• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2011.10a
• /
• pp.554-556
• /
• 2011

The occurrence of various vascular diseases due to the need for accurate and rapid diagnosis was emphasized. Several limitations to the presence of pulmonary vascular angiography for chest CT imaging was aware of the need for diversity in medical image processing with Insight Toolkit(ITK) suggested pulmonary vascular division. In this paper, by contrast, based on the value of a two-step partitioning of the lungs and blood vessels to perform the process of splitting. Lung area segmentation of each stage image enhancement, threshold value, resulting in areas of interest cut image acquisition and acquired pulmonary vascular division in lung area obtained by applying the fill area. Partitioned on the basis of pulmonary vascular imaging to obtain three-dimensional visualization image of the pulmonary vascular analysis and diagnosis of a variety of perspectives are considered possible.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.46 no.6
• /
• pp.35-43
• /
• 2009

In the Computer Aided Diagnosis(CAD) System, the efficient way of classifying nodules from chest CT images of a patient is to perform the classification of the remaining part after the pulmonary vessel extraction. During the pulmonary vessel extraction, due to the small difference between the vessel and nodule features in imaging studies such as CT scans after having an injection of contrast, nodule maybe extracted along with the pulmonary vessel. Therefore, the pulmonary vessel extraction method plays an important role in the nodule classification process. In this paper, we propose a nodule reclassification method based on vessel thickness analysis. The proposed method consist of four steps, lung region searching step, vessel extraction and thinning step, vessel topology formation and correction step and the reclassification of nodule in the vessel candidate step. The radiologists helped us to compare the accuracy of the CAD system using the proposed method and the accuracy of general one. Experimental results show that the proposed method can extract pulmonary vessels and reclassify false-positive nodules accurately.

• Tuberculosis and Respiratory Diseases
• /
• v.42 no.6
• /
• pp.913-922
• /
• 1995

Background: When we define the pressure of pulmonary vasculature in which a recruitment of blood flow occurs as $P_I$ and the proportion of change in pulmonary artery to that in cardiac output as IR and then we compare PI and IR with pulmonary vascular resistance, we would find some problems in pulmonary vascular resistance. In other words, it is the theory that, IR should be increased mainly in pulmonary embolism in which decreases the cross sectional area of pulmonary vasculature. But there are many contradictory reports resulted from various researches and the fact is known widely that any difference exists between PVR and PI, IR. For this reason, the purpose of this study is to observe how PI and IR change at the time of the outbreak and during treatment of the pulmonary embolism, and to find out the meaning of these new indicators and the difference from the pulmonary vascular resistance used generally when we subdivide the pulmonary vascular resistance into PI and IR. Method: After making AV fistula in experimental dog, we controlled cardiac output at the intervals of 15 minute in case of three kinds(all AV fistula are obstructed, only one of fistula is open and all of fistula is open), and after evoking massive pulmonary embolism with radioactive autologous blood clots, we measured the mean pulmonary artery pressure, and calculated PI and IR. We observed the pattern of change in PI and IR, without giving the control group any specific treatment and with injecting intravenously rtPA in the Group 1 and Group 2 at the dose of 1mg per kg, for 15 minutes fot the former and 3 hours for the latter. Result: 1) Pulmonary vascular resistance showed a change similar to that of pulmonary artery pressure and in all three group, PVR increased significantly, but group 1 and group 2 showed tendency that PVR keeps on decreasing after treatment, and the rate of decrease in group 1 is more rapid than group 2 significantly. 2) Both intersection(PI) and degree(IR) are proved statistically significant, in view of the straight line relationship between cardiac output and pulmonary artery pressure, calculated by minimal regression method. 3) PI changed similarly to pulmonary vascular resistance, while in the IR which is theoretically more similar to PVR, there was no significant difference or change after rtPA infusion. Conclusion: In the pulmonary embolism, Both change in IR which means real resistance of pulmonary vasculature and PI which was developed due to secondary vasoconstriction by pulmonary embolism are reflected same time.

• Journal of Chest Surgery
• /
• v.37 no.12
• /
• pp.1025-1028
• /
• 2004

Epithelioid hemangioendothelioma (HE) is a very rare malignant tumor that is pathologically benign tumor originating from endothelial cell but clinically presents metastasis and recurrence. A 29-year-old asymptomatic man, preoperatively diagnosed as lung cancer in the left lower lung, underwent a lobectomy, a wedge lung resection of left upper lung, and partial resection of diaphragm. Left lower lobar lesion was confirmed as pulmonary epithelioid hemangioendothelioma, but the lesions of the left upper lung and diaphragm were remained calcified by spontaneous regression of HE. We report a case of subcutaneous metastasis that occurred two times at 10 months and 19 months after previous surgical treatment of pulmonary EH.

• Journal of Digital Convergence
• /
• v.16 no.2
• /
• pp.19-26
• /
• 2018

We proposed a numerical calculation of the proportion of necrotic cells in pulmonary segmentation, pulmonary vessel segmentation lung disease site for diagnosis of lung disease from chest CT images. The first step is to separate the lungs and bronchi by applying a three-dimensional labeling technique from a chest CT image and a three-dimensional region growing method. The second step is to divide the pulmonary vessels by applying the rate of change using the first order polynomial regression, perform noise reduction, and divide the final pulmonary vessels. The third step is to find a disease prediction factor in a two-step image and calculate the proportion of necrotic cells.

• Proceedings of the KTCVS Conference
• /
• 1995.10a
• /
• pp.18-18
• /
• 1995

• Proceedings of the KTCVS Conference
• /
• 1998.10a
• /
• pp.16-16
• /
• 1998

• Journal of Chest Surgery
• /
• v.37 no.11
• /
• pp.937-941
• /
• 2004

Epithelioid hemangioendothelioma, originating from the vascular endothelium, is a very rare and low-grade malignancy. World-wide, about 50 cases of pulmonary epithelioid hemangioendothelioma have been reported. This is more common in female and is usually shown as multiple nodules in both lung fields. A 41-year-old male, who had suffered from right pleuritic chest pain for 3 months, was initially diagnosed as adenocarcinoma under bronchofiberscopic biopsy. At that time, the stage of tumor according to the TNM staging was llla. He received bronchoscopic biopsy again during follow-up period and it was diagnosed as hamartoma. After surgery, the final diagnosis was pulmonary epithelioid hemangioendothelioma.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.16 no.3
• /
• pp.591-597
• /
• 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.

• Journal of Chest Surgery
• /
• v.37 no.11
• /
• pp.946-950
• /
• 2004

Hemangiopericytoma of the lung is a very rare malignant tumor despite it's high vasculities of the lung, because, this tumor arises from the pericytes enveloping capillaries. A pulmonary hemangiopericytoma was diagnosed in a 63-year-old female who had complained of cough, sputum, and intermittent chest pain for about 8 years. She was admitted to our hospital, because of progressive severe dyspnea on exertion and orthopnea for about 3 months. She was taken explothoracotomy and left pneumonectomy including evacuation of lots of blood clots due to ruptured large tumor and ineffective drainage with closed thoracic tube. She was discharged at post-operative 7 days under very good condition. She has been treated with radiotherapy&chemotherapy since then.