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Microscope Embedded Neurosurgical Training and Intraoperative System

De Mauro, Alessandro

Abstract:
In the recent years, neurosurgery has been strongly influenced by new technologies. Computer Aided Surgery (CAS) offers several benefits for patients' safety but fine techniques targeted to obtain minimally invasive and traumatic treatments are required, since intra-operative false movements can be devastating, resulting in patients deaths. The precision of the surgical gesture is related both to accuracy of the available technological instruments and surgeon's experience. In this frame, medical training is particularly important. From a technological point of view, the use of Virtual Reality (VR) for surgeon training and Augmented Reality (AR) for intra-operative treatments offer the best results.
In addition, traditional techniques for training in surgery include the use of animals, phantoms and cadavers. The main limitation of these approaches is that live tissue has different properties from dead tissue and that animal anatomy is significantly different from the human. From the medical point of view, Low-Grade Gliomas (LGGs) are intrinsic brain tumours that typically occur in younger adults. The objective of related treatment is to remove as much of the tumour as possible while minimizing damage to the healthy brain. ... mehr

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Volltext §
DOI: 10.5445/IR/1000017521
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Prozessrechentechnik, Automation und Robotik (IPR)
Publikationstyp Hochschulschrift
Publikationsjahr 2009
Sprache Englisch
Identifikator urn:nbn:de:swb:90-175210
KITopen-ID: 1000017521
Verlag Universität Karlsruhe (TH)
Art der Arbeit Dissertation
Fakultät Fakultät für Informatik (INFORMATIK)
Institut Institut für Prozessrechentechnik, Automation und Robotik (IPR)
Prüfungsdaten 23.10.2009
Referent/Betreuer Prof. H. Wörn
Schlagwörter training system, augmented reality, virtual reality, neurosurgery
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