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Techniques for tracking: image registration

Techniques for tracking: image registration

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This chapter is focused on the image registration techniques that estimate the motion and strain by tracking the speckle pattern directly from the intensity of the B-mode US images assuming a temporal relationship between images. The fixed and moving images are noted as It and It-1 with t meaning a specific time.

Chapter Contents:

  • 15.1 Ultrasound image registration: speckle tracking
  • 15.2 Similarity model
  • 15.2.1 Feature-based image registration
  • 15.2.2 Intensity-based image registration
  • 15.2.3 Maximum likelihood approach
  • 15.3 Transformation model
  • 15.3.1 Rigid transformation
  • 15.3.2 Nonrigid transformation according to the physical model
  • 15.3.2.1 Elastic transformations
  • 15.3.2.2 Transformation models based on flow theory
  • 15.3.2.3 Fluid flow transformations
  • 15.3.2.4 Optical flow
  • 15.3.2.5 Diffusion
  • 15.3.3 Parametric nonrigid transformation
  • 15.3.3.1 Radial basis functions
  • 15.3.3.2 B-splines
  • 15.3.4 Regularization
  • 15.3.5 Diffeomorphic and inverse transformation
  • 15.3.5.1 Diffeomorphism by using a variational approach
  • 15.4 Optimization strategy
  • 15.5 Influence of speckle tracking strategies for motion and strain estimation
  • Acknowledgments
  • References

Inspec keywords: image registration; object tracking; motion estimation; biomedical ultrasonics; medical image processing

Other keywords: motion estimation; image registration; speckle pattern tracking; strain estimation; B-mode ultrasound images

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

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