• 제목/요약/키워드: Three-dimensional image acquisition

검색결과 82건 처리시간 0.021초

ITK를 이용한 폐혈관 분할 (Pulmonary vascular Segmentation Using Insight Toolkit(ITK))

  • 신민준;김도연
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2011년도 추계학술대회
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    • pp.554-556
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    • 2011
  • 각종 폐혈관 질환의 발생에 따른 정확하고 빠른 진단의 필요성이 강조되었다. 몇 가지 폐혈관 조영술의 제약사항의 존재로 흉부 CT에 대한 영상 처리의 필요성을 인지하였고 의료 영상처리의 다양성을 위해 ITK를 이용한 폐혈관 분할을 제안하였다. 본 논문은 명암 값을 기반한 방법으로 두 단계의 폐 영역 분할과 혈관 분할의 과정을 수행한다. 각 단계로 폐 영역 분할은 영상 향상, 문턱치 값, 관심영역 잘라내기로 결과 영상을 획득하고 폐 혈관 분할은 획득된 폐 영역에 영역 채우기를 적용하여 얻는다. 분할된 폐혈관 영상을 바탕으로 3차원 시각화 영상을 획득하여 폐혈관에 대한 다양한 관점의 분석 및 진단이 가능할 것으로 판단된다.

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A Novel RFID Dynamic Testing Method Based on Optical Measurement

  • Zhenlu Liu;Xiaolei Yu;Lin Li;Weichun Zhang;Xiao Zhuang;Zhimin Zhao
    • Current Optics and Photonics
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    • 제8권2호
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    • pp.127-137
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    • 2024
  • The distribution of tags is an important factor that affects the performance of radio-frequency identification (RFID). To study RFID performance, it is necessary to obtain RFID tags' coordinates. However, the positioning method of RFID technology has large errors, and is easily affected by the environment. Therefore, a new method using optical measurement is proposed to achieve RFID performance analysis. First, due to the possibility of blurring during image acquisition, the paper derives a new image prior to removing blurring. A nonlocal means-based method for image deconvolution is proposed. Experimental results show that the PSNR and SSIM indicators of our algorithm are better than those of a learning deep convolutional neural network and fast total variation. Second, an RFID dynamic testing system based on photoelectric sensing technology is designed. The reading distance of RFID and the three-dimensional coordinates of the tags are obtained. Finally, deep learning is used to model the RFID reading distance and tag distribution. The error is 3.02%, which is better than other algorithms such as a particle-swarm optimization back-propagation neural network, an extreme learning machine, and a deep neural network. The paper proposes the use of optical methods to measure and collect RFID data, and to analyze and predict RFID performance. This provides a new method for testing RFID performance.

Direct Geo-referencing for Laser Mapping System

  • Kim, Seong-Baek;Lee, Seung-yong;Kim, Min-Soo
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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    • pp.423-427
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    • 2002
  • Contrary to the traditional text-based information, 4S(GIS,GNSS,SIIS,ITS) information can contribute to the citizen's welfare in upcoming era. Recently, GSIS(Geo-Spatial Information System) has been applied and stressed out in various fields. As analyzed the data from GSIS arena, the position information of objects and targets is crucial and critical. Therefore, several methods of getting and knowing position are proposed and developed. From this perspective, Position collection and processing are the heart of 4S technology. We develop 4S-Van that enables real-time acquisition of position and attribute information and accurate image data in remote site. In this study, the configuration of 4S-Van equipped with GPS, INS, CCD and eye-safe laser scanner is shown and the merits of DGPS/INS integration approach for geo-referencing is briefly discussed. The algorithm of DGPS/INS integration fur determination of six parameters of motion is eccential in the 4S-Van to avoid or simplify the complicated computation such as photogrammetric triangulation. 4S-Van has the application of Laser-Mobile Mapping System for three-dimensional data acquisition that merges the texture information from CCD camera. The technique is also applied in the fields of virtual reality, car navigation, computer games, planning and management, city transportation, mobile communication, etc.

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A New Method for Aortic Valve Planimetry with High-Resolution 3-Dimensional MRI and Its Comparison with Conventional Cine MRI and Echocardiography for Assessing the Severity of Aortic Valvular Stenosis

  • Hae Jin Kim;Yeon Hyeon Choe;Sung Mok Kim;Eun Kyung Kim;Mirae Lee;Sung-Ji Park;Joonghyun Ahn;Keumhee C. Carriere
    • Korean Journal of Radiology
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    • 제22권8호
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    • pp.1266-1278
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    • 2021
  • Objective: We aimed to compare the aortic valve area (AVA) calculated using fast high-resolution three-dimensional (3D) magnetic resonance (MR) image acquisition with that of the conventional two-dimensional (2D) cine MR technique. Materials and Methods: We included 139 consecutive patients (mean age ± standard deviation [SD], 68.5 ± 9.4 years) with aortic valvular stenosis (AS) and 21 asymptomatic controls (52.3 ± 14.2 years). High-resolution T2-prepared 3D steady-state free precession (SSFP) images (2.0 mm slice thickness, 10 contiguous slices) for 3D planimetry (3DP) were acquired with a single breath hold during mid-systole. 2D SSFP cine MR images (6.0 mm slice thickness) for 2D planimetry (2DP) were also obtained at three aortic valve levels. The calculations for the effective AVA based on the MR images were compared with the transthoracic echocardiographic (TTE) measurements using the continuity equation. Results: The mean AVA ± SD derived by 3DP, 2DP, and TTE in the AS group were 0.81 ± 0.26 cm2, 0.82 ± 0.34 cm2, and 0.80 ± 0.26 cm2, respectively (p = 0.366). The intra-observer agreement was higher for 3DP than 2DP in one observer: intraclass correlation coefficient (ICC) of 0.95 (95% confidence interval [CI], 0.94-0.97) and 0.87 (95% CI, 0.82-0.91), respectively, for observer 1 and 0.97 (95% CI, 0.96-0.98) and 0.98 (95% CI, 0.97-0.99), respectively, for observer 2. Inter-observer agreement was similar between 3DP and 2DP, with the ICC of 0.92 (95% CI, 0.89-0.94) and 0.91 (95% CI, 0.88-0.93), respectively. 3DP-derived AVA showed a slightly higher agreement with AVA measured by TTE than the 2DP-derived AVA, with the ICC of 0.87 (95% CI, 0.82-0.91) vs. 0.85 (95% CI, 0.79-0.89). Conclusion: High-resolution 3D MR image acquisition, with single-breath-hold SSFP sequences, gave AVA measurement with low observer variability that correlated highly with those obtained by TTE.

평면 방정식을 이용한 S&P 잡음제거 필터 알고리즘 (S&P Noise Removal Filter Algorithm using Plane Equations)

  • 정영수;김남호
    • 한국정보통신학회논문지
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    • 제27권1호
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    • pp.47-53
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    • 2023
  • X-Ray, CT, MRI, 스캐너 등과 같은 장치는 영상 획득 과정 중 여러 원인으로 인해 S&P 잡음을 생성할 수 있다. 영상에 나타난 S&P 잡음은 영상의 품질을 저하시키기 때문에, 영상처리 과정에 잡음제거 기술을 필수적으로 사용해야 한다. S&P 잡음 제거에 관한 연구는 이미 다양한 방법이 제안되었으나, 이들 모두 잡음 밀도가 큰 환경에서는 잔여 잡음을 생성하는 문제점이 있었다. 따라서 본 논문은 영상의 grayscale 값을 새로운 축으로 설정하여 3차원의 평면 방정식을 기반으로 필터링하는 알고리즘을 제안하였다. 제안한 알고리즘은 로컬마스크를 세분화하여 가장 근접한 3개의 비잡음 화소를 유효 화소로 설계하여, 복수의 화소를 가진 영역에 대해 코사인 유사도를 적용하였다. 또한, 입력한 화소가 평면을 이룰 수 없는 경우에도 예외 화소로 분류하여 잔여 잡음 없이 우수한 복원을 이루었다.

방사선원 3차원 위치탐지를 위한 방사선 영상장치 개발 (Development of Three-Dimensional Gamma-ray Camera)

  • 이남호;황영관;박순용
    • 한국정보통신학회논문지
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    • 제19권2호
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    • pp.486-492
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    • 2015
  • 방사선 영상장치는 방사능 누출사고의 조기처리 및 확산 피해 최소화에 필수적인 장비이며, 가까운 미래에 빅마켓으로 성장될 원전폐로 분야에서도 중요한 역할을 담당할 것으로 예상된다. 현재까지 개발된 방사선 영상장치는 방사선 오염원의 위치를 방향 정보만으로 탐지하여 가시화하고 있고 방사선원의 거리 측정은 불가능한 실정이다. 본 논문에서는 스테레오 카메라 원리를 적용하여 방사선원의 3차원 위치정보를 추출할 수 있는 새로운 기법의 방사선 3차원 영상장치의 구현에 대해 연구하였다. 한 대의 방사선 센서와 CCD 카메라, 그리고 팬틸의 컴팩트한 구성으로 설계된 방사선 3차원 영상장치(K3-RIS)는 위치변환 제어에 의한 스테레오 방사선 영상 취득과 연속모드 제어 및 고속 스테레오 영상정보처리 기능이 특징이다. 개발한 장치의 기능검증을 위해 감마 방사선원(Cs-137)을 대상으로 실험을 수행한 결과 선원간의 거리와 무관하게 3% 이하의 거리측정 오차를 확인하였다.

Evaluation of Adult Lung CT Image for Ultra-Low-Dose CT Using Deep Learning Based Reconstruction

  • JO, Jun-Ho;MIN, Hyo-June;JEON, Kwang-Ho;KIM, Yu-Jin;LEE, Sang-Hyeok;KIM, Mi-Sung;JEON, Pil-Hyun;KIM, Daehong;BAEK, Cheol-Ha;LEE, Hakjae
    • 한국인공지능학회지
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    • 제9권2호
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    • pp.1-5
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    • 2021
  • Although CT has an advantage in describing the three-dimensional anatomical structure of the human body, it also has a disadvantage in that high doses are exposed to the patient. Recently, a deep learning-based image reconstruction method has been used to reduce patient dose. The purpose of this study is to analyze the dose reduction and image quality improvement of deep learning-based reconstruction (DLR) on the adult's chest CT examination. Adult lung phantom was used for image acquisition and analysis. Lung phantom was scanned at ultra-low-dose (ULD), low-dose (LD), and standard dose (SD) modes, and images were reconstructed using FBP (Filtered back projection), IR (Iterative reconstruction), DLR (Deep learning reconstruction) algorithms. Image quality variations with respect to varying imaging doses were evaluated using noise and SNR. At ULD mode, the noise of the DLR image was reduced by 62.42% compared to the FBP image, and at SD mode, the SNR of the DLR image was increased by 159.60% compared to the SNR of the FBP image. Based on this study, it is anticipated that the DLR will not only substantially reduce the chest CT dose but also drastic improvement of the image quality.

시각센서를 이용한 용접 Gap/Profile 모니터링 (Monitoring the Welding Gap/Profile with Visual Sensor)

  • 김창현;최태용;이주장;서정;박경택;강희신
    • 한국레이저가공학회:학술대회논문집
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    • 한국레이저가공학회 2005년도 춘계학술발표대회 논문집
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    • pp.3-8
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    • 2005
  • The robot systems are widely used in the welding manufacturing. The essential tasks to operate the welding robot are the acquisition of the position and/or shape of the parent metal. For the seam tracking or the robot automation, many kinds of contact and non-contact of the system which monitors the shape of the welding part is described. This system uses the line-type structured laser diode and the visual sensor. It includes the correction of radial distortion which is often found in the image from the camera with short focal length. Direct Linear Transformation (DLT) is used for the camera calibration. The three dimensional shape of the parent metal is obtained after simple linear transformation. Therefore, the system operates in real time. Some experiments are carried out to evaluate the performance of the developed system.

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Application of Virtual Surgical Planning with Computer Assisted Design and Manufacturing Technology to Cranio-Maxillofacial Surgery

  • Zhao, Linping;Patel, Pravin K.;Cohen, Mimis
    • Archives of Plastic Surgery
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    • 제39권4호
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    • pp.309-316
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    • 2012
  • Computer aided design and manufacturing (CAD/CAM) technology today is the standard in manufacturing industry. The application of the CAD/CAM technology, together with the emerging 3D medical images based virtual surgical planning (VSP) technology, to craniomaxillofacial reconstruction has been gaining increasing attention to reconstructive surgeons. This article illustrates the components, system and clinical management of the VSP and CAD/CAM technology including: data acquisition, virtual surgical and treatment planning, individual implant design and fabrication, and outcome assessment. It focuses primarily on the technical aspects of the VSP and CAD/CAM system to improve the predictability of the planning and outcome.

입체 영상 획득용 Stereoscopic Camera의 효율적 정렬 방법 (An efficient alignment method of the Stereoscopic camera for three dimensional image acquisition)

  • 김재한
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2001년도 추계종합학술대회
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    • pp.575-578
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    • 2001
  • 원격 조작이나 해저 수중 탐사에서 실제와 같이 거리감을 인식하며 제어하기 위하여, 3차원 입체 영상 카메라 장치를 사용하고 있다. 기본적인 구성 형태인 Stereoscopic Camera 시스템은 기구적으로 주시각 제어와 초점 제어가 이루어 지고 있으며, 획득영상에 대하여 영상 distortion 보정, 압축 처리 등의 영상 신호처리가 행하여진다. 양안 카메라의 수평 위치를 일치시켜 수평적으로 동일 위치의 pixel들이 정확한 epipolar line을 형성할 경우에, 주시각 제어가 용이하고 보정 및 영상처리 등의 연산량이 대폭 감소된다. 이와 같은 calibration 과정을, 기존의 시스템에서는, 주로 영상 획득 포기에 패턴을 사용하여 실시하거나, 물리적 수평 장치와 sensor 등의 보조 장치를 이용하여 calibration을 행한다. 그러나, 기계적으로 정밀하게 정렬을 한다고 하여도 두 카메라의 광축 및 CCD조립상 상이점과 특성의 불일치로 인하여 실제 획득된 영상에서는 변이와 회전이 포함된 영상을 얻게된다. 본 논문에서는 Stereoscopic Camera의 위와같은 정렬 오류의 문제점을 분석한 후, 제안 방식으로서 두 카메라의 획득되는 영상을 직접 영상 처리하여 수직 방향 및 회전 오류를 최소화 시켜 정렬하는 새로운 방법을 제시하며, 실험적으로 제안 방식의 효율성을 보인다.

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