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The International Journal of Robotics Research
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Real-time Motion Stabilization with B-mode Ultrasound Using Image Speckle Information and Visual Servoing

Alexandre Krupa

IRISA, INRIA Rennes-Bretagne Atlantique, Lagadic, F-35042 Rennes, France, alexandre.krupa{at}irisa.fr

Gabor Fichtinger

School of Computing, Queen's University, Kingston, ON, Canada, gabor{at}cs.queensu.ca, Engineering Research Center, Johns Hopkins University, Baltimore, MD 21218, USA

Gregory D. Hager

Engineering Research Center, Johns Hopkins University, Baltimore, MD 21218, USA, hager{at}cs.jhu.edu

We develop visual servo control to stabilize the image of moving soft tissue in B-mode ultrasound (US) imaging. We define the target region in a B-mode US image, and automatically control a robot to manipulate a an US probe by minimizing the difference between the target and the most recently acquired US image. We exploit tissue speckle information to compute the relative pose between the probe and the target region. In-plane motion is handled by image region tracking and out-of-plane motion recovered by speckle tracking using speckle decorrelation. A visual servo control scheme is then applied to manipulate the US probe to stabilize the target region in the live US image. In a first experiment involving only translational motion, an US phan-In a first experiment involving only translational motion, an US phantom was moved by one robot while stabilizing the target with a second robot holding the US probe. In a second experiment, large six-degree-of-freedom (DOF) motions were manually applied to an US phantom while a six-DOF medical robot was controlled automatically to compensate for the probe displacement. The obtained results support the hypothesis that automated motion stabilization shows promise for a variety of US-guided medical procedures such as prostate cancer brachytherapy.

Key Words: medical robotics • ultrasound • speckle correlation • visual servoing • motion compensation

This version was published on October 1, 2009

The International Journal of Robotics Research, Vol. 28, No. 10, 1334-1354 (2009)
DOI: 10.1177/0278364909104066


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