• Title/Summary/Keyword: Biomedical Model

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Three Dimensional Target Volume Reconstruction from Multiple Projection Images

  • Cheong, Kwang-Ho;Suh, Tae-Suk;Lee, Hyoung-Koo;Choe, Bo-Young
    • Proceedings of the Korean Society of Medical Physics Conference
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    • 2002.09a
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    • pp.439-441
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    • 2002
  • The aim of this study is to reconstruct the 3D target volume from multiple projection images. It was assumed that we were already aware of the target position exactly, and all processes were performed in Target Coordinates whose origin was the center of the target. We used six projections: two projections were used to make a Reconstruction Box and four projections were for image acquisition. Reconstruction Box was made up of voxels of 3D matrix. Projection images were transformed into 3D volume in this virtual box using geometrical based back-projection method. Algorithm was applied to an ellipsoid model and horse-shoe shaped model. Projection images were created using C program language by geometrical method and reconstruction was also accomplished using C program language and Matlab(The Mathwork Inc., USA). For ellipsoid model, reconstructed volume was slightly overestimated but target shape and position was proved to be correct. For horse-shoe shaped model, reconstructed volume was somewhat different from original target model but there was a considerable improvement in target volume determination.

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Energetics of the Heart Model with the Ventricu1ar Assist Device

  • Chung, Chanil-Chung;Lee, Sang-Woo;Han, Dong-Chul;Min, Byoung-Goo
    • Journal of Biomedical Engineering Research
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    • v.17 no.1
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    • pp.43-48
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    • 1996
  • We investigated the energistics of the physiological heart model by comparing predictive indexes of the myocardial oxygen consumption (MOC), such as tension-time index (R), tension-time or force-time inteual (FTI), rate-pressure product (RPP), pressure-work index, and systolic pressure-volume area (PVA) when using the electro-hydraulic left ventricular device (LVAD). We developed the model of LVAD incorporated the closed-loop cardiovascular system with a baroreceptor which can control heart rate and time-varying elastance of left and right ventricles. On considering the benefit of the LVAD, the effects of various operation modes, especially timing of assistance, were evaluated using this coupled computer model. Overall results of the computer simulation shows that our LVAD can unload the ischemic (less contractile) heart by decreasing the MU and increasing coronary flow. Because the pump ejection at the end diastolic phase of the natural heart may increase the afterload of the left ventricle, the control scheme of our LVAD must prohibit ejecting at this time. Since the increment of coronary flow is proportional to the peak aortic pressure after ventricle contraction, the LVAD must eject immediately following the closure of the aortic valve to increase oxygen availability.

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Equivalent Circuit Model of Glucose Kinetics (생체내 포도당 동태의 등가회로모델)

  • Yun, Jang-H.;Kim, Min-Chong
    • Journal of Biomedical Engineering Research
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    • v.2 no.1
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    • pp.31-38
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    • 1981
  • The objective of the present study was to develop an equivalent circuit model of glucose kinetics including the hepatic glucose balance functions which were neglected in the previous compartmental models. Using this circuit model, the insulin resistivity parameter and hepatic glucose sensitivity parameter were estimated in optimal fitting of the model based data of glucose and insulin concentration to the reported clinical intravenous glucose tolerance test(IVGTT) data in normal and diabetic subjects. The addition of the hepatic function in the model has improved the overall performance of the simulation. Also, the computed tissue insulin resistivity and the hepatic glucose sensitivity are shown to be significant in distinguishin four clinical groups of normal and diabetic groups.

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Modeling and Simulation of the Cardiovascular System Using Baroreflex Control Model of the Heart Activity (심활성도 압반사 제어 모델을 이용한 심혈관시스템 모델링 및 시뮬레이션)

  • Choi Byeong Cheol;Jeong Do Un;Shon Jung Man;Yae Su Yung;Kim Ho Jong;Lee Hyun Cheol;Kim Yun Jin;Jung Dong keun;Yi Sang Hun;Jeon Gye Rok
    • Journal of Biomedical Engineering Research
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    • v.25 no.6
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    • pp.565-573
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    • 2004
  • In this paper, we proposed a heart activity control model for simulation of the aortic sinus baroreceptor, which was the most representative baroreceptor sensing the variance of pressure in the cardiovascular system. And then, the heart activity control model composed electric circuit model of the cardiovascular system with baroreflex control and time delay sub-model to observe the effect of time delay in heart period and stroke volume under the regulation of baroreflex in the aortic sinus. The mechanism of time delay in the heart activity baroreflex control model is as follows. A control function is conduct sensing pressure information in the aortic sinus baroreceptor to transmit the efferent nerve through central nervous system. As simulation results of the proposed model, we observed three patterns of the cardiovascular system variability by the time delay. First of all, if the time delay over 2.5 second, aortic pressure and stroke volume and heart rate was observed non-periodically and irregularly. However, if the time delay from 0.1 second to 0.25 second, the regular oscillation was observed. And then, if time delay under 0.1 second, then heart rate and aortic pressure-heart rate trajectory were maintained in stable state.

Optical Method to Determine Gait Parameters Using Position Sensitive Detector

  • Jung, Gu-In;Kim, Ji-Sun;Lee, Tae-Hee;Choi, Ju-Hyeon;Oh, Han-Byeol;Kim, A-Hee;Goh, Bong-Jun;Kim, Jun-Sik;Lee, Eun-Suk;Jun, Jae-Hoon
    • Journal of Electrical Engineering and Technology
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    • v.10 no.5
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    • pp.2155-2161
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    • 2015
  • This study suggests an optical method to measure cardinal of gait (step width, step length, and stride length) with position sensitive detector (PSD). The effect of reflector’s shape (flat and cylinder) on the PSD output voltage was examined for the application of the suggested system to real situations with a curved shape reflector (e.g. shoes). Various mathematical models were evaluated to find the optimal equation for the distance measurement. Considering the effect of shape on detected signal, the inverse polynomial model was developed. The suggested method is simple to operate, low in cost, small in size, and can evaluate gait parameters in real time. This method is expected to be useful in the field of rehabilitation and sport science

A Study on Angle Measurements Using an Optical Fiber (광섬유를 이용한 각도 측정 연구)

  • Kim, A-Hee;Kim, Ji-Sun;Oh, Han-Byeol;Kim, Jun-Sik;Goh, Bong-Jun;Lee, Eun-Suk;Jung, Hyon-Chel;Choi, Ju-Hyeon;Baek, Jin-Young;Jun, Jae-Hoon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.4
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    • pp.605-611
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    • 2015
  • The measurement and analysis of angular change have been studied in many fields. This study developed an angle measurement technique with optical fiber and photodiode. The position and attached angle of photodiode were investigated to find the proper combination of parameter. The results showed that the increased measuring range was achieved when the position of detector was away from the center of rotation. Inverse mathematical model was used to obtain angular changes with an optical fiber. The applications of this study include in optical sensor, joint angle measurement, and sport science.

Continuous Blood Pressure Prediction Using PTT During Exercise (PTT를 이용한 자전거 운동 중 지속적인 혈압의 예측)

  • Kim, Chul-Seung;Moon, Ki-Wook;Kwon, Jung-Hoon;Eom, Gwang-Moon
    • Journal of Biomedical Engineering Research
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    • v.27 no.6
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    • pp.370-375
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    • 2006
  • The purpose of this work is to predict the systolic blood pressure (BP) during exercise from pulse transit time (PTT) for warning of possible danger. PTT was calculated as the time between R-peak of ECG and the peak of differential photoplethysmograph (PPG). For the PTT-BP model, we used regress equations from previous studies and 3 kinds of new models combining linear and nonlinear regress equation. The model parameters were estimated with the data measured under low to middle intensity exercise, and then was tested with the data measured under high intensity exercise. Predicted BP values after high intensity exercise were compared with those measured by cuff-type sphygmomanometer. The results showed that the error between measured and predicted values were acceptable for the monitoring BP. We tested PTT-BP models 1 month after the identification without further calibration. Models could predict the BP and the errors between measured and predicted BP were about 5mmHg. The suggested system is expected to be helpful in recognizing any danger during exercise.

Development of Tissue-Tool Interaction Simulation Algorithms for Rotator Cuff Surgery Scenario in Arthroscopic Surgery Training Simulator

  • Jo, Kyungmin;Bae, Eunkyung;You, Hyeonseok;Choi, Jaesoon
    • Journal of Biomedical Engineering Research
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    • v.41 no.4
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    • pp.154-164
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    • 2020
  • Various simulator systems for surgery training have been developed and recently become more widely utilized with technology advancement and change in medical education adopting actively simulation-based training. The authors have developed tissue-instrument interaction modeling and graphical simulation algorithms for an arthroscopic surgery training simulator system. In this paper, we propose algorithms for basic surgical techniques, such as cutting, shaving, drilling, grasping, suturing and knot tying for rotator cuff surgery. The proposed method constructs a virtual 3-dimensional model from actual patient data and implements a real-time deformation of the surgical object model through interaction between ten types of arthroscopic surgical tools and a surgical object model. The implementation is based on the Simulation Open Framework Architecture (SOFA, Inria Foundation, France) and custom algorithms were implemented as pulg-in codes. Qualitative review of the developed results by physicians showed both feasibility and limitations of the system for actual use in surgery training.