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권구주,신병석 한국정보처리학회 2017 Journal of information processing systems Vol.13 No.5
A variety of medical service applications in the field of the Internet of Things (IoT) are being studied. Segmentation is important to identify meaningful regions in images and is also required in 3D images. Previous methods have been based on gray value and shape. The Visible Korean dataset consists of seriallysectioned high-resolution color images. Unlike computed tomography or magnetic resonance images,automatic segmentation of color images is difficult because detecting an object’s boundaries in colored imagesis very difficult compared to grayscale images. Therefore, skilled anatomists usually segment color imagesmanually or semi-automatically. We present an out-of-core 3D segmentation method for large-scale imagedatasets. Our method can segment significant regions in the coronal and sagittal planes, as well as the axialplane, to produce a 3D image. Our system verifies the result interactively with a multi-planar reconstructionview and a 3D view. Our system can be used to train unskilled anatomists and medical students. It is alsopossible for a skilled anatomist to segment an image remotely since it is difficult to transfer such largeamounts of data.
New Viewpoint of Surface Anatomy Using the Curved Sectional Planes of a Male Cadaver
권구주,신병석,정민석,정범선 대한의학회 2019 Journal of Korean medical science Vol.34 No.3
Background: The curved sectional planes of the human body can provide a new approach of surface anatomy that the classical horizontal, coronal, and sagittal planes cannot do. The purpose of this study was to verify whether the curved sectional planes contribute to the morphological comprehension of anatomical structures. Methods: By stacking the sectioned images of a male cadaver, a volume model of the right half body was produced (voxel size 1 mm). The sectioned images with the segmentation data were also used to build another volume model. The volume models were peeled and rotated to be screen captured. The captured images were loaded on user-friendly browsing software that had been made in the laboratory. Results: The browsing software was downloadable from the authors' homepage (anatomy. co.kr). On the software, the volume model was peeled at 1 mm thicknesses and rotated at 30 degrees. Since the volume models were made from the cadaveric images, actual colors of the structures were displayed in high resolution. Thanks to the segmentation data, the structures on the volume model could be automatically annotated. Using the software, the sternocleidomastoid muscle and the internal jugular vein in the neck region, the cubital fossa in the upper limb region, and the femoral triangle in the lower limb region were observed to be described. Conclusion: For the students learning various medical procedures, the software presents the needed graphic information of the human body. The curved sectional planes are expected to be a tool for disciplinary convergence of the sectional anatomy and surface anatomy.
Improved Software to Browse the Serial Medical Images for Learning
권구주,정민석,박진서,신병석,정범선 대한의학회 2017 Journal of Korean medical science Vol.32 No.7
The thousands of serial images used for medical pedagogy cannot be included in a printed book; they also cannot be efficiently handled by ordinary image viewer software. The purpose of this study was to provide browsing software to grasp serial medical images efficiently. The primary function of the newly programmed software was to select images using 3 types of interfaces: buttons or a horizontal scroll bar, a vertical scroll bar, and a checkbox. The secondary function was to show the names of the structures that had been outlined on the images. To confirm the functions of the software, 3 different types of image data of cadavers (sectioned and outlined images, volume models of the stomach, and photos of the dissected knees) were inputted. The browsing software was downloadable for free from the homepage (anatomy.co.kr) and available off-line. The data sets provided could be replaced by any developers for their educational achievements. We anticipate that the software will contribute to medical education by allowing users to browse a variety of images.
권구주,신동선,신병석,박형선,이상호,장해권,박진서,정민석 대한의학회 2015 Journal of Korean medical science Vol.30 No.5
We intended to determine that virtual endoscopy and laparoscopy of the stomach based on serially sectioned cadaver images is beneficial. Therefore, the outlines between the gastric wall and lumen were traced using the new female data of the Visible Korean to build a volume model. While the outlines were expanded at appropriate thicknesses, the stomach was observed endoscopically and laparoscopically in comparison with a chosen sectioned image. Four layers (mucosa, submucosa, muscular layer, and serosa) of the stomach were discernible by their proper colors in the sectioned images. All layers except the submucosa were identified in the endoscopic and laparoscopic views by using consistent colors. The stepwise expansion of the outlines revealed thickness of each layer as well as whether the thickness was uniform. Our ideas and the Visible Korean images could be a robust resource of virtual reality learning for medical students and clinicians.
권구주(Koo-Joo Kwon),신병석(Byeong-Seok Shin),한창호(Chang-Ho Han) 한국정보과학회 2001 한국정보과학회 학술발표논문집 Vol.28 No.1B
영상기반 렌더링(image-based rendering) 기법은 전통적인 컴퓨터 그래픽 기법과는 다르게 장면 생성 시 복잡한 3차원 정보들을 2차원 영상들의 조합으로 표현하여 렌더링 하는 방법이다. 그 중에서 원통맵을 이용한 렌더링은 파노라마 영상을 이용해 관찰자에게 보다 빠르게 실시간으로 장면을 렌더링 하여 보여준다. 이러한 영상기반 렌더링에서도 실제감을 보다 더 높이기 위해서는 빛과 빛에 의해 생기는 그림자, 하이라이트의 역할이 매우 중요하다. 하지만 파노라마 영상의 경우 미리 촬영된 영상들을 사용하므로 실시간으로 동적인 광원의 변화와 그로인한 그림자와 하이라이트 부분을 표현하기 위해서는 변화된 영상들을 재촬영하여 새로운 파노라마 영상을 제작해야 한다. 본 논문에서는 OpenGL을 이용하여 실내 공간을 표현한 원통 영상 기반 환경 맵에서 광원의 위치변화에 의해 가상 하이라이트(virtual highlight)의 움직임을 파노라마 이미지의 재 촬영 없이 몇 가지 기하학 정보만으로 계산하여 표현해 주는 방법을 제안한다.
김민수,권구주,신병석 한국게임학회 2015 한국게임학회 논문지 Vol.15 No.2
이 논문에서는 의료용 초음파 볼륨 데이터의 잡음을 효과적으로 제거하기 위한 방법을 제안 한다. 초음파 영상은 잡음이 심하여 필터링이 필요하다. 기존의 2차원 필터링은 인접한 슬라이 스 간 정보를 무시하고 기존의 3차원 필터링은 속도가 느리거나 잡음 제거 효과가 떨어지는 필 터를 적용하였고 또한 초음파 데이터의 샘플링 특성을 고려치 않아 균등하게 필터링 하지 않았 다. 이를 해결하기 위해 잡음제거에 효과적인 양방향 필터를 병렬로 빠르게 처리하고 필터 영 역에 따라 윈도우 크기를 달리하는 기법을 제안한다. 공간 필터의 합산영역 테이블을 이용하여 병렬로 빠르게 필터링하고 윈도우 크기는 필터 영역에 따라 비례적으로 결정한다. 실험은 평균 필터와 양방향 필터, 양방향 적응 필터를 적용한 초음파 볼륨 렌더링 영상에서 잡음 제거와 원 본 손실 정도를 비교한다. 이렇게 하여 양방향 필터링을 빠르게 수행하면서 기존 보다 균등하 게 필터링하여 잡음을 효과적으로 정확하게 제거할 수 있다. This paper introduces effective noise removal method for medical ultrasound volume data. Ultrasound volume data need to be filtered because it has a lot of noise. Conventional 2d filtering methods ignore information of adjacent layers and conventional 3d filtering methods are slow or have simple filter that are not efficient for removing noise and also don`t equally operate filtering because that don`t take into account ultrasound` sampling character. To solve this problem, we introduce method that fast perform in parallel bilateral filtering that is known as good for noise removal and adjust proportionally window size depending on that`s position. Experiments compare noise removal and loss of original data among average filtered or biliteral filtered or adaptive biliteral filtered ultrasound volume rendering images. In this way, we can more efficiently and correctly remove noise of ultrasound volume data.