
  • 26.6 Potential clinical utility of vortex flow imaging in echo-PIV
  • 26.7 Color Doppler as an alternative or complementary to speckle tracking
  • 26.8 Potential benefits of high-frame-rate echocardiography
  • 26.9 Toward volumetric speckle-tracking echocardiography
  • 26.10 Historical and clinical conclusion
  • References

Inspec keywords: stereo image processing; flow visualisation; medical image processing; speckle; echocardiography

Other keywords: three-dimensional echocardiography; cardiac ultrasound imaging; Doppler approaches; ultrafast echocardiography; high frame-rate echocardiography; speckle-tracking echocardiography; echocardiographic particle image velocimetry

Subjects: Sonic and ultrasonic radiation (biomedical imaging/measurement); Patient diagnostic methods and instrumentation; Biology and medical computing; Computer vision and image processing techniques; Sonic and ultrasonic radiation (medical uses); Optical, image and video signal processing; Flow visualization and imaging; Sonic and ultrasonic applications

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