1. Motion estimation with tagged ultrasound images
*H. Liebgott – Adeline Bernard – Sébastien Salles

2. Introduction of the platform scanners/ probes / phantoms

3. Tagging: a way to facilitate motion estimation
Montrer le cœur, commenter, marquage plutôt que taggong expliquer le principe,
Conventional MRI sequence
Tagged MRI sequence

4. US Tagging or Transverse oscillationsx z
Conventional *PSF -1
-0.5
0.5 1
Amplitude
Lateral position [mm]
Depth [mm]
49.5 50
50.5
Axial motion estimation OK 
Transvers motion estimation more difficult 
*PSF = Point spread function, image of a single scatterrer 

5. US Tagging or Transverse oscillationsx z
Conventional *PSF -1
-0.5
0.5 1
Amplitude
Lateral position [mm]
Depth [mm]
49.5 50
50.5
???Tagged PSF ??? -1
-0.5
0.5 1
Amplitude
Lateral position [mm]
Depth [mm]
49.5 50
50.5
*PSF = Point spread function, image of a single scatterrer 

6. TO image formation principle
US Tagging is created using specific beamforming* strategies
It can be seen as the interferences between two sources
*Beamforming = combination of the signals received by the probe’s elements

7. US-Tagging images on the Ula-Op
Transverse motion estimation on a phantom
2D motion estimation of the carotid artery

8. US-Tagging and cardiac imaging
Simulations
FFT 2D
Conventionnelle
US-Tagging

9. Motion fields

10. in vivo
Conventionnel
US-Tagging

11. in vivo

12. Conclusion « US tagging » Perspectives Facilitate 2D motion estimation
Realistic simulations
faisabilité in vitro and in vivo
Perspectives
Validate quantitatively the in vivo part
Ultrafast US Tagging
3D US Tagging

13. Thanks, Questions?