Dr. Nikolaos Gkantidis is full-time Assistant Professor in the Department Orthodontics and Dentofacial Orthopedics at the University of Bern, Switzerland. Dr. Gkantidis graduated from the Aristotle University of Thessaloniki in 2006 and completed his specialty training in Orthodontics at National and Kapodistrian University of Athens, Greece. He obtained his Doctorate degree from the University of Bern in 2013. Since then he acts as a coordinator of the Erasmus Based Postgraduate Education in the Department of Orthodontics and Dentofacial Orthopedics at the University of Bern.
Dr. Gkantidis has published several research papers in international peer-reviewed journals and acts as a reviewer for more than 15 scientific journals. His main research interests include facial aesthetics, geometric morphometrics, and 3D imaging. In 2016 Dr. Gkantidis received the WJB Houston Memorial Research Scholarship (60.000£) from the European Orthodontic Society, for supporting one of his current international research projects (University of Athens, University of Groningen, and University of Bern) entitled “Investigation of 3-Dimensional Superimposition Techniques on Skeletal Structures of the Head. Effect of Scan Type, Image Acquisition and Segmentation Parameters.”
INVITED LECTURE: From 2D to 3D superimposition of craniofacial structures: current knowledge and future perspectives
Both clinicians and researchers in the fields of craniofacial development and orthopedics have always been interested in quantifying the effect of treatment on craniofacial morphology. Historically, superimpositions of cephalometric radiographs have been used to differentiate between growth and treatment effects. However, apart from various other limitations, the assessment of size and shape changes using conventional 2D (dimensions) datasets also raises the important issue of reducing a 3D object to a 2D image. The inherent information in this simplified image can be further confounded due to the reference structures used to consistently superimpose and compare serial radiographs.
In recent years, 3D imaging techniques have been widely used in various dental and medical disciplines. This can help identify treatment goals, choose treatment modalities, predict treatment result, and evaluate treatment and/or growth changes. Various techniques have been reported for superimposition of 3D datasets derived from facial photographs, computed tomography (CT or CBCT) images, or intraoral scans. Each dataset has specific characteristics, which combined with certain patient sample characteristics, may require simpler or complex approaches to provide valid superimposition results. In this presentation the various available superimposition techniques and reference areas for each dataset and sample type will be presented and specific valid and efficient approaches, both for research and clinical purposes, will be suggested.