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   dental segmentation in cone‑beam computed tomography images using watershed and morphology operators  
   
نویسنده kakehbaraei somayeh ,seyedarabi hadi ,taghavi zenouz ali
منبع journal of medical signals and sensors - 2018 - دوره : 8 - شماره : 2 - صفحه:119 -124
چکیده    Teeth segmentation is an important task in computer‑aided procedures and clinical diagnosis. in this paper, we propose an accurate and robust algorithm based on watershed and morphology operators for teeth and pulp segmentation and a new approach for enamel segmentation in cone‑beam computed tomography (cbct) images. proposed method consists of five steps: acquiring appropriate cbct image, image enhancement, teeth segmentation using the marker‑controlled watershed (mcw), enamel segmentation by global threshold, and finally, utilizing the mcw for pulp segmentation. proposed algorithms evaluated on a dataset consisting 69 patient images. experimental results show a high accuracy and specificity for teeth, enamel, and pulp segmentation. mcw algorithm and local threshold are accurate and robust approaches to segment tooth, enamel, and pulp tissues. methods overcome the over‑segmentation phenomenon and artifacts reduction.
کلیدواژه dental cone‑beam computed tomography ,marker‑controlled watershed ,morphology operators ,segmentation
آدرس tabriz university of medical sciences, faculty of advanced medical sciences, department of biomedical engineering, iran, tabriz university of medical sciences, faculty of advanced medical sciences, department of biomedical engineering, iran. university of tabriz, faculty of electrical and computer engineering, iran, tabriz university of medical sciences, faculty of dentistry, department of oral medicine, iran
پست الکترونیکی taghaviz_a@hotmail.com
 
     
   
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