Towards a Clinical Implementation of Measuring the Elastic Modulus of the Aorta From Cardiac Computed Tomography Images
Towards a Clinical Implementation of Measuring the Elastic Modulus of the Aorta From Cardiac Computed Tomography Images
复制标题
从心脏计算机断层扫描图像测量主动脉弹性模量的临床实施
DOI:
10.1109/tbme.2021.3077362
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发表时间:
2021
影响因子:
4.6
通讯作者:
Takashi Shirakawa;Toru Kuratani;Masao Yoshitatsu;Kazuo Shimamura;Shinya Fukui;Akira Kurata;Yasushi Koyama;Koichi Toda;Ikuo Fukuda;Yoshiki Sawa
中科院分区:
文献类型:
--
作者:
Amano H;Matsui Y;Hatanaka K;Hosono K;Ito Y.;Takashi Shirakawa;Toru Kuratani;Masao Yoshitatsu;Kazuo Shimamura;Shinya Fukui;Akira Kurata;Yasushi Koyama;Koichi Toda;Ikuo Fukuda;Yoshiki Sawa
ObjectiveThe elasticity of the aortic wall varies depending on age, vessel location, and the presence of aortic diseases. Noninvasive measurement will be a powerful tool to understand the mechanical state of the aorta in a living human body. This study aimed to determine the elastic modulus of the aorta using computed tomography images.MethodsWe constructed our original formulae based on mechanics of materials. Then, we performed computed tomography scans of a silicon rubber tube by applying four pressure conditions to the lumen. The segment elastic modulus was calculated from the scanned images using our formulae. The actual modulus was measured using a tensile loading test for comparison.ResultsThe segment moduli of elasticity from the images were 0.525 [0.524, 0.527], 0.524 [0.520, 0.524], 0.520 [0.515, 0.523], and 0.522 [0.516, 0.532] (unit: MPa, median [25%, 75% quantiles]) for the four pressure conditions, respectively. The corresponding measurements in the tensile test were 0.548 [0.539, 0.566], 0.535 [0.528, 0.553], 0.526 [0.513, 0.543], and 0.523 [0.508, 0.530], respectively. These results indicated errors of 4.2%, 2.1%, 1.1%, and 0.2%, respectively.ConclusionOur formulae provided good estimations of the segment elastic moduli of a silicon rubber tube under physiological pressure conditions using the computed tomography images.SignificanceIn addition to the elasticity, the formulae provide the strain energy as well. These properties can be better predictors of aortic diseases. The formulae consist of clinical parameters commonly used in medical settings (pressure, diameter, and wall thickness).