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
Conference or Workshop Item, Bibliographie
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 ; Hansen, Stefan ; Wesarg, Stefan ; Sakas, Georgios |
| Type of entry: | Bibliographie |
| Title: | Path Planning for Multi-port Lateral Skull Base Surgery Based on First Clinical Experiences |
| Language: | English |
| Date: | 2014 |
| Publisher: | Springer, Berlin, Heidelberg, New York |
| Series: | Lecture Notes in Computer Science (LNCS); 8361 |
| Event Title: | Clinical Image-Based Procedures. Translational Research in Medical Imaging |
| DOI: | 10.1007/978-3-319-05666-1_4 |
| 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. |
| 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 |
| Date Deposited: | 12 Nov 2018 11:16 |
| Last Modified: | 12 Nov 2018 11:16 |
| PPN: | |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
 |
Send an inquiry |
Options (only for editors)
 |
Show editorial Details |
Drucken
Impressum