Autostereoscopic 3D visualization and image processing system for neurosurgery
Publikation: Beitrag in Fachzeitschrift › Forschungsartikel › Beigetragen › Begutachtung
Beitragende
Abstract
A demonstrator system for planning neurosurgical procedures was developed based on commercial hardware and software. The system combines an easyto- use environment for surgical planning with highend visualization and the opportunity to analyze data sets for research purposes. The demonstrator system is based on the software AMIRA. Specific algorithms for segmentation, elastic registration, and visualization have been implemented and adapted to the clinical workflow. Modules from AMIRA and the image processing library Insight Segmentation and Registration Toolkit (ITK) can be combined to solve various image processing tasks. Customized modules tailored to specific clinical problems can easily be implemented using the AMIRA application programming interface and a self-developed framework for ITK filters. Visualization is done via autostereoscopic displays, which provide a 3D impression without viewing aids. A Spaceball device allows a comfortable, intuitive way of navigation in the data sets. Via an interface to a neurosurgical navigation system, the demonstrator system can be used intraoperatively. The precision, applicability, and benefit of the demonstrator system for planning of neurosurgical interventions and for neurosurgical research were successfully evaluated by neurosurgeons using phantom and patient data sets.
Details
Originalsprache | Englisch |
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Seiten (von - bis) | 281-291 |
Seitenumfang | 11 |
Fachzeitschrift | Biomedical engineering : joint journal of the German Society for Biomedical Engineering in VDE and the Austrian and Swiss Societies for Biomedical Engineering |
Jahrgang | 58 |
Ausgabenummer | 3 |
Publikationsstatus | Veröffentlicht - Juni 2013 |
Peer-Review-Status | Ja |
Externe IDs
PubMed | 23740656 |
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Schlagworte
Ziele für nachhaltige Entwicklung
ASJC Scopus Sachgebiete
Schlagwörter
- Autostereoscopy, Diffusion tensor imaging, Interaction, Multimodality phantoms, Visualization