Wesarg, Stefan ; Becker, Meike ; Hakimi, Wissam El (2011)
Planning of High Precision Surgery at the Lateral Skull Base.
Advanced Medical Image Processing. Proceedings 2011.
Conference or Workshop Item, Bibliographie
Abstract
Minimally traumatic surgery at the lateral skull base is currently far from being the standard in clinical routine. Drilling one or more linear paths towards the inner ear requires high accuracy. The project MUKNO aims at the development of tools and methods for allowing those minimally invasive approaches. For this, the errors of each single step of the surgery pipeline shall be quantified and minimized. All subsequent steps (e. g. surgery planning, navigation) rely on the acquired image data. Thus, it is crucial to provide such data with a sufficient accuracy. In this work, we present first results obtained in the project MUKNO. Here, one aspect is the high resolution image reconstruction from two orthogonal data sets. A second topic is the integration of a patient specific model of the lateral skull base into a virtual surgery simulation for the determination of possible drilling paths. For this, a first prototype of a planning tool is presented.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2011 |
| Creators: | Wesarg, Stefan ; Becker, Meike ; Hakimi, Wissam El |
| Type of entry: | Bibliographie |
| Title: | Planning of High Precision Surgery at the Lateral Skull Base |
| Language: | English |
| Date: | 2011 |
| Event Title: | Advanced Medical Image Processing. Proceedings 2011 |
| Abstract: | Minimally traumatic surgery at the lateral skull base is currently far from being the standard in clinical routine. Drilling one or more linear paths towards the inner ear requires high accuracy. The project MUKNO aims at the development of tools and methods for allowing those minimally invasive approaches. For this, the errors of each single step of the surgery pipeline shall be quantified and minimized. All subsequent steps (e. g. surgery planning, navigation) rely on the acquired image data. Thus, it is crucial to provide such data with a sufficient accuracy. In this work, we present first results obtained in the project MUKNO. Here, one aspect is the high resolution image reconstruction from two orthogonal data sets. A second topic is the integration of a patient specific model of the lateral skull base into a virtual surgery simulation for the determination of possible drilling paths. For this, a first prototype of a planning tool is presented. |
| Uncontrolled Keywords: | Forschungsgruppe Medical Computing (MECO), Simulation, Surgical planning, Minimally invasive surgery, Image enhancement, Ear nose throat (ENT), Image enhancement, Anatomical modeling |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Interactive Graphics Systems |
| Date Deposited: | 12 Nov 2018 11:16 |
| Last Modified: | 26 Jul 2021 15:28 |
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