• Journal of Digital Contents Society
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• v.17 no.3
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• pp.197-202
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• 2016

This paper suggested that medical image database construction technique that generated and recognized from variable medical device and professional medical experts for the formalization and pattern extraction from informal medical images. And then we transformed informal image characteristics to digital data, and generated the meaningful pattern matching informations. Through this experienced works, so many related researchers can easily access the medical images database and use this formalized image informations on the variable fields.

• Proceedings of the Korean Society of Medical Physics Conference
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• 2002.09a
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• pp.461-463
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• 2002

Image quality and selection of optimized window for good quality reconstruction in coronary angiography using multi-detector row CT (MDCT) have not been studied by heart rate and its variation. Therefore, the effect of heart rate and its variation was systemically analyzed. Eighty-three patients were undergone contrast-enhanced coronary angiography using MDCT. In this study, sixty cases were enrolled. Two radiologists graded image quality as follows: 4, excellent; 3, good; 2, fair; l, bad. The starting points of the reconstruction window were chosen at seventy and forty percent of R wave interval. Optimized window was scored as 1 when 40% reconstruction was better quality than 70%, as 2 when 40% reconstruction is same as 70%, and as 3 when 70% reconstruction was better than 40%. Regression analysis was performed. The range of variation of beats per minute (BPM) was well correlated with image quality (r=-0.55, p=0.000), however correlation with optimized window percentage was not statistically significant (p=0.969). By contraries, median value of BPM was comparatively well correlated with optimized window grade (r=-0.24, p=0.086). Median value of BPM was not well correlated with image quality (r=0.l70, p=0.l97). Image quality is more affected by variation of heart rate (VHR) than by higher heart rate. Selection of optimized reconstruction window for good image quality is mainly affected by heart rate and there is a tendency that systolic phase reconstruction is better in image quality than diastolic reconstruction in higher heart rate.

• The KIPS Transactions:PartB
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• v.15B no.6
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• pp.553-560
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• 2008

The amount of image data used in medical institution is increasing rapidly with great development of medical technology. Therefore, an automation method that use image processing description, rather than manual macrography of doctors, is required for the analysis large medical data. Specially, medical image registration, which is the process of finding the spatial transform that maps points from one image to the corresponding points in another image, and 3D analysis and visualization skills for a series of 2D images are essential technologies. However, a high establishment cost raise a budget problem, and hence small scaled hospitals hesitate importing these medical visualizing system. In this paper, we propose a visualization system which allows user to manage datasets and manipulates medical images registration using an open source graphics tool - VTK(Visualization Tool Kit). The propose of our research is to get more accurate 3D diagnosis system in less expensive price, compared to existing systems.

• The Korean Journal of Emergency Medical Services
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• v.27 no.1
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• pp.71-77
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• 2023

Purpose: This study aimed to analyze the research trends on the image of emergency medical technicians (EMTs) in studies published in Korean journals. Methods: Electronic databases were searched, including RISS, KMbase, and KCI. Eight studies from 21 references screened were included in the analysis. Results: The number of studies related to the image of EMTs is severely lacking. The research methods and participants are limited to questionnaire surveys and EMT students, respectively. In addition, most of the studies used modified tools developed for image measurement of other occupations. Conclusion: Image research for EMTs should include various methods and participants. Standardized measurement tool development and image-related research should be steadily conducted.

• Journal of radiological science and technology
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• v.42 no.2
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• pp.119-130
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• 2019

Positron emission tomography (PET) is widely used imaging modality for effective and accurate functional testing and medical diagnosis using radioactive isotopes. However, PET has difficulties in acquiring images with high image quality due to constraints such as the amount of radioactive isotopes injected into the patient, the detection time, the characteristics of the detector, and the patient's motion. In order to overcome this problem, we have succeeded to improve the image quality by using the dynamic image reconstruction method based on singular value decomposition. However, there is still some question about the characteristics of the proposed technique. In this study, the characteristics of reconstruction method based on singular value decomposition was estimated over computational simulation. As a result, we confirmed that the singular value decomposition based reconstruction technique distinguishes the images well when the signal - to - noise ratio of the input image is more than 20 decibels and the feature vector angle is more than 60 degrees. In addition, the proposed methode to estimate the characteristics of reconstruction technique can be applied to other spatio-temporal feature based dynamic image reconstruction techniques. The deduced conclusion of this study can be useful guideline to apply medical image into SVD based dynamic image reconstruction technique to improve the accuracy of medical diagnosis.

• The Journal of Internal Korean Medicine
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• v.35 no.3
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• pp.354-365
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• 2014

Objectives: Recently, the utility rate of Korean-Medical service has been a 6 percent of the domestic market share in medical service, so there is a lot of effort to increase utility rate of Korean medical service. However, in spite of the importance of image to promotion, there are still few studies about image of Korean medicine. Thus, the purpose of this study was to suggest ways to increase utility rate of Korean medical service by surveying and analysing recognition of image of Korean Medicine. Methods: People aged between 20s and 40s were targets of investigation. We divided respondents into three groups depending on relation approximation with Korean medicine (weak-related group, normal-related group, strong-related group). The questionnaire consisted of questions about images of Korean medicine, conducted through online and personal interviews. Results: In total, 282 members responded to the survey and the results of the analysis were as follows. The more a person was related to Korean medicine, the greater the tendency to experience Korean medical service. The most associated taste about Korean medical institutions was Bitterness, smell was smell of Korean medicine, color was yellow, feeling was warm, sound (instrument) was drum, and treatment pattern was Acupuncture, respectively. The most associated image of acupuncture was painful, and the most associated age of Korean medical doctors was 40s. The most associated general term of Korean medicine was physical constitution, and most associated pathological term was extravasated blood. Conclusions: This study can be very useful for future image marketing of Korean medicine because there have been no other studies about image on Korean medicine before now. But this study has also some limits like area, respondent selection, etc., so a more detailed and comprehensive survey is needed.

• The Korean Journal of Emergency Medical Services
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• v.18 no.1
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• pp.29-41
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• 2014

Purpose : The purpose of the study is investigate the images towards emergency medical technician(EMT) perceived by secondary school teachers. Methods : The data was collected from July 30 to 31, 2012. The subjects were 337 secondary school teachers. SPSS Statistics 18.0 was used for internal consistency reliability, descriptive statistical analysis and factor analysis. Results : Those who contacted with EMT consisted of 57.6% which was higher than those who had not(42.4%). Before contact, the gender and teaching subject showed a significant difference of p =.027 and p =.002, respectively. The average on the image towards EMT showed a positive points of $5.68({\pm}0.73)$ out of 7 and the most positive image was 'practical-theoretical' of $6.33({\pm}1.12)$. Factor analysis of EMT image was analyzed based on 3 factors including sincerity($5.89{\pm}0.89$), professionalism($6.02{\pm}0.89$) and familiarity($4.51{\pm}1.42$)(p <.000). The degree of familiarity showed significant differences in gender(p =.005), majoring(teaching subjects)(p =.049) and prior contact(p =.020). Conclusion : In conclusion, previous contact and recognition towards EMT could make good image making in secondary school teachers by getting well-organized promotions and professional services. This contact will make a good future counseling to the students who want to be EMTs.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.5 no.1
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• pp.38-43
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• 2004

We designed and implemented a medical image query system, including a relational database and DBMS (database management system), which can visualize image data and can achieve spatial, attribute, and mixed queries. Image data used in querying can be visualized in slice, MPR(multi-planner reformat), volume rendering, and overlapping on the query system. To reduce spatial cost and processing time in the system. brain images are spatially clustered, by an adaptive Hilbert curve filling, encoded, and stored to its database without loss for spatial query. Because the query is often applied to small image regions of interest(ROI's), the technique provides higher compression rate and less processing time in the cases.

• International Journal of Computer Science & Network Security
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• v.24 no.1
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• pp.9-16
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• 2024

AI or Artificial Intelligence has been a significant tool used in the organisational backgrounds for an effective improvement in the management methods. The processing of the information and the analysis of the data for the further achievement of heightened efficiency can be performed by AI through its data analytics measures. In the medical field, AI has been integrated for an improvement within the management of the medical services and to note a rise in the levels of customer satisfaction. With the benefits of reasoning and problem solving, AI has been able to initiate a range of benefits for both the consumers and the medical personnel. The main benefits which have been noted in the integration of AI would be integrated into the study. The issues which are noted with the integrated AI usage for the medical sector would also be identified in the study. Medical Image Processing has been seen to integrate 3D image datasets with the medical industry, in terms of Computed Tomography (CT) or Magnetic Resonance Imaging (MRI). The usage of such medical devices have occurred in the diagnosis of the patients, the development of guidance towards medical intervention and an overall increase in the medical efficiency. The study would focus on such different tools, adhered with AI for increased medical improvement.

• Journal of the Korea Society of Computer and Information
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• v.21 no.12
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• pp.11-18
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• 2016

Magnetic resonance image (MRI) is widely used in brain research field and medical image. Especially, non-invasive brain activation acquired image technique, which is functional magnetic resonance image (fMRI) is used in brain study. In this study, we investigate brain activation occurred by LED light stimulation. For investigate of brain activation in experimental small animal, we used high magnetic field 9.4T MRI. Experimental small animal is Balb/c mouse, method of fMRI is using echo planar image (EPI). EPI method spend more less time than any other MRI method. For this reason, however, EPI data has low contrast. Due to the low contrast, image pre-processing is very hard and inaccuracy. In this study, we planned the study protocol, which is called block design in fMRI research field. The block designed has 8 LED light stimulation session and 8 rest session. All block is consist of 6 EPI images and acquired 1 slice of EPI image is 16 second. During the light session, we occurred LED light stimulation for 1 minutes 36 seconds. During the rest session, we do not occurred light stimulation and remain the light off state for 1 minutes 36 seconds. This session repeat the all over the EPI scan time, so the total spend time of EPI scan has almost 26 minutes. After acquired EPI data, we performed the analysis of this image data. In this study, we analysis of EPI data using statistical parametric map (SPM) software and performed image pre-processing such as realignment, co-registration, normalization, smoothing of EPI data. The pre-processing of fMRI data have to segmented using this software. However this method has 3 different method which is Gaussian nonparametric, warped modulate, and tissue probability map. In this study we performed the this 3 different method and compared how they can change the result of fMRI analysis results. The result of this study show that LED light stimulation was activate superior colliculus region in mouse brain. And the most higher activated value of segmentation method was using tissue probability map. this study may help to improve brain activation study using EPI and SPM analysis.