• 대한기계학회:학술대회논문집
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• 대한기계학회 2007년도 춘계학술대회B
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• pp.2947-2950
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• 2007

A 3D human ventricular model is proposed to simulate an integrative analysis of heart physiology and blood hemodynamics. This consists of the models of electrophysiology of human cells, electric wave propagation of tissue, heart solid mechanics, and 3D blood hemodynamics. The 3D geometry of human heart is discretized to a finite element mesh for the simulation of electric wave propagation and mechanics of heart. In cellular level, excitations by action potential are simulated using the existing human model. Then the contraction mechanics of a whole cell is incorporated to the excitation model. The excitation propagation to ventricular cells are transiently computed in the 3D cardiac tissue using a mono-domain method of electric wave propagation in cardiac tissue. Blood hemodynamics in heart is also considered and incorporated with muscle contraction. We use a PISO type finite element method to simulate the blood hemodynmaics in the human ventricular model.

• 전자공학회논문지B
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• 제32B권10호
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• pp.1294-1304
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• 1995

In this paper, a method has been proposed for the fully automatic detection of left ventricular endocardial boundary in B-mode short axis echocardiography without manual intervention by human operator. The proposed method makes use of the weighted model that approximates to endocardium and incomplete edge information for echocardiography. Therefore, this method is more effective than boundary detection by only edge information. The implementation of this method is as follows. First, the proposed algorithms are used in order to detect the approximate boundary, then a weighted model with the approximate boundary is constructed. Finally, the cavity center of the left ventricle performing the Hough transform with the weighted model and edge image can be found automatically, and then the endocardial boundary using detected center, original image, weighted model, and edge image can be detected. validations of this method with experimental results on echo image of dog's heart and clinical echocardiography is verified.

• 대한방사선기술학회지:방사선기술과학
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• 제45권2호
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• pp.151-158
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• 2022

The Cardiac Gated Blood Pool (GBP) scintigram, a nuclear medicine imaging, calculates the left ventricular Ejection Fraction (EF) by segmenting the left ventricle from the heart. However, in order to accurately segment the substructure of the heart, specialized knowledge of cardiac anatomy is required, and depending on the expert's processing, there may be a problem in which the left ventricular EF is calculated differently. In this study, using the DeepLabV3 architecture, GBP images were trained on 93 training data with a ResNet-50 backbone. Afterwards, the trained model was applied to 23 separate test sets of GBP to evaluate the reproducibility of the region of interest and left ventricular EF. Pixel accuracy, dice coefficient, and IoU for the region of interest were 99.32±0.20, 94.65±1.45, 89.89±2.62(%) at the diastolic phase, and 99.26±0.34, 90.16±4.19, and 82.33±6.69(%) at the systolic phase, respectively. Left ventricular EF was calculated to be an average of 60.37±7.32% in the ROI set by humans and 58.68±7.22% in the ROI set by the deep learning segmentation model. (p<0.05) The automated segmentation method using deep learning presented in this study similarly predicts the average human-set ROI and left ventricular EF when a random GBP image is an input. If the automatic segmentation method is developed and applied to the functional examination method that needs to set ROI in the field of cardiac scintigram in nuclear medicine in the future, it is expected to greatly contribute to improving the efficiency and accuracy of processing and analysis by nuclear medicine specialists.

• EDISON SW 활용 경진대회 논문집
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• 제6회(2017년)
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• pp.643-649
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• 2017

심장 이온통로의 변화는 활동전압의 모양과 길이에 영향을 주어 심부정맥을 유발한다. 산화적 스트레스의 증가로 인해 생체에 침착이 증가하는 지질산화물 (4-HNE, 4-ONE)는 여러 단백질 및 이온통로에 영향을 주는 독성이차전달자로 알려져 있다. 본 연구자는 선행 연구를 통해 4-HNE와 4-ONE의 단기간 노출이 심실근세포에 발현되는 3종류의 이온통로 ($I_{Kr}$, $I_{Ks}$, $I_{Ca,L}$)의 전류감소와 kinetics변화를 일으키고, 심실근세포의 활동전압길이가 증가하는 것을 확인하였다. 두 물질이 이온통로들에 준 영향은 유사하였으나, 활동전압길이의 증가 정도가 4-ONE에서 더 크게 나타났다. 활동전압의 연장에 차이가 나는 원인과, 두 지질산화물이 또 다른 이온통로에 미치는 영향 유무를 예측하기 위해서 Grandi and Bers human ventricular model[1]을 적용한 Integrated human ventricular myocyte model 프로그램 (developed by prof. Youm)을 활용하였다. 시뮬레이션으로 재현한 4-HNE와 4-ONE에 의한 활동전압은 실험으로 기록된 것보다 연장 정도가 작았다. 시뮬레이션 모델의 background $Na^+$ 전류의 크기를 크게 하였을 경우, 실험에서 기록된 활동전압 길이에 상응하는 연장을 가져왔다. 그러므로, 4-HNE와 4-ONE는 실험으로 확인한 $I_{Kr}$, $I_{Ks}$, $I_{Ca,L}$ 이외에 심장세포에 존재하는 내향전류 (Late $Na^+$ current)의 크기를 증가하는 효과가 있음을 예측할 수 있으며, 실험적 검증이 요구된다.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2008년도 춘계학술대회논문집
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• pp.496-497
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• 2008

In this study, we present the computational analysis of cardiac arrhythmias that is the major cause of human sudden cardiac death. First, electric excitation and condution in one dimensional cardiac tissue model is solved and the results on condution block are represented. In two dimensional model, vortex daynamics in cardiac tissue is analyzed to delineate the breakup phenomenon inducing ventricular fibrillation. We also simulated a three dimenional heart model to see the vortex breakup and explained the mechanism in physiological aspect.

• 대한의용생체공학회:의공학회지
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• 제10권2호
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• pp.114-116
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• 1989

A method has been proposed for the fully automatic detection of left ventricular endocardial boundary in 2D short axis echocardiogram using geometric model. The procedure has the following three distinct stages. First, the initial center is estimated by the initial center estimation algorithm which is applied to decimated image. Second, the center estimation algorithm is applied to original image and then best-fit elliptic model estimation is processed. Third, best-fit boundary is detected by the cost function which is based on the best-fit elliptic model. The proposed method shows effective result without manual intervention by a human operator.

• 한국산학기술학회:학술대회논문집
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• 한국산학기술학회 2011년도 추계학술논문집 1부
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• pp.170-173
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• 2011

Therapeutic hypothermia(TH) improves neurological outcomes and reduces mortality among survivors of out-of-hospital cardiac arrest. Animal and human studies have shown that TH results in improved salvage of the myocardium, reduced infarct size, reduced left ventricular remodeling and better long-term left ventricular function in settings of regional myocardial ischemia. This study is to investigate the effect of TH on post-resuscitation myocardial dysfunction and survival time after cardiac arrest and resuscitation in a rat model of myocardial infarction (MI). Thoracotomies were performed in 10 Male Sprague-Dawley rats weighing 450-550 g. MI was induced by ligation of the left anterior descending coronary artery (LAD). Ninety min after LAD ligation, ventricular fibrillation induction and subsequent cardiopulmonary resuscitation was performed before defibrillation attempts. Animals were randomized to two groups: a) Acute MI-Normothermia b) Acute MI-Hypothermia ($32^{\circ}C$ for 4 h). Myocardial functions, including cardiac output, left ventricular ejection fraction, and myocardial performance index were measured echocardiographically together with duration of survival. Ejection fraction, cardiac output and myocardial performance index were $54.74{\pm}9.16$, $89.00{\pm}8.89$, $1.30{\pm}0.09$ respectively and significantly better in the TH group than those of the normothermic group at the first 4 h after resuscitation($32.20{\pm}1.85$,$41.60{\pm}8.62$,$1.77{\pm}0.19$)(p=0.00). The survival time of the hypothermic group ($31.8{\pm}14.8$ h) was greater than that of the normothermic group($12.3{\pm}6.5$ h, p<0.05). This study suggested that TH attenuated post resuscitation myocardial dysfunction in acute MI and would be a potential strategy in post resuscitation care.

• 제어로봇시스템학회논문지
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• 제10권12호
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• pp.1164-1171
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• 2004

A new multi-scale simulation model is proposed to analyze heart mechanics. Electrophysiology of a cardiac cell is numerically approximated using the previous model of human ventricular myocyte. The ion transports across cell membrane initiated by action potential induce an excitation-contraction mechanism in the cell via cross bridge dynamics. Negroni and Lascano model (NL model) is employed to calculate the tension of cross bridge which is closely related to the ion dynamics in cytoplasm. To convert the tension on cell level into contraction force of cardiac muscle, we introduce a simple geometric model of ventricle with a thin-walled hemispheric shape. It is assumed that cardiac tissue is composed of a set of cardiac myocytes and its orientation on the hemispheric surface of ventricle remains constant everywhere in the domain. Application of Laplace law to the ventricle model enables us to determine the ventricular pressure that induces blood circulation in a body. A lumped parameter model with 7 compartments is utilized to describe the systemic circulation interacting with the cardiac cell mechanism via NL model and Laplace law. Numerical simulation shows that the ion transports in cell level eventually generate blood hemodynamics on system level via cross bridge dynamics and Laplace law. Computational results using the present multi-scale model are well compared with the existing ones. Especially it is shown that the typical characteristics of heart mechanics, such as pressure volume relation, stroke volume and ejection fraction, can be generated by the present multi-scale cardiovascular model, covering from cardiac cells to circulation system.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2004년도 추계학술대회 논문집
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• pp.1176-1179
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• 2004

A new cell-cross bridge mechanics model is proposed to analyze the mechanics of heart muscle. Electrophysiology of a cardiac cell is numerically approximated using the previous model of human ventricular myocyte. Ion transports across cell membrane initiated by action potential induce excitation-contraction mechanism in the cell via cross bridge dynamics. Negroni and Lascano model (NL model) is employed to compute the tension of cross bridge closely related to ion dynamics in cytoplasm.

• 대한의용생체공학회:의공학회지
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• 제43권5호
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• pp.331-340
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• 2022

Early afterdepolarization (EAD), a significant cause of fatal ventricular arrhythmias including Torsade de Pointes (TdP) in long QT syndromes, is a depolarizing afterpotential at the plateau or repolarization phase in action potential (AP) profile early before completing one pace. AP duration prolongation is related to EAD but is not necessarily accounted for EAD. Several computational studies suggested EAD can form from an abnormality in the late plateau and/or repolarization phase of AP shape. In this sense, we hypothesized the slope during repolarization has the characteristics to predict TdP risk, mainly focusing on the maximum slope during repolarization (dVm/dt_{max_repol}). This study aimed to predict the sensitivity of dVm/dt_{max_repol} to ion channel conductances as a TdP risk metric through a population simulation considering multiple effects of simultaneous reduction in six ion channel conductances of g_NaL, g_Kr, g_Ks, g_to, g_K1, and g_CaL. Additionally, we verified the availability of dVm/dt_{max_repol} for TdP risk prediction through the correlation analysis with qNet, the representative TdP metric. We performed the population simulations based on the methodology of Gemmel et al. using the human ventricular myocyte model of Dutta et al. Among the sixion channel conductances, dVm/dt_{max_repol} and qNet responded most sensitively to the change in g_Kr, followed by g_NaL. Furthermore, dVm/dt_{max_repol} showed a statistically significant high negative correlation with qNet. The dVm/dt_{max_repol} values were significantly different according to three TdP risk levels of high, intermediate, and low by qNet (p<0.001). In conclusion, we suggested dVm/dt_{max_repol} as a new biomarker metric for TdP risk assessment.