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3D Ultrasound-Guided Robotic Needle 
Steering in Biological Tissue 
Robotic needle steering systems have the potential to greatly improve medical 
interventions, but they require new methods for medical image guidance. Three-dimensional 
(3D) ultrasound is a widely available, low-cost imaging modality that may be 
used to provide real-time feedback to needle steering robots. Unfortunately, the poor 
visibility of steerable needles in standard grayscale ultrasound makes automatic 
segmentation of the needles impractical. A new imaging approach is proposed, in which 
high-frequency vibration of a steerable needle makes it visible in ultrasound Doppler 
images. Experiments demonstrate that segmentation from this Doppler data is accurate to 
within 1 to 2 mm. An image-guided control algorithm that incorporates the segmentation 
data as feedback is also described. In experimental tests in ex vivo bovine liver tissue, a 
robotic needle steering system implementing this control scheme was able to consistently 
steer a needle tip to a simulated target with an average error of 1.57 mm. Implementation of 
3D ultrasoundguided needle steering in biological tissue represents a significant step 
toward the clinical application of robotic needle steering.

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3 d ultrasound guided robotic needle steering in biological tissue

  • 1. 3D Ultrasound-Guided Robotic Needle Steering in Biological Tissue Robotic needle steering systems have the potential to greatly improve medical interventions, but they require new methods for medical image guidance. Three-dimensional (3D) ultrasound is a widely available, low-cost imaging modality that may be used to provide real-time feedback to needle steering robots. Unfortunately, the poor visibility of steerable needles in standard grayscale ultrasound makes automatic segmentation of the needles impractical. A new imaging approach is proposed, in which high-frequency vibration of a steerable needle makes it visible in ultrasound Doppler images. Experiments demonstrate that segmentation from this Doppler data is accurate to within 1 to 2 mm. An image-guided control algorithm that incorporates the segmentation data as feedback is also described. In experimental tests in ex vivo bovine liver tissue, a robotic needle steering system implementing this control scheme was able to consistently steer a needle tip to a simulated target with an average error of 1.57 mm. Implementation of 3D ultrasoundguided needle steering in biological tissue represents a significant step toward the clinical application of robotic needle steering.