• Title/Summary/Keyword: 전산화단층촬영영상

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Use of Coronary CT Angiography as a Screening Tool for Coronary Artery Disease in Asymptomatic Healthy Individuals or Patients (무증상 정상인 또는 환자의 관상동맥 질환 선별 검사로서 관상동맥 전산화단층촬영 혈관조영술의 유용성)

  • Gong Yong Jin
    • Journal of the Korean Society of Radiology
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    • v.83 no.1
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    • pp.54-69
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    • 2022
  • Early detection of potential asymptomatic coronary artery disease is very important, as patients with sudden cardiac death often do not show symptoms such as chest pain or motor dyspnea. Coronary CT angiography (CCTA) has long been unjustified as a screening tool for asymptomatic patients because of the risks posed by radiation exposure. However, there are still various opinions regarding the usefulness of CCTA for screening for coronary artery disease (CAD) in asymptomatic healthy individuals or patients. This review investigated the usefulness of coronary artery calcium score and CCTA as screening tests for CAD in asymptomatic healthy individuals or patients through various literature reviews. With the development of CT technology, recent studies have been conducted in asymptomatic CAD patients with a reduced radiation dose of less than 1 mSv. A total of 2.6% of asymptomatic subjects on CCTA found significant CAD over 70%, and it was concluded that screening CCTA for CAD showed prognostic power in predicting the future occurrence of CAD in asymptomatic people. However, after the completion of the current NIH SCOT-HEART 2 study, it may be possible to determine whether CCTA is appropriate as a screening tool for CAD in asymptomatic healthy individuals.

Neuroimaging of Traumatic Brain Injury (외상성 뇌손상의 영상진단)

  • Choi, Woo Suk
    • Korean Journal of Biological Psychiatry
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    • v.2 no.2
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    • pp.169-176
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    • 1995
  • 두부 외상은 많은 발생율과 사망율을 차지하고 있으며, 건강한 생활을 위해 큰 관심을 갖게 되었다. 신경방사선영상은 외상성 뇌손상 환자들의 진단과 치료에 필수적인 방법이다. 뇌손상의 기본 기전, 병리, 그리고 영상 소견을 이해 하는 것은 매우 중요하다. 1970년대에 Glasgow coma scale의 형상과 전산화단층촬영(CT)의 발달은 임상의사들이 두부외상에 대한 평가와 환자들의 경과를 예상하는데 극적인 변화를 주었다. 최근 자기공명영상(MRI)의 발달로 외상성 뇌손상의 형태를 더욱 이해 하게 되었고, 두부 외상의 발견율이 높아지게 되었다.

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CT and MRI Image Fusion Reproducibility and Dose Assessment on Treatment Planning System (치료계획시스템에서 전산화단층촬영과 자기공명영상의 영상융합 재현성 및 선량평가)

  • Choi, Jae-Hyock;Park, Cheol-Soo;Seo, Jeong-Min;Cho, Jae-Hwan;Choi, Cheon-Woong
    • Journal of the Korean Magnetics Society
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    • v.24 no.6
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    • pp.191-196
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    • 2014
  • The purpose of this study is to evaluate the reproducibility and usefulness of an image through the fusion of the computed tomography image and the magnetic resonance image by using a self-produced phantom when planning the treatment, and also to compare and analyze the target dose on the acquired image. The size of small hole and the reproducibility of capacity existed in the phantom on the image of the phantom obtained by the computed tomography and the magnetic resonance image of the phantom scanning with different intensity of magnetic field are compared, and the change of dose in the random target is compared and analyzed.

Image Quality Evaluation in Computed Tomography Using Super-resolution Convolutional Neural Network (Super-resolution Convolutional Neural Network를 이용한 전산화단층상의 화질 평가)

  • Nam, Kibok;Cho, Jeonghyo;Lee, Seungwan;Kim, Burnyoung;Yim, Dobin;Lee, Dahye
    • Journal of the Korean Society of Radiology
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    • v.14 no.3
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    • pp.211-220
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    • 2020
  • High-quality computed tomography (CT) images enable precise lesion detection and accurate diagnosis. A lot of studies have been performed to improve CT image quality while reducing radiation dose. Recently, deep learning-based techniques for improving CT image quality have been developed and show superior performance compared to conventional techniques. In this study, a super-resolution convolutional neural network (SRCNN) model was used to improve the spatial resolution of CT images, and image quality according to the hyperparameters, which determine the performance of the SRCNN model, was evaluated in order to verify the effect of hyperparameters on the SRCNN model. Profile, structural similarity (SSIM), peak signal-to-noise ratio (PSNR), and full-width at half-maximum (FWHM) were measured to evaluate the performance of the SRCNN model. The results showed that the performance of the SRCNN model was improved with an increase of the numbers of epochs and training sets, and the learning rate needed to be optimized for obtaining acceptable image quality. Therefore, the SRCNN model with optimal hyperparameters is able to improve CT image quality.

Application of Computer-Aided Diagnosis for the Differential Diagnosis of Fatty Liver in Computed Tomography Image (전산화단층촬영 영상에서 지방간의 감별진단을 위한 컴퓨터보조진단의 응용)

  • Park, Hyong-Hu;Lee, Jin-Soo
    • Journal of the Korean Society of Radiology
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    • v.10 no.6
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    • pp.443-450
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    • 2016
  • In this study, we are using a computer tomography image of the abdomen, as an experimental linear research for the image of the fatty liver patients texture features analysis and computer-aided diagnosis system of implementation using the ROC curve analysis, from the computer tomography image. We tried to provide an objective and reliable diagnostic information of fatty liver to the doctor. Experiments are usually a fatty liver, via the wavelet transform of the abdominal computed tomography images are configured with the experimental image section, shows the results of statistical analysis on six parameters indicating a feature value of the texture. As a result, the entropy, average luminance, strain rate is shown a relatively high recognition rate of 90% or more, the control also, flatness, uniformity showed relatively low recognition rate of about 70%. ROC curve analysis of six parameters are all shown to 0.900 (p = 0.0001) or more, showed meaningful results in the recognition of the disease. Also, to determine the cut-off value for the prediction of disease six parameters. These results are applicable from future abdominal computed tomography images as a preliminary diagnostic article of diseases automatic detection and eventual diagnosis.

Density Profile Measurement of Needle-punched Carbon/Carbon Nozzle Throat by the Analysis of Computed Tomography Image (전산화 단층촬영 영상 분석에 의한 탄소/탄소 목삽입재의 밀도 분포 측정)

  • Kim Dong-Ryun;Yun Nam-Gyun;Lee Jin-Yong
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2005.11a
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    • pp.469-474
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    • 2005
  • Tn this study, the noll-destructive computed X-ray tomography was adopted to observe the density distribution of the needle-punched C-C composites nozzle throat. The density distribution of the 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 the 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.

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Removal of Ring Artifact in Computed Tomography (전산화단층촬영장치에서 링 아티팩트 제거)

  • Chon, Kwon Su
    • Journal of the Korean Society of Radiology
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    • v.9 no.6
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    • pp.403-408
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    • 2015
  • Hard X-ray has been widely used in medical and industrial fields because it can be applied to observe the inside of a sample. Computed tomography provides sectional images of the sample through the reconstruction of the projection images. The quality of sectional images strongly depends on that of projection images. Ring artifact appeared on the seconal image can be made by the abnormal pixels of the detector used. In this study, we examine the ring artifact ratio in the circle phantom as a function of detection error of the detector used in computed tomography. The ring artifact increased with the increment of detection error under parallel and fan beam geometries and strongly increased near the center of rotation. The corrections, dead pixel and flat field corrections, for the images taken with the detector are required before the image reconstruction process to reduce the ring artifact in the computed tomography.

CT Findings of Central Airway Lesions Causing Airway Stenosis-Visualization and Quantification: A Pictorial Essay (협착을 유발하는 중심 기관지 병변들의 전산화단층촬영 소견-시각화 및 정량화: 임상화보)

  • Myeong Jin Choi;Hee Kang
    • Journal of the Korean Society of Radiology
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    • v.82 no.6
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    • pp.1441-1476
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    • 2021
  • The tracheobronchial tree is a system of airways that allows the passage of air to aerate the lungs and entire body. Several pathological conditions can affect this anatomical region. Multidetector CT (MDCT) helps identify and characterize various large airway diseases. Post-processing tools, such as virtual bronchoscopy and automatic lung analysis, can help enhance the performance of imaging studies. In this pictorial essay review, we provide imaging findings of various bronchial lesions manifested as wall thickening and endoluminal nodules on conventional MDCT and advanced image visualization and analysis.

CT Simulation Technique for Craniospinal Irradiation in Supine Position (전산화단층촬영모의치료장치를 이용한 배와위 두개척수 방사선치료 계획)

  • Lee, Suk;Kim, Yong-Bae;Kwon, Soo-Il;Chu, Sung-Sil;Suh, Chang-Ok
    • Radiation Oncology Journal
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    • v.20 no.2
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    • pp.165-171
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    • 2002
  • Purpose : In order to perform craniospinal irradiation (CSI) in the supine position on patients who are unable to lie in the prone position, a new simulation technique using a CT simulator was developed and its availability was evaluated. Materials and Method : A CT simulator and a 3-D conformal treatment planning system were used to develop CSI in the supine position. The head and neck were immobilized with a thermoplastic mask in the supine position and the entire body was immobilized with a Vac-Loc. A volumetrie image was then obtained using the CT simulator. In order to improve the reproducibility of the patients' setup, datum lines and points were marked on the head and the body. Virtual fluoroscopy was peformed with the removal of visual obstacles such as the treatment table or the immobilization devices. After the virtual simulation, the treatment isocenters of each field were marked on the body and the immobilization devices at the conventional simulation room. Each treatment field was confirmed by comparing the fluoroscopy images with the digitally reconstructed radiography (DRR)/digitally composite radiography (DCR) images from the virtual simulation. The port verification films from the first treatment were also compared with the DRR/DCR images for a geometrical verification. Results : CSI in the supine position was successfully peformed in 9 patients. It required less than 20 minutes to construct the immobilization device and to obtain the whole body volumetric images. This made it possible to not only reduce the patients' inconvenience, but also to eliminate the position change variables during the long conventional simulation process. In addition, by obtaining the CT volumetric image, critical organs, such as the eyeballs and spinal cord, were better defined, and the accuracy of the port designs and shielding was improved. The differences between the DRRs and the portal films were less than 3 mm in the vertebral contour. Conclusion : CSI in the supine position is feasible in patients who cannot lie on prone position, such as pediatric patienta under the age of 4 years, patients with a poor general condition, or patients with a tracheostomy.

Development of a Proton Computed Tomography System with Monte Carlo Simulation (양성자 전산화 단층 촬영 장치 개발에 관한 전산모사 연구)

  • Seo, Jeong-Min;Kim, Chan-Hyeong
    • Journal of radiological science and technology
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    • v.34 no.3
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    • pp.215-219
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    • 2011
  • Monte Carlo simulation was performed to investigate optimal system of proton computed tomography and to avoid the errors by using data from X ray computed tomography in proton therapy. The informations from two DSSDs to measure position and LYSO scintillation detector to measure the residual energy of proton particle in GEANT4 were used for reconstruction computed tomography.