• Title/Summary/Keyword: 병리(病理)

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학술발표회

  • 함영일
    • Proceedings of the Korean Society of Plant Pathology Conference
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    • 1997.10a
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    • pp.16-73
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    • 1997
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Prostate MR and Pathology Image Fusion through Image Correction and Multi-stage Registration (영상보정 및 다단계 정합을 통한 전립선 MR 영상과 병리 영상간 융합)

  • Jung, Ju-Lip;Jo, Hyun-Hee;Hong, Helen
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.9
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    • pp.700-704
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    • 2009
  • In this paper, we propose a method for combining MR image with histopathology image of the prostate using image correction and multi-stage registration. Our method consists of four steps. First, the intensity of prostate bleeding area on T2-weighted MR image is substituted for that on T1-weighted MR image. And two or four tissue sections of the prostate in histopathology image are combined to produce a single prostate image by manual stitching. Second, rigid registration is performed to find the affine transformations that to optimize mutual information between MR and histopathology images. Third, the result of affine registration is deformed by the TPS warping. Finally, aligned images are visualized by the intensity intermixing. Experimental results show that the prostate tumor lesion can be properly located and clearly visualized within MR images for tissue characterization comparison and that the registration error between T2-weighted MR and histopathology image was 0.0815mm.

Image Edge Detection Technique for Pathological Information System (병리 정보 시스템을 위한 이미지 외곽선 추출 기법 연구)

  • Xiao, Xie;Oh, Sangyoon
    • KIPS Transactions on Software and Data Engineering
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    • v.5 no.10
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    • pp.489-496
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    • 2016
  • Thousands of pathological images are produced daily per hospital and they are stored and managed by a pathology information system (PIS). Since image edge detection is one of fundamental analysis tools for pathological images, many researches are targeted to improve accuracy and performance of image edge detection algorithm of HIS. In this paper, we propose a novel image edge detection method. It is based on Canny algorithm with adaptive threshold configuration. It also uses a dividing ruler to configure the two threshold instead of whole image to improve the detection ratio of ruler itself. To verify the effectiveness of our proposed method, we conducted empirical experiments with real pathological images(randomly selected image group, image group that was unable to detect by conventional methods, and added noise image group). The results shows that our proposed method outperforms and better detects compare to the conventional method.

Stress Perception and Psychopathology in Workers Exposed to Mixtures of Organic Solvents (복합유기용제에 노출된 근로자들의 스트레스지각 및 정신병리)

  • Kim, Chan-Hyung;Koh, Kyung-Bong
    • Korean Journal of Psychosomatic Medicine
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    • v.1 no.1
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    • pp.59-66
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    • 1993
  • A comparison was made between workers exposed to organic solvents and those not exposed to them regarding stress perception and psychopathology, using GARS scale and SCL-90-R. The exposed group scored significantly higher than the non-exposed group in stress perception relevant to job-wort changes in relationship, sickness or injury, financial, and overall global area. The exposed group was significantly higher in somatization scale than the non-exposed group. However, there was no significant correlation between duration of exposure and psychopathology. In each of the groups. female workers showed more psychopathology than male ones. Age showed significantly nagative correlation with psychopathology. These results suggest that the exposed group shows higher stress perception and more psychopathology than the non-exposed group. Thus. it is emphasized that health policy makers as well as employers should pay more attention to health. espcially mental health for the workers exposed to organic solvents.

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Pathological Discussion of Anemia in Fish (어류 빈혈에 관한 병리학적 고찰)

  • Huh, Min-Do;Song, Na-Young;Lee, Mu-Kun
    • Journal of fish pathology
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    • v.18 no.2
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    • pp.105-118
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    • 2005
  • Anemia in fish can be easily recognized by examining the gill color and physical properties of sampled blood. The number of erythrocytes is generally within 1-3 ${\times}10^6$. Hematocrit (Ht) reportedly ranges 35-45% in many of reports which is nearly the same as that in mammals. Anemia in fish can also be classified as hemorrhagic, hemolytic and hypoplastic ones. Fish are also expected to have similar pathological effects by anemia as in mammals. From the fact that fish can survive under extremely low hematocrit below 10% and antarctic icefish (Chanenocephalus aceratus) has no erythrocytes, different pathological effects were expected. Anemia is considered to have one of the most important health parameters, based on the pathological aspect. Therefore, by reviewing clinical and histopathological findings of most of fish diseases already known and then adding our results of experimental anemia, diseases and factors related to anemia were summarized and the pathological effects was discussed.

Automatic Stitching of the Prostate in 4-section Pathology Image using Geometric Correction and Rigid Registration (기하 보정 및 강체 정합을 통한 4-조각 전립선 병리 영상의 자동 스티칭)

  • Kim, Han-Nah;Lee, Ji-Un;Hong, Helen;Lee, Hak-Jong;Hwang, Sung-Il
    • Proceedings of the Korean Information Science Society Conference
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    • 2012.06b
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    • pp.345-347
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    • 2012
  • 본 논문에서는 4-조각 전립선 병리조직 영상을 기하 보정 및 강체 정합하여 자동 스티칭하는 방법을 제안한다. 4-조각 병리영상에 대하여 총 3번의 스티칭을 수행하는데, 좌, 우 조각영상의 상, 하 영상 간 스티칭을 각각 수행 한 후 좌, 우 조각 영상 간 스티칭을 수행한다. 강체 정합 전 병리 조각의 코너를 이용해 x-축, y-축 방향의 위치보정과 회전보정을 수행하는 기하보정 단계를 거침으로서 지역적 최적해로의 수렴을 방지하며, 강체 정합의 정확성을 높인다. 병리영상은 전체적으로 밝기값이 유사하므로 밝기값이 아닌 외곽선 정보를 이용하여 조각 영상간의 거리를 최소화시켜 강체 정합한다. 실험 결과, 4-조각 전립선 병리조직 영상이 지역적 최적해에 수렴하지 않고, 조각 영상 간 거리를 최소화 하며, 하나로 스티칭 됨을 확인할 수 있었다. 제안 방법의 총 수행 시간은 평균 10.32초로 측정되었다. 본 논문의 제안 방법은 4조각으로 나뉜 전립선 병리조직 영상을 하나로 스티칭 함으로서 해당 조직의 전체 구조 파악 및 조직 내에서의 암의 위치 파악에 사용 될 수 있으며 이를 통한 전립선암의 확진에도 사용 될 수 있다.