• Title/Summary/Keyword: radiological science

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Evaluation of Adult Lung CT Image for Ultra-Low-Dose CT Using Deep Learning Based Reconstruction

  • JO, Jun-Ho;MIN, Hyo-June;JEON, Kwang-Ho;KIM, Yu-Jin;LEE, Sang-Hyeok;KIM, Mi-Sung;JEON, Pil-Hyun;KIM, Daehong;BAEK, Cheol-Ha;LEE, Hakjae
    • Korean Journal of Artificial Intelligence
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    • v.9 no.2
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    • pp.1-5
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    • 2021
  • Although CT has an advantage in describing the three-dimensional anatomical structure of the human body, it also has a disadvantage in that high doses are exposed to the patient. Recently, a deep learning-based image reconstruction method has been used to reduce patient dose. The purpose of this study is to analyze the dose reduction and image quality improvement of deep learning-based reconstruction (DLR) on the adult's chest CT examination. Adult lung phantom was used for image acquisition and analysis. Lung phantom was scanned at ultra-low-dose (ULD), low-dose (LD), and standard dose (SD) modes, and images were reconstructed using FBP (Filtered back projection), IR (Iterative reconstruction), DLR (Deep learning reconstruction) algorithms. Image quality variations with respect to varying imaging doses were evaluated using noise and SNR. At ULD mode, the noise of the DLR image was reduced by 62.42% compared to the FBP image, and at SD mode, the SNR of the DLR image was increased by 159.60% compared to the SNR of the FBP image. Based on this study, it is anticipated that the DLR will not only substantially reduce the chest CT dose but also drastic improvement of the image quality.

MR-based Partial Volume Correction for $^{18}$F-PET Data Using Hoffman Brain Phantom

  • Kim, D. H.;Kim, H. J.;H. K. Jeong;H. K. Son;W. S. Kang;H. Jung;S. I. Hong;M. Yun;Lee, J. D.
    • Proceedings of the Korean Society of Medical Physics Conference
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    • 2002.09a
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    • pp.322-323
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    • 2002
  • Partial volume averaging effect of PET data influences on the accuracy of quantitative measurements of regional brain metabolism because spatial resolution of PET is limited. The purpose of this study was to evaluate the accuracy of partial volume correction carried out on $^{18}$ F-PET images using Hoffman brain phantom. $^{18}$ F-PET Hoffman phantom images were co-registered to MR slices of the same phantom. All the MR slices of the phantom were then segmented to be binary images. Each of these binary images was convolved in 2 dimensions with the spatial resolution of the PET. The original PET images were then divided by the smoothed binary images in slice-by-slice, voxel-by-voxel basis resulting in larger PET image volume in size. This enlarged partial volume corrected PET image volume was multiplied by original binary image volume to exclude extracortical region. The evaluation of partial volume corrected PET image volume was performed by region of interests (ROI) analysis applying ROIs, which were drawn on cortical regions of the original MR image slices, to corrected and original PET image volume. From the ROI analysis, range of regional mean values increases of partial volume corrected PET images was 4 to 14%, and average increase for all the ROIs was about 10% in this phantom study. Hoffman brain phantom study was useful for the objective evaluation of the partial volume correction method. This MR-based correction method would be applicable to patients in the. quantitative analysis of FDG-PET studies.

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Prognostic Value of Dual-Energy CT-Based Iodine Quantification versus Conventional CT in Acute Pulmonary Embolism: A Propensity-Match Analysis

  • Dong Jin Im;Jin Hur;Kyunghwa Han;Young Joo Suh;Yoo Jin Hong;Hye-Jeong Lee;Young Jin Kim;Byoung Wook Choi
    • Korean Journal of Radiology
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    • v.21 no.9
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    • pp.1095-1103
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    • 2020
  • Objective: The present study aimed to investigate whether quantitative dual-energy computed tomography (DECT) parameters offer an incremental risk stratification benefit over the CT ventricular diameter ratio in patients with acute pulmonary embolism (PE) by using propensity score analysis. Materials and Methods: This study was conducted on 480 patients with acute PE who underwent CT pulmonary angiography (CTPA) or DECT pulmonary angiography (DE CT-PA). This propensity-matched study population included 240 patients with acute PE each in the CTPA and DECT groups. Altogether, 260 (54.1%) patients were men, and the mean age was 64.9 years (64.9 ± 13.5 years). The primary endpoint was all-cause death within 30 days. The Cox proportional hazards regression model was used to identify associations between CT parameters and outcomes and to identify potential predictors. Concordance (C) statistics were used to compare the prognoses between the two groups. Results: In both CTPA and DECT groups, right to left ventricle diameter ratio ≥ 1 was associated with an increased risk of all-cause death within 30 days (hazard ratio: 3.707, p < 0.001 and 5.573, p < 0.001, respectively). However, C-statistics showed no statistically significant difference between the CTPA and DECT groups for predicting death within 30 days (C-statistics: 0.759 vs. 0.819, p = 0.117). Conclusion: Quantitative measurement of lung perfusion defect volume by DECT had no added benefit over CT ventricular diameter ratio for predicting all-cause death within 30 days.

Correction : A Bone Metastasis Nude Mouse Model Created by Ultrasound Guided Intracardiac Injection of Breast Cancer Cells: the Micro-CT, MRI and Bioluminescence Imaging Analysis (누드 마우스에서 초음파 유도하의 심장 내 유방암세포 주입을 통한 골전이암 모델 생성과 미세전산화단층촬영, 자기공명영상, 및 생물발광영상 분석)

The Evaluation of Non-Ionizing Radiation (Near-Infrared Radiation) based Medical Imaging Application : Diabetes Foot (비전리 방사선 (근적외선) 기반 의료영상 활용 가능성 평가: 당뇨발)

  • Jung, Young-Jin;Shin, Cheol-Won;Ahn, Sung-Min;Hong, Jun-Yong;Ahn, Yun-Jin;Lim, Cheong-Hwan
    • Journal of radiological science and technology
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    • v.39 no.3
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    • pp.399-406
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    • 2016
  • Near-infrared radiation (NIR) is non-ionizing, non-invasive, and deep tissue penetration in biological material, thereby increasing research interests as a medical imaging technique in the world. However, the use of current near-infrared medical image is extremely limited in Korea (ROK) since it is not well known among radiologic technologists and radiological researchers. Therefore to strengthen the knowledge for NIR medical imaging is necessary so as to prepare a qualified radiological professionals to serve medical images in high-quality on the clinical sites. In this study, an overview of the features and principles of NIR imaging was demonstrated. The latest research topics and worldwide research trends were introduced for radiologic technologist to reinforce their technical skills. In particular, wound care and diabetic foot which have high feasibility for clinical translation were introduced in order to contribute to accelerating NIR research for developing the field of radiological science.

Design and Simulation of Depth-Encoding PET Detector using Wavelength-Shifting (WLS) Fiber Readout

  • An, Su Jung;Kim, Hyun-il;Lee, Chae Young;Song, Han Kyeol;Park, Chan Woo;Chung, Young Hyun
    • IEIE Transactions on Smart Processing and Computing
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    • v.4 no.5
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    • pp.305-310
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    • 2015
  • We propose a new concept for a depth of interaction (DOI) positron emission tomography (PET) detector based on dual-ended-scintillator (DES) readout for small animal imaging. The detector consists of lutetium yttrium orthosilicate (LYSO) arrays coupled with orthogonal wavelength-shifting (WLS) fibre placed on the top and bottom of the arrays. On every other line, crystals that are 2 mm shorter are arranged to create grooves. WLS fibre is inserted into these grooves. This paper describes the design and performance evaluation of this PET detector using Monte Carlo simulations. To investigate sensitivity by crystal size, five types of PET detectors were simulated. Because the proposed detector is composed of crystals with three different lengths, degradation in sensitivity across the field of view was also explored by simulation. In addition, the effect of DOI resolution on image quality was demonstrated. The simulation results proved that the devised PET detector with excellent DOI resolution is helpful for reducing the channels of sensors/electronics and minimizing gamma ray attenuation and scattering while maintaining good detector performance.

Combined Effect of Radiation and 25-Hydroxycholesterol on Human Cervix and Lung Cancer Cells in vitro

  • Chae Sungwook;Kang Kyoung Ah;Lee Kyoung Hwa;Zhang Rui;Jung Myung Sun;Hyun Jin Won
    • Environmental Mutagens and Carcinogens
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    • v.25 no.2
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    • pp.76-81
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    • 2005
  • 25-Hydroxycholesterol (cholest-5-ene-3, 25-diol, 25-OHC) showed the cytotoxicity on HeLa human cervix and NCI-H460 human lung cancer cells, $0.5{\mu}M\;of\;50\%$ inhibitory concentration. We studied 25-OHC as the possibility of radiation sensitizer. The combination effect of 25-OHC and y-irradiation measured using flow cytometer with propidium iodide stained cells. The combined treatment of 25-OHC and $\gamma-irradiation$ did not show significant enhancing effects on Hela and NCI-H460 cells.

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Antioxidant Effect of Homogentisic Acid on Hydrogen Peroxide Induced Oxidative Stress in Human Lung Fibroblast Cells

  • Kang, Kyoung-Ah;Chae, Sung-Wook;Lee, Kyoung-Hwa;Zhang, Rui;Jung, Myung-Sun;You, Ho-Jin;Kim, Jin-Sook;Hyun, Jin-Won
    • Biotechnology and Bioprocess Engineering:BBE
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    • v.10 no.6
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    • pp.556-563
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    • 2005
  • Homogentisic acid was found to scavenge intracellular reactive oxygen species (ROS), and 1,1-diphenyl-2-picrylhydrazyl (DPPH) radicals and thus prevented lipid peroxidation in human fibroblast (Wl 38) cells. The radical scavenging activity of homogentisic acid was found to protect Wl 38 cells against hydrogen peroxide $(H_2O_2)$ induced oxidative stress, via the activation of extracellular signal regulated kinase (ERK) protein. Homogentisic acid increased the activity of catalase. Hence, from the present study, it is suggested that homogentisic acid protects Wl 38 cells against $H_2O_2$ damage by enhancing the intracellular antioxidative activity.