نتایج جستجو برای: Tooth Segmentation

تعداد نتایج: 155381  

Ali Abbaspour Tehrani-Fard Gholamreza Shirani Mohammad Hosntalab, Reza Aghaeizadeh Zoroofi

Introduction: Various computer assisted medical procedures such as dental implant, orthodontic planning, face, jaw and cosmetic surgeries require automatic quantification and volumetric visualization of teeth. In this regard, segmentation is a major step. Material and Methods: In this paper, inspired by our previous experiences and considering the anatomical knowledge of teeth and jaws, we prop...

Journal: :journal of medical signals and sensors 0
parinaz mortaheb mehdi rezaeian

segmentation and three‑dimensional (3d) visualization of teeth in dental computerized tomography (ct) images are of dentists’ requirements for both abnormalities diagnosis and the treatments such as dental implant and orthodontic planning. on the other hand, dental ct image segmentation is a difficult process because of the specific characteristics of the tooth’s structure. this paper presents ...

Journal: :iranian journal of medical physics 0
mohammad hosntalab ph.d., student, faculty of engineering, science and research branch, islamic azad university (iau), tehran, iran reza aghaeizadeh zoroofi associate professor, control and intelligent processing center of excellence, school of electrical and computer engineering, college of engineering, university of tehran, tehran, iran ali abbaspour tehrani-fard assistant professor, faculty of engineering, science and research branch, islamic azad university (iau), tehran, iran gholamreza shirani assistant professor, oral & maxillofacial surgery department, faculty of dentistry medical science of tehran university, tehran, iran

introduction: various computer assisted medical procedures such as dental implant, orthodontic planning, face, jaw and cosmetic surgeries require automatic quantification and volumetric visualization of teeth. in this regard, segmentation is a major step. material and methods: in this paper, inspired by our previous experiences and considering the anatomical knowledge of teeth and jaws, we prop...

2016
Zhongyi Li Hao Wang

Tooth segmentation on dental model is an essential step of computer-aided-design systems for orthodontic virtual treatment planning. However, fast and accurate identifying cutting boundary to separate teeth from dental model still remains a challenge, due to various geometrical shapes of teeth, complex tooth arrangements, different dental model qualities, and varying degrees of crowding problem...

Journal: :Bio-medical materials and engineering 2014
Sung Dae Na Gihyoun Lee Jyung Hyun Lee Myoung Nam Kim

In this paper, a new method for individual tooth segmentation was proposed. The proposed method is composed of enhancement and extraction of boundary and seed of watershed algorithm using trisection areas by morphological characteristic of teeth. The watershed algorithm is one of the conventional methods for tooth segmentation; however, the method has some problems. First, molar region detectio...

Journal: :Computers & Graphics 2014
Kan Wu Li Chen Jing Li Yanheng Zhou

Tooth segmentation has an important role in computer-aided orthodontics. However, fine segmentation results remain difficult to obtain because of various tooth shapes, complex tooth arrangements, and especially, tooth-crowding problems. Most published approaches or commercial solutions in this area are either interaction-intensive or inaccurate, and thus, we propose a novel tooth segmentation a...

2014
Vikas Upadhyay P. K. Jain N. K. Mehta

In machining of Ti-6Al-4V alloy, the formation of saw tooth chips takes place at relatively low cutting speeds in comparison to other materials such as hardened steels. Study of chip morphology is important to understand the cutting force variation, surface integrity and chip breakability of the alloy. In this work, an attempt has been made to study the effect of cutting speed, feed rate and de...

Journal: :Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention 2012
Nguyen The Duy Hans Lamecker Dagmar Kainmüller Stefan Zachow

We propose a fully automatic method for tooth detection and classification in CT or cone-beam CT image data. First we compute an accurate segmentation of the maxilla bone. Based on this segmentation, our method computes a complete and optimal separation of the row of teeth into 16 subregions and classifies the resulting regions as existing or missing teeth. This serves as a prerequisite for fur...

2010
L. T. Hiew Kelvin W.C. Foong

Cone beam computed tomography (CBCT) can provide dentists with accurate 3D diagnostic images of the maxillofacial region at a lower irradiation dose compare to conventional medical CT. Due to low image contrast, higher image noise and missing image boundaries, tooth segmentation in CBCT is difficult even with experienced radiographic interpreters. In this paper, we proposed a graph cuts segment...

2007
Xiaoling Wu Hui Gao Hoon Heo Oksam Chae Jinsung Cho Sungyoung Lee Young-Koo Lee

In the dental field, 3D tooth modeling, in which each tooth can be manipulated individually, is an essential component of the simulation of orthodontic surgery and treatment. However, in dental computerized tomography slices teeth are located closely together or inside alveolar bone having an intensity similar to that of teeth. This makes it difficult to individually segment a tooth before buil...

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