Müller, Philip; Haslebacher, Caroline; Eigl, Benjamin (2019). Computer-assistance in minimally invasive endopancreatic surgery (In Press). In: 18. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V.. Tagungsband. Deutsche Gesellschaft für Computer- und Roboterassistierte Chirurgie
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19-07-01 CAS_in_MIS_EPS.pdf - Accepted Version Restricted to registered users only Available under License Publisher holds Copyright. Download (380kB) |
Endopancreatic surgery stands for an experimental minimally invasive technique, where a pancreatic resection is performed with a rigid endoscope from inside the pancreas. Yet, the missing haptic feedback and the decreased field of view pose major challenges for the surgeon. Using computer-assistance pre- and intraoperative image data can be combined to provide additional visualization support. The aim of this proof of concept study was to combine the novel surgical technique (endopancreatic surgery) with computer assistance for the resection of invisible pancreatic tumours. Computer assisted endopancreatic surgery was feasible in a 3D pancreas model and allowed safe resection of the invisible pancreatic tumours. Pure intraparenchymal landmark registration showed the best accuracy with a fiducial registration error of 2.24mm (1.40-2.85). The preliminary results showed an accurate registration using internal landmarks, which is the cornerstone of a reliable image-guided navigation.
Item Type: |
Conference or Workshop Item (Paper) |
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Division/Institute: |
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research |
Graduate School: |
Graduate School for Cellular and Biomedical Sciences (GCB) |
UniBE Contributor: |
Eigl, Benjamin Peter |
Subjects: |
600 Technology 600 Technology > 610 Medicine & health |
Publisher: |
Deutsche Gesellschaft für Computer- und Roboterassistierte Chirurgie |
Language: |
English |
Submitter: |
Benjamin Peter Eigl |
Date Deposited: |
06 Feb 2020 15:50 |
Last Modified: |
05 Dec 2022 15:36 |
BORIS DOI: |
10.7892/boris.139617 |
URI: |
https://boris.unibe.ch/id/eprint/139617 |