Becker, Meike ; Hansen, Stefan ; Wesarg, Stefan ; Sakas, Georgios (2014)
Path Planning for Multi-port Lateral Skull Base Surgery Based on First Clinical Experiences.
Clinical Image-Based Procedures. Translational Research in Medical Imaging.
doi: 10.1007/978-3-319-05666-1_4
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2014 |
| Autor(en): | Becker, Meike ; Hansen, Stefan ; Wesarg, Stefan ; Sakas, Georgios |
| Art des Eintrags: | Bibliographie |
| Titel: | Path Planning for Multi-port Lateral Skull Base Surgery Based on First Clinical Experiences |
| Sprache: | Englisch |
| Publikationsjahr: | 2014 |
| Verlag: | Springer, Berlin, Heidelberg, New York |
| Reihe: | Lecture Notes in Computer Science (LNCS); 8361 |
| Veranstaltungstitel: | Clinical Image-Based Procedures. Translational Research in Medical Imaging |
| DOI: | 10.1007/978-3-319-05666-1_4 |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | 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 |
| 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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