• Title/Summary/Keyword: 육안판독

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Interobserver Reproducibility of Segmental Scoring of $^{99m}Tc$-MIBI Myocardial SPECT ($^{99m}Tc$-MIBI 심근 SPECT의 분절 육안 분석시 판독자간의 일치도)

  • Yeo, Jeong-Seok;Lee, Dong-Soo;Lee, Kyung-Han;Kim, Jong-Ho;Shon, Kyung-Soo;Cho, Sung-Wook;Kwark, Cheol-Eun;Chung, June-Key;Lee, Myung-Chul;Seo, Jeong-Don;Koh, Chang-Soon
    • The Korean Journal of Nuclear Medicine
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    • v.28 no.3
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    • pp.317-325
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    • 1994
  • The accuracy of dipyridamole stress/rest $^{99m}Tc$-MIBI myocardial imaging for detection of ischemia depends on reproducible image interpretation. To evaluate the reproducibility of visual assessment, agreement in interpretation among two independent observers, blind-ed to clinical data, was evaluated in SPECT images of 131 patients (94 males, 38 females; mean age $58{\pm}7yr$) with suspected coronary artery disease who underwent both dipyridamole stress/rest $^{99m}Tc$-MIBI myocardial SPECT and coronary angiography. The left ventricle was divided into twenty-nine segments in stress and rest SPECT images and each segment was visually graded according to a five-point scale (segmental score : 0=normal, 1=equivocal, 2=mild decrease, 3=severe decrease and 4=absent uptake). Overall concordance of segmental scoring between the two observers was 80%. The Pear-son's correlation coefficient (r) of the segmental scores for stress and rest images were 0.67 and 0.65, respectively, while the difference in score between the two images showed a correlation of 0.45 (all p<0.001). Agreement between two observers in final SPECT diagnosis as absence or presence of disease was 93%. The degree of agreement in segmental scoring showed no difference between patients with or without agreement as to the presence of disease. Therefore it appeared that cases with inconcordant diagnosis between the 2 observers were mainly due to a difference in individual threshold for interpretating the significance of a particular decreased uptake area rather than to a difference in perceiving the degree of the hypoactivity Thus, establishment of individual optimum thresholds in visual interpretation of myocardial SPECT may be helpful to improve reproducibility and accuracy of scan diagnosis.

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Practical Understanding of Gross Examination Techniques (육안검사기술의 실무적 이해)

  • Woo-Hyun JI
    • Korean Journal of Clinical Laboratory Science
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    • v.56 no.1
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    • pp.89-98
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    • 2024
  • Gross examination techniques (GETs) of specimens collected from cancer surgery or endoscopy comprise the act of recording visual information about cancer for accurate histopathological diagnosis and collecting sections of the lesion to create microscopic specimens. GETs must include concise and accurate expressions, appropriate structuring, sufficient resections, error-free standardization of important information, and photo-diagramming of complex specimens. To increase the satisfaction of pathological interpretation, it is a task that must be performed accurately and carefully to gain confidence on a theoretical and practical basis with a sufficient understanding of gross examination. Based on the experience of clinical pathologists in the field of GETs, additional specimen types should be identified as viable candidates. Also, their needs and concerns regarding treatment should be carefully considered. In addition, departments at each institution should review the national focus on clinical partnerships, continuous professional training, diagnostic errors, and value-based healthcare provision.

A Study on Generation Methodology of Crime Prediction Probability Map by using the Markov Chains and Object Interpretation Keys (마코프 체인과 객체 판독키를 적용한 범죄 예측 확률지도 생성 기법 연구)

  • Noe, Chan-Sook;Kim, Dong-Hyun
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.11
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    • pp.107-116
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    • 2012
  • In this paper we propose a method that can generate the risk probability map in the form of raster shape by using Markov Chain methodology applied to the object interpretation keys and quantified risk indexes. These object interpretation keys, which are primarily characteristics that can be identified by the naked eye, are set based on the objects that comprise the spatial information of a certain urban area. Each key is divided into a cell, and then is weighted by its own risk index. These keys in turn are used to generate the unified risk probability map using various levels of crime prediction probability maps. The risk probability map may vary over time and means of applying different sets of object interpretation keys. Therefore, this method can be used to prevent crimes by providing the ways of setting up the best possible police patrol beat as well as the optimal arrangement of surveillance equipments.

A Study on Crime Prevention Risk Probability Map Generation Methodology by using the Object Interpretation Key (객체 판독키를 적용한 방범 위험도 확률지도 생성기법 연구)

  • Kim, Dong-Hyun;Park, Koo-Rack
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.11
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    • pp.135-144
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    • 2009
  • In this paper, a methodology for the risk probability map generation of the crime prevention to be subject to the urban area in the group residential area is presented. The interpretation key is set up to the distinctive feature distinguishing with the unaided eye based on the object composing with the urban area information such as the topology, the facility, and the characteristic information of the corresponding area by analyzing the crime prevention case occurred by gone. This interpretation key is generated, and this information is applied to another area equally, and so, the risk probability map for the crime prevention and the disaster prevention is generated. At this time, the object interpretation key for the urban area information is divided into the various size cell by the crime prevention case. and the risk index according with this cell is set up. Also, the generated various risk probability map is unified, and the integration risk probability map is generated.

Brain F-18 FDG PET for localization of epileptogenic zones in frontal lobe epilepsy: visual assessment and statistical parametric mapping analysis (전두엽 간질에서 F-18-FDG PET의 간질병소 국소화 성능: 육안 판독과 SPM에 의한 분석)

  • Kim, Yu-Kyeong;Lee, Dong-Soo;Lee, Sang-Kun;Chung, Chun-Kee;Yeo, Jeong-Seok;Chung, June-Key;Lee, Myung-Chul
    • The Korean Journal of Nuclear Medicine
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    • v.35 no.3
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    • pp.131-141
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    • 2001
  • Purpose: We evaluated the sensitivity of the F-18 FDG PET by visual assessment and statistical parametric mapping (SPM) analysis for the localization of the epileptogenic zones in frontal lobe epilepsy. Materials and Methods: Twenty-four patients with frontal lobe epilepsy were examined. All patients exhibited improvements after surgical resection (Engel class I or II). Upon pathological examination, 18 patients revealed cortical dysplasia, 4 patients revealed tumor, and 2 patients revealed cortical scar. The hypometabolic lesions were found in F-18 FDG PET by visual assessment and SPM analysis. On SPM analysis, cutoff threshold was changed. Results: MRI showed structural lesions in 12 patients and normal results in the remaining 12. F-18 FDG PET correctly localized epileptogenic zones in 13 patients (54%) by visual assessment. Sensitivity of F-18 FDG PET in MR-negative patients (50%) was similar to that in MR-positive patients (67%). On SPM analysis, sensitivity decreased according to the decrease of p value. Using uncorrected p value of 0.05 as threshold, sensitivity of SPM analysis was 53%, which was not statistically different from that of visual assessment. Conclusion: F-18 FDG PET was sensitive in finding epileptogenic zones by revealing hypometabolic areas even in MR-negative patients with frontal lobe epilepsy as well as in MR-positive patients. SPM analysis showed comparable sensitivity to visual assessment and could be used as an aid in the diagnosis of epileptogenic zones in frontal lobe epilepsy.

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An analysis of the coastal topography and land cover changes in the Haeundae Beach using GIS/RS (GIS/RS를 이용한 해운대 해수욕장의 해안지형 및 토지피복 변화 분석)

  • Yang Ji-Yeon;Choi Chul-Uong;Hong Hyun-Jung
    • Proceedings of the KSRS Conference
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    • 2006.03a
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    • pp.63-67
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    • 2006
  • 본 연구에서는 해안침식이 진행되고 있는 해운대 해수욕장의 장기 해안지형 변화 및 인근지역의 토지피복 변화에 대해 분석하였다. 지난 60여 년간의 항공사진을 이용하여 해안선을 추출하고 이를 수심측량 및 GPS측량 자료를 이용하여 조위보정한 후, 해빈면적을 추출하여 해안지형 변화를 분석하였다. 또한 환경부 토지피복 세분류를 기준으로 하여 육안판독을 통해 13개년도의 토지피복도를 제작하고 토양유실량을 산정하여 연도별 토지피복 변화를 분석하였다. 그 결과, 해운대 해수욕장의 해안선이 점진적으로 후퇴하고 있으며 해수욕장 면적이 전체적으로 감소하고 있는 것으로 나타났다. 춘천천 복개 및 도시개발에 의한 모래 공급원 차단이 이러한 해안침식에 영향을 주는 인위적 원인이라고 사료된다.

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Extracting Urban Boundary Using Grey Level Co-Occurrence Matrix Method and Visual Interpretation (GLCM과 육안판독을 이용한 도시경계 추출)

  • 손홍규;김기홍;유복모;방수남
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2003.04a
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    • pp.313-316
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    • 2003
  • Growing urban areas modify patterns of local land use and land cover. Land use changes associated with an urban area can be extensive. One way to understand and document land use change and urbanization is to establish benchmark maps compiled from satellite imagery The use of satellite imagery for monitoring urban growth has been widely demonstrated. Multi-temporal LANSAT TM image data has created the potential for monitoring urban change and land cover identification. In this study, for extracting urban boundary GLCM method and visual interpretation were used in CORONA imagery and SPOT imagery.

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A Discussion on Image Analysis in 18F-Florbetaben PET/CT (18F-Florbetaben PET/CT 검사에서 영상분석에 대한 고찰)

  • Choi, Yong-Hoon;Bahn, Young-Kag;Lim, Han-Sang;Kim, Jae-Sam
    • The Korean Journal of Nuclear Medicine Technology
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    • v.26 no.1
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    • pp.33-37
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    • 2022
  • Purpose 18F-Florbetaben (FBB) Readings are made by visually comparing the signal strengths of gray matter and white matter. We intend to evaluate the usefulness of image analysis by comparing quantified image analysis with readout. Materials and Methods Based on the reading results, 100 patients were divided into a negative scan and a positive scan, and 300 MBq of FBB was injected, and images were taken 90 minutes later for 20 minutes. The equipment was a Discovery 600 (GE Healthcare, MI, USA). Four regions of interest (lateral temporal lobes, frontal lobes, posterior cingulate & precuneus, and parietal lobes) were established based on the amyloid reading standard provided by the manufacturer. For image analysis, SUVratio (SUVr) was calculated by dividing each SUVmean by the cerebellum, and the average SUVr in the entire area was performed. Statistical analysis analyzed the cutoff derivation through ROC Curve, the difference between groups in Independent sample t-test, and the degree of agreement with the reading result through Kappa test. Results The average SUVr cutoff in the entire area was 1.23. Concordance with the read results using cutoff was 95/100 (95%) for negative and 92/100 (92%) for positive. As a result of the t-test, there was a statistically significant difference between the groups (P < 0.05), and the Kappa statistical result showed a high degree of agreement with 0.867 (P < 0.05). Conclusion The results of image analysis were statistically significant and showed a high degree of agreement with the reading results. In addition, FBB image analysis can be viewed by 3D mapping the area where amyloid is accumulated, location estimation is possible, and quantitative analysis results can be viewed in detail. If quantified FBB image analysis is used as an auxiliary indicator, it is thought to be helpful in reading.

Evaluating non-coincident Cadastral Parcel Using Google Earth Web (Google Earth Web을 활용한 지목 불부합 필지 평가)

  • Kim, Dae-Ho;Um, Jung-Sup
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2010.06a
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    • pp.9-18
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    • 2010
  • This study investigated the cadastral non-coincidence between real land using and cadastral book using Google Earth Web for difficult area to access that is more efficient method compared with field survey for saving time and money. An reading error has occurred eight parcels about dry field and paddy field but this method is more powerful in case of a danger area of steep, unregistered cemeteries of cadastral book using Google Earth Web of image interpretation that method takes 1 day, the accuracy is 96% and improved 20% more than field survey takes 5 days by 40 parcels. It's possible to reduce the manpower, time and budget could be minimized. In particular, it is need to land alteration of forests and fields category that finds 47 locations a burial ground of non register cadastre book. Google Earth Web method is enabling easy visual analysis of the future land administration of local governments to improving the reliability of temporal and economic costs can be very useful to reduce.

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