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Motion estimation with tagged ultrasound images. *H. Liebgott – Adeline Bernard – Sébastien Salles. Introduction of the platform scanners/ probes / phantoms. Tagging: a way to facilitate motion estimation. Conventional MRI sequence. Tagged MRI sequence.

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motion estimation with tagged ultrasound images

Motion estimation with tagged ultrasound images

*H. Liebgott – Adeline Bernard – Sébastien Salles

slide2

Introduction of the platform

scanners/ probes / phantoms

tagging a way to facilitate motion estimation
Tagging: a way to facilitate motion estimation

Conventional MRI sequence

Tagged MRI sequence

us tagging or transverse oscillations
US Tagging or Transverse oscillations

49.5

Depth [mm]

50

50.5

-1

-0.5

0

0.5

1

1

Amplitude

0.5

Amplitude

0

-0.5

-1

-1

-0.5

0

0.5

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-1

Lateral position [mm]

x

z

Conventional *PSF

Axial motion estimation OK

Transvers motion estimation more difficult

*PSF = Point spreadfunction, image of a single scatterrer

us tagging or transverse oscillations1
US Tagging or Transverse oscillations

49.5

Depth [mm]

50

50.5

-1

-0.5

0

0.5

1

1

Amplitude

0.5

Amplitude

0

-0.5

-1

-1

-0.5

0

0.5

1

-1

Lateral position [mm]

49.5

Depth [mm]

50

50.5

x

1

-1

-0.5

0

0.5

1

Amplitude

0.5

z

Amplitude

0

-0.5

-1

-1

-0.5

0

0.5

1

Lateral position [mm]

Conventional *PSF

???Tagged PSF ???

*PSF = Point spreadfunction, image of a single scatterrer

to image formation principle
TO image formation principle

US Taggingiscreatedusingspecificbeamforming*strategies

It canbeseen as the interferencesbetweentwo sources

*Beamforming = combination of the signalsreceived by the probe’selements

slide7

US-Taggingimages on the Ula-Op

  • Images
  • Transverse motion estimation on a phantom
  • 2D motion estimation of the carotidartery
us tagging and cardiac imaging
US-Tagging and cardiacimaging

Simulations

FFT 2D

Conventionnelle

US-Tagging

in vivo
in vivo

Conventionnel

US-Tagging

conclusion
Conclusion
  • « US tagging  »
    • Facilitate 2D motion estimation
    • Realistic simulations
    • faisabilité in vitro and in vivo
  • Perspectives
    • Validatequantitatively the in vivo part
    • Ultrafast US Tagging
    • 3D US Tagging
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