• Progress in Medical Physics
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• v.25 no.1
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• pp.53-63
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• 2014

The objective of this study is to investigate the difference of ITV lengths and ITVs between 4DCT and Slow-CT images according to respiratory patterns using a respiratory motion phantom. The respiratory periods 1~4 s and target motion 1~3 cm were applied on each respiratory pattern. 4DCT and Slow-CT images were acquired for 3 times. 4DCT and Slow-CT ITVs were measured with contouring the target in the Eclipse RTP system. The measured ITV lenghts and ITVs in 4DCT and Slow-CT images were compared to the known values. For the ITV lengths and ITVs in the 4DCT, the difference of them were reduced as the respiratory period is longer and target motion is shorter. For the Slow-CT, there was same tendency with change in 4DCT ITV lengths and ITVs about target motion. However, the difference of ITV lengths and ITVs for the respiratory periods were the lowest in respiratory period 1 second and different slightly within respiratory period 2-4 seconds. According to the respiratory patterns, pattern A had the highest reproducibility. Pattern B, C and D were showed the difference similar to each other. However, for pattern E, the reproducibility was the lowest compared with other four patterns. The difference of ITV lengths and ITVs between Slow-CT and 4DCT was increased by increasing the respiratory periods and target motion for all respiratory patterns. When the difference of Slow-CT ITV lengths and ITVs were compared with that of 4DCT ITV lengths and ITVs, Slow-CT ITV lengths and ITVs were approximately 22 % smaller than 4DCT, and the representations of target were different in each pattern. In case of pattern A, B and C, length difference was 3 mm at S (superior) and I (inferior) direction, and the length difference of pattern D was 1.45 cm at only "I" direction whereas the length difference of pattern E was 5 mm longer in "S" direction than "I" direction. Therefore, the margin in SI directions should be determined by considering the respiratory patterns when the margin of Slow-CT is compensated for 4DCT ITV lengths. Afterward, we think that the result of this study will be useful to analyze the ITV lengths and ITVs from the CT images on the basis of the patient respiratory signals.

• Journal of Physiology & Pathology in Korean Medicine
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• v.16 no.3
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• pp.557-562
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• 2002

The present study was made with the aim of finding out the Kamihaepyoijin-tang's effect on the allergic asthma using the Egg-White Implant(EWI) method model recommended by de Siqueira et al. Kamihaepyoijin-tang has widely been prescribed and used in Oriental Medicine for controlling and curing of cough, asthma, nasal obstruction. Previous studies have demonstrated that Kamihaepyoijin-tang had analgesic, anticonvulsive effects. But it is uncertain whether Kamihaepyoijin-tang could inhibit the allergic reaction of rats with experimentally induced allergic asthma using EWI method. With such aim. the respiratory patterns and eosinophil infiltration in the tracheal mucosa of the rats were mainly observed. The results were summerized as follows ; 1. The frequency of malformed respiratory patterns in Kamihaepyoijin-tang treated groups were decreased as compared with the control group. 2. The Ratio of malformed respiratory patterns in Kamihaepyoijin-tang treated groups were significantly decreased as compared with the control group(p<0.02). 3. The eosinophil infiltration in Kamihaepyoijin-tang treated groups were decreased as compared with the control group. 4. The eosinophil infiltration that inside of trachea tissue in Kamihaepyoijin-tang treated groups were significantly decreased as compared with the control group(p<0.05). Depending upon above results, it is considered that Kamihaepyoijin-tang has the inhibitory effects on the allergic asthma of rats and suggested that it could be used in relieving patients of the symptoms which are caused by allergic asthma.

• Journal of Microbiology
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• v.41 no.1
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• pp.1-6
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• 2003

The genetic relatedness of multidrug-resistant pneumococcal isolates of serotypes 19F and 23F was investigated. The DNA fragments digested with Sma I were resolved by pulsed-field gel electrophoresis (PFGE). PFGE analysis of 365. pneumoniae isolates showed 13 different patterns. Among 22 isolates of serotype 19F, 9 different PFGE patterns were present and 14 isolates of serotype 23F isolates represented 5 distinct PFGE patterns. Two isolates of serotype 19F and six isolates of serotype 23F shared the same PFGE pattern (Pattern I). Based on the genetic relatedness within the strains (one genetic cluster was defined as having more than 85% homology), we divided the pneumococcal strains into genefic clusters (Ⅰ, II, III, IV, V, and VI). The 22 strains of serotype 19F belonged to five distinct genetic clusters (I, II, III, IV, V and VI) and 14 strains of serotype 23F represented two genetic clusters (I and II ). These results showed that strains of serotype 19F are genetically more diverse than those of serotype 23F, Serotype 19F isolates with PFGE patterns H and I appeared to be less related to those of the remaining PFCE patterns (A to G) (less than 60% genetic relatedness), but those strains were genetically closely related with serotype 23f. These results suggest that the latter isolates originated from horizontal transfer of the capsular type 19F gene locus to 23F pneumococcal genotypes. In conclusion, the multidrug-resistant pneumococcal isolates of serotype 19f and 23F isolated in Korea are the result of the spread of a limited number of resistant clones.

• The Journal of Internal Korean Medicine
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• v.43 no.3
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• pp.327-343
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• 2022

Objective: The purpose of this study was to develop a standard tool for identifying idiopathic pulmonary fibrosis patterns. Methods: Textbooks, published literature, and references with comments on patterns were reviewed. Using the Delphi method, we determined pattern identification based on the advice of a committee consisting of 11 Korean respiratory internal medicine professors. Results: Four pattern identifications were selected by the Delphi method: qi difficiency (氣虛), yin difficiency (陰虛), phlegm dampness (痰飮), blood stasis (瘀血). The tool was developed in a question-and-answer format containing 38 questions. Conclusions: An IPF pattern identification tool that can analyze IPF patterns for standardized diagnostics was developed with the consent of experts. Further research is needed on its reliability.

• Journal of Biomedical Engineering Research
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• v.29 no.4
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• pp.323-328
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• 2008

A patient with respiratory disorders such as a sleep apnea is increasing as the obese patient increase on the modern society. Positive Airway Pressure (PAP) devices are used in curing patient with respiratory disorders and turn out to be efficacious for patients of 75%. However, these devices are required for evaluating their performance to improve their performance by the mechanical breathing simulator. Recently, the mechanical breathing simulator was studied by the real time feedback control. However, the mechanical breathing simulator by an open loop control was specially required in order to analyze the effect of flow rate and pressure after operating the breathing auxiliary devices. Therefore the aims of this study were to make the mechanical breathing simulator by a piston motion and a valve function from the characteristic test of valve and motor, and to duplicate the flow rate and pressure profiles of some breathing patterns: normal and three disorder patterns. The mechanical simulator is composed cylinder, valve, ball screw and the motor. Also, the characteristic test of the motor and the valve were accomplished in order to define the relationship between the characteristics of simulator and the breathing profiles. Then, the flow rate and pressure profile of human breathing patterns were duplicated by the control of motor and valve. The result showed that the simulator reasonably duplicated the characteristics of human patterns: normal, obstructive sleep apnea (OSA), mild hypopnea with snore and mouth expiration patterns. However, we need to improve this simulator in detail and to validate this method for other patterns.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.12 no.2
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• pp.84-95
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• 2008

Background and purpose: Health is characterized by variability and a loss variability is associated with aging and disease. Normal healthy respiratory patterns are characterized by breath to breath variability. The aim of this study is to analyze Correlation Analysis of 10 respiratory indices(include breath to breath variability) and K-POMS factors score. Method: Respiratory data were measured during 15 minutes and transferred to text file. We calculated 10 respiratory parameters in use of MATLAB7.1. After then do correlation analysis of 10 respiratory indices and K-POMS factors score. Result and conclusion: Respiratory variability is showed significant correlation with vigor factor. Respiratory rate is showed significant correlation with depression factor.

• The Journal of Internal Korean Medicine
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• v.38 no.1
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• pp.32-47
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• 2017

Objective: The purpose of this study was to develop a standard tool for pattern identification of radiation pneumonitis. Methods: Textbooks, published studies, and references with comments about patterns were reviewed. Through the Delphi method, we determined pattern identifications based on advice from a committee of experts composed of 13 Korean respiratory internal medicine professors. Results: Using the Delphi method, four pattern identifications were chosen: Qi Deficiency (氣虛), Yin Deficiency (陰虛), Heat Toxin (熱毒), and Phlegm Dampness (痰濕). The tool was developed in a question-and-answer format with 35 questions. Conclusions: A pattern identification tool that can discriminate the patterns of radiation pneumonitis for standardized diagnosis was developed through expert consultation. Further study of its validity and reliability is necessary.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.12 no.2
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• pp.74-83
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• 2008

Background and purpose : Health is characterized by variability, and the loss of variability is associated with aging and disease. Normal healthy respiratory patterns are characterized by breath to breath variability. Cold-Heat scores are quantified indices in Korean Medicine. The aim of this study is to analyze relations between 9 respiratory indices (including breath to breath variability) and HRV(heart rate variability). Method : Respiratory data were measured during a period of 15 minutes and transferred to text file. We calculated 9 respiratory parameters using MATLAB 7.1. Afterwards we did correlation analysis of the 9 respiratory indices and HRV. Results and conclusion : Respiratory variability showed significant correlation with HRV.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.2
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• pp.69-76
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• 2020

In this paper, we introduce a method to visualize the contrast diffusion patterns and the dynamic vascular patterns in a contrast-enhanced ultrasound image sequence. We present an imaging technique to visualize parameters such as contrast arrival time, peak intensity time, and contrast decay time in contrast-enhanced ultrasound data. The contrast flow pattern and its velocity are important for characterizing focal liver lesions. We propose a method for representing the contrast diffusion patterns as an image. In the methods, respiratory motion may degrade the accuracy of the parametric images. Therefore, we present a respiratory motion tracking technique that uses dynamic weights and a momentum factor with respect to the respiration cycle. Through the experiment using 72 CEUS data sets, we show that the proposed method makes it possible to overcome the limitation of analysis by the naked eye and improves the reliability of the parametric images by compensating for respiratory motion in contrast-enhanced ultrasonography.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.12 no.2
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• pp.96-106
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• 2008

Background and purpose : Health is characterized by variability and a loss variability is associated with aging and disease. Normal healthy respiratory patterns are characterized by breath to breath variability. Cold-Heat score are quantified indices in Korean Medicine. The aim of this study is to analyze relations between 9 respiratory indices (including breath to breath variability) and cold-heat score by questionnaire. Method : Respiratory data were measured during 15 minutes and transferred to text file. We calculated 9 respiratory parameters in use of MATLAB7.1. After then we did correlation analysis of 9 respiratory indices and cold-heat score Results and conclusion : EIratio is showed significant correlation with Cold score and weighted Heat score.