Paper
10 March 2006 CT fluoroscopy-guided robotically-assisted lung biopsy
Sheng Xu, Gabor Fichtinger, Russell H. Taylor, Filip Banovac M.D., Kevin Cleary
Author Affiliations +
Abstract
Lung biopsy is a common interventional radiology procedure. One of the difficulties in performing the lung biopsy is that lesions move with respiration. This paper presents a new robotically assisted lung biopsy system for CT fluoroscopy that can automatically compensate for the respiratory motion during the intervention. The system consists of a needle placement robot to hold the needle on the CT scan plane, a radiolucent Z-frame for registration of the CT and robot coordinate systems, and a frame grabber to obtain the CT fluoroscopy image in real-time. The CT fluoroscopy images are used to noninvasively track the motion of a pulmonary lesion in real-time. The position of the lesion in the images is automatically determined by the image processing software and the motion of the robot is controlled to compensate for the lesion motion. The system was validated under CT fluoroscopy using a respiratory motion simulator. A swine study was also done to show the feasibility of the technique in a respiring animal.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sheng Xu, Gabor Fichtinger, Russell H. Taylor, Filip Banovac M.D., and Kevin Cleary "CT fluoroscopy-guided robotically-assisted lung biopsy", Proc. SPIE 6141, Medical Imaging 2006: Visualization, Image-Guided Procedures, and Display, 61411L (10 March 2006); https://doi.org/10.1117/12.652882
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Contrast transfer function

Lung

Computed tomography

Biopsy

Image processing

Fluoroscopy

Detection and tracking algorithms

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