• Title/Summary/Keyword: Vessel Extraction

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Extraction of Vessel Width in Coronary Angiography Images (관상동맥 조영영상에서의 혈관 폭 추출)

  • Kim, Seong-Hu;Lee, Ju-Won;Kim, Joo-Ho;Choi, Dae-Seob;Lee, Gun-Ki
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.11
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    • pp.2538-2543
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    • 2012
  • The Percutaneous Coronary intervention is a typical way of testing which could be performance to treat a stenosed region by inserting a stent using catheter. In this case, choosing the best stent amongst various kinds of stent for performing an intervention is the most difficult process. For the reason, a width of the blood vessel which is stenosed must be correctly measured to help an operator choose right size of stent. So based on pixel, a width of the blood vessel measured by using the way of Euclidean distance after designing a center-line of vessel from a certain point assigned by operator is shown as a profile in this study. This study would be used as a goof reference for operators when choosing right size of stent.

Pulmonary vascular Segmentation and Refinement On the CT Scans (컴퓨터 단층 촬영 영상에서의 폐혈관 분할 및 정제)

  • Shin, Min-Jun;Kim, Do-Yeon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.3
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    • pp.591-597
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    • 2012
  • Medical device performance has been advanced while images are expected to be acquired with further higher quality and pertinent applicability as images have been increasing in importance in analyzing major organs. Recent high frequency of image processing by MATLAB in image analysis area accounts for the intent of this study to segment pulmonary vessels by means of MATLAB. This study is to consist of 3 phases including pulmonary region segmentation, pulmonary vessel segmentation and three dimensional connectivity assessment, in which vessel was segmented, using threshold level, from the pulmonary region segmented, vessel thickness was measured as two dimensional refining process and three dimensional connectivity was assessed as three dimensional refining process. It is expected that MATLAB-based image processing should contribute to diversity and reliability of medical image processing and that the study results may lay a foundation for chest CT images-related researches.

Defects Classification with UT Signals in Pressure Vessel Weld by Fuzzy Theory (퍼지이론을 이용한 압력용기 용접부 초음파 결함 특성 분류)

  • Sim, C.M.;Choi, H.L.;Baik, H.K.
    • Journal of the Korean Society for Nondestructive Testing
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    • v.17 no.1
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    • pp.11-22
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    • 1997
  • It is very essential to get the accurate classification of defects in primary pressure vessel and piping welds for the safety of nuclear power plant. Ultrasonic testing has been widely applied to inspect primary pressure vessel and piping welds of nuclear power plants during PSI / ISI. Classification of flaws in weldments from their ultrasonic scattering signals is very important in quantitative nondestructive evaluation. This problem is ideally suited to a modern ultrasonic Pattern recognition technique. Here, a brief discussion on systematic approach to this methodology is presented including ultrasonic feature extraction, feature selection and classification. A stronger emphasis is placed on Fuzzy-UTSCS (UT signal classification system) as efficient classifiers for many practical classification problems. As an example Fuzzy-UTSCS is applied to classify flaws in ferrite pressure vessel weldments into two types such as linear and volumetric. It is shown that Fuzzy-UTSCS is able to exhibit higher performance than other classifiers in the defect classification.

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Liquid chromatography-tandem mass spectrometric analysis of oleracone D and its application to pharmacokinetic study in mice

  • Lim, Dong Yu;Lee, Tae Yeon;Lee, Jaehyeok;Song, Im-Sook;Han, Young Taek;Choi, Min-Koo
    • Analytical Science and Technology
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    • v.34 no.5
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    • pp.193-201
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    • 2021
  • We have demonstrated a sensitive analytical method of measuring oleracone D in mouse plasma using a liquid chromatography-tandem mass spectrometry (LC-MS/MS). Oleracone D and oleracone F (internal standard) in mouse plasma samples were processed using a liquid-liquid extraction method with methyl tertbutyl ether, resulting in high and reproducible extraction recovery (80.19-82.49 %). No interfering peaks around the peak elution time of oleracone D and oleracone F were observed. The standard calibration curves for oleracone D ranged from 0.5 to 100 ng/mL and were linear with r2 of 0.992. The inter- and intra-day accuracy and precision and the stability fell within the acceptance criteria. The pharmacokinetics of oleracone D following intravenous and oral administration of oleracone D at doses of 5 mg/kg and 30 mg/kg, respectively, were investigated. When oleracone D was intravenously injected, it had first-order elimination kinetics with high clearance and volume of distribution values. The absolute oral bioavailability of this compound was calculated as 0.95 %, with multi-exponential kinetics. The low aqueous solubility and a high oral dose of oleracone D may explain the different elimination kinetics of oleracone D between intravenous and oral administration. Collectively, this newly developed sensitive LC-MS/MS method of oleracone D could be successfully utilized for investigating the pharmacokinetic properties of this compound and could be used in future studies for the lead optimization and biopharmaceutic investigation of oleracone D.

Axon Extraction Using Vessel Enhancement Filter from a Mitochondria Image Sequence (혈관 증폭 필터를 이용한 미토콘드리아 영상 시퀀스에서의 축색돌기 검출)

  • Hong, Sungmin;Shim, Hackjoon;Chung, Yoojin;Lee, Sang Uk
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2011.07a
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    • pp.454-455
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    • 2011
  • 미토콘드리아의 수송은 치매, 다형성 경화증, 알츠하이머병 등의 신경성 질환과 관련하여 활발하게 연구되고 있다. 하지만 미토콘드리아 영상의 경우 일반 영상에 비해 노이즈(noise)가 많고 초당 프레임 수(frame-persecond)가 낮기 때문에 분석이 쉽지 않다. 이에 따라 미토콘드리아의 수송 통로인 축색돌기(axon)를 사전에 검출하고자 하는 연구들이 진행되고 있다. 본 논문에서는 이러한 배경을 바탕으로 미토콘드리아 영상에서 축색돌기를 자동으로 분리, 검출해내는 알고리즘을 제안한다. 배경이 비해 밝게 착색되어 있다는 미토콘드리아의 특성을 이용하여 축색돌기를 구분하는 데에 최대 화소값 기법(maximum intensity)과 혈관 증폭 필터(vessel enhancement filter)를 이용한다. 두 기법을 통해 얻은 축색돌기의 파편들은 로젠펠드 세선화(rosenfeld thinning)와 선형 보간법(linear interpolation)을 이용하여 연결되고 최종적인 검출 결과를 얻어낸다. 제시된 실험결과는 영상에서 전체적인 축색돌기가 성공적으로 검출되고 있음을 보여준다.

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Effect of Temperature and Stirring speed on the Processing of Plum Concentrated Extract. (온도 및 교반속도가 매실엑기스 가공에 미치는 영향)

  • 이상대;조숙현
    • Food Science and Preservation
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    • v.3 no.2
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    • pp.121-129
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    • 1996
  • Plum highlighted as a health food is needed to diversify the processed products because labor storage is big problem since the fruit was producted massively in June. The Plum was extracted by the pressing type extractor after washing, drying and removing the seed by seed separator. The crude extract was concentrated with stainless steel vessel at different temperature and stirring speed. This study was obtained as follows. The sugar content of fresh plum concentrated extract was 55.3~58.3$^{\circ}$Brix, and of the freezing plum concentrated extract was 75.5~70.3$^{\circ}$Brix. In color difference, the freezing plum concentrated extract was more deep black than fresh plum. In change patten of pH, it was decreased as concentration was proceed. The final pH was 2.3~2.2 in fresh plum, and 1.8~2.2 in freezing plum. The total acid content of fresh plum concentrated extract and the freezing plum was 45.4~47.8, 60.3~60.9%, respectively. The content of evaporation at 85$\pm$5$^{\circ}C$ was constant irrespective of stirring speed. The yield of extraction of fresh plum was higher than freezing plum. According to this results, the use of stainless vessel, 50rpm, which gave a highly qualified plum concentrated extract.

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Wave Information Estimation and Revision Using Linear Regression Model (선형회귀모델을 이용한 파랑 정보 예측 및 보정)

  • Lim, Dong-hee;Kim, Jin-soo;Lee, Byung-Gil
    • Journal of Korea Multimedia Society
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    • v.19 no.8
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    • pp.1377-1385
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    • 2016
  • Conventional X-band marine radar has been used as one of the effective tools for collecting and retrieving ocean surface information parameters for three decades. Several wave information extracting algorithms have been designed in such a way that they can be utilized for efficiently estimating sea surface wave parameters such as current velocities, wave direction, significant wave heights in VTS (Vessel Traffic Service). However, their performances are still restricted. For the purpose of overcoming the performance limits, in this paper, first the conventional algorithms are analyzed and their performances are compared, and then a new control algorithm is proposed. Furthermore, we try to improve the estimation performances of typical wave parameters including wave directions and significant wave heights by introducing linear regression model in the process of computing wave information extraction. Through several simulations with the X-band radar images, it is shown that the proposed method is very effective in estimating the wave information compared to the real measured buoy data.

Extraction Efficiency and Stability of Anthocyanin Pigments in Black Soybean Seed Coat (검정콩 종피 안토시아닌의 적정 추출 효율 및 안정성)

  • Kim, Sun-Young;Ko, Kwang-Oh;Lee, Young-Sang;Kim, Hee-Seon;Kim, Yong-Ho
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.53 no.spc
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    • pp.84-88
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    • 2008
  • This study was carried out to develop the methods for efficient extracting and stabilization of anthocyanin pigments in black colored soybean. The optimum solvent concentration for the highest pigment extraction from seed coat of black colored soybean was 60% MeOH with 0.1% HCl in laboratory test. The higher temperature of the solvent until $60^{\circ}C$ led to better extraction efficiency of anthocyanin. The anthocyanin extracts maintained almost its stability in strong acidity area whereas it destroyed markedly over pH 4. Also anthocyanin extracts was stable for a while under weak light condition, but it showed rapid degradation of pigment color and markedly decreased HPLC value for anthocyanin content after one month storage days. In case storage temperature and instrument, glass vessel on low temperature ($4^{\circ}C$) was good storage condition among some treatments. And C3G was more stable than other pigments.

Comparison of Liquid Membrane Permeation with Solvent Extraction on Separation of Valuable Aromatics in Light Cycle Oil (접촉분해경유에 함유된 유용방향족 성분의 분리에 대한 유화 액막법과 용매 추울법의 비교)

  • 김수진;김상채;배효광
    • Membrane Journal
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    • v.8 no.3
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    • pp.138-147
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    • 1998
  • This paper compared selectivities and mass transfer rates of valuable aromatics (naphthalene group: carbon number 10-12) in the light cycle oil obtained from solvent extraction (SE) with those obtained from liquid membrane permeation (LMP). An aqueous solution of dimethylsulfoxide (DMSO) and an aqueous solution of saporrin and DMSO were used as extraction solvent of SE and the membrane phase of LMP, respectivdy. Selectivities of naphthalene group in reference to n-nonane obtained from SE runs were rapidly increased with decreasing the operating temperature, whereas, those obtained from LMP runs were remained constant throughout the operating temperature. At room temperature, selectivities of naphthalene group obtained from SE were greater than those from SE. Furthermore, mass transfer rates of naphthalene group by SE and LMP were measured in a baffled batch stirred vessel. It was found that the extraction rates of SE were faster by about 280 times than the permeation rates of LMP.

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Performance evaluation of vessel extraction algorithm applied to Aortic root segmentation in CT Angiography (CT Angiography 영상에서 대동맥 추출을 위한 혈관 분할 알고리즘 성능 평가)

  • Kim, Tae-Hyong;Hwang, Young-sang;Shin, Ki-Young
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.9 no.2
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    • pp.196-204
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    • 2016
  • World Health Organization reported that heart-related diseases such as coronary artery stenoses show the highest occurrence rate which may cause heart attack. Using Computed Tomography angiography images will allow radiologists to detect and have intervention by creating 3D roadmapping of the vessels. However, it is often complex and difficult do reconstruct 3D vessel which causes very large amount of time and previous researches were studied to segment vessels more accurate automatically. Therefore, in this paper, Region Competition, Geodesic Active Contour (GAC), Multi-atlas based segmentation and Active Shape Model algorithms were applied to segment aortic root from CTA images and the results were analyzed by using mean Hausdorff distance, volume to volume measure, computational time, user-interaction and coronary ostium detection rate. As a result, Extracted 3D aortic model using GAC showed the highest accuracy but also showed highest user-interaction results. Therefore, it is important to improve automatic segmentation algorithm in future