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Using Shading to Register an Intraoperative CT Scan to a Laparoscopic Image

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9515))

Abstract

In abdominal surgery, augmented reality has been attempted by registering preoperative 3D data onto the intraoperative laparoscopic view. The registration may be aided by an interventional 3D imaging system such as a rotational C-arm. It has been shown that one can determine the transformation between an intraoperative 3D volume and the laparoscopic view by letting the laparoscope tip enter the C-arm acquisition field. However, the transformation estimation was up to a 1D rotation and a 2D translation. We propose to complete this registration by using local shading constraints with a piecewise constant albedo hypothesis on the surface of the surgical scene. Thus, the registration becomes fully automatic with no extra apparatus required. Results from experiments on in vivo data show a millimetric registration accuracy.

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Correspondence to Sylvain Bernhardt .

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Bernhardt, S., Nicolau, S.A., Bartoli, A., Agnus, V., Soler, L., Doignon, C. (2016). Using Shading to Register an Intraoperative CT Scan to a Laparoscopic Image. In: Luo, X., Reichl, T., Reiter, A., Mariottini, GL. (eds) Computer-Assisted and Robotic Endoscopy. CARE 2015. Lecture Notes in Computer Science(), vol 9515. Springer, Cham. https://doi.org/10.1007/978-3-319-29965-5_6

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  • DOI: https://doi.org/10.1007/978-3-319-29965-5_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-29964-8

  • Online ISBN: 978-3-319-29965-5

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