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Path Planning for Multi-port Lateral Skull Base Surgery Based on First Clinical Experiences

Becker, Meike and Hansen, Stefan and Wesarg, Stefan and Sakas, Georgios (2014):
Path Planning for Multi-port Lateral Skull Base Surgery Based on First Clinical Experiences.
In: Lecture Notes in Computer Science (LNCS); 8361, Springer, Berlin, Heidelberg, New York, In: Clinical Image-Based Procedures. Translational Research in Medical Imaging, pp. 23-30, DOI: 10.1007/978-3-319-05666-1₄,
[Conference or Workshop Item]

Abstract

Our research project investigates a multi-port minimally-traumatic approach for lateral skull base surgery, where the surgical target shall be reached through up to three drill canals. For this purpose, an accurate path planning is crucial. In the present work, we propose a semiautomatic path planning approach for multi-port minimally-traumatic lateral skull base surgery. The best path combinations are automatically determined by optimizing the angles and distance buffers of the drill canals. We compare the automatically computed path combinations for 20 data sets to those selected manually by two different clinicians. The experiments prove that we can adequately reproduce the clinicians' choice.

Item Type: Conference or Workshop Item
Erschienen: 2014
Creators: Becker, Meike and Hansen, Stefan and Wesarg, Stefan and Sakas, Georgios
Title: Path Planning for Multi-port Lateral Skull Base Surgery Based on First Clinical Experiences
Language: English
Abstract:

Our research project investigates a multi-port minimally-traumatic approach for lateral skull base surgery, where the surgical target shall be reached through up to three drill canals. For this purpose, an accurate path planning is crucial. In the present work, we propose a semiautomatic path planning approach for multi-port minimally-traumatic lateral skull base surgery. The best path combinations are automatically determined by optimizing the angles and distance buffers of the drill canals. We compare the automatically computed path combinations for 20 data sets to those selected manually by two different clinicians. The experiments prove that we can adequately reproduce the clinicians' choice.

Series Name: Lecture Notes in Computer Science (LNCS); 8361
Publisher: Springer, Berlin, Heidelberg, New York
Uncontrolled Keywords: Business Field: Visual decision support, Research Area: (Interactive) simulation (SIM), Research Area: Modeling (MOD), Forschungsgruppe Medical Computing (MECO), Path planning, Minimally invasive surgery, Computer assisted surgery
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: Clinical Image-Based Procedures. Translational Research in Medical Imaging
Date Deposited: 12 Nov 2018 11:16
DOI: 10.1007/978-3-319-05666-1₄
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