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Original Article

3D Norm Data: The First Step towards Semiautomatic Virtual Craniofacial Surgery

J. Brief Department of Oral and Maxillofacial Surgery, University of Heidelberg, Heidelberg, GermanyCorrespondence[email protected]

S. Hassfeld Department of Oral and Maxillofacial Surgery, University of Heidelberg, Heidelberg, Germany

S. Däuber Institute of Real-Time Computer Systems and Robotics, University of Karlsruhe, Karlsruhe, Germany

A. Pernozzoli Department of Oral and Maxillofacial Surgery, University of Heidelberg, Heidelberg, Germany

J. Münchenberg Institute of Real-Time Computer Systems and Robotics, University of Karlsruhe, Karlsruhe, Germany

T. Redlich Department of Oral and Maxillofacial Surgery, University of Heidelberg, Heidelberg, Germany

M. Walz Department of Radiology, University of Heidelberg, Mannheim, Germany

R. Krempien Department of Radiology, University of Heidelberg, Heidelberg, Germany

H. Weisser Department of Radiology, University of Heidelberg, Mannheim, Germany

C. Poeckler Department of Radiology, University of Heidelberg, Mannheim, Germany

J. Raczkowsky Institute of Real-Time Computer Systems and Robotics, University of Karlsruhe, Karlsruhe, Germany

O. Burgert Institute of Real-Time Computer Systems and Robotics, University of Karlsruhe, Karlsruhe, Germany

T. Salb Department of Oral and Maxillofacial Surgery, University of Heidelberg, Heidelberg, Germany

B. Kotrikova Department of Oral and Maxillofacial Surgery, University of Heidelberg, Heidelberg, Germany

U. Rembold Institute of Real-Time Computer Systems and Robotics, University of Karlsruhe, Karlsruhe, Germany

H. Wörn Institute of Real-Time Computer Systems and Robotics, University of Karlsruhe, Karlsruhe, Germany

R. Dillmann Institute of Real-Time Computer Systems and Robotics, University of Karlsruhe, Karlsruhe, Germany

J. Mühling Department of Oral and Maxillofacial Surgery, University of Heidelberg, Heidelberg, Germany

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Abstract

When planning craniofacial surgical interventions, the ideal appearance of the patient is very important. The final appearance should be as close as possible to that which the patient would haˇve if he/she were without defects. our first step towards achieving this is to build a database containing sets of three-dimensional CT images that allows for comparison of the shape of a patient with defects to the typical shape of an age- and sex-matched “average” person without defects. We started to collect CT data from patients without pathologies and, in co-operation with two radiology institutes (in Mannheim and Heidelberg), over 100 CT data sets have now been collected and classified according to age and sex. It is necessary to choose an appropriate statistical method to calculate the norm data from the different data sets. Based on the statistical method, an age- and sex-matched “average” model of the anatomy will be created.

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3D Norm Data: The First Step towards Semiautomatic Virtual Craniofacial Surgery

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3D Norm Data: The First Step towards Semiautomatic Virtual Craniofacial Surgery

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