• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.8
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• pp.1799-1808
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• 2010

Recently the increasing collaborative research requires the remote medical and clinical data sharing and access of external institutions. In this paper, an interoperability framework between Grid and PACS using Web services is proposed and implemented in order to provide flexible and efficient medical data management. The Digital Imaging and Communications in Medicine(DICOM) standard defines medical image data exchange and transfer between PACSs and image databases. However, medical data exchange between hospitals is limited within the trusted and static environments. Moreover, DICOM does not provide medical data management and the Grid middleware does not include standard toolkit to access DICOM data. To address this issue, a Web services-based Grid Service Mediator (WGSM) which provides PACS integration and medical image data management is developed. The WGSM consists of several service mediators such as compress mediator, GridFTP mediator, RFT mediator, MyProxy mediator, MDS mediator, and RLS mediator and others. The proposed Web services-based framework provides user authentication and secure data access between PACSs in collaborative environments. In particular, the WGSM allows ordinary users to access remote PACS data in a simple and efficient manner without any the knowledge about underlying Grid middleware.

• The Journal of the Korea Contents Association
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• v.13 no.3
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• pp.271-277
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• 2013

The subjects of this study were the patients of H Dental Hospital in Busan, who visited for the purpose of treatment in patients over 18 years of age and 151 patients, analyzed the data of the results of the selection criteria of the dental health care consumer. The gender of the subjects by cross-analysis, importance order of selection criteria for dental hospital were cleanness and hygiene(78.1%), equipment and facilities(60.9%), career and word-of-mouth(57.6%), staff kindness(57.6%), ease of use(32.5%) and scale of dental hospital(22.5%), it was appeared similar in comparison of cross-analysis and average-analysis. Major consideration of the study subjects to select criteria for dental hospital was pain control(31.8%), infection control(30.5%), cost(29.8%), time(7.9%) respectively. Gender as a primary consideration to the part of a man in pain control(39.2%), women cost(39.1%) was most common (p<0.001). In dental health care consumer to select criteria, clean hygiene and infection control at the heavily appeared to affect the direction of change in the consciousness of consumers seeking and it is necessary to improve hospital services for the dental care of their qualitative changes.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.476-484
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• 2020

Purpose: This study determined the intention of obtaining long-term work by graduate nursing students. Methods: The subjects were 116 students in the fourth year of the nursing department located in G city of G province and G city of J province. A structured questionnaire was used from November 1, 2018 to November 27, 2018 for data collection. The SPSS/WIN 21.0 program was used for the collected data and the data was analyzed by t-tests, one-way ANOVA, Pearson's correlation coefficients, and stepwise multiple regression analysis. Result: The major factors influencing the intention to work were satisfaction with their academic major (β=.54, p<.001), and the career after employment in a hospital) (β=.28, p<.001). The explanatory power was 46.5% (F=51.00, p<.001). Conclusion: To increase the satisfaction of studying nursing, it is necessary to apply various educational programs to positively recognize the nursing profession and a nurse's image and increase optimism and social efficacy. There is a need to develop a tool to measure the intention of obtaining long-term nursing jobs for nursing students in hospitals. This study suggested a way to increase the intention of obtaining long-term work by improving the degree of satisfaction with nursing profession.

• Journal of the Korean Society of Radiology
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• v.15 no.5
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• pp.613-620
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• 2021

The purpose of this study is to propose a convolutional neural network model that can classify normal and abnormal(cardiomegaly) in chest X-ray images. The training data and test data used in this paper were used by acquiring chest X-ray images of patients diagnosed with normal and abnormal(cardiomegaly). Using the proposed deep learning model, we classified normal and abnormal(cardiomegaly) images and verified the classification performance. When using the proposed model, the classification accuracy of normal and abnormal(cardiomegaly) was 99.88%. Validation of classification performance using normal images as test data showed 95%, 100%, 90%, and 96% in accuracy, precision, recall, and F1 score. Validation of classification performance using abnormal(cardiomegaly) images as test data showed 95%, 92%, 100%, and 96% in accuracy, precision, recall, and F1 score. Our classification results show that the proposed convolutional neural network model shows very good performance in feature extraction and classification of chest X-ray images. The convolutional neural network model proposed in this paper is expected to show useful results for disease classification of chest X-ray images, and further study of CNN models are needed focusing on the features of medical images.

• Journal of Navigation and Port Research
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• v.42 no.6
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• pp.406-414
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• 2018

The objective of this study was to analyze the effect of characteristics of maritime telemedicine (service quality, recognition or not of service, health counselling service experience or not) on seafarer's satisfaction, and also analyze the effect of seafarer's satisfaction on loyalty. This study's data was collected from the Research Report of Survey of telemedicine service subjects in 2017 conducted in the maritime telemedicine pilot project. However, only 103 seafarers who received maritime telemedicine (Tele-Monitering) services were analyzed statistically. The main results of this study were as follows. ⅰ) Better service quality led to higher levels of satisfaction, ii) High levels of seafarer's satisfaction led to high levels of loyalty, iii) Seafarers whose age is under 50 than 30 years old are less satisfied, ⅳ) In total boarding career, Seafarers with more than 5 years but less than 10 years were more satisfied than seafarers with less than 5 years, ⅴ) Seafarers with more than 10 years but less than 15 years were more satisfied than seafarers with less than 5 years, ⅵ) Seafarers with more than 15 years but less than 20 years were more satisfied than seafarers with less than 5 years, ⅶ) Also, Seafarers in excess of 20 years were more satisfied than seafarers with less than 5 years, In conclusion, ⅰ) Better service quality led to higher levels of satisfaction and loyalty. Accordingly, the improvement of service quality is not only an important factor in improving satisfaction and loyalty, but also plays an important role in forming a positive image of maritime telemedicine. ⅱ) Seafarers with younger age and lower overall total boarding career were more satisfied. It is believed that the seafarer who are willing to use telemedicine and who are willing to refer to others are young.

• Journal of Broadcast Engineering
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• v.28 no.3
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• pp.293-301
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• 2023

Unstandardized medical data collection and management are still being conducted manually, and studies are being conducted to classify CT data using deep learning to solve this problem. However, most studies are developing models based only on the axial plane, which is a basic CT slice. Because CT images depict only human structures unlike general images, reconstructing CT scans alone can provide richer physical features. This study seeks to find ways to achieve higher performance through various methods of converting CT scan to 2D as well as axial planes. The training used 1042 CT scans from five body parts and collected 179 test sets and 448 with external datasets for model evaluation. To develop a deep learning model, we used InceptionResNetV2 pre-trained with ImageNet as a backbone and re-trained the entire layer of the model. As a result of the experiment, the reconstruction data model achieved 99.33% in body part classification, 1.12% higher than the axial model, and the axial model was higher only in brain and neck in contrast classification. In conclusion, it was possible to achieve more accurate performance when learning with data that shows better anatomical features than when trained with axial slice alone.

• Journal of the Korean Society of Radiology
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• v.17 no.3
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• pp.335-341
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• 2023

In this study, four algorithms (Standard, Bone, Dual volume, and Stent Follow up) were applied to the image of the aneurysm in cerebral angiography to reconstruct the image in 3D, and quantitatively evaluate Noise, SNR, and CNR based on the reconstructed image to find out the optimal algorithm. As an analysis method, Image J program, which can analyze images and calculate area and pixel values, was used for images reconstructed with four algorithms. In order to obtain Noise, SNR, and CNR, the region of interest (ROI) is measured by designating the point where the abnormal artery (aneurysm) is located and the surrounding normal artery in the image are measured, and the mean value and SD value are obtained. Background noise was set to two surrounding normal artery to increase reliability. The values of SNR and CNR were calculated based on the given formula. As a result, the noise was the lowest in the stent follow-up algorithm, and the SNR and CNR were the highest. Therefore, the stent follow-up algorithm is judged to be the most appropriate algorithm. The data of this study are expected to be useful as basic data for 3D image evaluation of the vascular and aneurysm in cerebral angiography, and it is believed that appropriate algorithm changes will serve as an opportunity to further improve image quality.

• Journal of the Korean Society of Radiology
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• v.83 no.3
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• pp.538-558
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• 2022

The perivascular space (PVS) of the brain, also known as Virchow-Robin space, consists of cerebrospinal fluid and connective tissues bordered by astrocyte endfeet. The PVS, in a word, is the route over the arterioles, capillaries, and venules where the substances can move. Although the PVS was identified and described first in the literature approximately over 150 years ago, its importance has been highlighted recently after the function of the waste clearing system of the interstitial fluid and wastes was revealed. The PVS is known to be a microscopic structure detected using T2-weighted brain MRI as dot-like hyperintensity lesions when enlarged. Although until recently regarded as normal with no clinical consequence and ignored in many circumstances, several studies have argued the association of an enlarged PVS with neurodegenerative or other diseases. Many questions and unknown facts about this structure still exist; we can only assume that the normal PVS functions are crucial in keeping the brain healthy. In this review, we covered the history, anatomy, pathophysiology, and MRI findings of the PVS; finally, we briefly touched upon the recent trials to better visualize the PVS by providing a glimpse of the brain fluid dynamics and clinical importance of the PVS.

• The Korean Journal of Nuclear Medicine Technology
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• v.23 no.2
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• pp.13-19
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• 2019

Purpose Tc-99m HMPAO is widely used radiopharmaceutical for brain perfusion SPECT. Tc-99m HMPAO is chemically unstable and is liable to show deterioration of labeling efficiency due to high incidence of secondary Tc-99m HMPAO complex, free pertechnetate and reduced-hydrolyzed Tc-99m. In this study, we investigated whether sialogogues administration could reduce the impurities of Tc-99m HMPAO. Materials and Methods In thirty subjects(20 male and 10 female, age range 19~89 years, mean age $60.7{\pm}14.5years$), brain perfusion SPECT were performed at basal and citric acid stimulation states consecutively after injection of 555 MBq of Tc-99m HMPAO. In the salivary glands, the uptake coefficient was calculated using Siemens processing program. Statistical comparison between before and after the citric acid stimulation performed paired t-test. P value less than 0.05 was regarded as statistically significant. Results Salivary glands uptake was $12900{\pm}3101$ counts in basal and $10677{\pm}2742$ counts in citric acid stimulation states. Unnecessary impurities in the body is much decreased after citric acid administration(t=10.78, P<0.05). The image quality was much improved after administration of citric acid and the regional cerebral perfusion was clearly from demarcated the background. Conclusion The impurity is distributed throughout the body particularly in the salivary glands and nasal mucosa when Tc-99m HMPAO brain perfusion SPECT is performed. If this impurities is not removed, the quality of the image may deteriorate, resulting in errors in visual evaluation. The use of sialogogues could be helpful for decreasing unnecessary impurities in the body.

• Health Policy and Management
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• v.24 no.2
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• pp.153-163
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• 2014

Background: This study aims to explore the effects of quality of care, image, and role performance perceived by community residents on medical service satisfaction to public hospitals. Methods: The subjects of this study were selected in the community residents around 39 district public hospitals. The questionnaire were included 4 factors and 16 items. The data were collected utilizing call-interview by a survey company. Results: The community satisfaction was positively correlated with quality of care, image, and role performance of public hospitals (p<0.001). As the results of multiple logistic regression, the significant variables of community satisfaction were quality of care (odds ratio [OR], 1.353; 95% confidence interval [CI], 1.211 to 1.511), image (OR, 1.487; 95% CI, 1.280 to 1.727), role performance (OR, 1.240; 95% CI, 1.085 to 1.416) among subjects having use experience of public hospitals. The significant variables of community satisfaction were quality of care (OR, 1.240; 95% CI, 1.175 to 1.309), image (OR, 1.328; 95% CI, 1.232 to 1.432), age (OR, 3.051; 95% CI, 1.385 to 6.724), monthly incomes (OR, 0.420; 95% CI, 0.198 to 0.892) among subjects not-having use experience of public hospitals. Conclusion: Public hospitals have to effort to improve image and satisfaction of community through providing quality of care, and role performance. It is possible to support them by the central and local government.