• Journal of the Korean Society of Radiology
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• v.4 no.1
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• pp.25-30
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• 2010

The objective of this study was to compare the resolution and density appropriate to diagnosis in chest PA radiography. In comparing the resolution, we radiographed with conventional radiography, computed radiography(CR) and digital radiography(DR) using the linear resolution phantom(Nuclear Associates-Carle Place. N.Y.). 2 radiologists and 3 radiological technologists read the resolution value by the blind test. DR, conventional radiography and CR measured 3.95, 3.58, 3.48 resolution value respectively. In analysing the density, we chose the fifty normal chest CR and DR and conventional film. We estimated the density using by densitometer(X-rite company-Model 301) in seven regions(lung field, lung field margine, mediastinum I, mediastinum II, heart shadow I, heart shadow II, diaphragm) of chest film. We adapted to analysis the Japanese chest X-ray evaluating method and table. It was scored 0(farthest density value) to 2(nearest density value). DR scored 2 at mediastinum I, mediastinum II, heart shadow I, heart shadow II and diaphragm. On the contrary with, CR scored 2 at lung field and lung field margine. Consequently, DR superior than CR and conventional radiography film compairing density and resolution. It was due to small pixel size and post processing algorithm with digital radiography.

• Proceedings of the Korean Magnestics Society Conference
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• 2014.05a
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• pp.61-62
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• 2014

• Proceedings of the Korean Nuclear Society Conference
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• 2001.10a
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• pp.310.2-310
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• 2001

• Tuberculosis and Respiratory Diseases
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• v.66 no.6
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• pp.482-485
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• 2009

The middle mediastinum contains several important organs and pluripotent cells. It is difficult to make a definitive diagnosis in patients with middle mediastinal tumors due to a wide range of diseases. The likelihood of malignancy is influenced primarily by the following factors: patient age, size, tumor location, and the presence or absence of symptoms. We describe a case of a middle mediastinal tumor, which was suspected on chest x-ray; chest computed tomography revealed the eccentric mass of distal esophagus. This case emphasizes the diagnostic importance of the chest x-ray to the physicians. The possible differential diagnoses are reviewed.

• Tuberculosis and Respiratory Diseases
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• v.67 no.1
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• pp.59-62
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• 2009

Reexpansion pulmonary edema is not a common phenomenon after chest tube insertion but some reports from 0% to 14%. There are various resulting complications, including acute respiratory distress syndrome. We report a case of focal reexpansion pulmonary edema after chest tube insertion. A 49-year-old male came to the hospital due to ongoing dyspnea and left chest pain for 3 days. On chest X-ray, the patient had a left pneumothrax. We planned to insert a chest tube for symptom relief. To determine whether or not the chest had expanded as a result of the chest tube insertion, the patient underwent repeated chest X-rays the following day. The patient experienced brief respiratory symptoms upon initial suction; a chest PA showed patchy consolidated infiltration at the inserted site. After 5 days of conservative management, the recovered completely.

• Journal of Chest Surgery
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• v.36 no.12
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• pp.991-994
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• 2003

Primary leiomyosarcomas are rare tumors of the lungs. No typical roentgenographic findings of unusual complex of symptoms distinguish this tumor. The most common therapy is surgical resection. Prognosis and significant survivorship are related to the size, grade, metastasis of the lesion. A 25-year-old female patient with chest pain and cough was admitted. In chest X-ray and CT scan, there was a pulmonary nodule in left upper lung field, She was taken a percutaneous needle aspiration biopsy. The result was a spindle cell tumor. Left upper lobe lobectomy was done, and pathologic diagnosis was a low grade leiomyosarcoma arising from left bronchus. During 5 years of follow-up period, she has not shown any metastasis or local recurrence.

• Journal of radiological science and technology
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• v.2 no.1
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• pp.45-50
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• 1979

For this study, 2,712 sheets of the chest x-ray films of neonatuses, infants and early children were observed statistically and then the following results were obtained: 1. Seasonal increment of patients was overwhelming in spring and summer in compare with in autumn and winter. 2. Males was majority in distribution by sex. Neonatal and infancy group was the largest in number by forming 29.46% in distribution by age group and then follows six-years group(14.75%), one-year group(13.64%) and five-years group(12.61%) 3. In radiographical projection for chest, a great proportion was P-A projection as 53.72%. But, almost all the neonatal and infancy group and emergency patients were by A-P projection 4. As for x-ray findings, 78.47% was normality while 21.53% was abnormality. Tuberculosis(176 cases), was the largest in number in abnormal cases and next in rank was pneumonia(128 cases)and then congenital heart disease(82 cases). 5. Adequacy of exposure was disclosed as follows: 57.01% in correct-exposure 29.20% in over-exposure, 13.79% in under-exposure. 6. The x-ray beam was not restricted in 77.10% of total films. 7. "Good" formed 30.01% in position immobilizing of the patient and "ordinary" formed 38.02%, "bad" 31.97%. Especially, "Bad" formed high percentage in neonatal and infancy group.

• Tuberculosis and Respiratory Diseases
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• v.61 no.2
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• pp.157-161
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• 2006

A 70-year-old man was referred to the department of pulmonology due to blood tinged sputum and an abnormal chest X-ray. The chest X-ray and CT scans revealed a lobulated contour mass-like lesion in the left upper lung field. The bronchoscopic examination showed a whitish and polypoid mass occluding the left upper lobe bronchus. A biopsy specimen from the lesion revealed many aspergillus hyphae. Intravenous and oral itraconozole were administered over a 4 weeks period. Several months later, the size of the mass on chest X-ray increased and a percutaneous lung biopsy revealed a sarcomatoid carcinoma. We reported a case of lung cancer that was obscured by an endobronchial aspergilloma with a review of the relevant literature.

• Journal of the Korean Society of Radiology
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• v.9 no.3
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• pp.175-181
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• 2015

In this paper, we studied additional filter and Ion chamber combinations to reduce patient dose without decreasing image quality in digital chest x-ray projection. The experiment set 125 kVp, 320 mA, AEC mode. Ion chamber sensors was divided by 4 cases of combinations, then, we measured patient dose and calculated organ dose using PCXMC. Also, physical image assessment using MTF was performed. As a results, The surface entrance dose and organ dose were the lowest when selecting both left and right Ion chamber sensors under the same conditions of additional filter. In image quality assessment, The spatial frequency scored 2.494 lp/mm which was highest when selecting both right and left Ion-chambers and 0.1 mmCu filter. And to conclude, to select both right and left Ion chamber sensors and 0.1 mmCu filter will help for acquiring good quality image as well as reducing patient dose.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.11
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• pp.105-114
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• 2015

This paper proposes methods to remove background area and segment region of interest (ROI) in chest X-ray images. Conventional algorithms to improve detail or contrast of images normally utilize brightness and frequency information. If we apply such algorithms to the entire images, we cannot obtain reliable visual quality due to unnecessary information such as background area. So, we propose two effective algorithms to remove background and segment ROI from the input X-ray images. First, the background removal algorithm analyzes the histogram distribution of the input X-ray image. Next, the initial background is estimated by a proper thresholding on histogram domain, and it is removed. Finally, the body contour or background area is refined by using a popular guided filter. On the other hand, the ROI, i.e., lung segmentation algorithm first determines an initial bounding box using the lung's inherent location information. Next, the main intensity value of the lung is computed by vertical cumulative sum within the initial bounding box. Then, probable outliers are removed by using a specific labeling and the pre-determined background information. Finally, a bounding box including lung is obtained. Simulation results show that the proposed background removal and ROI segmentation algorithms outperform the previous works.