Paper
1 March 2011 A novel bronchoscope tracking method for bronchoscopic navigation using a low cost optical mouse sensor
Xióngbiao Luó, Marco Feuerstein, Takayuki Kitasaka, Hiroshi Natori, Hirotsugu Takabatake, Yoshinori Hasegawa, Kensaku Mori
Author Affiliations +
Abstract
Image-guided bronchoscopy usually requires to track the bronchoscope camera position and orientation to align the preinterventional 3-D computed tomography (CT) images to the intrainterventional 2-D bronchoscopic video frames. Current state-of-the-art image-based algorithms often fail in bronchoscope tracking due to shortages of information on depth and rotation around the viewing (running) direction of the bronchoscope camera. To address these problems, this paper presents a novel bronchoscope tracking method for bronchoscopic navigation based on a low-cost optical mouse sensor, bronchial structure information, and image registration. We first utilize an optical mouse senor to automatically measure the insertion depth and the rotation of the viewing direction along the bronchoscope. We integrate the outputs of such a 2-D sensor by performing a centerline matching on the basis of bronchial structure information before optimizing the bronchoscope camera motion parameters during image registration. An assessment of our new method is implemented on phantom data. Experimental results illustrate that our proposed method is a promising means for bronchoscope tracking, compared to our previous image-based method, significantly improving the tracking performance.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xióngbiao Luó, Marco Feuerstein, Takayuki Kitasaka, Hiroshi Natori, Hirotsugu Takabatake, Yoshinori Hasegawa, and Kensaku Mori "A novel bronchoscope tracking method for bronchoscopic navigation using a low cost optical mouse sensor", Proc. SPIE 7964, Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling, 79641T (1 March 2011); https://doi.org/10.1117/12.877929
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Sensors

Cameras

Image registration

Optical tracking

Video

Computed tomography

Image processing

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