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.
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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. http://dx.doi.org/10.1038/sj.dmfr.4600626
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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. http://dx.doi.org/10.1259/dmfr/71716997
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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. http://dx.doi.org/10.1259/dmfr/21571843
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