• Journal of Computing Science and Engineering
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• v.4 no.4
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• pp.368-387
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• 2010

We propose a novel method for the registration of 3D CT scans to 2D endoscopic images during the image-guided medialization laryngoplasty. This study aims to allow the surgeon to find the precise configuration of the implant and place it into the desired location by employing accurate registration methods of the 3D CT data to intra-operative patient and interactive visualization tools for the registered images. In this study, the proposed registration methods enable the surgeon to compare the outcome of the procedure to the pre-planned shape by matching the vocal folds in the CT rendered images to the endoscopic images. The 3D image fusion provides an interactive and intuitive guidance for surgeon by visualizing a combined and correlated relationship of the multiple imaging modalities. The 3D Magic Lens helps to effectively visualize laryngeal anatomical structures by applying different transparencies and transfer functions to the region of interest. The preliminary results of the study demonstrated that the proposed method can be readily extended for image-guided surgery of real patients.

• Journal of the Korean Society of Costume
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• v.56 no.6 s.105
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• pp.153-167
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• 2006

This study was purposed to analyse the registration of Korean Fashion brands in China and to point out problems by the registration of analogous trademarks to Korean brand names. List of total 137 Korean national brands were used to collect trademarks in Chinese Trademark Office and each trademark was analysed by the nationally and the date of registration. Analogy of registered trademarks were classified by the common traits. In Result, only 61 Korean national brands were registered by Korean fashion firms in China and 37 Korean national brands were registered by Chinese firms or individuals in the same product classification or in the similar fashion product classification. And 22 Korean national brands out of 61 registered by Korean firms were also registered by Chinese firms, which may lead confusion and misidentification to Chinese consumers. Pre-registration by the Chinese firms f9r analogous or identical trademarks of the Korean fashion brand names in analogous product classification should be a serious entry barrier to Chinese market.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.35 no.6
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• pp.485-494
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• 2017

This study focuses on automatic image registration between multiple IR images using simple preprocessing method and modified local feature extraction algorithm. The input images were preprocessed by using the median and absolute value after histogram equalization, and it could be effectively applied to reduce the brightness difference value between images by applying the similarity of extracted features to the concept of angle instead of distance. The results were evaluated using visual and inverse RMSE methods. The features that could not be achieved by the existing local feature extraction technique showed high image matching reliability and application convenience. It is expected that this method can be used as one of the automatic registration methods between multi-sensor images under specific conditions.

• The Journal of Korea Robotics Society
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• v.17 no.1
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• pp.8-15
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• 2022

In this paper, we proposed the method of virtual reality-based surgical navigation to reproduce the pre-planned position and angle of the pedicle screw in spinal fusion surgery. The goal of the proposed method is to quantitatively save the surgical plan by applying a virtual guide coordinate system and reproduce it in the surgical process through virtual reality. In the surgical planning step, the insertion position and angle of the pedicle screw are planned and stored based on the virtual guide coordinate system. To implement the virtual reality-based surgical navigation, a vision tracking system is applied to set the patient coordinate system and paired point-based patient-to-image registration is performed. In the surgical navigation step, the surgical plan is reproduced by quantitatively visualizing the pre-planned insertion position and angle of the pedicle screw using a virtual guide coordinate system. We conducted phantom experiment to verify the error between the surgical plan and the surgical navigation, the experimental result showed that target registration error was average 1.47 ± 0.64 mm when using the proposed method. We believe that our method can be used to accurately reproduce a pre-established surgical plan in spinal fusion surgery.

• Journal of Korea Port Economic Association
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• v.21 no.3
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• pp.1-17
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• 2005

This study suggests the holding of the 2015 Busan Harbour Registration Exposition in order to activate port & logistics industry, motivate Busan regional development and set up the long-term goal of local people. The SWOT analysis shows that the given conditions of Busan is competitive to attract the 2015 Busan Harbour Registration Exposition, which might be further strengthened for the competitiveness of the Port of Busan. The way to maximize the holding possibility of the EXPO, then, should be more emphasized for the successful implementation of the Pre-Expos periodically and successively by developing and planning perfectly logicality, differentiated subject and concept of the EXPO which accepted in the inside and outside of country.

• Journal of Korea Multimedia Society
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• v.16 no.6
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• pp.700-707
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• 2013

In this paper, we propose a non-rigid registration method of lung parenchyma in temporal chest CT scans using region binarization modeling and locally deformable model. To cope with intensity differences between CT scans, we segment the lung vessel and parenchyma in each scan and perform binarization modeling. Then, we match them without referring any intensity information. We globally align two lung surfaces. Then, locally deformable transformation model is developed for the subsequent non-rigid registration. Subtracted quantification results after non-rigid registration are visualized by pre-defined color map. Experimental results showed that proposed registration method correctly aligned lung parenchyma in the full inspiration and expiration CT images for ten patients. Our non-rigid lung registration method may be useful for the assessment of various lung diseases by providing intuitive color-coded information of quantification results about lung parenchyma.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.584-588
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• 2006

Recently, the conference is increase continuously, and the public relations and administration are increasing. Therefore, the many expense of small academic society and official overhead are generated for supporting the service of conference registration and announcement. Accordingly, in this paper, the building tool designs and implements for the registration and public relations of a small-scale conference on Internet. This tool supports an automatic building of a conference homepage and easily operation of the conference. And, the building tool provides the paper submission function, the pre-registration function and the email sending function using the conference homepage on Internet.

• Journal of Biomedical Engineering Research
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• v.44 no.5
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• pp.303-314
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• 2023

This study aimed to assess the practical feasibility of advanced deformable image registration (DIR) algorithms in radiotherapy by employing two distinct datasets. The first dataset included 14 4D lung CT scans and 31 head and neck CT scans. In the 4D lung CT dataset, we employed the DIR algorithm to register organs at risk and tumors based on respiratory phases. The second dataset comprised pre-, mid-, and post-treatment CT images of the head and neck region, along with organ at risk and tumor delineations. These images underwent registration using the DIR algorithm, and Dice similarity coefficients (DSCs) were compared. In the 4D lung CT dataset, registration accuracy was evaluated for the spinal cord, lung, lung nodules, esophagus, and tumors. The average DSCs for the non-learning-based SyN and NiftyReg algorithms were 0.92±0.07 and 0.88±0.09, respectively. Deep learning methods, namely Voxelmorph, Cyclemorph, and Transmorph, achieved average DSCs of 0.90±0.07, 0.91±0.04, and 0.89±0.05, respectively. For the head and neck CT dataset, the average DSCs for SyN and NiftyReg were 0.82±0.04 and 0.79±0.05, respectively, while Voxelmorph, Cyclemorph, and Transmorph showed average DSCs of 0.80±0.08, 0.78±0.11, and 0.78±0.09, respectively. Additionally, the deep learning DIR algorithms demonstrated faster transformation times compared to other models, including commercial and conventional mathematical algorithms (Voxelmorph: 0.36 sec/images, Cyclemorph: 0.3 sec/images, Transmorph: 5.1 sec/images, SyN: 140 sec/images, NiftyReg: 40.2 sec/images). In conclusion, this study highlights the varying clinical applicability of deep learning-based DIR methods in different anatomical regions. While challenges were encountered in head and neck CT registrations, 4D lung CT registrations exhibited favorable results, indicating the potential for clinical implementation. Further research and development in DIR algorithms tailored to specific anatomical regions are warranted to improve the overall clinical utility of these methods.

• Journal of Biomedical Engineering Research
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• v.32 no.3
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• pp.237-244
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• 2011

In this paper, a feature-based registration technique is proposed for pre-contrast and post-contrast lung CT images. It utilizes three dimensional(3-D) features with their descriptors and estimates feature correspondences by nearest neighborhood matching in the feature space. We design a transformation model between the input image pairs using a free form deformation(FFD) which is based on B-splines. Registration is achieved by minimizing an energy function incorporating the smoothness of FFD and the correspondence information through a non-linear gradient conjugate method. To deal with outliers in feature matching, our energy model integrates a robust estimator which discards outliers effectively by iteratively reducing a radius of confidence in the minimization process. Performance evaluation was carried out in terms of accuracy and efficiency using seven pairs of lung CT images of clinical practice. For a quantitative assessment, a radiologist specialized in thorax manually placed landmarks on each CT image pair. In comparative evaluation to a conventional feature-based registration method, our algorithm showed improved performances in both accuracy and efficiency.

• Korean Journal of Clinical Pharmacy
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• v.25 no.4
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• pp.209-215
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• 2015

The aim of the research was to explore post-registration training opportunities for NHS hospital pharmacists which contributes to promote structural reform of the professional development and lifelong learning for Korean hospital pharmacists. In UK, all pharmacists are required to complete at least 9 Continuing Professional Development (CPD) entries per each year to maintain their professional registration. Types of accredited postgraduate qualification (part-time) in Pharmacy Practice available for hospital pharmacists are Postgraduate Certificate (PgCert, year 1), Postgraduate Diploma (PgDip, year 2), Master of Science (MSc year 3), and Professional Doctorate in Pharmacy programme (DPharm, 4-5 years or more). Clinical pharmacy diploma is more likely to become a minimum qualification in order to progress whilst working for the NHS. Pharmacy independent prescribers are allowed to prescribe all medications except cocaine, dipipanone, and diamorphine for the purpose of treating addiction within their competencies. NHS pharmacists are also classified by band point system depending on their practical/clinical knowledge and skills which starting from band 5 (Pre-registration pharmacist) up to band 9. Various learning and development options are also offered including teaching sessions, conferences and local forums.