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گواهی نمایه سازی مقاله Individual Teeth Segmentation in CBCT and MSCT Dental Images Using Watershed

عنوان مقاله: Individual Teeth Segmentation in CBCT and MSCT Dental Images Using Watershed
شناسه (COI) مقاله: ICBME20_017
منتشر شده در بیستمین کنفرانس مهندسی زیست پزشکی ایران در سال ۱۳۹۲
مشخصات نویسندگان مقاله:

Mahsa Sepehrian - School of Electrical and Computer Engineering, College of Engineering, University of Tehran Tehran, Iran
Ali M. Deylami - School of Electrical and Computer Engineering, College of Engineering, Tarbiat Modares University Tehran, Iran
Reza A. Zoroofi - School of Electrical and Computer Engineering, College of Engineering, University of Tehran Tehran, Iran

خلاصه مقاله:
Teeth segmentation is an important step in human identification and Content Based Image Retrieval (CBIR) systems. This paper proposes a new approach for teethsegmentation using morphological operations and watershed algorithm. In Cone Beam Computer Tomography (CBCT) and Multi Slice Computer Tomography (MSCT) each tooth is an elliptic shape region that cannot be separated only by considering their pixels’ intensity values. For segmenting a tooth from theimage, some enhancement is necessary. We use morphological operators such as image filling and image opening to enhance theimage. In the proposed algorithm, a Maximum Intensity Projection (MIP) mask is used to separate teeth regions fromblack and bony areas. Then each tooth is separated using the watershed algorithm. Anatomical constraints are used to overcome the over segmentation problem in watershed method.The results show a high accuracy for the proposed algorithm in segmenting teeth. Proposed method decreases time consuming by considering only one image of CBCT and MSCT for segmenting teeth instead of using all slices.

کلمات کلیدی:
Dental x-ray segmentation, CBIR, Human Identification, watershed, morphological operation

صفحه اختصاصی مقاله و دریافت فایل کامل: http://www.civilica.com/Paper-ICBME20-ICBME20_017.html