• 제목/요약/키워드: tomographic image

검색결과 179건 처리시간 0.032초

개선된 FBP 토모그라픽 알고리즘에서 분해능의 결정 (The Determination of Resolution on the Improved FBP Tomographic Algorithm)

  • 구길모;황기환;박치승;고덕영
    • 대한전자공학회논문지TE
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    • 제42권1호
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    • pp.21-28
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    • 2005
  • 본 논문은 토모그라픽 영상시스템에 적합한 FBP 토모그라픽 영상복원 알고리즘의 분해능에 관하여 연구하였다. 고정좌표계를 이용하는 개선된 FBP 토모그라픽 영상복원 알고리즘으로부터 분해능을 분석할 수 있는 모호함수를 유도하였고, 이를 이용한 모의실험을 통하여 얻은 진폭분포로부터 측방향 및 축방향 분해능을 정량적으로 결정하였다. 개선된 FBP 토모그라픽 영상복원 알고리즘을 통해 기존의 SAM(Scanning Acoustic Microscope)시스템으로부터 얻을 수 있는 3dB와 6dB 축방향 분해능에 대해서도 각각 0.70 파장과 0.96 파장으로 SAM 영상의 3dB 축방향 분해능인 7 파장에 비하여 매우 개선된 분해능을 얻을 수 있음을 확인하였다. 평면 입사파의 회절 토모그라픽 영상복원을 위한 개선된 FBP 토모그라픽 영상복원 알고리즘은 미세하고 복잡한 다층 박막구조를 갖는 시료에 대하여 좋은 분해능을 갖는 토모그라픽 영상시스템을 개발하는데 유용하게 활용할 수 있도록 하였다.

Preliminary study of artificial intelligence-based fuel-rod pattern analysis of low-quality tomographic image of fuel assembly

  • Seong, Saerom;Choi, Sehwan;Ahn, Jae Joon;Choi, Hyung-joo;Chung, Yong Hyun;You, Sei Hwan;Yeom, Yeon Soo;Choi, Hyun Joon;Min, Chul Hee
    • Nuclear Engineering and Technology
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    • 제54권10호
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    • pp.3943-3948
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    • 2022
  • Single-photon emission computed tomography is one of the reliable pin-by-pin verification techniques for spent-fuel assemblies. One of the challenges with this technique is to increase the total fuel assembly verification speed while maintaining high verification accuracy. The aim of the present study, therefore, was to develop an artificial intelligence (AI) algorithm-based tomographic image analysis technique for partial-defect verification of fuel assemblies. With the Monte Carlo (MC) simulation technique, a tomographic image dataset consisting of 511 fuel-rod patterns of a 3 × 3 fuel assembly was generated, and with these images, the VGG16, GoogLeNet, and ResNet models were trained. According to an evaluation of these models for different training dataset sizes, the ResNet model showed 100% pattern estimation accuracy. And, based on the different tomographic image qualities, all of the models showed almost 100% pattern estimation accuracy, even for low-quality images with unrecognizable fuel patterns. This study verified that an AI model can be effectively employed for accurate and fast partial-defect verification of fuel assemblies.

Image Reconstruction Techniques for Radioactive Waste Assay by Tomographic Gamma Scanning Method

  • Zhang Quanhu;Kim Ki-Hong;Hong Kwon-Pyo
    • 한국방사성폐기물학회:학술대회논문집
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    • 한국방사성폐기물학회 2005년도 Proceedings of The 6th korea-china joint workshop on nuclear waste management
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    • pp.126-140
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    • 2005
  • The tomographic gamma scanner (TGS) method, a further of extension of segmented gamma scanner (SGS), is most accurate and precise for assaying heterogeneous drummed nuclear radioactive waste; it is widely used in nuclear power plants and radioactive waste storages and disposal sites. The transmission and emission images are reconstructed by image reconstruction techniques. In the paper, the principle of TGS is introduced; image reconstruction techniques are discussed as well; finally, it is demonstrated that TGS method performance.

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Development of de-noised image reconstruction technique using Convolutional AutoEncoder for fast monitoring of fuel assemblies

  • Choi, Se Hwan;Choi, Hyun Joon;Min, Chul Hee;Chung, Young Hyun;Ahn, Jae Joon
    • Nuclear Engineering and Technology
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    • 제53권3호
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    • pp.888-893
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    • 2021
  • The International Atomic Energy Agency has developed a tomographic imaging system for accomplishing the total fuel rod-by-rod verification time of fuel assemblies within the order of 1-2 h, however, there are still limitations for some fuel types. The aim of this study is to develop a deep learning-based denoising process resulting in increasing the tomographic image acquisition speed of fuel assembly compared to the conventional techniques. Convolutional AutoEncoder (CAE) was employed for denoising the low-quality images reconstructed by filtered back-projection (FBP) algorithm. The image data set was constructed by the Monte Carlo method with the FBP and ground truth (GT) images for 511 patterns of missing fuel rods. The de-noising performance of the CAE model was evaluated by comparing the pixel-by-pixel subtracted images between the GT and FBP images and the GT and CAE images; the average differences of the pixel values for the sample image 1, 2, and 3 were 7.7%, 28.0% and 44.7% for the FBP images, and 0.5%, 1.4% and 1.9% for the predicted image, respectively. Even for the FBP images not discriminable the source patterns, the CAE model could successfully estimate the patterns similarly with the GT image.

공간영역에서 코히어런트 단층촬영 기법을 이용한 Born 근사하에 유전체 기둥의 영상제현 (Image Reconstruction of Dielectric Cylinder Under Born Approximation Using a Coherent Tomographic Scheme in the Spatial Domain)

  • 서경환;김상기;김세윤;라정웅
    • 대한전자공학회논문지
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    • 제27권9호
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    • pp.1327-1335
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    • 1990
  • In this paper, using the principle of duality between the spatial and spectral domain, we proposed a new microwave imaging technique of a coherent tomographic formulation in the spatial domain and reconstructed the image of dielectric cylinder through simulation and experiment. The numerical and experimental results for the variety o object size, relative dielectric constant have shown the limitation of Born approximation to be used and the effect of retrieved images for various signal bandwidth.

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두께감육 평가를 위한 비접촉식 초음파 센서 네트워크를 이용한 토모그래프 기술 개발 (Development of Tomograph Technique for Evaluating Thickness Reduction using Noncontact Ultrasonic Sensor Network)

  • 이주민;김용권;박익근
    • 한국생산제조학회지
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    • 제23권1호
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    • pp.27-31
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    • 2014
  • This paper describes a tomographic imaging technique for evaluating the thickness reduction of a plate-like structure using a noncontact sensor network based on an electromagnetic acoustic transducer that generates shear horizontal plate waves. Because this technique is based on the effect of mode cutoff and time of flight of guided waves caused by a change in thickness, the tomographic image provides information on the presence of defects in the structure. To verify the performance of the method, artificial defects with various thickness reduction ratios were machined in an aluminum plate, and the tomographic imaging results are reported. The results show that the generated tomographic image displays the thickness reductions and can identify their locations. Therefore, the proposed technique has good potential as a tool for health monitoring of the integrity of plate-like structures.

단층촬영상에서 계획된 임플랜트 매식 각도 및 위치에 대한 스텐트 핀의 상대적 각도 및 위치에 대한 평가 (The angulation and the position change of the planned implant after tomographic imaging)

  • 강병철
    • Imaging Science in Dentistry
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    • 제37권3호
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    • pp.127-131
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    • 2007
  • Purpose: To measure the differences of the splint pin angulation and the position of the planned implant site after conventional tomographic analysis. Materials and Methods: The angulation and the location of the metal splint pin retained in acrylic stent were compared with the corrected angulation and the location of the implant fixture on the 331 tomographic images. Results: The stent pins were located buccal in 40%, lingual in 10% to the corrected implant site after analysis of the conventional tomographic image. The angle and the location of the maxillary splint pin were mainly directed buccal on incisor and canine regions. The angle and the location of the splint pins in premolar and molar regions needed less corrections in both maxilla and mandible. Conclusions: This study demonstrated that the use of tomographs was essential for successful dental implant planning.

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초음파 회절 토모그라피 영상복원 알고리즘의 분해능 분석 (The Analysis of Resolution on the Image Reconstnlction Algorithms for Ultrasonic Diffraction Tomography)

  • 구길모;황기환
    • 한국음향학회지
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    • 제18권5호
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    • pp.83-90
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    • 1999
  • 본 논문에서는 초음파 회절 토모그라피를 위한 FBP와 BFP 영상복원 알고리즘에 관한 분해능을 연구하였다. 고정좌표계를 사용한 수정된 FBP 영상복원 알고리즘과 평면구조물에 적합한 BFP 영상복원 알고리즘을 이용하여 복원할 수 있는 토모그라픽 영상에 대한 분해능을 분석할 수 있는 모호함수를 유도하고 모의실험을 통하여 얻은 측방향 및 축방향 분해능을 분석하였다. 분석결과, FBP 영상복원 알고리즘에 대한 측방향 및 축방향의 3dB분해능은 각각 0.27파장, 0.70파장을 얻었으며, 또한 BFP 영상복원 알고리즘에 대한 측방향 및 축방향 분해능도 각각 0.39파장과 0.98파장으로 정량적으로 결정하였다. 따라서 본 연구를 통하여 수정된 FBP 영상복원 알고리즘과 BFP 영상복원 알고리즘은 회절 토모그라피를 위한 영상복원에 유용하게 이용할 수 있음을 확인하였다.

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안테나배열을 이용한 콘크리트부재 내부의 비파괴시험과 영상화방법 개발 (Subsurface Imaging Technology For Damage Detection of Concrete Structures Using Microwave Antenna Array)

  • 김유진;최고일;장일영
    • 한국방재학회 논문집
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    • 제5권2호
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    • pp.1-8
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    • 2005
  • 콘크리트 구조물 내부 결함이나 철근 위치를 탐지하기 위하여 초단파를 이용하는 비파괴 시험방법이 구조물 안전진단 분야에서도 최근 관심을 불러일으키고 있다. 본 연구의 목적은 기 개발된 2차원 영상화 방법을 확장하여 3차원 영상처리방법을 개발하는 것이다. 그 방법으로 콘크리트 구조물 내의 결함을 탐지하기 위한 안테나를 구성, 수치적 초점조절시스템을 이용하여 송신부와 수신부의 초점을 동시 조절하여 구조물 내부의 모든 부분을 검색하였다. 또한 다중주파수 방식을 이용, 데이터의 오류를 제거하고 해상도를 향상시켜 구조물 내부의 결함이나 내부모습을 탐지할 수 있는 3차원 영상장치를 개발하고자 하였다. 실험 결과, 데이터 오류를 줄이는 다중주파수방식에 의하여 재현된 영상의 정확성을 검증하고, 주파수 조절방법에 의하여 $4{\times}4$ 안테나배열을 설계함으로써 5.2 GHz에서 주파수대역의 우수한 투과성능을 입증하였다. 즉 본 연구에서 개발된 슬롯안테나는 파동의 방사기능과 주파수대역의 넓이 등에서 구조부재의 결함탐지에 이용될 수 있음을 검증하였다.

Development of Two Dimensional Filter for the Reconstructive Image Processing

  • Lee, Hwang-Soo
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1979년도 하계 전자.전기연합학술발표회논문집
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    • pp.164-165
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    • 1979
  • Two dimensional kernels which reconstruct the tomographic image from the blurred one formed by simple back-projection are investigated and their performances are compared. These kernels are derived from tile point spread function of the tomographic system and have the form of a ramp filter modified by several window functions to suppress ringing in the reconstruction. Computer simulation using a computer generated phantom image data with different correction functions(kernels) has been carried out. In this simulation, filtering in frequency domain by 2-D FFT technique or in space domain by 2-D direct convolution is considered. It is found that the-computation time required for real space convolution technique is much larger than that of Fourier 2-D filtering technique in the pratical situation.

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