2003
DOI: 10.1016/s0003-4975(03)00263-7
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Mechanical properties of porcine and human arteries: implications for coronary anastomotic connectors

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Cited by 128 publications
(79 citation statements)
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“…Based on the previous work of van Andel et al [30] that previously found that the variability between the properties of both human and porcine arteries from different hosts varies more than the properties of different vessels from the same host, we used mean carotid porcine experimental data obtained in our laboratory to fit the material parameters of the Equation (9). Figure 7 shows the experimental stress-stretch curves and the prediction of the model where good agreement is readily observed.…”
Section: Simulations On a 3d Patient-specific Geometrymentioning
confidence: 99%
“…Based on the previous work of van Andel et al [30] that previously found that the variability between the properties of both human and porcine arteries from different hosts varies more than the properties of different vessels from the same host, we used mean carotid porcine experimental data obtained in our laboratory to fit the material parameters of the Equation (9). Figure 7 shows the experimental stress-stretch curves and the prediction of the model where good agreement is readily observed.…”
Section: Simulations On a 3d Patient-specific Geometrymentioning
confidence: 99%
“…The thickness of atherosclerotic human coronary arteries range from 0.56 to 1.25 mm, depending upon the location of the arteries on the surface of the heart [28]. For this reason, a thickness of 0.8 mm was chosen to represent the stenosed coronary artery with the atherosclerotic localised plaque.…”
Section: Model Geometrymentioning
confidence: 99%
“…By contrast, porcine arteries are considered waste tissue by abattoirs and so are readily available. But, their mechanical response differs due to the effects of disease and ageing and the differing properties between human and porcine tissue [4,5]. Thus the creation of a human diseased tissue model from healthy porcine aorta potentially would ameliorate the cost and complexity of medical device design.…”
Section: Introductionmentioning
confidence: 99%