DigitalFraunhofer AWZ CTMTMaschinenbau und Mechatronik
A. Detterbeck, M. Hofmeister, D. Haddad, D. Weber, M. Schmid, A. Hölzing, S. Zabler, E. Hofmann, K.-H. Hiller, P. Jakob, J. Engel, Jochen Hiller, U. Hirschenfelder
Determination of the mesio-distal tooth width via 3D imaging techniques with and without ionizing radiation: CBCT, MSCT, and μCT versus MRI
European Journal of Orthodontics, vol. 39, no. 3, pp. 310-319
The purpose of this study was to estimate the feasibility and accuracy of mesio-distal width measurements with magnetic resonance imaging (MRI) in comparison to conventional 3D imaging techniques [multi-slice CT (MSCT), cone-beam CT (CBCT), and µCT]. The measured values of the tooth widths were compared to each other to estimate the amount of radiation necessary to enable orthodontic diagnostics.
Material and Methods:
Two pig skulls were measured with MSCT, CBCT, µCT, and MRI. Three different judges were asked to determine the mesio-distal tooth width of 14 teeth in 2D tomographic images and in 3D segmented images via a virtual ruler in every imaging dataset.
Approximately 19% (27/140) of all test points in 2D tomographic slice images and 12% (17/140) of the test points in 3D segmented images showed a significant difference (P ≤ 0.05). The largest significant difference was 1.6mm (P < 0.001). There were fewer significant differences in the measurement of the tooth germs than in erupted teeth.
Measurement of tooth width by MRI seems to be clinically equivalent to the conventional techniques (CBCT and MSCT). Tooth germs are better illustrated than erupted teeth on MRI. Three-dimensional segmented images offer only a slight advantage over 2D tomographic slice images. MRI, which avoids radiation, is particularly appealing in adolescents if these data can be corroborated in further studies.
Elektrotechnik und Medientechnik
Beitrag (Sammelband oder Tagungsband)
J. Benze, Andreas Berl, K. Daniel, G. Eibl, D. Engel, Andreas Fischer, U. Hofmann, A. Kießling, S. Köpsell, L. Langer, H. Meer, C. Neureiter, M. Niedermeier, T. Pfeiffenberger, M. Pietsch, A. Veichtlbauer
VDE-Positionspapier Energieinformationsnetze und -systeme (Smart Grid Security)
VDE-Kongress 2014 Smart Cities (Intelligente Lösungen für das Leben in der Zukunft, Kongressbeiträge 20./21.10.2014, Frankfurt/Main, Messe), Berlin
Beitrag (Sammelband oder Tagungsband)
G. Atay, J. Wegner, P. Lohmann, Peter Hofmann, U. Sörgel
Comparison of pixel based and feature based fusion of high resolution optical and SAR imagery
Remote sensing for a changing Europe (Proceedings of the 28th EARSeL Symposium of the Association of Remote Sensing Laboratories [Istanbul, Turkey; 2-5 June 2008]), Turkey
U. Benz, Peter Hofmann, G. Willhauck, I. Lingenfelder, M. Heynen
Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information
ISPRS Journal of Photogrammetry & Remote Sensing, vol. 58, no. 3-4, pp. 239-258
Remote sensing from airborne and spaceborne platforms provides valuable data for mapping, environmental monitoring, disaster management and civil and military intelligence. However, to explore the full value of these data, the appropriate information has to be extracted and presented in standard format to import it into geo-information systems and thus allow efficient decision processes. The object-oriented approach can contribute to powerful automatic and semi-automatic analysis for most remote sensing applications. Synergetic use to pixel-based or statistical signal processing methods explores the rich information contents. Here, we explain principal strategies of object-oriented analysis, discuss how the combination with fuzzy methods allows implementing expert knowledge and describe a representative example for the proposed workflow from remote sensing imagery to GIS. The strategies are demonstrated using the first object-oriented image analysis software on the market, eCognition, which provides an appropriate link between remote sensing imagery and GIS.