Modeling of human artery tissue with probabilistic approach.
Accurate modeling of biological soft tissue properties is vital for realistic medical simulation. Mechanical response of biological soft tissue always exhibits a strong variability due to the complex microstructure and different loading conditions. The inhomogeneity in human artery tissue is modeled with a computational probabilistic approach by assuming that the instantaneous stress at a specific strain varies according to normal distribution. Material parameters of the artery tissue which are modeled with a combined logarithmic and polynomial energy equation are represented by a statistical function with normal distribution. Mean and standard deviation of the material parameters are determined using genetic algorithm (GA) and inverse mean-value first-order second-moment (IMVFOSM) method, respectively. This nondeterministic approach was verified using computer simulation based on the Monte-Carlo (MC) method. Cumulative distribution function (CDF) of the MC simulation corresponds well with that of the experimental stress-strain data and the probabilistic approach is further validated using data from other studies. By taking into account the inhomogeneous mechanical properties of human biological tissue, the proposed method is suitable for realistic virtual simulation as well as an accurate computational approach for medical device validation.
Chongqing Institution of Green and Intelligent Technology, Chinese Academy of Science, 266 Fangzheng Ave, Beibei District, Chongqing 400714, China. Electronic address: linfei_x@outlook.com.
Linfei
L
Xiong
Mechanical Engineering, National University of Singapore, BLK EA, #04-06, Control lab 1, NUS 1 Engineering Drive 2, Singapore 117576, Singapore.
Chee-Kong
CK
Chui
Mechanical Engineering, National University of Singapore, BLK EA, #04-06, Control lab 1, NUS 1 Engineering Drive 2, Singapore 117576, Singapore.
Yabo
Y
Fu
Mechanical Engineering, National University of Singapore, BLK EA, #04-06, Control lab 1, NUS 1 Engineering Drive 2, Singapore 117576, Singapore.
Chee-Leong
CL
Teo
Chongqing Institution of Green and Intelligent Technology, Chinese Academy of Science, 266 Fangzheng Ave, Beibei District, Chongqing 400714, China.
Yao
Y
Li
D000465:Algorithms; D001158:Arteries / Q000502:physiology*; D001696:Biomechanical Phenomena; D003198:Computer Simulation; D006801:Humans; D008955:Models, Cardiovascular; D015233:Models, Statistical; D013314:Stress, Mechanical
Human arterial tissue; Medical simulation; Probabilistic approach; Tissue modeling; Uncertainty analysis