• Title/Summary/Keyword: 3D 재구성

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Comparison of Diagnostic Accuracy of Three-Dimensional MR Cholangiopanceatography and ERCP in Various Extrahepatic Biliary Lesions (여러 간외담도 질환에서 삼차원적 자기공명 췌담관 조영술과 내시경적 역행성 췌담관 조영술과의 비교: 진단적 정확성을 중심으로)

  • 김경숙;이문규;김명환;이승규;김표년;오용호
    • Investigative Magnetic Resonance Imaging
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    • v.1 no.1
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    • pp.148-153
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    • 1997
  • Purpose: To evaluate the diagnostic role of a three-dimensional MR cholangiopancreatography (MRCP) over endoscopic retrograde cholangio-pancreatography (ERCP) in various extrah-epatic biliary disease. Materials and Methods: MRCP and ERCP were performed in 45 consecutive patients with suspected extrahepatic biliary diseases. MRCP was obtained using a reverse fast imaging with a steady-state free precession (reverse FISP: PSIF) sequence, and then images were reconstructed by standard MIP algorithm. The predictability of biliary dilatation and level of obstruction of MRCP was evaluated using ERCP as a gold standard. The accuracy distinguishing malignant from benign lesions, and overall diagnostic accuracy were compared between MRCP and ERCP. Results: The sensitivity, specificity and accuracy of MRCP in predicting biliary dilatation were 94.6%, 75.0% and 91.1%, respectively. The level of obstruction was accurate in 87.0% with MRCP. The sensitivity, specificity and accuracy of MRCP and ERCP in distinguishing malignant from benign lesions were 76.2%, 87.5% and 82.2% and 71.4%, 83.3% and 77.8%, respectively. The overall diagnostic accuracy was 60.0% with MRCP and 55.6% with ERCP. Conclusion: 3D MRCP shows a good diagnostic value compared to that of ERCP, and can replace a ERCP.

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SIFT based Image Similarity Search using an Edge Image Pyramid and an Interesting Region Detection (윤곽선 이미지 피라미드와 관심영역 검출을 이용한 SIFT 기반 이미지 유사성 검색)

  • Yu, Seung-Hoon;Kim, Deok-Hwan;Lee, Seok-Lyong;Chung, Chin-Wan;Kim, Sang-Hee
    • Journal of KIISE:Databases
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    • v.35 no.4
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    • pp.345-355
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    • 2008
  • SIFT is popularly used in computer vision application such as object recognition, motion tracking, and 3D reconstruction among various shape descriptors. However, it is not easy to apply SIFT into the image similarity search as it is since it uses many high dimensional keypoint vectors. In this paper, we present a SIFT based image similarity search method using an edge image pyramid and an interesting region detection. The proposed method extracts keypoints, which is invariant to contrast, scale, and rotation of image, by using the edge image pyramid and removes many unnecessary keypoints from the image by using the hough transform. The proposed hough transform can detect objects of ellipse type so that it can be used to find interesting regions. Experimental results demonstrate that the retrieval performance of the proposed method is about 20% better than that of traditional SIFT in average recall.

Measurement of Rotor Blade Deformation and Motions using Stereo Pattern Recognition Method (SPR 기법을 이용한 회전 블레이드의 변형 및 모션 측정)

  • Park, Jae-Won;Kim, Hong-Il;Han, Jae-Hung;Kim, Do-Hyung;Song, Keun-Woong
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.39 no.5
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    • pp.442-450
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    • 2011
  • A measurement system using stereo pattern recognition (SPR) method was configured to measure the rotor blade deformations and motions. An SPR-based measurement system was prepared using six stereo cameras. Through a series of experiments to evaluate the system measurement uncertainty, it was verified that the SPR system had less than 0.2mm standard uncertainty. The combined standard uncertainties for the lead-lag, flapping, and pitching motions were estimated as 0.296mm, 0.209mm, and $0.238^{\circ}$, respectively. The SPR system was installed at a general small-scaled rotor test system at Korea Aerospace Research Institute. The blade motions and elastic deformation were successfully measured under the conditions with rotating speeds of 360rpm or 589rpm, and collective pitch angles of $0^{\circ}$, $4^{\circ}$, or $6^{\circ}$. The advantages of the SPR system was analyzed in comparison with the measurement system used in Higher Harmonic Control Aeroacoustic Rotor Test -II.

A Real-time Particle Filtering Framework for Robust Camera Tracking in An AR Environment (증강현실 환경에서의 강건한 카메라 추적을 위한 실시간 입자 필터링 기법)

  • Lee, Seok-Han
    • Journal of Digital Contents Society
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    • v.11 no.4
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    • pp.597-606
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    • 2010
  • This paper describes a real-time camera tracking framework specifically designed to track a monocular camera in an AR workspace. Typically, the Kalman filter is often employed for the camera tracking. In general, however, tracking performances of conventional methods are seriously affected by unpredictable situations such as ambiguity in feature detection, occlusion of features and rapid camera shake. In this paper, a recursive Bayesian sampling framework which is also known as the particle filter is adopted for the camera pose estimation. In our system, the camera state is estimated on the basis of the Gaussian distribution without employing additional uncertainty model and sample weight computation. In addition, the camera state is directly computed based on new sample particles which are distributed according to the true posterior of system state. In order to verify the proposed system, we conduct several experiments for unstable situations in the desktop AR environments.

Three Dimensional Reconstruction on Computed Tomograms of Fish Bones (생선가시의 전산화 단층촬영 자료에 삼차원 재구성법을 적용한 연구)

  • Park, Joong Hyun;Woo, Kuk Sung;Yoo, Young Sam;Kim, Dong Won;Lee, Han Bee
    • Korean Journal of Bronchoesophagology
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    • v.18 no.2
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    • pp.49-55
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    • 2012
  • Background and Objectives This study was conducted to gather three dimensional images from computed tomogram in detecting and gaining information about fish bones. Materials and Methods Thirty-nine fish bones and 2 chicken leg bones were used. Bones sandwiched between the cotton sheets were placed into the 3 plastic boxes. Computed tomogram of the bones in the boxes were reconstructed three-dimensionally by Xelis (Infinitt, Korea) to make images of MPR, MIP and VR images. The images were compared with real chicken bones and fish bones as to possibility of detection, finding of location and orientation, and evaluation of shape and calculation of size. Results All 41 bones were detected in all reconstructed images. Distance to the bones from reference point can be measured and orientation can be checked. Shapes were similar between matched images of all real bones. Conclusion The results indicate the usefulness of 3D reconstruction technique in getting informations about fish bones.

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Realization of the Pulse Doppler Radar Signal Processor with an Expandable Feature using the Multi-DSP Based Morocco-2 Board (다중 DSP 구조의 Morocco-2 보드를 이용한 확장성을 갖는 펄스 도플러 레이다 신호처리기 구현)

  • 조명제;임중수
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.12 no.7
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    • pp.1147-1156
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    • 2001
  • In this paper, a new design architecture of radar signal processor in real time is proposed. It has been designed and implemented under the consideration to minimize the inter-processor communication overhead and to maintain the coherence in Doppler pulse domain and in range domain. Its structure can be easily reconfigured and reprogrammed in accordance with an addition of function algorithm or a modification of operational scenario. As we designed a task configuration for parallel processing from measures of computation time for function algorithms and transmission time for results by signal processing, data exchange between processors for performing of function algorithms could be fully removed. Morocco-2 board equipped ADSP-21060 processor of Analog Devices inc. and APEX-3.2 developed for SHARC DSP were used to construct the radar signal processor.

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Morphological Analysis of Hydraulically Stimulated Fractures by Deep-Learning Segmentation Method (딥러닝 기반 균열 추출 기법을 통한 수압 파쇄 균열 형상 분석)

  • Park, Jimin;Kim, Kwang Yeom ;Yun, Tae Sup
    • Journal of the Korean Geotechnical Society
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    • v.39 no.8
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    • pp.17-28
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    • 2023
  • Laboratory-scale hydraulic fracturing experiments were conducted on granite specimens at various viscosities and injection rates of the fracturing fluid. A series of cross-sectional computed tomography (CT) images of fractured specimens was obtained via a three-dimensional X-ray CT imaging method. Pixel-level fracture segmentation of the CT images was conducted using a convolutional neural network (CNN)-based Nested U-Net model structure. Compared with traditional image processing methods, the CNN-based model showed a better performance in the extraction of thin and complex fractures. These extracted fractures extracted were reconstructed in three dimensions and morphologically analyzed based on their fracture volume, aperture, tortuosity, and surface roughness. The fracture volume and aperture increased with the increase in viscosity of the fracturing fluid, while the tortuosity and roughness of the fracture surface decreased. The findings also confirmed the anisotropic tortuosity and roughness of the fracture surface. In this study, a CNN-based model was used to perform accurate fracture segmentation, and quantitative analysis of hydraulic stimulated fractures was conducted successfully.

Singular Value Decomposition based Noise Reduction Technique for Dynamic PET I mage : Preliminary study (특이값 분해 기반 Dynamic PET 영상의 노이즈 제거 기법 : 예비 연구)

  • Pyeon, Do-Yeong;Kim, Jung-Su;Baek, Cheol-Ha;Jung, Young-Jin
    • Journal of radiological science and technology
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    • v.39 no.2
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    • pp.227-236
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    • 2016
  • Dynamic positron emission tomography(dPET) is widely used medical imaging modality that can provide both physiological and functional neuro-image for diagnosing various brain disease. However, dPET images have low spatial-resolution and high noise level during spatio-temporal analysis (three-dimensional spatial information + one-dimensional time information), there by limiting clinical utilization. In order to overcome these issues for the spatio-temporal analysis, a novel computational technique was introduced in this paper. The computational technique based on singular value decomposition classifies multiple independent components. Signal components can be distinguished from the classified independent components. The results show that signal to noise ratio was improved up to 30% compared with the original images. We believe that the proposed computational technique in dPET can be useful tool for various clinical / research applications.

3-D Conformal Radiotherapy for CNS Using CT Simulation (입체조준장치를 이용한 중추신경계의 방사선 입체조형치료 계획)

  • 추성실;조광환;이창걸
    • Progress in Medical Physics
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    • v.14 no.2
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    • pp.90-98
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    • 2003
  • Purpose : A new virtual simulation technique for craniospinal irradiation (CSI) that uses a CT-simulator was developed to improve the accuracy of field and shielding placement as well as patient positioning. Materials and Methods : A CT simulator (CT-SIM) and a 3-D conformal radiation treatment planning system (3D-CRT) were used to develop CSI. The head and neck were immobilized with a thermoplastic mask while the rest of the body was immobilized with a Vac-Loc. A volumetric image was then obtained with the CT simulator. In order to improve the reproducibility of the setup, datum lines and points were marked on the head and body. Virtual fluoroscopy was performed with the removal of visual obstacles, such as the treatment table or immobilization devices. After virtual simulation, the treatment isocenters of each field were marked on the body and on the immobilization devices at the conventional simulation room. Each treatment fields was confirmed by comparing the fluoroscopy images with the digitally reconstructed radiography (DRR) and digitally composited radiography (DCR) images from virtual simulation. Port verification films from the first treatment were also compared with the DRR/DCR images for geometric verification. Results : We successfully performed virtual simulations on 11 CSI patients by CT-SIM. It took less than 20 minutes to affix the immobilization devices and to obtain the volumetric images of the entire body. In the absence of the patient, virtual simulation of all fields took 20 min. The DRRs were in agreement with simulation films to within 5 mm. This not only reducee inconveniences to the patients, but also eliminated position-shift variables attendant during the long conventional simulation process. In addition, by obtaining CT volumetric image, critical organs, such as the eyes and the spinal cord, were better defined, and the accuracy of the port designs and shielding was improved. Differences between the DRRs and the portal films were less than 3 m in the vertebral contour. Conclusion : Our analysis showed that CT simulation of craniospinal fields was accurate. In addition, CT simulation reduced the duration of the patient's immobility. During the planning process. This technique can improve accuracy in field placement and shielding by using three-dimensional CT-aided localization of critical and target structures. Overall, it has improved staff efficiency and resource utilization by standard protocol for craniospinal irradiation.

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Tracking the History of the Three-story Stone Pagoda from the Goseonsa Temple Site in Gyeongju throughan Analysis of Component (부재 해석을 통한 경주 고선사지 삼층석탑의 연혁 추적)

  • Jeon, Hyo Soo
    • Conservation Science in Museum
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    • v.21
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    • pp.41-52
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    • 2019
  • The findings of a 2017 safety inspection of the Three-story Pagoda from the Goseonsa Temple site in Gyeongju suggested the possibility that the stone for the second story of the pagoda may have been rotated after the pagoda was disassembled for removal from its original site in 1975. The materials from the pagoda were investigated using photographs and other relevant data from both the Japanese colonial period and from around 1975. The analysis found that the materials of the pagoda were not changed after analleged reconstruction in 1943, but that during the process of relocating the pagoda in 1975 the body of the second story was indeed rotated counter clockwise by 90 degrees and one of the four stone elements making up the first-story roof was exchanged with a part from the second-story roof. In order to discover whether the materials had been incorrectly placed, each part of the pagoda was precisely measured and the elements of the roofs were virtually reconstructed using 3D scanning data. The investigation did not find any singularities with in the components of each roof; the four part sof the first-story roof were 75 to 76 centimeters thick and those for the second-story roof were 78 to 79 centimeters thick. The connections between each part of the roofs also appeared natural. This seems to indicate that there was indeed an undocumented repair of the pagoda at some point between its creation and 1943 and an error that took place during this repair was corrected in 1975. In addition, the study suggested a possibility that the body of the second story was rotated counter clockwised to a change in the locations of parts of the two roofs.