Registration of Two Dental Panoramic Radiographs


In dental panoramic images, the information on physical changes of alveolar bone or jaw bone is very important to diagnose several diseases. To detect such change, it is useful to compare two panoramic x-ray images acquired at different times. These two images are usually acquired with different conditions in terms of the positioning of the dental arch, and thus these images can be impaired from some geometrical changes related to the scale of the panoramic images and deformation of the teeth and jaw bones. As a result of this, it is very hard to make an accurate registration. To cope with this issue, we developed a dedicated image registration method to match these two images by a newly introduced non-rigid transformation method and registration method using the cross-correlation of localized regions. We evaluated our proposed method with several sets of two images acquired with different geometrical conditions. The material evaluated in this study was a skull phantom. The results of these experiments showed the validity and intrinsic ability of our proposed method in clinical examinations.

Share and Cite:

Ogawa, K. , Yamamoto, J. , Yanase, M. and Katsumata, A. (2014) Registration of Two Dental Panoramic Radiographs. Open Journal of Medical Imaging, 4, 4-13. doi: 10.4236/ojmi.2014.41002.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] Langland, O.E., Langlais, R.P., McDavid, M.D. and DelBalso, A.M. (1989) Panoramic Radiology. 2nd Edition, Lea & Febiger, Philadelphia.
[2] Grant, D.G. (1972) Tomosynthesis: A Three-Dimensional Radiographic Imaging Technique. IEEE Transaction on Biomedical Engineering, 19, 20-28.
[3] Ogawa, K., Langlais, R.P., McDavid, M.D., Noujeim, M., Seki, K., Okano, T., et al. (2010) Development of a New Dental Panoramic Radiographic System Based on a Tomosynthesis Method. Dentomaxillofacial Radiology, 39, 47-53.
[4] Noujeim, M., Prihoda, T., McDavid, W.D., Ogawa, K., Seki, K., Okano, T., et al. (2011) Pre-Clinical Evaluation of a New Dental Panoramic Radiographic System Based on Tomosynthesis Method. Dentomaxillofacial Radiology, 40, 42-46.
[5] Katsumata, A., Ogawa, K., Inukai, K., Matsuoka, M., Nagano, T., Nagaoka, H., et al. (2011) Initial Evaluation of Linear and Spatially Oriented Planar Images from a New Dental Panoramic System Based on Tomosynthesis. Oral Surgery Oral Medicine Oral Pathology, 112, 375-382.
[6] Lehmann, T.M., Groendahl, H.-G. and Benn, D.K. (2000) Computer-Based Registration for Digital Subtraction in Dental Radiology. Dentomaxillofacial Radiology, 29, 323-346.
[7] Yoon, D.C. (2000) A New Method for the Automated Alignment of Dental Radiographs for Digital Subtraction Radiography. Dentomaxillofacial Radiology, 29, 11-19.
[8] Holmes, J.P., Gulabivala, K. and van der Stelt, P.F. (2001) Detection of Simulated Internal Tooth Resorption Using Conventional Radiography and Subtraction Imaging. Dentomaxillofacial Radiology, 30, 249-254.
[9] Dornier, C., Dorsaz-Brossa, L., Thévenaz, P., Casagni, F., Brochut, P., Mombelli, A. and Vallée, J.P. (2004) Geometric Alignment and Chromatic Calibration of Serial Radiographic Images. Dentomaxillofacial Radiology, 33, 220-225.
[10] Zacharaki, E.I., Matsopoulos, G.K., Asvestas, P.A., Nikita, K.S., Groendahl, K. and Groendahl, H.-G. (2004) A Digital Subtraction Radiography Scheme Based on Automatic Multiresolution Registration. Dentomaxillofacial Radiology, 33, 379-390.
[11] Gueneri, P., Gogues, S., Tugsel, Z., Ozturk, A., Gungor, C. and Boyacioglu, H. (2006) Clinical Efficacy of a New Software Developed for Dental Digital Subtraction Radiography. Dentomaxillofacial Radiology, 35, 417-421.
[12] Carneiro, L.S., Nunes, C.A., Silva, M.A., Leles, C.R. and Mendonca, E.F. (2009) In Vivo Study of Pixel Grey-Mea-surement in Digital Subtraction Radiography for Monitoring Caries Remineralization. Dentomaxillofacial Radiology, 38, 73-78.
[13] Mekky, N.E., Abou-Chadi, F.E.-Z. and Kishk, S. (2011) A New Hybrid Registration Technique for Dental Panoramic X-Ray Images. Proceedings of IEEE Medical Imaging Conference, 140-145.

Copyright © 2022 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.