• 제목/요약/키워드: X-Ray Tomography

검색결과 796건 처리시간 0.03초

Wavelet을 이용한 CT 3차원 뇌혈관에서의 노이즈 제거 필터 구현 (Wavelet-based Noise reduction filter for 3-dimensional Computed Tomography brian angiography)

  • 성열훈;박현재;강행봉
    • 한국정보과학회:학술대회논문집
    • /
    • 한국정보과학회 2005년도 가을 학술발표논문집 Vol.32 No.2 (2)
    • /
    • pp.859-861
    • /
    • 2005
  • X-ray를 이용한 CT(Computed Tomography : 이하 CT)영상은 사물에 대해 회전하면서 X-ray가 투과하여 감약 정도에 따라서 영상을 획득하지만 검사 목적과는 관계없이 발생되는 통계적인 오차로 인해 정확한 CT영상의 구성을 교란하거나 방해하여 영상의 질을 저하시키고 미세 부분의 관찰 능력을 감소시키는 장해 음영인 아티팩트(artifact)라는 노이즈가 발생한다. 이러한 노이즈를 제거하는 필터를 설계 할 때는 두 가지 고려해야 할 사항이 있는데 첫째는 영상내의 노이즈을 정확히 판단하여 효과적으로 제거해야 하며, 둘째로는 원래의 영상에 가깝도록 경계와 같은 세부 영역을 보존해야 한다는 점이다. 기존에는 mean 필터나 median 필터, 그리고 Gaussian 필터 등을 사용했지만 상세한 부분을 보존하기에는 실패하는 단점이 있다. 따라서 본문에서는 wavelet 변환을 하여 영상의 주파수 대역을 저주파 영역과 고주파 영역으로 분리하여 각각의 영역에서 노이즈를 제거할 수 있도록 적합한 필터를 설계하고 방법을 제안하여 그 필터를 CT 3차원 뇌혈관 영상에 적용하여 많은 노이즈를 제거하였고 낮은 Threshold값에서도 작은 혈관을 관찰 할 수 있었다.

  • PDF

Study on rock fracture behavior under hydromechanical loading by 3-D digital reconstruction

  • Kou, Miaomiao;Liu, Xinrong;Wang, Yunteng
    • Structural Engineering and Mechanics
    • /
    • 제74권2호
    • /
    • pp.283-296
    • /
    • 2020
  • The coupled hydro-mechanical loading conditions commonly occur in the geothermal and petroleum engineering projects, which is significantly important influence on the stability of rock masses. In this article, the influence of flaw inclination angle of fracture behaviors in rock-like materials subjected to both mechanical loads and internal hydraulic pressures is experimentally studied using the 3-D X-ray computed tomography combined with 3-D reconstruction techniques. Triaxial compression experiments under confining pressure of 8.0 MPa are first conducted for intact rock-like specimens using a rock mechanics testing system. Four pre-flawed rock-like specimens containing a single open flaw with different inclination angle under the coupled hydro-mechanical loading conditions are carried out. Then, the broken pre-flawed rock-like specimens are analyzed using a 3-D X-ray computed tomography (CT) scanning system. Subsequently, the internal damage behaviors of failed pre-flawed rock-like specimens are evaluated by the 3-D reconstruction techniques, according to the horizontal and vertical cross-sectional CT images. The present experimental does not only focus on the mechanical responses, but also pays attentions to the internal fracture characteristics of rock-like materials under the coupled hydro-mechanical loading conditions. The conclusion remarks are significant for predicting the rock instability in geothermal and unconventional petroleum engineering.

매모그램 구조의 전기저항 영상법에서 정방향 모델의 고유전류 계산 알고리즘 (An Algorithm for Computing Eigen Current of Forward Model of Mammography Geometry for EIT)

  • 최명환
    • 산업기술연구
    • /
    • 제27권B호
    • /
    • pp.91-96
    • /
    • 2007
  • Electrical impedance tomography (EIT) is a technique for determining the electrical conductivity and permittivity distribution within the interior of a body from measurements made on its surface. One recent application area of the EIT is the detection of breast cancer by imaging the conductivity and permittivity distribution inside the breast. The present standard for breast cancer detection is X-ray mammography, and it is desirable that EIT and X-ray mammography use the same geometry. A forward model of a simplified mammography geometry for EIT imaging was proposed earlier. In this paper, we propose an iterative algorithm for computing the current pattern that will be applied to the electrodes. The current pattern applied to the electrodes influences the voltages measured on the electrodes. Since the measured voltage data is going to be used in the impedance imaging computation, it is desirable to apply currents that result in the largest possible voltage signal. We compute the eigenfunctions for a homogenous medium that will be applied as current patterns to the electrodes. The algorithm for the computation of the eigenfunctions is presented. The convergence of the algorithm is shown by computing the eigencurrent of the simplified mammography geometry.

  • PDF

Assessment of DVC measurement uncertainty on GFRPs with various fiber architectures

  • Bartulovic, Ante;Tomicevic, Zvonimir;Bubalo, Ante;Hild, Francois
    • Coupled systems mechanics
    • /
    • 제11권1호
    • /
    • pp.15-32
    • /
    • 2022
  • The comprehensive understanding of the fiber reinforced polymer behavior requires the use of advanced non-destructive testing methods due to its heterogeneous microstructure and anisotropic mechanical proprieties. In addition, the material response under load is strongly associated with manufacturing defects (e.g., voids, inclusions, fiber misalignment, debonds, improper cure and delamination). Such imperfections and microstructures induce various damage mechanisms arising at different scales before macrocracks are formed. The origin of damage phenomena can only be fully understood with the access to underlying microstructural features. This makes X-ray Computed Tomography an appropriate imaging tool to capture changes in the bulk of fibrous materials. Moreover, Digital Volume Correlation (DVC) can be used to measure kinematic fields induced by various loading histories. The correlation technique relies on image contrast induced by microstructures. Fibrous composites can be reinforced by different fiber architectures that may lead to poor natural contrast. Hence, a priori analyses need to be performed to assess the corresponding DVC measurement uncertainties. This study aimed to evaluate measurement resolutions of global and regularized DVC for glass fiber reinforced polymers with different fiber architectures. The measurement uncertainties were evaluated with respect to element size and regularization lengths. Even though FE-based DVC could not reach the recommended displacement uncertainty with low spatial resolution, regularized DVC enabled for the use of fine meshes when applying appropriate regularization.

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

  • 박지민;김광염;윤태섭
    • 한국지반공학회논문집
    • /
    • 제39권8호
    • /
    • pp.17-28
    • /
    • 2023
  • 본 연구에서는 화강암 시편을 대상으로 파쇄 유체의 점성과 주입 속도를 변화시키며 실내 수압 파쇄 실험을 수행하였고, 3D X-ray CT 촬영을 통해 파쇄 후 시편 내부를 관찰하였다. 이미지 처리에 탁월한 성능을 보이는 합성곱 신경망(Convolutional Neural Network, CNN) 기반 Nested U-Net 모델 구조를 활용하여 CT 이미지 내 수압 파쇄 균열 추출을 수행하였고, 복잡한 형상의 미세균열을 정교하게 추출할 수 있었다. CNN 기반 모델로 추출된 균열을 3차원으로 재구성하여 균열의 부피, 두께, 굴곡도, 균열면 거칠기를 분석하였다. 그 결과 파쇄 유체의 점성이 클수록 균열 부피와 두께가 증가하였고, 굴곡도와 균열면의 거칠기가 감소하는 경향을 보였다. 또한 균열면의 굴곡도와 거칠기 이방성이 존재함을 확인할 수 있었다. 본 연구는, CNN 기반의 균열 추출 모델을 활용해 전통적인 이미지 처리 방법보다 정교한 균열 추출을 수행하고, 이를 기반으로 수압 파쇄 균열의 정량 분석을 성공적으로 수행하였다.

Observation of reinforcing fibers in concrete upon bending failure by X-ray computed tomographic imaging

  • Seok Yong Lim;Kwang Soo Youm;Kwang Yeom Kim;Yong-Hoon Byun;Young K. Ju;Tae Sup Yun
    • Computers and Concrete
    • /
    • 제31권5호
    • /
    • pp.433-442
    • /
    • 2023
  • This study presents the visually observed behavior of fibers embedded in concrete samples that were subjected to a flexural bending test. Three types of fibers such as macro polypropylene, macro polyethylene, and the hybrid of steel and polyvinyl alcohol were mixed with cement by a designated mix ratio to prepare a total of nine specimens of each. The bending test was conducted by following ASTM C1609 with a net deflection of 2, 4, and 7 mm. The X-ray computed tomography (XCT) was carried out for 7 mm-deflection specimens. The original XCT images were post-processed to denoise the beam-hardening effect. Then, fiber, crack, and void were semi-manually segmented. The hybrid specimen showed the highest toughness compared to the other two types. Debonding based on 2D XCT sliced images was commonly observed for all three groups. The cement matrix near the crack surface often involved partially localized breakage in conjunction with debonding. The pullout was predominant for steel fibers that were partially slipped toward the crack. Crack bridging and rupture were not found presumably due to the image resolution and the level of energy dissipation for poly-fibers, while the XCT imaging was advantageous in evaluating the distribution and behavior of various fibers upon bending for fiber-reinforced concrete beam elements.

6MV X-선과 전산화 단층 촬영상을 이용한 뇌하수체 종양 치료계획 (Three Dimensional Dose Planning Using 6MV X-ray and Multiaxial Computed Tomography for Pituitary Adenoma)

  • 이명자;최태진
    • Radiation Oncology Journal
    • /
    • 제3권1호
    • /
    • pp.59-64
    • /
    • 1985
  • Computation of three dimensional dose distribution using CT image and RT plan was applied to a case of pituitary adenoma. Algorithm was based on two dimensional Tissue Maximun Ratio model extended to the third dimension. The resulting isodose curve of transeverse, coronal and sagittal section was demonstrated. This RT plan allows computation of dose distribution in any arbitarily defined plane in addition to conventional cross sectional view.

  • PDF

진단 엑스선 영상에서 환자 위치잡이의 자동화 (Auto-Positioning of Patient in X-ray Diagnostic Imaging)

  • 양원석;손정민;천권수
    • 한국방사선학회논문지
    • /
    • 제12권6호
    • /
    • pp.793-799
    • /
    • 2018
  • 인공지능에 대한 관심이 높아짐에 따라 의료분야에서도 활발하게 인공지능이 연구되고 있다. 현재 국내에서는 엑스선 촬영, 컴퓨터단층촬영(Computer Tomography), 자기공명영상(Magnetic Resonance Imaging) 등의 의료영상장치에 인공지능이 접목되고 있으며 향후 방사선사 없이 환자의 방사선 영상을 획득 할 수 있는 인공지능을 탑재한 의료기기가 발명 될 것으로 예상된다. 본 연구는 엑스선 촬영에 있어서 환자 위치잡이에 대한 자동화에 대해서 초기 연구를 했다. 위치잡이에 대한 평가를 위해 엑스선 장비와 인체 팬텀을 사용했다. 프로그램은 Visual Studio 2010 MFC로 구현했으며 영상은 $1,450{\times}1,814$ 크기로 했다. 픽셀 값을 눈으로 식별 가능한 0 ~ 255 값을 갖는 명암으로 변환하여 모니터에 출력했다. 출력한 영상에 세 픽셀 좌표 값을 통해 각도를 예측하고 각도에 따른 음성안내에 따라 환자가 바른 위치잡이를 하도록 유도하는 절차 알고리즘 프로그램을 개발 했다. 다음 연구에서는 사용자가 좌표의 기준을 인공지능에게 전달하는 것이 아닌 인공지능 스스로 구조물을 파악하여 각도를 계산하는 연구를 진행할 것이다. 향후 위치잡이의 자동화를 통해 촬영부터 위치잡이까지 인공지능이 실시하도록 하는 연구에 도움이 될 것으로 예상된다.

Clinical Comparison of the Predictive Value of the Simple Skull X-Ray and 3 Dimensional Computed Tomography for Skull Fractures of Children

  • Kim, Young-Im;Cheong, Jong-Woo;Yoon, Soo Han
    • Journal of Korean Neurosurgical Society
    • /
    • 제52권6호
    • /
    • pp.528-533
    • /
    • 2012
  • Objective : In the pediatric population the skull has not yet undergone ossification and it is assumed that the diagnostic rate of skull fractures by simple X-rays are lower than that of adults. It has been recently proposed that the diagnostic rates of skull fractures by 3-dimensional computer tomography (3D-CT) are higher than simple X-rays. The authors therefore attempted to compare the diagnostic rates of pediatric skull fractures by simple X-rays and 3D-CTs with respect to the type of fracture. Methods : One-hundred patients aged less than 12 years who visited the Emergency Center for cranial injury were subject to simple X-rays and 3D-CTs. The type and location of the fractures were compared and Kappa statistical analysis and the t-test were conducted. Results : Among the 100 pediatric patients, 65 were male and 35 were female. The mean age was $50{\pm}45$ months. 63 patients had simple skull fractures and 22 had complex fractures, and the types of fractures were linear fractures in 74, diastatic fractures 15, depressed fractures in 10, penetrating fracture in 1, and greenstick fractures in 3 patients. Statistical difference was observed for the predictive value of simple skull fractures' diagnostic rate depending on the method for diagnosis. A significant difference of the Kappa value was noted in the diagnosis of depressed skull fractures and diastatic skull fractures. Conclusion : In the majority of pediatric skull fractures, 3D-CT showed superior diagnosis rates compared to simple skull X-rays and therefore 3D-CT is recommended whenever skull fractures are suspected. This is especially true for depressed skull fractures and diastatic skull fractures.

Identification and Three-Dimensional Characterization of Micropore Networks Developed in Granite using Micro-Focus X-ray CT

  • Choo, Chang-Oh;Takahashi, Manabu;Jeong, Gyo-Cheol
    • 지질공학
    • /
    • 제24권2호
    • /
    • pp.179-189
    • /
    • 2014
  • We analyzed the three-dimensional distribution of micropores and internal structures in both fresh and weathered granite using micro-focus X-ray computed tomography (micro-CT). Results show that the pore radius in fresh granite is mostly in the range of $17-50{\mu}m$, the throat radius is in the range of $5-25{\mu}m$, and the coordination number (CN) of pores is less than 10. In contrast, the pore radius in weathered granite is mostly in the range of $20-80{\mu}m$, the throat radius is in the range of $8-30{\mu}m$, and the CN is less than 12. In general, a positive linear relationship exists between pore radius and CN. In addition, both the size and the density of pores increase with an increasing degree of rock weathering. The size of the throats that connect the pores also increases with an increasing degree of weathering, which induces fracture propagation in rocks. Micro-CT is a powerful and versatile approach for investigating the three-dimensional distributions of pores and fracture structures in rocks, and for quantitatively assessing the degree of pore connectivity.