Marc Garbey1,2,3, Toan B Nguyen4,5, Albert Y Huang2, Vid Fikfak2, Brian J Dunkin2. 1. Center for Computational Surgery, Houston Methodist Research Institute, Houston, TX, USA. 2. Methodist Institute for Technology, Innovation and Education- Houston Methodist Hospital, Houston, TX, USA. 3. LaSIE UMR - 7356 CNRS - University of La Rochelle, La Rochelle, France. 4. Center for Computational Surgery, Houston Methodist Research Institute, Houston, TX, USA. tbnguyen@uh.edu. 5. Department of Computer Science, University of Houston, Houston, TX, USA. tbnguyen@uh.edu.
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.
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.
Entities:
Keywords:
Laparoscopic surgery; Laparoscopic surgery trainer box; Smart Trocar; Surface imaging; Surgery guidance system
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