• Journal of Computing Science and Engineering
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• 제4권4호
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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.

• 복식
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• 제56권6호
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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.

• 한국측량학회지
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• 제35권6호
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• pp.485-494
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• 2017

본 연구는 단순 전처리 방법과 수정된 지역적 피쳐 추출기법을 이용하여 특성이 다른 적외선영상 자동 기하보정에 초점을 맞추고 있다. 입력영상은 히스토그램 평활화를 통해 중앙값과 절댓값을 이용하여 전처리를 수행하였으며, 추출 피쳐의 유사도를 거리가 아닌 각 개념으로 변경하여 적용함으로써, 영상간 밝기값 차이를 줄이는데 효과적으로 적용할 수 있도록 하였다. 기하보정 결과는 시각적인 방법과 Inverse RMSE 방식을 사용하여 평가하였으며, 영상의 특성 차이로 인해 기존의 지역적 피쳐 추출기법 적용으로 해결될 수 없었던 자동 기하보정이 본 알고리즘을 적용함으로써 높은 정합 신뢰도와 적용 편의성을 보임을 확인할 수 있었다. 이를 통해, 제안 방법이 특정 조건의 다중 센서 영상간 자동 기하보정 기법 중 하나로 사용될 수 있을 것으로 기대한다.

• 로봇학회논문지
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• 제17권1호
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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.

• 한국항만경제학회지
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• 제21권3호
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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.

• 한국멀티미디어학회논문지
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• 제16권6호
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• pp.700-707
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• 2013

본 논문에서는 시간차 흉부 CT 영상의 폐 실질 비강체 정합을 위하여 영역 이진화 모델링과 지역적 변형 모델을 이용한 정합 기법을 제안한다. 제안 기법은 먼저 폐 혈관과 실질을 분할하고, 영역 이진화 모델링을 수행하여 두 영상 사이의 밝기값의 차이에 따른 정합 오차를 최소화 한다. 다음으로 초기 정합 기법으로 두 폐 표면을 전역적으로 정렬하고, 지역적 변형 변환 모델을 제안하여 비강체 정합을 수행한다. 또한, 정합 후 감산된 시간에 따른 밝기값 차이가 미리 정의된 칼라 맵을 이용하여 가시화 된다. 실험 결과는 제안기법이 10명의 환자에 대하여 최대호흡과 최소호흡 CT 영상에서 폐 실질을 정확하게 정합하였음을 보여주었다. 제안된 비강체 정합 기법은 폐 실질에 대한 정량적 분석 결과의 직관적인 칼라 매핑을 통하여 다양한 폐 질환의 정량적 분석에 유용하게 사용될 수 있다.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2006년도 추계 종합학술대회 논문집
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• pp.584-588
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• 2006

최근 컨퍼런스는 지속적으로 늘어가고 이에 따른 홍보 및 관리비용도 증가하고 있다. 따라서 소규모 학회에서 컨퍼런스 등록이나 홍보 등의 서비스를 제공하기 위한 비용과 관리적인 부담이 크다. 따라서 본 논문에서는 소규모 학술대회 및 컨퍼런스에서 홍보 및 등록 비용을 최소화하기 위해 인터넷 상에서 컨퍼런스에 등록하고 홍보하는 웹 기반의 도구를 설계하고 구현한다. 즉, 다양한 학회 정보를 수용할 수 있도록 데이터베이스를 구축하고 운영관리자가 쉽게 컨퍼런스 정보를 관리할 수 있는 툴과 자동 생성되는 홈페이지를 설계 및 구현한다. 이러한 도구는 컨퍼런스를 개최하고자 하는 학회에서 컨퍼런스 등록 및 홍보 서비스 시스템에 컨퍼런스에 대한 기본적인 정보를 입력하면 그에 해당하는 웹사이트가 생성되고 논문 투고 및 사전 등록, 홍보 메일 발송 서비스를 제공한다.

• 대한의용생체공학회:의공학회지
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• 제44권5호
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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.

• 대한의용생체공학회:의공학회지
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• 제32권3호
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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.

• 한국임상약학회지
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• 제25권4호
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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.