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ABSTRACT

Dalin Tang¹, Chun Yang², Pedro N. del Nido³, Tal Geva³, Chun Yuan⁴, Tom Hatsukami⁵, Fei Liu⁴, Jie Zheng⁶, Pamela K. Woodard⁶
The International Conference on Computational & Experimental Engineering and Sciences, Vol.1, No.1, pp. 1-6, 2007, DOI:10.3970/icces.2007.001.001
Abstract Image-based computational models for blood flow in the heart and diseased arteries have been developed for disease assessment and potential clinical applications. Models with fluid-structure interactions for human right ventricle (RV) remodeling surgery design, carotid and coronary atherosclerotic plaques and abdominal aortic aneurysm (AAA) were presented. Organ morphology, material properties, governing equations, proper initial and boundary conditions, controlling factors and research focuses for each model were discussed. More >

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1232

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856

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ABSTRACT

Ewa Majchrzak^{2 1}, Marek Paruch²
The International Conference on Computational & Experimental Engineering and Sciences, Vol.1, No.1, pp. 7-14, 2007, DOI:10.3970/icces.2007.001.007
Abstract This article has no abstract. More >

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1180

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894

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ABSTRACT

Bohdan Mochnacki¹, Grażyna Kaluża²
The International Conference on Computational & Experimental Engineering and Sciences, Vol.1, No.1, pp. 15-20, 2007, DOI:10.3970/icces.2007.001.015
Abstract This article has no abstract. More >

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1209

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880

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ABSTRACT

F. Gao¹, D. Tang^2∗, Z. Guo³, Makoto Sakamoto⁴, T. Matsuzawa⁵
The International Conference on Computational & Experimental Engineering and Sciences, Vol.1, No.1, pp. 21-28, 2007, DOI:10.3970/icces.2007.001.021
Abstract Patients with aortic aneurysm, especially aortic arch aneurysm, are prone to aortic dissection. For investigation of the effects of aneurysm and wall stiffness on wall stress distribution, a nonaneurysm arch model as well as an aneurysm arch model was constructed. The fluid structure interaction was implemented in the arch model of aorta. The results show that the stresses are much higher at inflection points in the aneurysm model than in nonaneurysm model, and the stresses at media in stiffened wall are higher than in unstiffened wall. The high composite stress is located at inflection points More >

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1470

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974

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ABSTRACT

Xueying Huang¹, Chun Yang², Jie Zheng³, Pamela K. Woodard³, Dalin Tang¹
The International Conference on Computational & Experimental Engineering and Sciences, Vol.1, No.1, pp. 29-34, 2007, DOI:10.3970/icces.2007.001.029
Abstract Atherosclerotic plaques may rupture without warning and cause acute cardiovascular syndromes such as heart attack and stroke. Accurate identification of plaque components will improve the accuracy and reliability of computational models. In this article, we present a segmentation method using a cluster analysis technique to quantify and classify plaque components from magnetic resonance images (MRI). 3D in vivo and ex vivo multi-contrast (T1-, proton density-, and T2-weighted) MR Images were acquired from a patient of cardiovascular disease. Normal distribution Bayes classifier was performed on ex vivo and in vivo MR Images respectively. The resulting segmentation More >

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1261

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963

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Biyue Liu¹
The International Conference on Computational & Experimental Engineering and Sciences, Vol.1, No.1, pp. 35-40, 2007, DOI:10.3970/icces.2007.001.035
Abstract It is well known that the Reynolds number has a significant effect on the blood flow in human arteries. We developed a three dimensional model with simplified geometry for a diseased right coronary artery segment to study the influence of the Reynolds number on the flow pattern in a stenotic coronary artery. Computations were carried out under physiological flow conditions to examine how the characteristics of the flow, such as the flow velocity and the pressure drop along the inner wall, change corresponding to the varying of the blood viscosity or to the varying of More >

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1275

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973

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Christine M. Scotti¹, Sergio L. Cornejo², Ender A. Finol³
The International Conference on Computational & Experimental Engineering and Sciences, Vol.1, No.1, pp. 41-48, 2007, DOI:10.3970/icces.2007.001.041
Abstract Abdominal aortic aneurysm (AAA) rupture is believed to represent the culmination of a complex vascular mechanism partially driven by the forces exerted on the arterial wall. In the present investigation, we present fully coupled fluid-structure interaction (FSI) and finite element analysis (FEA) computations of a patient-specific AAA model. This work advances previous FSI AAA modeling by including localized intraluminal thrombus and the comparison of FSI- and FEA-predicted wall stress distributions. The FSI transient fluid and wall dynamics resulted in a maximum wall stress 21% higher than that obtained with FEA, demonstrating the importance of modeling More >

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914