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Dental Computing and Applications PDF

Dental Computing and Applications PDF Free Download
Dental Computing and Applications PDF
Preface:

Cephalometric analysis has been a routine diagnostic procedure in Orthodontics for more than 60 years, traditionally employing the measurement of angles and distances on lateral cephalometric radiographs. Recently, advances in geometric morphometric (GM) methods and computed tomography (CT) hardware, together with increased power of personal computers, have created a synergic effect that is revolutionizing the cephalometric field. This chapter starts with a brief introduction of GM methods, including Procrustes superimposition, Principal Component Analysis, and semilandmarks. CT technology is discussed next, with a more detailed explanation of how the CT data are manipulated in order to visualize the patient’s anatomy. Direct and indirect volume rendering methods are explained and their application is shown with clinical cases. Finally, the Viewbox software is described, a tool that enables practical application of sophisticated diagnostic and research methods in Orthodontics. This chapter presents a toolchain including image segmentation, rigid registration and a voxel based non-rigid registration as well as 3D visualization, that allows a time series analysis based on DICOM CT images. Time series analysis stands for comparing image data sets from the same person or specimen taken at different times to show the changes. The registration methods used are explained and the methods are validated using a landmark based validation method to estimate the accuracy of the registration algorithms which is an substantial part of registration process. Without quantitative evaluation, no registration method can be accepted for practical utilization. The authors used the toolchain for time series analysis of CT data of patients treated via maxillary distraction. Two analysis examples are given. In dentistry the scope of further application ranges from pre- and postoperative oral surgery images (orthognathic surgery, trauma surgery) to endodontic and orthodontic treatment. Therefore the authors hope that the presented toolchain leads to further development of similar software and their usage in different fields.

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