• Title/Summary/Keyword: Tomography, X-Ray

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A Study on the Parallel Processing Architecture for the Real Time Image Reconstruction of X-ray CT (X-ray CT의 실시간 영상재구성을 위한 병렬처리 구조에 관한 연구)

  • Jin, Seung-Oh;Heo, Chang-Won;Huh, Young
    • Proceedings of the KIEE Conference
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    • 1999.07g
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    • pp.3153-3155
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    • 1999
  • 최근 수년간 의료영상분야는 국내외적으로 급격한 발전을 거듭하고 있다. 특히 자기공명영상장치 (Magnetic Resonance Imaging), X-ray CT(Computed Tomography)와 단층촬영장치는 인체내부를 비침습적(non-invasive)으로 영상화함으로써 해부학적인 질병진단에 많은 장점을 가지고 있다. 이와같은 단층영상 재구성에는 역매트릭스법(matrix inversion). 반복재구성법(interative method), 역투영 법(back-projection), 2차원 Fourier 변환법(2D FFT), 중첩재구성법(Filtered back-projection) 등의 다양한 알고리즘을 사용하고 있다. 본 연구에서는 X-ray CT에서의 단층영상재구성 기법 중 널리 사용되고 있는 Filtered Back Projection 기법의 연산순서도와 연산량을 분석하고 이를 시뮬레이션을 통하여 확인하고 실시간 영상재구성을 위하여 범용 Digital Signal Processor의 병렬처리시스템 구성에 기반된 최적 Architecture를 선정하고자 한다.

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Lightweight Convolutional Neural Network (CNN) based COVID-19 Detection using X-ray Images

  • Khan, Muneeb A.;Park, Hemin
    • Journal of Multimedia Information System
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    • v.8 no.4
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    • pp.251-258
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    • 2021
  • In 2019, a novel coronavirus (COVID-19) outbreak started in China and spread all over the world. The countries went into lockdown and closed their borders to minimize the spread of the virus. Shortage of testing kits and trained clinicians, motivate researchers and computer scientists to look for ways to automatically diagnose the COVID-19 patient using X-ray and ease the burden on the healthcare system. In recent years, multiple frameworks are presented but most of them are trained on a very small dataset which makes clinicians adamant to use it. In this paper, we have presented a lightweight deep learning base automatic COVID-19 detection system. We trained our model on more than 22,000 dataset X-ray samples. The proposed model achieved an overall accuracy of 96.88% with a sensitivity of 91.55%.

Density Profile Evaluation of Needle-punched Carbon/Carbon Composites Nozzle Throat by the Computed Tomography (전산화 단층촬영에 의한 니들펀칭 탄소/탄소 복합재료 노즐 목삽입재의 밀도 분포 평가)

  • Kim Dong-Ryun;Yun Nam-Gyun;Lee Jin-Yong
    • Journal of the Korean Society of Propulsion Engineers
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    • v.10 no.1
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    • pp.44-53
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    • 2006
  • In this study, the non-destructive computed tomography was adopted to observe the density profile of the needle-punched Carbon/Carbon(C/C) composites nozzle throat. The density profile of C/C was evaluated within ${\pm}0.01g/cm^3$ with 98.74% confidence when the correction of the image and high signal-to-noise ratio were achieved by the optimization of the beam hardening, the electrical noise and the scattered X-ray. The density variation of C/C with the computed tomography was in good agreement with the results obtained by the water immersion method and the observation with scanning electron microscope.

Experimental Study on the Dynamic Damage Mechanism of Rocks Under Different Impact Loadings (단계적 충격하중에 의한 암석의 동적손상메커니즘에 관한 실험적 연구)

  • Cho, Sang-Ho;Jo, Seul-Ki;Ki, Seung-Kon;Park, Chan;Kaneko, Katsuhiko
    • Tunnel and Underground Space
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    • v.19 no.6
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    • pp.545-557
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    • 2009
  • In order to investigate dynamic damage mechanism of brittle materials, Split Hopkinson Pressure Bar (SHPB) have been adapted to apply different impact levels to rocks in South Korea. High resolution X-ray Computed Tomography (CT) was used to estimate the damage in tested rock samples nondestructively. The cracks which are parallel to the loading axis are visible on the contact surface with the incident bar under lower level of impact. The surface cracks disappeared with increment of impact level due to confined effect between the incident bar and sample, while axial splitting are happened near the outer surface.

Hybrid model-based and deep learning-based metal artifact reduction method in dental cone-beam computed tomography

  • Jin Hur;Yeong-Gil Shin;Ho Lee
    • Nuclear Engineering and Technology
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    • v.55 no.8
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    • pp.2854-2863
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    • 2023
  • Objective: To present a hybrid approach that incorporates a constrained beam-hardening estimator (CBHE) and deep learning (DL)-based post-refinement for metal artifact reduction in dental cone-beam computed tomography (CBCT). Methods: Constrained beam-hardening estimator (CBHE) is derived from a polychromatic X-ray attenuation model with respect to X-ray transmission length, which calculates associated parameters numerically. Deep-learning-based post-refinement with an artifact disentanglement network (ADN) is performed to mitigate the remaining dark shading regions around a metal. Artifact disentanglement network (ADN) supports an unsupervised learning approach, in which no paired CBCT images are required. The network consists of an encoder that separates artifacts and content and a decoder for the content. Additionally, ADN with data normalization replaces metal regions with values from bone or soft tissue regions. Finally, the metal regions obtained from the CBHE are blended into reconstructed images. The proposed approach is systematically assessed using a dental phantom with two types of metal objects for qualitative and quantitative comparisons. Results: The proposed hybrid scheme provides improved image quality in areas surrounding the metal while preserving native structures. Conclusion: This study may significantly improve the detection of areas of interest in many dentomaxillofacial applications.

Photon-Counting Detector CT: Key Points Radiologists Should Know

  • Andrea Esquivel;Andrea Ferrero;Achille Mileto;Francis Baffour;Kelly Horst;Prabhakar Shantha Rajiah;Akitoshi Inoue;Shuai Leng;Cynthia McCollough;Joel G. Fletcher
    • Korean Journal of Radiology
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    • v.23 no.9
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    • pp.854-865
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    • 2022
  • Photon-counting detector (PCD) CT is a new CT technology utilizing a direct conversion X-ray detector, where incident X-ray photon energies are directly recorded as electronical signals. The design of the photon-counting detector itself facilitates improvements in spatial resolution (via smaller detector pixel design) and iodine signal (via count weighting) while still permitting multi-energy imaging. PCD-CT can eliminate electronic noise and reduce artifacts due to the use of energy thresholds. Improved dose efficiency is important for low dose CT and pediatric imaging. The ultra-high spatial resolution of PCD-CT design permits lower dose scanning for all body regions and is particularly helpful in identifying important imaging findings in thoracic and musculoskeletal CT. Improved iodine signal may be helpful for low contrast tasks in abdominal imaging. Virtual monoenergetic images and material classification will assist with numerous diagnostic tasks in abdominal, musculoskeletal, and cardiovascular imaging. Dual-source PCD-CT permits multi-energy CT images of the heart and coronary arteries at high temporal resolution. In this special review article, we review the clinical benefits of this technology across a wide variety of radiological subspecialties.

Defect Detection of Brazing Joint in Heat Exchanger Using X-ray Image (X-선을 이용한 열교환기 브레이징 접합부 결함 검출)

  • Kim, Jin-Young;Seo, Sang-Woo
    • Journal of Institute of Control, Robotics and Systems
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    • v.17 no.10
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    • pp.1044-1050
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    • 2011
  • The quality of brazing joints is one of the most important factors that have an effect on the performance of the brazing joint-based heat exchangers with the growing use in industry recently. Therefore, it is necessary to inspect the brazing joints in order to guarantee the performance of the heat exchangers. This paper presents a non-destructive method to inspect the brazing joints of the heat exchangers using X-ray. Firstly, X-ray cross-sectional images of the brazing joints are obtained by using CT (Computerized Tomography) technology. Cross-sectional image from CT is more useful to detect the inner defects than the traditional transmitted X-ray image. Secondly, the acquired images are processed by an algorithm proposed for the defect detection of brazing joint. Finally, two types of brazing joint are examined in a series of experiments to detect the defects in brazing joints. The experimental results show that the proposed algorithm is effective for defect detection of the brazing joints in heat exchangers.

Advanced Nanoscale Characterization of Cement Based Materials Using X-Ray Synchrotron Radiation: A Review

  • Chae, Sejung R.;Moon, Juhyuk;Yoon, Seyoon;Bae, Sungchul;Levitz, Pierre;Winarski, Robert;Monteiro, Paulo J.M.
    • International Journal of Concrete Structures and Materials
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    • v.7 no.2
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    • pp.95-110
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    • 2013
  • We report various synchrotron radiation laboratory based techniques used to characterize cement based materials in nanometer scale. High resolution X-ray transmission imaging combined with a rotational axis allows for rendering of samples in three dimensions revealing volumetric details. Scanning transmission X-ray microscope combines high spatial resolution imaging with high spectral resolution of the incident beam to reveal X-ray absorption near edge structure variations in the material nanostructure. Microdiffraction scans the surface of a sample to map its high order reflection or crystallographic variations with a micron-sized incident beam. High pressure X-ray diffraction measures compressibility of pure phase materials. Unique results of studies using the above tools are discussed-a study of pores, connectivity, and morphology of a 2,000 year old concrete using nanotomography; detection of localized and varying silicate chain depolymerization in Al-substituted tobermorite, and quantification of monosulfate distribution in tricalcium aluminate hydration using scanning transmission X-ray microscopy; detection and mapping of hydration products in high volume fly ash paste using microdiffraction; and determination of mechanical properties of various AFm phases using high pressure X-ray diffraction.

Development of Next Medical Imaging System beyond MRI (POST MRI 시대를 위한 3차원 차세대 의료영상기술 개발)

  • Hong, H.B.;Shin, S.W.;Park, J.H.
    • Electronics and Telecommunications Trends
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    • v.29 no.5
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    • pp.96-104
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    • 2014
  • 1895년 독일 과학자 Wilhelm Roentgen 박사가 X-ray를 발견하고 미국의 Herman Carr가 MRI(Magnetic Resonance Imaging)의 기본 원리를 개발하여 발표한 이후 전자기장을 이용한 비침습적 의료영상 이미지 시스템은 놀라운 발전을 계속하여 왔다. 하지만, X-ray, CT(Computed Tomography), PET(Positron Emission Tomography)의 경우는 방사능의 사용과 조영제의 독성이라는 문제로 인하여 안전성에 대한 계속적인 문제를 야기해왔고 상대적으로 안전성이 입증된 MRI의 경우는 장비 자체 및 운용비가 일반화되기에는 고가여서 우리나라를 포함한 선진국에서도 아주 제한적으로 운영되고 있는 실정이다. 따라서, 세계적으로도 이러한 문제를 해결하기 위하여 안전하면서도 상대적으로 저렴한 비용으로 운용이 가능한 의료영상장비를 개발하기 위하여 많은 노력들이 경주되고 있어 관련 연구동향 및 산업화 동향을 소개하고자 한다.

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System Resolution Recovery by Motion Blur Recovery Technique - Particuar Application to X-ray Computerized Tomography (이동 Blur 회복법을 이용한 분해능 향상-X-ray C.T.에의 응용)

  • 이수영;김홍석
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.17 no.3
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    • pp.26-35
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    • 1980
  • The degradation of image due to the finite size of sensing devices has been one of the problems in all digital imaging systems. The basic study on the improvement of the spatial resolution was carried out in both spatial and frequency domains by the resolution recovery techniques which have been used in optics. Here, the techniques were applied to CT (Computerized Tomography) system, and image with finer resolution was obtained by these techniques. The basic theory is described and the results of the simulation are shown.

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