Computer-Assisted Oral and Maxillofacial Surgery

Author(s):  
Stefan Hassfeld ◽  
Joachim Mühling ◽  
Marc C. Metzger ◽  
Georg Eggers
Author(s):  
Shintaro Sukegawa ◽  
Takahiro Kanno

AbstractComputer-assisted surgery (CAS) and navigation offers significant improvements in patient orientation and safety in every facet of our specialty of maxillofacial surgery. Ranging from precisely planned orthognathic procedures to the removal of foreign bodies requiring extremely flexible surgical options, and from minimally invasive dental implantology procedures to radical tumor resections of the skull base, they have made their mark for improving the procedure safety, predictability, and accuracy of surgery and options for intraoperative adaptations. In the future, the application of CAS is expected to further reduce operative risks and surgery time, accompanied by a considerable decrease in patient stress.Navigation systems are effective for delicate and accurate oral and maxillofacial surgery, neurosurgery, otolaryngology, and orthopedic surgery.This section presents an overview of available navigation systems and their applications with a focus on clinical utility and the solutions they offer for problems/challenges in the field of oral and maxillofacial surgery.


2005 ◽  
Vol 13 (1) ◽  
pp. 41-49 ◽  
Author(s):  
Arnulf Baumann ◽  
Kurt Schicho ◽  
Clemens Klug ◽  
Arne Wagner ◽  
Rolf Ewers

2010 ◽  
Vol 51 (1) ◽  
pp. 35-39 ◽  
Author(s):  
Homare Kawachi ◽  
Yasuyuki Kawachi ◽  
Chihaya Ikeda ◽  
Ryo Takagi ◽  
Akira Katakura ◽  
...  

Author(s):  
Niclas Hagen ◽  
Reinald Kühle ◽  
Frederic Weichel ◽  
Urs Eisenmann ◽  
Petra Knaup-Gregori ◽  
...  

The integration of surgical knowledge into virtual planning systems plays a key role in computer-assisted surgery. The knowledge is often implicitly contained in the implemented algorithms. However, a strict separation would be desirable for reasons of maintainability, reusability and readability. Along with the Department of Oral and Maxillofacial Surgery at Heidelberg University Hospital, we are working on the development of a virtual planning system for mandibular reconstruction. In this work we describe a process for the structured acquisition and representation of surgical knowledge for mandibular reconstruction. Based on the acquired knowledge, an RDF(S) ontology was created. The ontology is connected to the virtual planning system via a SPARQL interface. The described process of knowledge acquisition can be transferred to other surgical use cases. Furthermore, the developed ontology is characterised by a reusable and easily expandable data model.


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