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Fast and Accurate Semiautomatic Segmentation of Individual Teeth from Dental CT Images
المؤلفون المشاركون
Lee, Jeongjin
Shin, Juneseuk
Kang, Ho Chul
Choi, Chankyu
Shin, Yeong-Gil
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-08-27
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1058004
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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