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首页> 美国卫生研究院文献>Journal of Biomechanical Engineering >Using In Vivo Cine and 3D Multi-Contrast MRI to Determine Human Atherosclerotic Carotid Artery Material Properties and Circumferential Shrinkage Rate and Their Impact on Stress/Strain Predictions
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Using In Vivo Cine and 3D Multi-Contrast MRI to Determine Human Atherosclerotic Carotid Artery Material Properties and Circumferential Shrinkage Rate and Their Impact on Stress/Strain Predictions

机译：使用体内电影和3D多对比度MRI来确定人的动脉粥样硬化颈动脉材料特性和周向收缩率及其对应力/应变预测的影响

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In vivo magnetic resonance image (MRI)-based computational models have been introduced to calculate atherosclerotic plaque stress and strain conditions for possible rupture predictions. However, patient-specific vessel material properties are lacking in those models, which affects the accuracy of their stress/strain predictions. A noninvasive approach of combining in vivo Cine MRI, multicontrast 3D MRI, and computational modeling was introduced to quantify patient-specific carotid artery material properties and the circumferential shrinkage rate between vessel in vivo and zero-pressure geometries. In vivo Cine and 3D multicontrast MRI carotid plaque data were acquired from 12 patients after informed consent. For each patient, one nearly-circular slice and an iterative procedure were used to quantify parameter values in the modified Mooney-Rivlin model for the vessel and the vessel circumferential shrinkage rate. A sample artery slice with and without a lipid core and three material parameter sets representing stiff, median, and soft materials from our patient data were used to demonstrate the effect of material stiffness and circumferential shrinkage process on stress/strain predictions. Parameter values of the Mooney-Rivlin models for the 12 patients were quantified. The effective Young's modulus (YM, unit: kPa) values varied from 137 (soft), 431 (median), to 1435 (stiff), and corresponding circumferential shrinkages were 32%, 12.6%, and 6%, respectively. Using the sample slice without the lipid core, the maximum plaque stress values (unit: kPa) from the soft and median materials were 153.3 and 96.2, which are 67.7% and 5% higher than that (91.4) from the stiff material, while the maximum plaque strain values from the soft and median materials were 0.71 and 0.293, which are about 700% and 230% higher than that (0.089) from the stiff material, respectively. Without circumferential shrinkages, the maximum plaque stress values (unit: kPa) from the soft, median, and stiff models were inflated to 330.7, 159.2, and 103.6, which were 116%, 65%, and 13% higher than those from models with proper shrinkage. The effective Young's modulus from the 12 human carotid arteries studied varied from 137 kPa to 1435 kPa. The vessel circumferential shrinkage to the zero-pressure condition varied from 6% to 32%. The inclusion of proper shrinkage in models based on in vivo geometry is necessary to avoid over-estimating the stresses and strains by up 100%. Material stiffness had a greater impact on strain (up to 700%) than on stress (up to 70%) predictions. Accurate patient-specific material properties and circumferential shrinkage could considerably improve the accuracy of in vivo MRI-based computational stress/strain predictions.
机译：已引入基于体内磁共振图像（MRI）的计算模型来计算动脉粥样硬化斑块应力和应变条件，以进行可能的破裂预测。但是，这些模型缺乏患者专用的血管材料特性，这影响了其应力/应变预测的准确性。引入了一种将体内Cine MRI，多对比度3D MRI和计算模型相结合的非侵入性方法，以量化患者特定的颈动脉材料特性以及体内和零压力几何结构之间的圆周收缩率。知情同意后，从12位患者中获取了Cine和3D多对比度MRI颈动脉斑块的体内数据。对于每位患者，使用一个近似圆形的切片和一个迭代过程来量化经修改的Mooney-Rivlin模型中血管和血管周向收缩率的参数值。从我们的患者数据中获得的带有和不带有脂质核的动脉切片样本和三个代表硬，中位和软材料的材料参数集被用来证明材料刚度和周向收缩过程对应力/应变预测的影响。对12例患者的Mooney-Rivlin模型的参数值进行了量化。有效杨氏模量（YM，单位：kPa）值从137（软），431（中值）到1435（硬）变化，相应的周向收缩率分别为32％，12.6％和6％。使用没有脂质核心的样品切片，软和中位材料的最大斑块应力值（单位：kPa）分别为153.3和96.2，分别比硬质材料的最大斑块应力值（91.4）高67.7％和5％，而软质和中性材料的最大斑块应变值分别为0.71和0.293，分别比硬质材料的最大斑块应变值（0.089）高700％和230％。在没有圆周收缩的情况下，来自软模型，中值模型和刚性模型的最大斑块应力值（单位：kPa）分别增加到330.7、159.2和103.6，分别比具有模型的模型高116％，65％和13％。适当的收缩。研究的12条人类颈动脉的有效杨氏模量从137 kPa到1435 kPa不等。容器在零压力条件下的周向收缩率在6％至32％之间变化。为了避免将应力和应变高估100％，必须在基于体内几何结构的模型中包含适当的收缩率。材料刚度对应变（高达700％）的影响比对应力（高达70％）的预测的影响更大。准确的患者特定材料属性和周向收缩率可以大大提高基于MRI的体内计算应力/应变预测的准确性。

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