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Fast and Accurate Semiautomatic Segmentation of Individual Teeth from Dental CT Images
Joint Authors
Lee, Jeongjin
Shin, Juneseuk
Kang, Ho Chul
Choi, Chankyu
Shin, Yeong-Gil
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-27
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
DIn this paper, we propose a fast and accurate semiautomatic method to effectively distinguish individual teeth from the sockets of teeth in dental CT images.
Parameter values of thresholding and shapes of the teeth are propagated to the neighboring slice, based on the separated teeth from reference images.
After the propagation of threshold values and shapes of the teeth, the histogram of the current slice was analyzed.
The individual teeth are automatically separated and segmented by using seeded region growing.
Then, the newly generated separation information is iteratively propagated to the neighboring slice.
Our method was validated by ten sets of dental CT scans, and the results were compared with the manually segmented result and conventional methods.
The average error of absolute value of volume measurement was 2.29 ± 0.56 % , which was more accurate than conventional methods.
Boosting up the speed with the multicore processors was shown to be 2.4 times faster than a single core processor.
The proposed method identified the individual teeth accurately, demonstrating that it can give dentists substantial assistance during dental surgery.
American Psychological Association (APA)
Kang, Ho Chul& Choi, Chankyu& Shin, Juneseuk& Lee, Jeongjin& Shin, Yeong-Gil. 2015. Fast and Accurate Semiautomatic Segmentation of Individual Teeth from Dental CT Images. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1058004
Modern Language Association (MLA)
Kang, Ho Chul…[et al.]. Fast and Accurate Semiautomatic Segmentation of Individual Teeth from Dental CT Images. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1058004
American Medical Association (AMA)
Kang, Ho Chul& Choi, Chankyu& Shin, Juneseuk& Lee, Jeongjin& Shin, Yeong-Gil. Fast and Accurate Semiautomatic Segmentation of Individual Teeth from Dental CT Images. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1058004
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1058004