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http://dx.doi.org/10.25673/101308
Titel: | Distance and force visualisations for improved simulation of intracranial aneurysm clipping |
Autor(en): | Allgaier, Mareen Neyazi, Belal Preim, Bernhard Saalfeld, Sylvia |
Erscheinungsdatum: | 2021 |
Art: | Artikel |
Sprache: | Englisch |
URN: | urn:nbn:de:gbv:ma9:1-1981185920-1032637 |
Schlagwörter: | Aneurysm clipping simulation Surgical training Distance visualisation Force visualisation |
Zusammenfassung: | Purpose The treatment of cerebral aneurysms shifted from microsurgical to endovascular therapy. But for some difficult aneurysm configurations, e.g. wide neck aneurysms, microsurgical clipping is better suited. From this combination of limited interventions and the complexity of these cases, the need for improved training possibilities for young neurosurgeons arises. Method We designed and implemented a clipping simulation that requires only a monoscopic display, mouse and keyboard. After a virtual craniotomy, the user can apply a clip at the aneurysm which is deformed based on a mass–spring model. Additionally, concepts for visualising distances as well as force were implemented. The distance visualisations aim to enhance spatial relations, improving the navigation of the clip. The force visualisations display the force acting on the vessel surface by the applied clip. The developed concepts include colour maps and visualisations based on rays, single objects and glyphs. Results The concepts were quantitatively evaluated via an online survey and qualitatively evaluated by a neurosurgeon. Regarding force visualisations, a colour map is the most appropriate concept. The necessity of distance visualisations became apparent, as the expert was unable to estimate distances and to properly navigate the clip. The distance rays were the only concept supporting the navigation appropriately. Conclusion The easily accessible surgical training simulation for aneurysm clipping benefits from a visualisation of distances and simulated forces. |
URI: | https://opendata.uni-halle.de//handle/1981185920/103263 http://dx.doi.org/10.25673/101308 |
Open-Access: | Open-Access-Publikation |
Nutzungslizenz: | (CC BY 4.0) Creative Commons Namensnennung 4.0 International |
Sponsor/Geldgeber: | Projekt DEAL 2021 |
Journal Titel: | International journal of computer assisted radiology and surgery |
Verlag: | Springer |
Verlagsort: | Berlin |
Band: | 16 |
Heft: | 8 |
Originalveröffentlichung: | 10.1007/s11548-021-02413-1 |
Seitenanfang: | 1297 |
Seitenende: | 1304 |
Enthalten in den Sammlungen: | Fakultät für Informatik (OA) |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
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Allgaier et al._Distance and force_2021.pdf | Zweitveröffentlichung | 1.33 MB | Adobe PDF | Öffnen/Anzeigen |