نتایج جستجو برای: Tooth Segmentation
تعداد نتایج: 155381 فیلتر نتایج به سال:
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...
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 ...
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...
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...
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...
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...
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...
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...
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...
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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