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Development of an image-guided robot for small animal research

Peter Kazanzides, Jenghwa Chang, Iulian Iordachita, Jack Li, C. Clifton Ling, Gábor Fichtinger

发表年份
2007
引用次数
7
访问权限
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摘要

We developed a robot system that can be used for image-guided experimental procedures on small animals, where the goal is to perform physical actions at specific positions identified on a preoperative image. The animal is first placed in a fixture that is compatible with all imaging systems of interest, including PET, SPECT, CT and MRI. After imaging, the fixture is attached and registered to the robot system, where the image-guided intervention is performed. This system has been applied to perform pO2 measurements with physical probes based on tumor hypoxia images obtained in an animal PET scanner. This paper focuses on the design and validation of the robot system. The validation is performed using a phantom and includes a new method for estimating the Fiducial Localization Error (FLE) that is based on the measured Fiducial Distance Error (FDE). The results indicate that the robot system can position the measurement probe at a defined target with a mean error that is less than 0.4 mm.

关键词

Computer visionComputer scienceArtificial intelligenceRobotImage (mathematics)Human–computer interaction

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