Author, Institution: Mykolas Akulauskas, Kaunas University of Technology
Science area, field of science: Technological Sciences, Measurement Engineering, T010
Research Supervisor: Assoc. Prof. Dr. Darius Jegelevičius (Kaunas University of Technology, Electrical and Electronics Engineering, T001)
Research Consultant: Prof. Dr. Vygandas Rutkūnas (Vilnius University, Medical and Health Sciences, Odontology, M002)
Dissertation Defence Board of Measurement Engineering Science Field:
Chief Researcher Dr. Vytautas Petkus (Kaunas University of Technology, Technological Sciences, Measurement Engineering, T010) – chairperson
Assoc. Prof. Dr. Paulius Kaškonas (Kaunas University of Technology, Technological Sciences, Measurement Engineering, T010)
Prof. Dr. Olga Kurasova (Vilnius University, Technological Sciences, Informatics Engineering, T007)
Prof. Dr. Renaldas Raišutis (Kaunas University of Technology, Technological Sciences, Measurement Engineering, T010)
Prof. Dr. Janos Vag (Semmelweis University, Hungary, Medical and Health Sciences, Odontology, M 002)
Dissertation defence meeting will be at Rectorate Hall of Kaunas University of Technology (K. Donelaičio 73-402, Kaunas)
The doctoral dissertation is available at the library of Kaunas University of Technology (Gedimino 50, Kaunas) and on the internet: M. Akulauskas el. dissertation.pdf
© M. Akulauskas, 2026 “The text of the thesis may not be copied, distributed, published, made public, including by making it publicly available on computer networks (Internet), reproduced in any form or by any means, including, but not limited to, electronic, mechanical or other means. Pursuant to Article 25(1) of the Law on Copyright and Related Rights of the Republic of Lithuania, a person with a disability who has difficulties in reading a document of a thesis published on the Internet, and insofar as this is justified by a particular disability, shall request that the document be made available in an alternative form by e-mail to doktorantura@ktu.lt.”
Annotation: Currently, the surface quality of scans generated by intraoral scanners is typically evaluated using best-fit global alignment techniques, most commonly iterative closest point (ICP) algorithms. However, these methods often encounter difficulties when dealing with the complex morphology of individual dental surfaces, thereby limiting the reliability of accuracy assessments in clinical research. Meanwhile, augmented reality (AR) headsets—particularly Microsoft HoloLens 2—have been successfully implemented in various medical fields, yet their application in dentistry, especially in implantology, remains insufficiently explored, notably in terms of accuracy. Evaluating the performance of the HoloLens 2 in computer-guided dynamic navigation systems is crucial, as even minimal deviations can substantially affect procedural precision and, consequently, treatment outcomes. In this doctoral thesis, a set of guidelines was developed for the comprehensive accuracy assessment of intraoral scanners. The proposed framework encompasses reference object creation, scanning procedures, and reverse engineering techniques to analyze surface deviations and structural discrepancies. This workflow effectively differentiates the scan quality of intraoral and laboratory scanner systems, revealing distinct accuracy levels across various surface types. Additionally, the potential of augmented reality for dynamic navigation systems was examined using a reference-free evaluation approach. While integration proved feasible, accuracy deviations exceeding 1 mm in registration and visual perception restrict its clinical applicability for implant placement procedures, thereby limiting its practical utility.