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Planning of High Precision Surgery at the Lateral Skull Base

Wesarg, Stefan ; Becker, Meike ; Hakimi, Wissam El (2011)
Planning of High Precision Surgery at the Lateral Skull Base.
Advanced Medical Image Processing. Proceedings 2011.
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (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.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2011
Autor(en): Wesarg, Stefan ; Becker, Meike ; Hakimi, Wissam El
Art des Eintrags: Bibliographie
Titel: Planning of High Precision Surgery at the Lateral Skull Base
Sprache: Englisch
Publikationsjahr: 2011
Veranstaltungstitel: Advanced Medical Image Processing. Proceedings 2011
Kurzbeschreibung (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.

Freie Schlagworte: Forschungsgruppe Medical Computing (MECO), Simulation, Surgical planning, Minimally invasive surgery, Image enhancement, Ear nose throat (ENT), Image enhancement, Anatomical modeling
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 12 Nov 2018 11:16
Letzte Änderung: 26 Jul 2021 15:28
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