• Title/Summary/Keyword: 삼차원영상

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T1-weighted MR Imaging of the Neonatal Brain at 3.0 Tesla: Comparison of Spin Echo, Fast Inversion Recovery, and Magnetization-prepared Three Dimensional Gradient Echo Techniques (3T 자기공명영상 장비에서 신생아 뇌의 T1 강조 영상: 스핀에코, 고속 역전회복, 자기화 삼차원 경사에코기법의 비교)

  • Jeong, Jee-Young;Yoo, So-Young;Jang, Kyung-Mi;Eo, Hong;Lee, Jung-Hee;Kim, Ji-Hye
    • Investigative Magnetic Resonance Imaging
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    • v.11 no.2
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    • pp.87-94
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    • 2007
  • Purpose: The purpose of this study was to evaluate the usefulness of fast inversion recovery (FIR) and magnetization-prepared three dimensional gradient echo sequence (3D GRE) T1-weighted sequences for neonatal brain imaging compared with spin echo (SE) sequence in a 3T MR unit. Materials and Methods: T1-weighted axial SE, FIR and 3D GRE sequences were evaluated from 3T brain MR imaging in 20 neonates. The signal-to-noise ratio (SNR) of different tissues was measured and contrast-to-noise ratios (CNR) were determined and compared in each of the sequences. Visual analysis was carried out by grading gray-white matter differentiation, myelination, and artifacts. The Wilcoxon signed ranked test was used for evaluation of the statistical significance of CNR differences between the sequences. Results: Among the three sequences, the 3D GRE had the best SNRs. CNRs obtained with FIR and 3D GRE were statistically superior to those obtained with SE; these CNRs were better on the 3D GRE compared to the FIR. Gray to white matter differentiation and myelination were better delineated on the FIR and 3D GRE than the SE. However, motion artifacts were more commonly observed on the 3D GRE and flow-related artifacts of vessels were frequently seen on the FIR. Conclusion: FIR and 3D GRE are valuable alternative T1-weighted sequences to conventional SE imaging of the neonatal brain at 3T providing superior image quality.

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Multi-view Stereoscopic Transmission System with MPEG-21 DIA (MPEG-21 DIA를 이용한 다시점 입체영상의 전송 시스템)

  • Lee, Seung-Won;Park, Il-Kwon;Kim, Man-Bae;Byun, Hye-Ran
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.10b
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    • pp.535-538
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    • 2006
  • 디지털 기술이 급격하게 발전함에 따라서 사용자들은 더 현실감을 느낄 수 있고 능동적으로 상호작용 할 수 있는 방송을 원하게 되었다. 최근 들어서 삼차원 다시점 방송이 이러한 것을 만족시키는 서비스로서 많은 관심을 받으면서 두각 되고 있다. 일반적으로 서버에 입력되는 모든 영상들은 전부 클라이언트로 전송되게 된다. 이후에 사용자는 전체 시점 중에서 몇 개의 시점을 골라서 보게 된다. 하지만 이러한 종류의 시스템은 클라이언트와 서버 모두가 막대한 처리 능력을 필요로 하게 되고 이것은 응용 프로그램을 구현하는데 있어서 어려운 문제가 된다. 이러한 문제를 극복하기 위해서 두 개의 시점을 선택하여 클라이언트로 전송하는 간략한 방법이 사용 가능하다. 본 논문의 시점 선택 과정은 MPEG-21 DIA (Digital Item Adaptation)와 융합되어있기 때문에 우리의 시스템은 MPEG-21 멀티미디어 프레임워크와 완벽하게 호환된다. 그리고 다시점 카메라와 시스템에 대한 XML 형식의 다시점 명세서를 최초로 소개한다. 마지막으로 우리는 다시점 입체 영상을 시청하는 동안에 사용자가 느낄 수 있는 불편함을 최소화 하는 방법으로 IVR (Intermediate View Reconstruction) 제안한다.

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Text Region Extraction and OCR on Camera Based Images (카메라 영상 위에서의 문자 영역 추출 및 OCR)

  • Shin, Hyun-Kyung
    • The KIPS Transactions:PartD
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    • v.17D no.1
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    • pp.59-66
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    • 2010
  • Traditional OCR engines are designed to the scanned documents in calibrated environment. Three dimensional perspective distortion and smooth distortion in images are critical problems caused by un-calibrated devices, e.g. image from smart phones. To meet the growing demand of character recognition of texts embedded in the photos acquired from the non-calibrated hand-held devices, we address the problem in three categorical aspects: rotational invariant method of text region extraction, scale invariant method of text line segmentation, and three dimensional perspective mapping. With the integration of the methods, we developed an OCR for camera-captured images.

MDCT Angiography of the Subclavian Artery Thrombosis of the 3D Findings (쇄골하동맥 혈전증에서의 MDCT 혈관조영술의 3D 영상)

  • Kweon, Dae Cheol
    • Journal of the Korean Society of Radiology
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    • v.12 no.7
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    • pp.813-819
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    • 2018
  • To demonstrate the 3D usefulness of MDCT, a 73-year-old male patient with subclavian thrombosis was obtained 3D images of maximum intensity projection (MIP), volume rendering, and multiplanar reformation (MPR) to clearly detect and locate the subclavian artery. The data will be provided to the patient for diagnosis and treatment. The scan data were acquired as 3D CT images MIP, volume rendering, curved MPR, and virtual endoscopy images. In the 3D program, the ascending aorta was measured as 364.28 HU, the left carotid artery was 413.77 HU, and the left subclavian artery was 15.72 HU. MIP coronal image shows the closure of the subclavian artery in the left side. Three-dimensional volume images were obtained with 100% permeability and 87-1265 HU. The coronal curved MPR and sagittal curved MPR images show the closure of the subclavian artery due to thrombus using 3D image processing. In the case of subclavian arterial occlusion due to thrombosis, the patient is scanned with MDCT and 3D image processing can be used to confirm occlusion of subclavian artery.

Fast Medical Volume Decompression Using GPGPU (GPGPU를 이용한 고속 의료 볼륨 영상의 압축 복원)

  • Kye, Hee-Won
    • Journal of Korea Multimedia Society
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    • v.15 no.5
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    • pp.624-631
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    • 2012
  • For many medical imaging systems, volume datasets are stored as a compressed form, so that the dataset has to be decompressed before it is visualized. Since the decompression process takes quite a long time, we present an acceleration method for medical volume decompression using GPU. Our method supports that both lossy and lossless compression and progressive refinement is possible to satisfy variable user requirements. Moreover, our decompression method is well parallelized for GPU so that the decompression takes a very short time. Finally, we designed that the decompression and volume rendering work in one framework so that the selective decompression is available. As a result, we gained additional improvement in volume decompression.

Algorithm to Improve Accuracy of Location Estimation for AR Games (AR 게임을 위한 위치추정 정확도 향상 알고리즘)

  • Han, Seo Woo;Suh, Doug Young
    • Journal of Broadcast Engineering
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    • v.24 no.1
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    • pp.32-40
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    • 2019
  • Indoor location estimation studies are needed in various fields. The method of estimating the indoor position can be divided into a method using hardware and a method using no hardware. The use of hardware is more accurate, but has the disadvantage of hardware installation costs. Conversely, the non-hardware method is not costly, but it is less accurate. To estimate the location for AR game, you need to get the solution of the Perspective-N-Point (PnP). To obtain the PnP problem, we need three-dimensional coordinates of the space in which we want to estimate the position and images taken in that space. The position can be estimated through six pairs of two-dimensional coordinates matching the three-dimensional coordinates. To further increase the accuracy of the solution, we proposed the use of an additional non-coplanarity degree to determine which points would increase accuracy. As the non-coplanarity degree increases, the accuracy of the position estimation becomes higher. The advantage of the proposed method is that it can be applied to all existing location estimation methods and that it has higher accuracy than hardware estimation.

An Optimized GPU based Filtered Backprojection method (범용 그래픽스 하드웨어 기반 여과후 역투사 최적화 기법에 관한 연구)

  • Park, Jong-Hyun;Lee, Byeong-Hun;Lee, Ho;Shin, Yeong-Gil
    • 한국HCI학회:학술대회논문집
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    • 2009.02a
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    • pp.436-442
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    • 2009
  • Tomography images reconstructed from conebeam CT make it possible to observe inside of the projected object without any damage, and so it has been widely used in the industrial and medical fields. Recent advanced imaging equipment can produce high-resolution CT images. However, it takes much time to reconstruct the obtained large dataset. To reduce the time to reconstruct CT images, we propose an accelerating method using GPU (graphics processing unit). Reconstruction consists of mainly two parts, filtering and back-projection. In filtering phase, we applied 4ch image compression method and in back-projection phase, computation reduction method using depth test is applied. The experimental results show that the proposed method accelerates the speed 50 times than the CPU-based program optimized with OpenMP by utilizing the high-computing power of parallelized GPU.

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An Efficient Algorithm for 3-D Range Measurement using Disparity of Stereoscopic Camera (스테레오 카메라의 양안 시차를 이용한 거리 계측의 고속 연산 알고리즘)

  • 김재한
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.5 no.6
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    • pp.1163-1168
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    • 2001
  • The ranging systems measure range data in three-dimensional coordinate from target surface. These non-contact remote ranging systems is widely used in various automation applications, including military equipment, construction field, navigation, inspection, assembly, and robot vision. The active ranging systems using time of flight technique or light pattern illumination technique are complex and expensive, the passive systems based on stereo or focusing principle are time-consuming. The proposed algorithm, that is based on cross correlation of projection profile of vertical edge, provides advantages of fast and simple operation in the range acquisition. The results of experiment show the effectiveness of the proposed algorithm.

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The Analysis of Position Stone Pagoda Cultural Heritages Using Video Image (비디오 영상을 이용한 석조 문화재 위치 해석)

  • 장호식;서동주;이종출
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.21 no.4
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    • pp.355-363
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    • 2003
  • This paper Non-metric digital video camera against subject of study, stone cultural heritages such as stone pagodas(East & West three storied stone pagoda of dansoksa temple site), and easily acquire still-images which are for analyzing, from moving picture part. When we analyze a location of cultural assets using a Non-metric digital video camera, we could get a accuracy from 1.8mm to 8.3mm. Finally, it can be said that study also suggests the efficient measurement when planning to restore prototype of cultural heritages in the future and providing specific three-dimensional information on them.

Image Noise Removal using State Estimation Filter (상태 추정 필터를 이용한 영상 잡음 제거)

  • Jang, Hoon-Seok
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.15 no.4
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    • pp.237-242
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    • 2022
  • Acquiring high-quality images in control and measurement systems is one of the important factors. Among image acquisition technologies, SFF (Shape from Focus) is a technology for recovering a 3D shape by acquiring 2D images with different focus levels by moving an object at a predetermined step size along the optical axis. For SFF, when an object is moved at a constant step size, mechanical vibration, referred as jitter noise, occurs in each step along the optical axis. In this paper, a new state estimation filter is designed and applied for reducing the jitter noise. For the application of the proposed method, the jitter noise and focus curves are modeled as Gaussian function. Experimental results demonstrate the effectiveness of proposed method.