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Journal of Dental Research
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Synthesizing Dental Radiographs for Human Identification

S. Tohnak1, A.J.H. Mehnert1,*, M. Mahoney2 and S. Crozier1

1 School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane QLD 4072, Australia; and
2 School of Dentistry, The University of Queensland, Brisbane QLD 4072, Australia


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  		Figure 1. Illustration of selected steps in the proposed reconstruction algorithms. First reconstruction algorithm: (a) location of the occlusal plane in the sagittal maximum intensity projections (MIPs) of the interpolated mandible and maxilla CT data; (b) definition of the rectangular mask around the teeth of interest on the axial MIP of the combined CT data; and (c) extension of the mask in (b) to define a rectangular prism needed to reconstruct the desired periapical- or bitewing-like image projection. Second reconstruction algorithm: (d) axial MIP of the combined CT data with the jaw mask superimposed (dashed line); (e) medial axis of the jaw mask superimposed with the midline (dashed line), and the tangent and normal (dotted lines) at one of the points on the medial axis; and (f) distribution of tangent angles along the medial axis, proceeding from left to right, with a polynomial fit superimposed.

 

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  		Figure 2. Radiograph-like images generated by the proposed reconstruction algorithms. (a) Examples of reconstructions of periapical images (top two rows) and bitewing images (bottom row) from the CT data for Person A. (b) Reconstructed OPG-like image from the CT data for Person A. (c) Real OPG for Person A. (d) Reconstructed OPG-like image from the CT data for Person B. (e) Volume rendering of the spiral CT data for Person B.

 

Journal of Dental Research, Vol. 86, No. 11, 1057-1062 (2007)
DOI: 10.1177/154405910708601107
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