• Imaging Science in Dentistry
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• v.47 no.2
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• pp.69-74
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• 2017

Purpose: The nasopalatine canal is a well-known, important anatomical structure in the anterior maxilla, but this region contains many accessory canals. The canalis sinuosus (CS) is one of these canals; it contains the anterior superior alveolar nerve, along with veins and arteries. The purpose of this study was to evaluate the CS using cone-beam computed tomography (CBCT) in patients with maxillary impacted canines. Materials and Methods: A total of 111 patients admitted to the Istanbul Medipol University School of Dentistry for the exposure, orthodontic treatment, and/or extraction of an impacted canine were included in this study. CBCT images were obtained for these patients under standard conditions. Axial, coronal, and sagittal sections were evaluated to assess the prevalence of CS, the direction and diameter of the canal, its relation with the impacted canine, and its distance from the alveolar crest. Further, possible correlations with patient gender and age were analyzed. Results: The CS could be detected bilaterally in all the evaluated tomography images. The mean canal diameter was significantly larger in males than in females(P=.001). The CS ran significantly closer to the impacted canine when the canal was located horizontally (P=.03). Variations of the canal, such as accessory canals, were identified in 6 patients. Conclusion: CS is an anatomical entity that may resemble periapical lesions and other anatomical structures. Evaluation with CBCT prior to surgical procedures in the anterior maxilla will help to prevent overlooking such anatomical structures and to decrease possible surgical complications.

• Archives of Craniofacial Surgery
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• v.18 no.2
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• pp.141-144
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• 2017

An odontogenic cutaneous fistula is a pathological communication between the outer skin surface of the face and the oral cavity. Facial cutaneous fistula is a complication of odontogenic infection that is often misdiagnosed with skin infection. We report a rare case, which was diagnosed as basal cell carcinoma based on the biopsy of skin lesions in the patient who had been diagnosed with odontogenic cutaneous fistula. A 64-year-old male patient presented with a cutaneous odontogenic fistula. The patient had undergone surgical extraction of fistula tract and loose tooth before dermatology or plastic surgery consultation. With the biopsy and computed tomography, it was confirmed that fistula and basal cell carcinoma. However, the connection between the fistula and skin cancer was not clear. Positron emission tomography-computed tomography scan was performed and was not detected as other local or distant metastasis. After that, wide excision of the skin lesion was performed. Although skin cancer is not commonly observed, it is necessary to rule out this disease entity by performing biopsy of skin lesions.

• Maxillofacial Plastic and Reconstructive Surgery
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• v.14 no.3
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• pp.185-193
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• 1992

The calcifying odontogenic cyst was identified as a pathological entity by Gorlin & his associates in 1962. This lesion is one of the rarest and most disputable cysts in the oral region. The calcifying odontogenic cyst has variable clinical and radiological features. We review the previous literatures and report 2 cases of calcifying odontogenic cyst at Department of Oral and Maxillofacial Surgery, Kyung-Hee University. The 1st case was as follows. The patient vas 22 year old female. The past dental history revealed extraction of prolonged retained #73 tooth about 15days ago. She complained a painful swelling on the lower anterior teeth area. There were chin and vestibular swelling on the lower anterior teeth area, tenderness and missing of #33 tooth. The radiograph revealed well-demarcated unilocular radiolucency containing radiopaque calcific flecks around impacted #33 tooth. The clinical diagnosis was COC, so surgical enucleation was done. There was no recurrence and COC was confirmed by pathologist. The second case was as follows. The patient was 72 year old male. The past history revealed inactive tuberculosis, bronchial asthma and denture construction. The chief complaint was rapidly growing mass on the lower left anterior edentulous area. The clinical findings were chin swelling protruding mass with surface ulceration, fluctuation and a few bloody fluid in aspiration. The radiograph revealed well-demarcated radiolucency mimiking the residual cyst. The biopsy result was COC. The surgical excision was done, but the lesion was recurred 10 months later. The treatment was surgical excision with aggressive peripheral bone grinding and FTSG form groin area. There was no problem during the postoperative period.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.33 no.2
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• pp.73-81
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• 2015

The objective of this study is in investigating the research for more accurately quantify the information on mountain forest by using the data on high density LiDAR. For the quantitative analysis of mountain forest resources, we investigated the method to acquire the data on high density LiDAR and extract mountain forest resources. Consequently, the height and girth of a tree each mountain forest resources could be extracted by using the data on high density LiDAR. When using the data on low density LiDAR of 2.5points/m² in average used to produce digital map, it was difficult to extract the exact height and girth of mountain forest resources. If using the data on high density LiDAR of 7points/m² by considering topography, the property of mountain forest resources, data capacity and process velocity, etc, it was found that multitudinous entities could be extracted. It was found that mountain topography and mixed topography were generally denser than plane topography and multitudinous mountain forest resources could be extracted. Furthermore, it was also found that the entity at the border could not be extracted, when each partition was individually processed and the area should be subdivided and extracted by considering the process time and property of target area rather than processing wide area at once. We expect to be studied more profoundly the absorption quantity of greenhouse gas later by using information on mountain forest resources in the future.

• Korean Journal of Remote Sensing
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• v.22 no.4
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• pp.265-274
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• 2006

Extracting ground points is the kernel of DTM generation being considered as one of the most popular LIDAR applications. The previous extraction approaches can be mostly characterized as a point based approach, which sequentially examines every individual point to determine whether it is measured from ground surfaces. The number of examinations to be performed is then equivalent to the number of points. Particularly in a large set, the heavy computational requirement associated with the examinations is obviously an obstacle to employing more sophisticated criteria for the examination. To reduce the number of entities to be examined and produce more robust results, we developed an approach based on features rather than points, where a feature indicates an entity constructed by grouping some points. In the proposed approach, we first generate a set of features by organizing points into surface patches and grouping the patches into surface clusters. Among these features, we then attempt to identify the ground features with the criteria based on the attributes of the features. The points grouped into these identified features are labeled ground points, being used for DTM generation afterward. The Proposed approach was applied to many real airborne LIDAR data sets. The analysis on the results strongly supports the prominent performance of the proposed approach in terms of not only the computational requirement but also the quality of the DTM.

• Smart Media Journal
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• v.9 no.4
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• pp.66-72
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• 2020

As the online education market expands, educational contents with various presentation methods are being developed and released. In addition, it is imperative to develop content that reflects the usability and user environment of users who use this educational content. However, for qualitative growth of contents that will support quantitative expansion of markets, existing model analysis methods are urgently needed at a time when development direction of newly developed contents is secured. In this process of content development, a typical model for setting development goals is needed, as the rules of the prototype affect the entire development process and the final development outcome. It can also provide a positive benefit that screens the issue of performance dualization between processes due to the absence of communication between a single entity or between a number of entities. In the case of AR-based educational content which is effective to secure data necessary for development by securing samples of similar categories because there are not enough ready-made samples released. Therefore, a big data statistical analysis service is needed that can easily collect data and make decisions using big data. In this paper, we would like to design analysis services that enable the selection and detection of intuitive multidimensional factors and attributes, and propose big data-based statistical analysis services that can assist cooperative activities within an organization or among many companies.