Related Experiment Video
Updated: Jun 13, 2026

Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images
Published on: February 23, 2024
Alignment of cone beam computed tomography data using intra-oral fiducial markers
Dan Brüllmann1, Martin Seelge, Elmar Schömer
1University Medical Center of Johannes Gutenberg University Mainz, Augustusplatz 2, Mainz, Germany. bruellmd@mail.uni-mainz.de
Abstract:
This article illustrates a new method to align and merge two partially overlapping volumes each of them generated by cone beam computed tomography (CBCT). The aggregate volume covers a larger area of investigation and is determined by localizing one fixed LEGO brick in both of the primal volumes. Based on the LEGO brick an approximate registration of the volumes is determined. Afterwards we improve the transformation by minimizing the difference in overlapping space. In this paper we present a method which automates these two steps and provides an aligned volume.

