• Korean Journal of Radiology
• /
• 제22권5호
• /
• pp.735-741
• /
• 2021

Objective: To evaluate circularity as a quantitative shape factor of small renal tumor on computed tomography (CT) in differentiating fat-poor angiomyolipoma (AML) from renal cell carcinoma (RCC). Materials and Methods: In 257 consecutive patients, 257 pathologically confirmed renal tumors (either AML or RCC less than 4 cm), which did not include visible fat on unenhanced CT, were retrospectively evaluated. A radiologist drew the tumor margin to measure the perimeter and area in all the contrast-enhanced axial CT images. In each image, a quantitative shape factor, circularity, was calculated using the following equation: 4 x π x (area ÷ perimeter²). The median circularity (circularity index) was adopted as a representative value in each tumor. The circularity index was compared between fat-poor AML and RCC, and the receiver operating characteristic (ROC) curve analysis was performed. Univariable and multivariable binary logistic regression analysis was performed to determine the independent predictor of fat-poor AML. Results: Of the 257 tumors, 26 were AMLs and 231 were RCCs (184 clear cell RCCs, 25 papillary RCCs, and 22 chromophobe RCCs). The mean circularity index of AML was significantly lower than that of RCC (0.86 ± 0.04 vs. 0.93 ± 0.02, p < 0.001). The mean circularity index was not different between the subtypes of RCCs (0.93 ± 0.02, 0.92 ± 0.02, and 0.92 ± 0.02 for clear cell, papillary, and chromophobe RCCs, respectively, p = 0.210). The area under the ROC curve of circularity index was 0.924 for differentiating fat-poor AML from RCC. The sensitivity and specificity were 88.5% and 90.9%, respectively (cut-off, 0.90). Lower circularity index (≤ 0.9) was an independent predictor (odds ratio, 41.0; p < 0.001) for predicting fat-poor AML on multivariable logistic regression analysis. Conclusion: Circularity is a useful quantitative shape factor of small renal tumor for differentiating fat-poor AML from RCC.

• 전자공학회논문지
• /
• 제50권10호
• /
• pp.162-170
• /
• 2013

최근 보행자의 교통안전 개선을 위한 목적으로 차량에 장착되는 보행자 보호 시스템(PPS, Pedestrian Protection System)에 대한 관심과 요구가 증가하고 있다. 본 연구에서는 보행자 검출 후보 윈도우 추출과 셀(cell) 단위 히스토그램 기반의 HOG 특징 계산 방법을 제안하였다. 보행자 검출 후보 윈도우 추출은 주변밝기 비율체크, 수직방향 에지투영, 에지펙터(edge factor), 그리고 PCA(Principal Component Analysis) 복원 영상을 이용하였다. Dalal 의 HOG 는 겹침 블록 상의 모든 픽셀에 대해 가우시안 가중치와 삼선형보간에 의한 히스토그램 계산이 필요한데 반하여 제안하는 방법은 단위 셀마다 가우시안 가중 및 히스토그램을 계산하고 그것들을 인접 셀과 결합하므로 연산 속도가 빠르다. 제안하는 PCA 복원 에러 기반의 보행자 검출 후보 윈도우 추출은 보행자의 머리와 어깨 영역과의 차이를 기준으로 배경을 효율적으로 분류한다. 제안하는 방법은 카메라 컬리브레이션이나 스테레오 카메라를 이용한 거리 정보 없이도 영상만으로 전통적인 HOG 에 비하여 연산속도가 크게 개선된다.

• 한국통신학회논문지
• /
• 제38C권9호
• /
• pp.781-786
• /
• 2013

Multiplexing information over parallel data channels based on RF MIMO concept is possible to achieve considerable data rates over large transmission ranges with just a single transmitting element. Visual multiplexing MIMO techniques will send independent streams of bits using the multiple elements of the light transmitter array and recording over a group of camera pixels can further enhance the data rates. The proposed system is a combination of the reliance on computer vision algorithms for tracking and OOK cell frame modulation. LED array are controlled to transmit message in the form of digital information using ON-OFF signaling with ON-OFF pulses (ON = bit 1, OFF = bit 0). A camera captures image frames of the array which are then individually processed and sequentially decoded to retrieve data. To demodulated data transmission, a motion tracking algorithm is implemented in OpenCV (Open source Computer Vision library) to classify the transmission pattern. One of the most advantages of proposed architecture is Computer Vision (CV) based image analysis techniques which can be used to spatially separate signals and remove interferences from ambient light. It will be the future challenges and opportunities for mobile communication networking research.

• Bulletin of the Korean Chemical Society
• /
• 제33권12호
• /
• pp.3998-4002
• /
• 2012

With continuing progress of nanotechnologies and various applications of nanoparticles, one needs to develop a quick and fairly standard assessment tool to evaluate cytotoxicity of nanoparticles. However, much cytotoxicity studies on the interpretation of the interaction between nanoparticles and cells are non-mechanistic and time-consuming. Here, we propose a simple screening method for the analysis of the interaction between several AgNPs (5.3 to 64 nm) and fluorescence-dye containing vesicles ($12{\mu}m$) acting as a biomimetic cell-membrane. Fluorescence-dye containing vesicle was prepared using a fluorescence probe (1,6-diphenyl-1,3,5-hexatryene), which was intercalated into the lipid bilayer due to their hydrophobicity. Zeta potential of all materials except for bare-AgNPs (+32.8 mV) was negative (-26 to -54 mV). The morphological change (i.e., rupture and fusion of vesicle, and release of dye) after mixing of the vesicle and AgNPs was observed by fluorescence microscopy, and fluorescence image were different with coating materials and surface charge of x-AgNPs. In the results, we found that the surface charge of nanoparticles is the key factor for vesicle rupture and fusion. This proposed method might be useful for analyzing the cytotoxicity of nanoparticles with cell-membranes instead of in vitro or in vivo cytotoxicity tests.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제11권3호
• /
• pp.1670-1683
• /
• 2017

Mitotic event recognition is a crucial and challenging task in biomedical applications. In this paper, we introduce the slow feature analysis and propose a fully-automated mitotic event recognition method for cell populations imaged with time-lapse phase contrast microscopy. The method includes three steps. First, a candidate sequence extraction method is utilized to exclude most of the sequences not containing mitosis. Next, slow feature is learned from the candidate sequences using slow feature analysis. Finally, a hidden conditional random field (HCRF) model is applied for the classification of the sequences. We use a supervised SFA learning strategy to learn the slow feature function because the strategy brings image content and discriminative information together to get a better encoding. Besides, the HCRF model is more suitable to describe the temporal structure of image sequences than nonsequential SVM approaches. In our experiment, the proposed recognition method achieved 0.93 area under curve (AUC) and 91% accuracy on a very challenging phase contrast microscopy dataset named C2C12.

• 한국패류학회지
• /
• 제26권3호
• /
• pp.245-254
• /
• 2010

For the studies of germ cell development and maturation in the ovary, the gametogenic cycle and the number of spawning seasons per year in female Ruditapes philippinarum were investigated by quantitative statistical analysis using an Image Analyzer System. Compared with the results by qualitative and quantitative analyses, monthly variations in female gonad indice by qualitative histological analysis showed a pattern similar to that of the female gametogenic cycle calculated by quantitative statistical analysis. The number of spawning seasons occurred once per year, from June to October. In quantitative statistical analysis using an image analyzer system, monthly changes in the portions (%) of the ovary area to total tissue areas in females increased in March and reached a maximum in May, and then showed a rapid decrease from June to October when spawning occurred. And also monthly changes in portions (%) of follicle areas to the ovary area and in portions of oocyte areas to ovarian tissue areas in females began to increase in March and reached a maximum in May, and then. rapidly dropped from June to October when spawnig occurred. From these data, it is apparent that the number of spawning seasons occurred once per year, from June to October. Monthly changes in the number of the oocyte per $mm^2$ and in mean diameter of the oocyte in captured image which were calculated for each female slide showed a maximum in May and reached the minimum from December to February. Therefore, female R. philippinarum showed a unimodal gametogenic cycle during the year.

• 한국정보통신학회논문지
• /
• 제13권11호
• /
• pp.2283-2288
• /
• 2009

인간의 시각정보처리는 망막에서 입력된 영상을 시각피질에 전달될 때 많은 특성을 가지고 있다. 그 중에서 확대성질과 방향성에 대한 민감도를 분석하여 영상인식에 미치는 영향을 분석하고자 한다. 확대성질은 중심와의 영역이 시각피질에서 확대영역으로 할당되는 사실을 확대배율이라고 부른다. 방향수직반응의 가중치와 수평 및 대각선반응의 가중치를 여러 가지로 변동하여 영상의 인식률을 비교함으로써 수직반응 정도에 매우 민감함을 보이며 차후 인간시각모델 구성에 적용하고자 한다.

• 대한기계학회논문집B
• /
• 제37권3호
• /
• pp.259-266
• /
• 2013

광학 현미경을 통해 일정한 시간 간격으로 얻은 세포 이미지로부터 세포 변화를 자동적으로 추적 및 분석하는 것이 세포 트래킹이라고 한다. 세포 변화 과정에서 이웃에 있는 세포들이 겹쳐져 있는 상태를 클러스터라고 하며 세포트래킹에서 클러스터를 다시 세포로 분리하는 작업은 매우 중요하다. 본 논문에서는 타원 근사법을 기반으로 클러스터를 분리하기 위한 알고리즘을 제안한다. 클러스터의 외곽선을 추출한 후 외곽선의 오목정점을 이용하여 클러스터를 라인 세그먼트들로 분리한 다음 휴리스틱을 이용하여 라인 세그먼트들을 결합해 가며 근사 타원을 생성한다. 실험 결과 두 개의 세포가 겹쳐진 클러스터의 경우 평균적으로 91%, 세 개의 세포가 겹쳐진 경우 평균적으로 84% 그리고 겹쳐진 세포의 개수가 네 개 이상인 경우 약 73%의 정확도로 클러스터를 분리해 주었다.

• 대한기관식도과학회:학술대회논문집
• /
• 대한기관식도과학회 1993년도 제27차 학술대회 초록집
• /
• pp.89-89
• /
• 1993

후두의 상피세포에서 발생하는 질환중 전암성병변은 이형성(dysplasia)과 상피내암(carcinoma in situ)등이 있으며, 이들은 진행하게되면 침윤성 악성병변으로 전환하게 된다. 따라서 전암성 병변의 정도를 정확히 구분 및 파악함으로써 침윤성 암종으로의 전환여부를 미리 예견한다는 것은 악성 후두질환의 병태파악 및 예방에 중요한 역할을 차지한다. 이에 저자들은 최근 후두경하에 절제생검을 시행한 26례(침윤성 편평상피세포암 14례, 상피증식증 5례, 성대결절 7례)를 대상으로, 22례에서는 생검조직을 touch imprint법으로 도말하여 Feulgen염색한 후 CAS 200 화상분석기로 DNA함량분석을 시행하였고, 전례에 대하여 파라핀 포매조직에서 Ki-67 단크론성 항체(M1B1)를 이용하여 면역효소염색을 시행한 후 화상분석기로 양성표현율을 측정분석하여 다음과 같은 결과를 얻었다. 1) Ki-67 양성표현율은 침윤성 암종에서 31.65$\pm$11.59%, 상피증식증에서는 20.14$\pm$3.38%, 성대결절에서는 11.66$\pm$3.02%이었다. 2) 핵산지수(DNA index)는 침윤성 암종의 경우 비배수성이 10례 중 7례(70%), 상피증식증에서는 5례중 2례(40%), 성대결절에서는 7례 모두 이배수성을 보였다. 3) DNA함량분석에서 5기와 G2/M기를 합한 증식지수(PI)는 침윤성 암종에서 23.42$\pm$11.33%, 상피증식증에서는 13.09$\pm$10.90%, 성대결절에서는 4.50$\pm$1.19%로 침윤성 암종에서 가장 높았다. 이상의 성적에서 성대의 생검조직과 같은 미세조직으로부터도 DNA함량검사와 함께 Ki-67 양성표현율을 측정함으로써 전암성병변의 악성화 가능성 정도를 예견할 수 있었으며, 악성종양 환자의 예후판정에 도움을 얻을 수 있으리라 생각된다.

• Korean Journal of Radiology
• /
• 제21권8호
• /
• pp.967-977
• /
• 2020

Objective: To evaluate the effects of tube voltage on image quality in coronary CT angiography (CCTA), the estimated radiation dose, and DNA double-strand breaks (DSBs) in peripheral blood lymphocytes to optimize the use of CCTA in the era of low radiation doses. Materials and Methods: This study included 240 patients who were divided into 2 groups according to the DNA DSB analysis methods, i.e., immunofluorescence microscopy and flow cytometry. Each group was subdivided into 4 subgroups: those receiving CCTA only with different tube voltages of 120, 100, 80, or 70 kVp. Objective and subjective image quality was evaluated by analysis of variance. Radiation dosages were also recorded and compared. Results: There was no significant difference in demographic characteristics between the 2 groups and 4 subgroups in each group (all p > 0.05). As tube voltage decreased, both image quality and radiation dose decreased gradually and significantly. After CCTA, γ-H2AX foci and mean fluorescence intensity in the 120-, 100-, 80-, and 70-kVp groups increased by 0.14, 0.09, 0.07, and 0.06 foci per cell and 21.26, 9.13, 8.10, and 7.13 (all p < 0.05), respectively. The increase in the DNA DSB level in the 120-kVp group was higher than those in the other 3 groups (all p < 0.05), while there was no significant difference in the DSBs levels among these latter groups (all p > 0.05). Conclusion: The 100-kVp tube voltage may be optimal for CCTA when weighing DNA DSBs against the estimated radiation dose and image quality, with further reductions in tube voltage being unnecessary for CCTA.