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
Conference or Workshop Item, Bibliographie
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.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2013 |
| Creators: | Becker, Meike ; Gutbell, Ralf ; Stenin, Igor ; Wesarg, Stefan |
| Type of entry: | Bibliographie |
| Title: | Towards Automatic Path Planning for Multi-port Minimally-Traumatic Lateral Skull Base Surgery |
| Language: | English |
| Date: | 2013 |
| Publisher: | Springer, Berlin, Heidelberg, New York |
| Series: | Lecture Notes in Computer Science (LNCS); 7761 |
| Event Title: | Clinical Image-Based Procedures. From Planning to Intervention |
| DOI: | 10.1007/978-3-642-38079-2_8 |
| 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. |
| Uncontrolled Keywords: | 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 |
| 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