NDLI: A new method for the integration of digital dental models and cone-beam computed tomography images

Content Provider	IEEE Xplore Digital Library
Author	Hsiu-Hsia Lin Wen-Chung Chiang Lun-Jou Lo Chien-Hsuan Wang
Copyright Year	2013
Description	Author affiliation: Dept. of Inf. Networking Technol., Hsiuping Univ. of Sci. & Technol., Taiwan (Wen-Chung Chiang) \|\| Craniofacial Res. Center, Chang Gung Memorial Hosp., Taoyuan, Taiwan (Hsiu-Hsia Lin; Chien-Hsuan Wang) \|\| Dept. of Dentistry, Chang Gung Memorial Hosp., Taoyuan, Taiwan (Lun-Jou Lo)
Abstract	This study introduces a regional-surface-based registration without markers for integration of laser-scanned dental images into maxillofacial cone-beam computed tomography (CBCT) images. The method just needs to manually select three similar areas without artifact on the digital dental image and CBCT image, and then the process is automatically complete the fusion (superimposition) of maxillofacial model and the digital dental model. Then the differences such as mean error and root-mean-square (RMS) error are automatically computed between the 2 images according to the selected surfaces and expressed in a color scale. Experimental results show that the mean errors between the 2 models at the integrated model range from 0.15 mm to 0.45 mm and the RMS errors range 0.18 mm to 0.49 mm. The numbers are similar to the results of previous methods and reach a desirable error. Moreover, it is robust feasibility for especially serious artifacts CBT images. It is worth mentioning that all measurements of intra-operator reproducibility and inter-operator reliability are excellent.
Starting Page	2328
Ending Page	2331
File Size	1351733
Page Count	4
File Format	PDF
ISBN	9781457702167
ISSN	1557170X
DOI	10.1109/EMBC.2013.6610004
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Dentistry Computational modeling Teeth Accuracy Solid modeling Three-dimensional displays Surgery
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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