• Communications for Statistical Applications and Methods
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• 제19권4호
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• pp.559-569
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• 2012

Compositional data consist of compositions that are non-negative vectors of proportions with the unit-sum constraint. In disciplines such as petrology and archaeometry, it is fundamental to statistically analyze this type of data. Aitchison (1983) introduced a log-contrast principal component analysis that involves logratio transformed data, as a dimension-reduction technique to understand and interpret the structure of compositional data. However, the analysis is not usable when zero values are present in the data. In this paper, we introduce 4 possible methods to reduce the dimension of compositional data with zero values. Two real data sets are analyzed using the methods and the obtained results are compared.

• 한국농공학회:학술대회논문집
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• 한국농공학회 2003년도 학술발표논문집
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• pp.623-626
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• 2003

Image analysis was performed with two color systems, Red-Green-Blue (RGB) values and normalized Hue-Saturation-Intensity (HSI). We conducted field studies in Cheongju to determine canopy spectral reflectance and digital image analysis of rice. Spectral reflectance measurements made with a portable spectrometer(LI-1800) correlated with growing stage and digital images for rice. Images in which the color was specified by the common RGB coordinates could be used when there was a sharp contrast between the color of the rice and that of the field soil. In the absence of sharp contrast, identification of the rice covered area was much easer after the color had been transformed into HSI coordinates. This study introduced fundamental theories in digital image analysis and applied that for field situations rice.

• Journal of Yeungnam Medical Science
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• 제39권1호
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• pp.24-30
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• 2022

Background: Texture analysis has been used as a method for quantifying image properties based on textural features. The aim of the present study was to evaluate the usefulness of magnetic resonance imaging (MRI) texture analysis for the evaluation of viable ovarian tissue on the perfusion map of ovarian endometriosis. Methods: To generate a normalized perfusion map, subtracted T1-weighted imaging (T1WI), T1WI and contrast-enhanced T1W1 with sequences were performed using the same parameters in 25 patients with surgically confirmed ovarian endometriosis. Integrated density is defined as the sum of the values of the pixels in the image or selection. We investigated the parameters for texture analysis in ovarian endometriosis, including angular second moment (ASM), contrast, correlation, inverse difference moment (IDM), and entropy, which is equivalent to the product of area and mean gray value. Results: The perfusion ratio and integrated density of normal ovary were 0.52±0.05 and 238.72±136.21, respectively. Compared with the normal ovary, the affected ovary showed significant differences in total size (p<0.001), fractional area ratio (p<0.001), and perfusion ratio (p=0.010) but no significant differences in perfused tissue area (p=0.158) and integrated density (p=0.112). In comparison of parameters for texture analysis between the ovary with endometriosis and the contralateral normal ovary, ASM (p=0.004), contrast (p=0.002), IDM (p<0.001), and entropy (p=0.028) showed significant differences. A linear regression analysis revealed that fractional area had significant correlations with ASM (r²=0.211), IDM (r²=0.332), and entropy (r²=0.289). Conclusion: MRI texture analysis could be useful for the evaluation of viable ovarian tissues in patients with ovarian endometriosis.

• Asian Pacific Journal of Cancer Prevention
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• 제16권6호
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• pp.2361-2368
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• 2015

Objective: To evaluate the diagnostic accuracy of contrast-enhanced ultrasonography (CEUS) in differentiating between benign and malignant enlarged lymph nodes using meta-analysis. Materials and Methods: Pubmed, Embase, SCI and Cochrane databases were searched for studies (up to September 1, 2014) reporting the diagnostic performance of CEUS in discriminating between benign and malignant lymph nodes. Inclusion criteria were: prospective study; histopathology as the reference standard; and sufficient data to construct $2{\times}2$ contingency tables. Methodological quality was assessed using Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2). Patient clinical characteristics, sensitivity and specificity were extracted. The summary receiver operating characteristic curve was used to examine the accuracy of CEUS. A meta-analysis was performed to evaluate the clinical utility in identification of benign and malignant lymph nodes. Sensitivity analysis was performed after omitting outliers identified in a bivariate boxplot and publication bias was assessed with Egger testing. Results: The pooled sensitivity, specificity and AUROC were 0.92 (95%CI, 0.85-0.96), 0.91 (95%CI, 0.82-0.95) and 0.97 (95%CI, 0.95-0.98), respectively. After omitting 3 outlier studies, heterogeneity decreased. Sensitivity analysis demonstrated no disproportionate influences of individual studies. Publication bias was not significant. Conclusions: CEUS is a promising diagnostic modality in differentiating between benign and malignant lymph nodes and can potentially reduce unnecessary fine-needle aspiration biopsies of benign nodes.

• 한국방사선학회논문지
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• 제13권4호
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• pp.495-502
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• 2019

혈관 질환을 검사하기 위한 방법으로 방사선 장비를 이용한 검사들이 주를 이루기 때문에 본 연구를 통해 뇌혈관 질환 검사에 있어 혈관 질환 검사에 사용되는 뇌혈관 조영술과 뇌혈관 전산화단층촬영검사의 입사표면선량(ESD; Entrance Surface Dose)을 비교 분석하여 뇌혈관 질환 검사 시 사용된 선량 결과에 따른 최적의 검사 방법 선택 유도 및 선량 저감화 방안에 대해 알아보고자 하였으며, 조영제 사용량을 측정 및 평가하여 조영제로 인한 부작용 발생 우려 시 권장 할 수 있는 검사선택 방법에 대해 알아보고자 연구를 진행하게 되었다. 대상으로는 2018년 6월부터 2018년 12월까지 여수지역 병원에서 뇌혈관 전산화 단층 촬영 검사를 시행한 70명 (남43, 여27)과 2018년 6월부터 2018년 11월까지 평택지역 병원에서 뇌혈관 조영술을 시행한 61 (남34, 여27)명을 대상으로 하였고, 분석 방법으로는 입사표면선량 데이터 값을 M-view와 PACS PLUS를 통해 후향적으로 획득하였으며 조영제 측정은 실제 사용된 량을 측정하는 방법으로 진행하였다. SPSS를 이용한 T-검정 분석결과 뇌혈관 조영술의 선량이 $245.74{\pm}71.91mGy$로 전산화 단층 촬영검사의 선량 $277.79{\pm}79.65mGy$보다 $32.05{\pm}7.74mGy$만큼 낮았으며 t=3.249, p=0.017로 통계적으로 유의했고(p<0.05) 조영제 총 사용량 비교 분석 결과에선 뇌혈관 조영술 시 사용된 평균 조영제 사용량이 $55.05{\pm}17.68ml$로 전산화 단층 촬영 검사에서 사용된 70 ml의 조영제 양보다 약 14.95 ml만큼 적었으며 t=-4.548, p<0.001로 통계적으로 유의했다. 결론적으로 뇌혈관 조영술의 선량이 전산화 단층 촬영검사보다 통계적으로 유의하게 낮았고, 조영제 사용량 또한 전산화 단층 촬영검사보다 유의할 만큼 적었으므로 뇌혈관 질환 검사에 있어 뇌혈관 조영술의 활용을 늘리는 방안이 피폭선량 저감화를 위한 방법임과 동시에 조영제 사용량을 감소시킬 수 있는 방안이라 생각된다.

• 한국방사선학회논문지
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• 제10권8호
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• pp.619-627
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• 2016

본 연구에서는 일반촬영에서 자동노출제어장치를 이용하여 검사할 때 체내에 잔존하는 CT 조영제와 MRI 조영제가 면적선량에 미치는 영향에 대해 알아보고자 한다. 복부 두께의 파라핀 팬텀 중앙에 사각형의 홀을 만든 후 CT 조영제, MRI 조영제를 각각 식염수 대 조영제 희석 비율, 10:0, 9:1, 8:2, 7:3, 6:4, 5:5, 4:6, 3:7, 2:8, 1:9, 0:10 %의 비율로 희석하였다. 각 실험은 KUB 촬영의 적정 조건인 78kVp, 320mA로 설정 후 자동노출제어장치를 이용하여 희석 비율 당 총 30회씩의 검사를 하였고, 각 조영제의 희석 비율에 따른 면적선량, 노출지수에 대해 평균 비교와 상관분석을 하였다. 그 결과, CT 조영제와 MRI 조영제는 희석 비율에 따라 면적선량이 다르게 나타났고(p<0.05), 희석 비율이 증가함에 따라 CT 조영제와 MRI 조영제는 면적선량이 증가하는 것으로 나타났다(p<0.05). 각 검사에서 노출지수는 제조사 권고 사항인 200-800 EI값을 나타냈으며, 노출지수와 면적선량은 면적선량이 증가할수록 노출지수도 증가하였다(p<0.05). 결론적으로 CT 조영제와 MRI 조영제는 모두 자동노출제어장치를 사용하는 일반촬영 검사에서 면적선량을 증가시키는 것을 확인하였다. 따라서 CT와 MRI 검사에서 조영제를 사용한 후 일반촬영 검사를 할 때에는 조영제가 충분히 배설된 후 시행하여야 할 것으로 사료된다.

• 치과방사선
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• 제22권2호
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• pp.293-303
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• 1992

Generally the patient's absorb dose and readability of radiograms are affected by the exposure time and kVp of which are related with the radiographic density and contrast The investigator carried studies to know the adequate level of exposure time and kVp to obtain the better readability of radiograms. In these studies dried human mandible with selfcuring acrylic resins attached with aluminum step wedge was used and readability of radiograms were compared with each other by videodensitometry among various combination sets of the exposure time, such as 5, 6, 8, 12, 15, 19, 24, 30, 38, 48 and 60, and varing level of kVp, such as 60, 65, 70, 80 and 90 respectively. The obtained results were as follows: 1. As exposure time and kVp were increased, radiographic density of radiograms was increased. 2. The subject contrast was increased where aluminum step wedge was thin and reduced in the reversed condition. At the thin aluminum step wedge, subject contrast was increased at the condition of lower kilovoltage than that of higher kilovoltage. 3. In the case of non-constant radiographic density, the radiographic contrast was reduced with the increment kilovoltage. The radiographic contrast was increased in the lower kilovoltage with the longer exposure time and the higher kilovoltage with the shorter exposure time. 4. At the condition of short exposure time, better readability of each reading item was obtained with the increment of the kilovoltage but at the opposite condition increasing exposure time worsened readability of radiograms. Since X-ray machine in the current dental clinics is fixed between the range of 60-70kVp and 10mA, good radiograms can be obtained by varied exposure time. But according to the conclusion of these studies, better radiograms can be obtained by using filtered high kVp and then the absorb dose to patient and exposure time can be reduced.

• 방송공학회논문지
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• 제20권2호
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• pp.238-247
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• 2015

본 논문은 영상 신호의 방향을 고려하여 기존의 multiband energy scaling 방법의 문제점을 보완하면서 human visual system(HVS)에 적합한 영상 local contrast 향상 방법을 개발하였다. 기존의 multiband energy scaling 방법은 신호 방향에 대한 고려 없이 화질을 향상시켜 ringing artifact가 발생하였으나 본 논문에서는 block gradient를 사용하여 신호의 방향을 측정하고 측정된 신호 방향에 따라 주파수 신호를 향상시켜 ringing artifact의 발생 없이 화질을 향상시켰다. 또한 본 논문은 human visual system(HVS)은 각 신호의 값 하나하나 보다는 각 신호가 가지는 주파수에 성분에 민감하게 반응한다는 것을 이용하여 주파수 성분에 대한 인간 시각의 민감도를 모델링한 contrast sensitivity function(CSF)에 따라 영상의 화질을 향상시켰다. 결국 본 논문에서 제안하는 방법은 신호의 특성과 인간 시각의 특성을 모두 고려하여 영상의 화질을 향상시키기 때문에 기존의 화질 향상 방법들에 비해 영상 신호와 인간 시각 특성에 더욱 적합하게 화질을 향상시킬 수 있다.

• 대한의용생체공학회:의공학회지
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• 제33권4호
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• pp.169-176
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• 2012

Tumor cell morphology is closely related to its migratory behaviors. An active tumor cell has a highly irregular shape, whereas a spherical cell is inactive. Thus, quantitative analysis of cell features is crucial to determine tumor malignancy or to test the efficacy of anticancer treatment. We use 3D time-lapse phase-contrast microscopy to analyze single cell morphology because it enables to observe long-term activity of living cells without photobleaching and phototoxicity, which is common in other fluorescence-labeled microscopy. Despite this advantage, there are image-level drawbacks to phase-contrast microscopy, such as local light effect and contrast interference ring. Therefore, we first corrected for non-uniform illumination artifacts and then we use intensity distribution information to detect cell boundary. In phase contrast microscopy image, cell is normally appeared as dark region surrounded by bright halo ring. Due to halo artifact is minimal around the cell body and has non-symmetric diffusion pattern, we calculate cross sectional plane which intersects center of each cell and orthogonal to first principal axis. Then, we extract dark cell region by analyzing intensity profile curve considering local bright peak as halo area. Finally, we calculated the Fourier descriptor that morphological characteristics of cell to classify tumor cells into active and inactive groups. We validated classification accuracy by comparing our findings with manually obtained results.

• 대한디지털의료영상학회논문지
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• 제12권2호
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• pp.127-132
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• 2010

In this study, the correlation among the changes of Modulation Transfer Function(MTF) in the noise and high-contrast resolution and the change of Contrast to noise ratio(CNR) in the low-contrast resolution will be examined to investigate the estimation of image quality according to the type of algorithms. The image data obtained by scanning American Association of Physicists in Medicine(AAPM) phantom was applied to each algorithm and the exposure condition of 120 kVp, 250 mAs, and then the CT number and noise were measured. The MTF curved line of the high-contrast resolution was calculated with Point Spread Function(PSF) by using the analysis program by Philips, resulting in 0.5 MTF, 0.1 MTF and 0.02 MTF respectively. The low-contrast resolution was calculated with CNR and the uniformity was measured to each algorithm. Since the measurement value for the uniformity of the equipment was below ${\pm}$ 5 HU, which is the criterion figure, it was found to belong to the normal range. As the algorithm got closer from soft to edge, the standard deviation of CT number increased, which indicates that the noise increased as well. As for MTF, 0.5 MTF, 0.1 MTF and 0.02 MTF were all sharp algorithms, and as the algorithm got closer from soft to edge, it was possible to distinguish more clearly with the naked eye. On the other hand, CNR gradually decreased, because the difference between the contrast hole CT number and the acrylic CT number was the same while the noise of hole increased.