• The Transactions of The Korean Institute of Electrical Engineers
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• v.64 no.12
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• pp.1686-1694
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• 2015

Stator tooth segmentation and back-iron segmentation is key solution to easing the burden of manufacturing process of permanent magnet synchronous motor. The purpose of this paper is the design and characteristic analysis of permanent magnet synchronous motor having the segmented phase modular stators. Using by two-dimensional finite element method, the static/no-load characteristic analysis of the permanent magnet synchronous motor is performed. The analysis has been performed considering the additional air gaps between stator modules. The analysis results were experimentally verified, and the validity of the proposed analysis method and feasibility of the machine was confirmed.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.05a
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• pp.175-176
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• 2006

The aim of the 3D medical imaging is to facilitate the creation of clinically usable image-based algorithm. Clinically usable imaging algorithm for image analysis requires a high degree of interaction to verify and correct results from registration algorithms, such as the Insight Toolkit (ITK) and the Visualization Toolkit (VTK) which are the class libraries. ITK provides segmentation algorithms and VTK has powerful 3D visualization. However, to apply those libraries to the medical images such as Computerized Tomography (CT), the algorithm based on the interactive construction and modification of data objects are necessary. In this paper we showed the 3D registration about mandibular premolar of human teeth acquired by micro-CT scanner. Also, we used the ITK to find the contour of pulp layer of premolar, furthermore, the 3D imaging was visualized with VTK designed to create one kind of view on the data of 3D visualization. Finally, we evaluated that the volume model of pulp layer would be useful for the tooth morphology in dental medicine.

• Progress in Medical Physics
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• v.26 no.1
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• pp.52-58
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• 2015

The automated dental cavity detection program for a new concept intra-oral dental x-ray imaging device, an auxiliary diagnosis system, which is able to assist a dentist to identify dental caries in an early stage and to make an accurate diagnosis, was to be developed. The primary theory of the automatic dental cavity detection program is divided into two algorithms; one is an image segmentation skill to discriminate between a dental cavity and a normal tooth and the other is a computational method to analyze feature of an tooth image and take an advantage of it for detection of dental cavities. In the present study, it is, first, evaluated how accurately the DRLSE (Direct Regularized Level Set Evolution) method extracts demarcation surrounding the dental cavity. In order to evaluate the ability of the developed algorithm to automatically detect dental cavities, 7 tooth phantoms from incisor to molar were fabricated which contained a various form of cavities. Then, dental cavities in the tooth phantom images were analyzed with the developed algorithm. Except for two cavities whose contours were identified partially, the contours of 12 cavities were correctly discriminated by the automated dental caries detection program, which, consequently, proved the practical feasibility of the automatic dental lesion detection algorithm. However, an efficient and enhanced algorithm is required for its application to the actual dental diagnosis since shapes or conditions of the dental caries are different between individuals and complicated. In the future, the automatic dental cavity detection system will be improved adding pattern recognition or machine learning based algorithm which can deal with information of tooth status.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.3
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• pp.1-6
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• 2023

In the realm of dental prosthesis fabrication, obtaining accurate impressions has historically been a challenging and inefficient process, often hindered by hygiene concerns and patient discomfort. Addressing these limitations, Company D recently introduced a cutting-edge solution by harnessing the potential of intraoral scan images to create 3D dental models. However, the complexity of these scan images, encompassing not only teeth and gums but also the palate, tongue, and other structures, posed a new set of challenges. In response, we propose a sophisticated real-time image segmentation algorithm that selectively extracts pertinent data, specifically focusing on teeth and gums, from oral scan images obtained through Company D's oral scanner for 3D model generation. A key challenge we tackled was the detection of the intricate molar regions, common in dental imaging, which we effectively addressed through intelligent data augmentation for enhanced training. By placing significant emphasis on both accuracy and speed, critical factors for real-time intraoral scanning, our proposed algorithm demonstrated exceptional performance, boasting an impressive accuracy rate of 0.91 and an unrivaled FPS of 92.4. Compared to existing algorithms, our solution exhibited superior outcomes when integrated into Company D's oral scanner. This algorithm is scheduled for deployment and commercialization within Company D's intraoral scanner.

• The Journal of Korea Assosiation for Disability and Oral Health
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• v.12 no.1
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• pp.1-5
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• 2016

Robinow syndrome is skeletal dysplasia with both autosomal dominant and recessive inheritance patterns. It is characterized by short-limbed dwarfism, abnormalities in the head and face, as well as vertebral segmentation. A 2-year-7-month old boy with Robinow syndrome had visited Seoul National University Dental Hospital, for the evaluation of tooth palatal eruption on maxilla. He had micrognathia, delayed tooth eruption, cleft lip with bifid uvula. He also had an erupted mesiodens on the palatal side of maxillary primary incisors, which was tuberculated and 8mm in major diameter. The patient was scheduled for mesiodens extraction under general anesthesia. He was a young child with delayed development, so general anesthesia was inevitable. General anesthesia was induced and maintained with inhalation agent, Sevoflurane. There were no postoperative complications related to anesthesia and dental treatment. Robinow syndrome patients have craniofacial dysmorphism and eruption disorders. Therefore, he requires regular check-ups as well as dental managements.