Faculty Profiles - Deguchi Daisuke

Papers - Deguchi Daisuke

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New calculation method of image similarity for endoscope tracking based on image registration in endoscope navigation Reviewed

Daisuke Deguchi, Kensaku Mori, Yasuhito Suenaga, Jun-ichi Hasegawa, Junichiro Toriwaki, Hiroshi Natori, Hirotsugu Takabatake

Proceedings of the 17th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS2003) Vol. 1256 page： 460 - 466 2003.6

Tracking of a bronchoscope using epipolar geometry analysis and intensity-based image registration of real and virtual endoscopic images Reviewed

Kensaku Mori, Daisuke Deguchi, Jun Sugiyama, Yasuhito Suenaga, Junichiro Toriwaki, Calvin R. Maurer Jr., Hirotsugu Takabatake, Hiroshi Natori

Medical Image Analysis Vol. 6 page： 321 - 336 2002.9

Language：English Publishing type：Research paper (scientific journal)

This paper describes a method for tracking the camera motion of a flexible endoscope, in particular a bronchoscope, using epipolar geometry analysis and intensity-based image registration. The method proposed here does not use a positional sensor attached to the endoscope. Instead, it tracks camera motion using real endoscopic (RE) video images obtained at the time of the procedure and X-ray CT images acquired before the endoscopic examination. A virtual endoscope system (VES) is used for generating virtual endoscopic (VE) images. The basic idea of this tracking method is to find the viewpoint and view direction of the VES that maximizes a similarity measure between the VE and RE images. To assist the parameter search process, camera motion is also computed directly from epipolar geometry analysis of the RE video images. The complete method consists of two steps: (a) rough estimation using epipolar geometry analysis and (b) precise estimation using intensity-based image registration. In the rough registration process, the method computes camera motion from optical flow patterns between two consecutive RE video image frames using epipolar geometry analysis. In the image registration stage, we search for the VES viewing parameters that generate the VE image that is most similar to the current RE image. The correlation coefficient and the mean square intensity difference are used for measuring image similarity. The result obtained in the rough estimation process is used for restricting the parameter search area. We applied the method to bronchoscopic video image data from three patients who had chest CT images. The method successfully tracked camera motion for about 600 consecutive frames in the best case. Visual inspection suggests that the tracking is sufficiently accurate for clinical use. Tracking results obtained by performing the method without the epipolar geometry analysis step were substantially worse. Although the method required about 20 s to process one frame, the results demonstrate the potential of image-based tracking for use in an endoscope navigation system.

DOI： 10.1016/S1361-8415(02)00089-0

Camera motion tracking of real bronchoscope using epipolar geometry analysis and CT derived bronchoscopic images Reviewed

Daisuke Deguchi, Kensaku Mori, Jun-ichi Hasegawa, Junichiro Toriwaki, Hirotsugu Takabatake, Hiroshi Natori

Proceedings of SPIE Medical Imaging 2002 Vol. 4683 page： 30 - 41 2002.2

A method for tracking the camera motion of real endoscope by epipolar geometry analysis and virtual endoscopy system Reviewed

Kensaku Mori, Daisuke Deguchi, Jun-ichi Hasegawa, Yasuhito Suenaga, Junichiro Toriwaki, Hirotsugu Takabatake, Hiroshi Natori

Proceedings of the 4th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2001 Vol. LNCS 2208 page： 1 - 8 2001.10

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Papers - Deguchi Daisuke