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A Software Tool for Planning and Evaluation of Non-Linear Trajectories for Minimally Invasive Lateral Skull Base Surgery

Fauser, Johannes and Stenin, Igor and Kristin, J. and Klenzner, Thomas and Schipper, Jörg and Sakas, Georgios (2016):
A Software Tool for Planning and Evaluation of Non-Linear Trajectories for Minimally Invasive Lateral Skull Base Surgery.
In: Curac 2016, [Conference or Workshop Item]

Abstract

The research project MUKNO II investigates the feasibility of non-linear access paths for minimally invasive lateral skull base surgery to optimize safety distance to risk structures and direction of insertion vectors. For this purpose a new surgical planning tool for manual as well as automatic nonholonomic path planning was developed. In ten 3D surface models of the temporal bone region trajectories to specific target points were manually created. The distance to critical structures and the curvature were evaluated along the course of these trajectories. First experiments with automatic nonholonomic planning showed the applicability of the implemented motion planner in the complex dense environment.

Item Type: Conference or Workshop Item
Erschienen: 2016
Creators: Fauser, Johannes and Stenin, Igor and Kristin, J. and Klenzner, Thomas and Schipper, Jörg and Sakas, Georgios
Title: A Software Tool for Planning and Evaluation of Non-Linear Trajectories for Minimally Invasive Lateral Skull Base Surgery
Language: English
Abstract:

The research project MUKNO II investigates the feasibility of non-linear access paths for minimally invasive lateral skull base surgery to optimize safety distance to risk structures and direction of insertion vectors. For this purpose a new surgical planning tool for manual as well as automatic nonholonomic path planning was developed. In ten 3D surface models of the temporal bone region trajectories to specific target points were manually created. The distance to critical structures and the curvature were evaluated along the course of these trajectories. First experiments with automatic nonholonomic planning showed the applicability of the implemented motion planner in the complex dense environment.

Uncontrolled Keywords: Forschungsgruppe Medical Computing (MECO), Robot assisted surgery, Minimally invasive surgery, Path planning
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Mathematical and Applied Visual Computing
Event Title: Curac 2016
Date Deposited: 08 May 2019 06:26
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