• Title/Summary/Keyword: Digital Stomach Image

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Feature Extraction of Disease Region in Stomach Images Based on DCT (DCT기반 위장영상 질환부위의 특징추출)

  • Ahn, Byeoung-Ju;Lee, Sang-Bock
    • Journal of the Korean Society of Radiology
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    • v.6 no.3
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    • pp.167-171
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    • 2012
  • In this paper, we present an algorithm to extract features about disease region in digital stomach images. For feature extraction, DCT coefficients of gastrointestinal imaging matrix was obtained. DCT coefficent matrix is concentrated energy in low frequency region, we were extracted 128 feature parameters in low frequency region. Extracted feature parameters can using for differential compression of PACS and, can using for input parameter in CAD.

The usability analysis of the Ray-sum technique and SSD (Shaded Surface display) technique in stomach CT Scan (위장 CT 검사에서 Ray-sum 기법과 SSD(Shaded Surface Display) 기법의 유용성 분석)

  • Kim, Hyun-Joo;Cho, Jae-Hwan;Song, Hoon
    • Journal of Digital Contents Society
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    • v.12 no.2
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    • pp.151-156
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    • 2011
  • The analysis and image evaluation the Ray-sum technique and Shaded Surface Display (under SSD) technique which is the reconstruction image processing technique after the CT scan was evaluated and the usability of the three-dimensional information offering was confirmed in the patient with stomach cancer. After obtaining the raw data by using 64-MDCT in 20 patient with stomach cancers, the image reconstruction processing was done. It was evaluated to describe accurately the analyzed result Ray-sum and SSD reconstruction image everyone anatomical structure. In the precision estimation of the image, the lesion location could coincide in the Ray-sum and SSD reconstruction image majority with the gastro fiberscope and we can know than the gastro fiberscope over 6cm that there was the error. In addition, We could know that degree of accordance of the results of the image interpretation about the lesion and endoscope and pathological opinion were high.

The Study on the Attenuation of X-ray and Imaging Quality by Contents in Stomach (위장내 음식물에 따른 방사선 감약 및 화질에 관한 연구)

  • Dong, Kyung-Rae;Ji, Youn-Sang;Kim, Chang-Bok;Choi, Seong-Kwan;Moon, Sang-In;Dieter, Kevin
    • Journal of radiological science and technology
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    • v.32 no.1
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    • pp.53-60
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    • 2009
  • This study examined the change in the attenuation of X-rays with the ROI (Region of Interest) in DR (Digital Radiography) according to the stomach contents by manufacturing a tissue equivalent material phantom to simulate real stomach tissue based on the assumption that there is some attenuation of X-rays and a difference in imaging quality according to the stomach contents. The transit dosage by the attenuation of X-rays decreased with increasing protein thickness, which altered the average ROI values in the film and DR images. A comparison of the change in average ROI values of the film and DR image showed that the image in film caused larger density changes with varying thickness of protein than the image by DR. The results indicate that NPO (nothing by mouth) is more important in film system than in DR system.

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A Method to Obtain the CT Attenuation Coefficient and Image Noise of Various Convolution Kernels in the Computed Tomography (Convolution Kernel의 종류에 따른 CT 감약계수 및 노이즈 측정에 관한 연구)

  • Kweon, Dae-Cheol;Yoo, Beong-Gyu;Lee, Jong-Seok;Jang, Keun-Jo
    • Korean Journal of Digital Imaging in Medicine
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    • v.9 no.1
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    • pp.21-30
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    • 2007
  • Our objective was to evaluate the CT attenuation coefficient and noise of spatial domain filtering as an alternative to additional image reconstruction using different kernels in abdominal CT. Derived from thin collimated source images was generated using abdomen B10 (very smooth), B20 (smooth), B30 (medium smooth), B40 (medium), B50 (medium sharp), B60 (sharp), B70 (very sharp) and B80 (ultra sharp) kernels. Quantitative CT coefficient and noise measurements provided comparable HU (hounsfield) units in this respect. CT attenuation coefficient (mean HU) values in the abdominal were 60.4$\sim$62.2 HU and noise (7.6$\sim$63.8 HU) in the liver parenchyma. In the stomach a mean (CT attenuation coefficient) of -2.2$\sim$0.8 HU and noise (10.1$\sim$82.4 HU) was measured. Image reconstructed with a convolution kernel led to an increase in noise, whereas the results for CT attenuation coefficient were comparable. Image medications of image sharpness and noise eliminate the need for reconstruction using different kernels in the future. CT images increase the diagnostic accuracy may be controlled by adjusting CT various kernels, which should be adjusted to take into account the kernels of the CT undergoing the examination.

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Study on Radiation dose in according to Magnification's rate in fluoroscopy (투시 조영 검사 시 확대율에 따른 피폭선량에 관한 고찰)

  • Kang, Kyeong-Mi;Hong, Seon-Sook;Seong, Min-Sook;Song, Woon Heung
    • Korean Journal of Digital Imaging in Medicine
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    • v.15 no.2
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    • pp.39-44
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    • 2013
  • Purpose : The purpose of this study is the magnification rates depending on the area of patient dose (DAP) and glass dosimeter see the change of the dose according to the dose characteristics of low-magnification aims to raise standards. Materials and Method : Direct DR equipment Sonialvision DAR-8000f, Shimadzu was used, the patient entrance dose measurements to the surface of the Rando Phantom of the neck and the abdomen was placed on the Xi unfors. glass dosimeter for measuring organ doses at the same time the Rando Phantom of the major organs in place by inserting a 9 ", 12", 15 ", 17" and 30 seconds for each magnification were measured according in fluoroscopy. DAP meter area of the patient dose was measured. Result : Esophagography at 17" 143% than 9"magnification the average area dose was increased. Organ dose of Esophagography at 17" was decreased 25.32% than 9" magnification. UGI at 17" was increased 129.73% DAP than 9" magnification. Organ dose of UGI at 17" was decreased 23.32% than 9" magnification. Where the major organs of magnification at 17" were decreased(lung -25.96%, stomach -33.09%, spleen -27.81%, liver -4.92%) than 9" magnification. Conclusion : Expected to get better quality image While using the proper magnification, and have recognition that difference Organ doses and DAP meter in fluoroscopy.

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