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효율성과 정확도 향상을 위한 MR 영상에서의 뇌 외곽선 추출 기법 개발
안광옥,정현교,An, Kwang-Ok,Jung, Hyun-Kyo 대한의용생체공학회 2007 의공학회지 Vol.28 No.4
In order to study cortical properties in human, it is necessary to obtain an accurate and explicit representation of the cortical surface in individual subjects. Among many approaches, surface-based method that reconstructs a 3-D model from contour lines on cross-section images is widely used. In general, however, medical brain imaging has some problems such as the complexity of the images, non-linear gain artifacts and so on. Due these limitations, therefore, extracting anatomical structures from imaging data is very a complicated and time-consuming task. In this paper, we present an improved method for extracting contour lines of cortical surface from magnetic resonance images that simplifies procedures of a conventional method. The conventional method obtains contour lines through thinning and chain code process. On the other hand, the proposed method can extract contour lines from comparison between boundary data and labeling image without supplementary processes. The usefulness of the proposed method has been verified using brain image.
안광옥,정현교,An, Kwang-Ok,Jung, Hyun-Kyo 대한의용생체공학회 2008 의공학회지 Vol.29 No.2
In order to study cortical properties in human, it is necessary to obtain an accurate and explicit representation of the cortical surface in individual subjects. Among many approaches, surface-based method that reconstructs a 3-D model from contour lines on cross-section images is widely used. The conventional method detects match points of contours using the minimum straight distance between any pair of contour points which lie on different contours. Then, it generates a triangle strip. In general, however, it might yield small mismatches between contours in case of brain due to complex anatomical structures. In this paper, therefore, we present an improved method for tilting operation that uses the curvature values calculated from surface information. The usefulness of the proposed method has been verified using brain image.
개선된 다운힐 심플렉스 법을 이용한 주파수 영역에서의 뇌자도 신호원 추정
김병준,안광옥,이찬희,정현교,Kim, Byeong-Jun,An, Kwang-Ok,Lee, Chany,Jung, Hyun-Kyo 대한의용생체공학회 2008 의공학회지 Vol.29 No.3
Nelder-Mead downhill simplex method (DSM), a kind of deterministic optimization algorithms, has been used extensively for magnetoencephalography(MEG) dipolar source localization problems because it dose not require any functional differentiation. Like many other deterministic algorithms, however, it is very sensitive to the choice of initial positions and it can be easily trapped in local optima when being applied to complex inverse problems with multiple simultaneous sources. In this paper, some modifications have been made to make up for DSM's limitations and improve the accuracy of DSM. First of all, initial point determination method for DSM using magnetic fields on the sensor surface was proposed. Secondly, Univariant-DSM combined DSM with univariant method was proposed. To verify the performance of the proposed method, it was applied to simulated MEG data and practical MEG measurements.
보조기기 오픈소스 개발 및 적용을 위한 ‘보조기기 열린플랫폼’ 구축 및 운영 연구
노은래 ( Ro Eun Rae ),안광옥 ( An Kwang Ok ),김지해 ( Kim Jihae Agnes ),은선덕 ( Eun Seon Deok ) 디자인융복합학회 2023 디자인융복합연구 Vol.22 No.3
보조기기는 장애인, 노인의 다양한 신체적 기능과 변형에 맞추어 제작되기 때문에 3D프린터의 기술적 특징을 잘 활용할 수 있다. 이에 일부 보조기기 센터에서는 3D 프린팅을 활용하여 보조기기 제작 서비스를 적용하고 있으나 3D프린터 보조기기 데이터 부족 등의 부족으로 어려움을 겪고 있다. 이러한 시대의 요구에 발맞춰 국립재활원에서도 보조기기 오픈소스 공유플랫폼인 ‘보조기기 열린플랫폼’을 기획하여 개발 및 운영하고자 하였다. 이에 본 연구에서는 보조기기 열린플랫폼의 세부 내용을 구체화하기 위해 다양한 분야의 전문가 6인이 모여 서비스모델의 적합성, 플랫폼 접근성, 플랫폼 활성화 방안 등을 논의하였다. 이해관계자별, 핵심기능별 서비스 플로우를 통해 서비스모델을 최적화하고자 하였고, 카테고리 분류방안과 웹 접근성 제고를 통해 플랫폼 접근성을 향상시키고자 하였다. 다른 기관과 협력할 수 있는 분야를 논의하고 플랫폼 사용자를 위한 보상 체계 또한 구상하였다. 이렇게 기획된 플랫폼은 2022년 3월 2일 오픈하였고, 12월까지의 운영결과를 토대로 향후 나아갈 방향에 대해 제시하였다. Since assistive devices and technology are manufactured according to the various physical functions and deformations of the disabled and the elderly, the technical features of the 3D printer can be utilized well. Accordingly, some assistive technology(AT) centers use 3D printing to apply AT production services, but they are suffering from a lack of 3D printer AT data. In line with the demands of this era, the National Rehabilitation Center also planned, developed, and operated the 'AT Open platform', an AT open source sharing platform. In this study, six experts from various fields gathered to discuss the suitability of the service model, platform accessibility, and platform activation measures to specify the details of the AT Open platform. We attempted to optimize the service model through service flow by stakeholder and core functions and to improve platform accessibility by optimizing category classification and web accessibility. We also discussed areas where we can cooperate with other institutions and devised a compensation system for platform users. The platform planned in this way was opened on March 2, 2022, and the future direction was presented based on the operation results until December.