• Title/Summary/Keyword: Fiducial

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A Study on the Minimization of Spatial Error in 3-Demensional Neuronavigator (3차원 영상지원 뇌수술장비의 공간오차 최소화에 관한 연구)

  • 이동준;다영신;이정교
    • Progress in Medical Physics
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    • v.8 no.2
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    • pp.19-26
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    • 1997
  • 3-dimensional Neuronavigator, Viewing Wand(ISG Technologies, Toronto, Cannda) is the surgery aid equipment for real time image (CT or MRI) guided surgery. The assurance of spatial accuracy of this system is important for clinical application. In this study, we have designed the acrylic brain phantom and measured the spatial error with that phantom. The phantom has designed to have capability to simulate image guided surgery. The phantom has 22 vertical rods whose diameters are 5mm and each rods has different length. CT scans were performed by 2.0mm slice and reconstructed for 3-Dimensional analysis. End point of rods can be obtained using reconstructed 3- Dimensional images and they are compared to actual position data. Average deviation was less than 2mm for various situations. Spatial error of Viewing Wand is acceptable in the clinical points of view, while cosmetics of the software needs to be modified to more user friend. Better accuracy can be expected when we apply the mixed fiducial fit registration and surface fit registration method. And even better results can be obtained if registration points distributed even and symetric around the target.

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Patch-based Texture Synthesis for Marker Concealment (마커 은닉을 위한 패치 기반 텍스쳐 합성)

  • Yun, Kyung-Dahm;Woo, Woon-Tack
    • Journal of the HCI Society of Korea
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    • v.2 no.2
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    • pp.11-18
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    • 2007
  • We propose a novel method to conceal fiducial markers observed in augmented scenes using patch-based texture synthesis. Despite the efficiency for simple object recognition and tracking, the markers deliver inherent obtrusiveness. They do not only reduce immersiveness, but also severely degrade usability of augmented reality. The proposed method constructs alternative images in real time to overlay markers present in the sequence of images. The global characteristics of background textures are retained and the results are more adaptive to illumination changes.

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Numerical Algorithms of Image Registration for Intra-Cavity Surgical Robots (인체 공동 내부 수술용 로봇을 위한 이미지기반 레지스트레이션 알고리즘)

  • Lee, Sang-Yoon;Shin, Seung-Ha;An, Jae-Bum;Joo, Jin-Man
    • Proceedings of the KSME Conference
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    • 2004.11a
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    • pp.714-719
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    • 2004
  • This paper presents two numerical algorithms for registration of cross-sectional medical images such as CT (Computerized Tomography) or MRI (Magnetic Resonance Imaging) by using geometrical information from helix or line fiducials. The registration algorithms are designed to be used for a surgical robot working inside cavities of human body. A cylindrical device with a combination of line and helix fiducials were also devised and is supposed to be attached to the end-effector of surgical robot. The algorithms and the fiducial pattern were tested in various computer-simulated situations, and the results indicate excellent overall registration accuracy.

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Clinical Application of Image Guided Surgery : Zeiss SMN System (영상유도 뇌수술 장비의 임상적 적용 : Zeiss SMN System)

  • Lee, Chea Heuck;Lee, Ho Yeon;Whang, Choong Jin
    • Journal of Korean Neurosurgical Society
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    • v.29 no.1
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    • pp.72-77
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    • 2000
  • The authors describe the experience with the interactive image-guided Zeiss SMN system, which has been applied to 20 patients with various intracranial lesions during one year. Preoperative radiologic evaluation was CT scan in 6 cases, MRI in 14 cases. In all except one case, average fiducial registration errors were less than 2mm. There was no statistical difference in registration error between CT and MR image. This system considered to be relatively stable with respect to soft and hardware. Also it was useful for the designing of the scalp incision and bone flap and assessing the extent of resection in tumors, especially in gliomas. Moreover, it was helpful to evaluate complex surgical anatomy in skull base surgery.

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CN AND CH BAND STRENGTHS OF BRIGHT GIANTS IN THE GLOBULAR CLUSTER M15

  • LEE SANG-GAK
    • Journal of The Korean Astronomical Society
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    • v.33 no.3
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    • pp.137-142
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    • 2000
  • CN and CH band strengths for ten new bright giants in the globular cluster M15 have been measured from archival spectra obtained with the Multiple Mirror Telescope. Using published indices for other bright M15 giants, a CN-CH band strength anticorrelation is found for bright red giants. However, stars that do not follow the CN-CH anticorrelation are also found. They seem to show a positive correlation between the two indices. Among them, all the AGB and HB stars of the sample are included. Stars I-38 and X6, which are located near the RGB fiducial line in the CMD, have low measured CH(G) indices compared with other RGB stars. Stars IV-38, S4, and S1, which are all near the RGB tip, have strong measured CH(G) indices. Therefore, most of their evolutionary states are suspected to be different from those of a normal single RGB star.

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A Study on the Development of Inspection System of SMD Mounted on Cream Solder Using Machine Vision (머신비젼을 이용한 크림솔더상에 장착된 SMD의 검사시스템 개발에 관한 연구)

  • Shm, Dong-Won;Park, Kyoung-Seok
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.2 no.2
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    • pp.67-74
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    • 2003
  • This paper presents the development of the Inspection machine for SMD mounted on cream solder of PCB. There are mounting errors of SMD such as misalignment, missing part, wrong orientation, wrong polarity and so on. The main hardware of the system consists of a machine vision part and a motion control part. Operating software has been developed in GUI environment to help user convenience. The Inspection Jobs consist of two procedures, that is, creation of the inspection reference data and automatic inspection. The Inspection reference data has a tree structure of linked list including PCB information, blocks, components, windows, and inspection methods. This paper presents versatile inspection methods which include a section length method, a projection method and histogram method. Therefore, user can choose the suitable procedure for various components. Finally, the automatic Inspection procedure using the reference data checks the mounting errors of components.

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사이버나이프의 Targeting 에러의 평가

  • Jang, Ji-Seon;Gang, Yeong-Nam;Lee, Tae-Gyu;Choe, Byeong-Ok;Lee, Gyeong-Jin;Choe, Il-Bong;Kim, Mun-Chan;Gwon, Su-Il
    • Proceedings of the Korean Society of Medical Physics Conference
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    • 2005.04a
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    • pp.87-88
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    • 2005
  • 사이버나이프를 이용한 두경부와 체부 등의 정위방사선수술에서는 목표점의 식별 및 위치 추적에 대하여 높은 정확성을 요구한다. 본 연구에서는 사이버나이프의 targeting의 정확성을 평가하고자 한다. 사이버나이프의 targeting의 정확성을 평가하기 위하여 두상 팬텀을 사용하였다. 환자 치료시와 동일한 CT 영상 프로토콜로 두상 팬텀의 영상을 얻어 치료계획을 세웠다. 팬텀에 radiochromic 필름을 삽입한 뒤 수립된 치료계획에 맞춰 팬텀에 방사선을 조사하였다. 방사선 조사시 위치 추적은 skull과 fiducial 추적의 두 가지 방법을 사용하였다. 방사선에 조사된 radiochromic 필름을 분석하여 정확성을 평가하였다. 본 연구를 통하여 실시간 영상유도 기술을 사용하는 사이버나이프는 약 1 mm의 targeting 에러를 보였다.

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Disparity estimation based on edge fiducial points and adaptive window (경계선의 특정 기준점과 적응적 윈도우를 기반으로 한 변위 추정)

  • 노윤향;고병철;변혜란;유지상
    • Proceedings of the Korean Information Science Society Conference
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    • 2001.04b
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    • pp.559-561
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    • 2001
  • 본 논문에서는 스테레오 영상으로부터 변위를 추정할 수 있는 다양한 방법들 중 특정 기반 방식과 영역 기반 방식의 각각의 장점들을 살리고 단점들을 보완하기 위한 방법은 제안한다. 영상의 경계선을 이루는 특징점들은 전체 영상의 5% 내외의 소수로 추출되면서도 많은 양의 영상 정보를 가지고 있으므로, 이 점들에 대해 일정한 매칭 과정을 통해 대응점을 구하고, 이 중 90% 이상의 정확성 매칭 확률을 가진 대응점들을 영상으로 기준점으로 설정한다. 그리고 이러한 기준점 이외의 점들에 대해서는 추출된 기준점들의 순서에 맞추어 Ordering Constraint를 적용시키고 기준점에 따라 블록의 크기가 달라지는 영역 기반 방식을 적용하여 조밀한 변위를 추정하였다. 이렇게 함으로써 영역 기반 방식과 특징 기반 방식의 각각의 장점들을 이용하면서도 특정기반 방식의 문제점인 보간법 문제를 해결하였고, 또한 블록의 크기 따라 계산 시간과 정합 오차가 많이 좌우되는 영역 기반 방식의 단점들을 해결하였다. 또한 기준점을 이용하여 Ordering constraint 기반하에 영역 정보를 이용하므로 좀 더 올바른 순서 조건에 맞추어 대응점을 찾을 수 있고 또한 폐쇄 영역 부분도 쉽게 찾을 수 있었다.

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An Automatic Visual Alignment System for an Exposure System (노광시스템을 위한 자동 정렬 비젼시스템)

  • Cho, Tai-Hoon;Seo, Jae-Yong
    • Journal of the Semiconductor & Display Technology
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    • v.6 no.1 s.18
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    • pp.43-48
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    • 2007
  • For exposure systems, very accurate alignment between the mask and the substrate is indispensable. In this paper, an automatic alignment system using machine vision for exposure systems is described. Machine vision algorithms are described in detail including extraction of an alignment mark's center position and camera calibration. Methods for extracting parameters for alignment are also presented with some compensation techniques to reduce alignment time. Our alignment system was implemented with a vision system and motion control stages. The performance of the alignment system has been extensively tested with satisfactory results. The performance evaluation shows alignment accuracy of lum within total alignment time of about $2{\sim}3$ seconds including stage moving time.

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Fiducial Marker Detection for Vision-based Collaborating System of Drone and Ground Vehicle (드론과 지상 로봇의 비전 기반 협업 시스템을 위한 기준 마커 검출)

  • Beck, Jong-Hwan;Kim, Sang-Hoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.11a
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    • pp.965-968
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    • 2017
  • 드론이라고도 불리는 소형 무인기는 비전 시스템을 대부분 갖추고 있어 비전을 응용한 기술이 적합한 플랫폼이며 특히 랜드 마크 기반 위치 추적 방법은 드론과 지상 로봇과 같은 다른 플랫폼 간의 협업을 위한 효율적인 방법 중 하나이다. 본 논문에서는 드론과 지상 로봇의 협업 시스템을 위하여 기준 마커를 검출하는 연구에 대하여 서술한다. 기준 마커 중 하나인 ArUco는 바코드보다 간단한 내부 코드를 가지고 있다. 기준 마커의 카메라 캘리브레이션을 통하여 카메라와 마커의 자세 추정이 가능하다. 성능 평가 실험을 통하여 형태가 간단한 마커, AprilTags, ArUco 간 성능 비교를 하였고 92%의 정확도를 얻어내었으며 ArUco의 적합한 이진화 알고리즘을 제시하였다.