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Towards Automatic Path Planning for Multi-port Minimally-Traumatic Lateral Skull Base Surgery

Becker, Meike ; Gutbell, Ralf ; Stenin, Igor ; Wesarg, Stefan (2013)
Towards Automatic Path Planning for Multi-port Minimally-Traumatic Lateral Skull Base Surgery.
Clinical Image-Based Procedures. From Planning to Intervention.
doi: 10.1007/978-3-642-38079-2_8
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

We investigate a multi-port minimally-traumatic approach for lateral skull base surgery. Our long-term goal is to automatically determine the best combination of three paths from the skull surface to the surgical target. Since this multi-port approach is not yet in clinical use, it is difficult to define what the best combination of paths is. Therefore, we present a planning tool which allows to manually selecting a combination of three paths. A clinician used this planning tool to select the best combination of three paths for three target structures in computed tomography data sets of 20 patients. From this choice we derived initial constraints for an automatic planning of the best combination of paths.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2013
Autor(en): Becker, Meike ; Gutbell, Ralf ; Stenin, Igor ; Wesarg, Stefan
Art des Eintrags: Bibliographie
Titel: Towards Automatic Path Planning for Multi-port Minimally-Traumatic Lateral Skull Base Surgery
Sprache: Englisch
Publikationsjahr: 2013
Verlag: Springer, Berlin, Heidelberg, New York
Reihe: Lecture Notes in Computer Science (LNCS); 7761
Veranstaltungstitel: Clinical Image-Based Procedures. From Planning to Intervention
DOI: 10.1007/978-3-642-38079-2_8
Kurzbeschreibung (Abstract):

We investigate a multi-port minimally-traumatic approach for lateral skull base surgery. Our long-term goal is to automatically determine the best combination of three paths from the skull surface to the surgical target. Since this multi-port approach is not yet in clinical use, it is difficult to define what the best combination of paths is. Therefore, we present a planning tool which allows to manually selecting a combination of three paths. A clinician used this planning tool to select the best combination of three paths for three target structures in computed tomography data sets of 20 patients. From this choice we derived initial constraints for an automatic planning of the best combination of paths.

Freie Schlagworte: Forschungsgruppe Medical Computing (MECO), Business Field: Visual decision support, Research Area: Confluence of graphics and vision, Path planning, Operation planning, Computer assisted surgery, Minimally invasive surgery
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 12 Nov 2018 11:16
Letzte Änderung: 12 Nov 2018 11:16
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