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A method for going from 2D laparoscope to 3D acquisition of surface landmarks by a novel computer vision approach
Authors:Marc Garbey  Toan B. Nguyen  Albert Y. Huang  Vid Fikfak  Brian J. Dunkin
Affiliation:1.Center for Computational Surgery,Houston Methodist Research Institute,Houston,USA;2.Methodist Institute for Technology,Innovation and Education– Houston Methodist Hospital,Houston,USA;3.LaSIE UMR - 7356 CNRS - University of La Rochelle,La Rochelle,France;4.Department of Computer Science,University of Houston,Houston,USA
Abstract:

Purpose

This paper presents a method to use the Smart Trocars—our new surgical instrument recognition system—or any accurate localization system of surgical instrument for acquiring intraoperative surface data. Complex laparoscopic surgeries need a proper guidance system which requires registering the preoperative data from a CT or MRI scan to the intraoperative patient state. The Smart Trocar can be used to localize the instruments when it comes to contact with the soft tissue surface.

Method

Two successive views through the laparoscope at different angles with the 3D localization of a fixed tool at one single location using the Smart Trocars can point out visible features during the surgery and acquire their location in 3D to provide a depth map in the region of interest. In other words, our method transforms a standard laparoscope system into a system with three-dimensional registration capability.

Result

This method was initially tested on a simulation for uncertainty assessment and then on a rigid model for verification with an accuracy within 2 mm distance. In addition, an in vivo experiment on pig model was also conducted to investigate how the method might be used during a physiologic respiratory cycle.

Conclusion

This method can be applied in a large number of surgical applications as a guidance system on its own or in conjunction with other navigation techniques. Our work encourages further testing with realistic surgical applications in the near future.
Keywords:
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