World Academy of Science, Engineering and Technology
Published August 27, 2008 | Version 12537
Journal article Open

Wavelet based Image Registration Technique for Matching Dental x-rays

Description

Image registration plays an important role in the diagnosis of dental pathologies such as dental caries, alveolar bone loss and periapical lesions etc. This paper presents a new wavelet based algorithm for registering noisy and poor contrast dental x-rays. Proposed algorithm has two stages. First stage is a preprocessing stage, removes the noise from the x-ray images. Gaussian filter has been used. Second stage is a geometric transformation stage. Proposed work uses two levels of affine transformation. Wavelet coefficients are correlated instead of gray values. Algorithm has been applied on number of pre and post RCT (Root canal treatment) periapical radiographs. Root Mean Square Error (RMSE) and Correlation coefficients (CC) are used for quantitative evaluation. Proposed technique outperforms conventional Multiresolution strategy based image registration technique and manual registration technique.

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References

  • Barbara Zitova, Jan Flusser, "Image Registration Methods: a survey" Image and Vision computing 2003; 21:977-1000.
  • Anil K Jain, Hong Chen, "Matching of dental x-ray images for human identification" Pattern Recognition 2004; 37:1519-1532.
  • George Lazaridis and Maria Petrou, "Image Registration using Walsh Transform" IEEE Trans. on Image Processing, Vol 15, No.8, Aug 2006.
  • EI Zacharaki, GK Matsopoulos, PA Asvestas, KS Nikita, K Grondahl and H G Grondahl, "A digital subtraction radiography scheme based on automatic multiresolution registration" Dentomaxillofacial radiology 2004; 33:379-390.
  • F Haiter and a Wenzel, "Noise in subtraction images made from pairs of bitewing radiographs; A comparison between two subtraction programs" Dentomaxillofacial Radiology 2005; 34:357-361.
  • A Gegler, CEW Mahl and V Fontanells, "Reproducibility and file format effect on Digital subtraction radiography of simulated external root resorptions" Dentomaxillofacial Radiology 2006; 35:10-13.
  • Pierre Gravel, Gilles Beaudoin and Jacques A De Guise, " A method for modeling noise in medical images", IEEE Trans. on Medical Imaging, Vol. 23, No. 10, October 2004.
  • Deng. G, Cahill, L.W, "An Adaptive Gaussian filter for noise reduction and edge detection", Nuclear Science Symposium and Medical Imaging Conference, Vol. 3, Pages: 1615-1619, 1993.
  • M.McGuire, "An image registration technique for recovering rotation, scale and translation parameters" NEC Tech. Report, Feb 1998. [10] Thenevez P, Unser M, Optimization of mutual information for Multiresolution image registration" IEEE Trans. on Image Processing 2000:9:2083-2099. [11] Yoon D.C, "A new method for the automated alignment of dental radiographs for digital subtraction radiography" Dentomaxillofacial radiology 2000; 29: 11-19.