面向骨組織工程的仿生支架建模研究
[Abstract]:Due to the large-area bone defect caused by diseases and accidents, it has become one of the important problems in clinical medicine treatment. In recent years, with the rapid development of bone tissue engineering technology, tissue-engineered bone is constructed by using a complex of seed cells and a bionic scaffold, It has become a hot topic in the field of bone tissue engineering. In the construction of tissue engineered bone, the bionic scaffold can provide suitable growth space and adequate mechanical support for the new bone tissue, and can mediate signaling and interaction between cells, and induce the formation of new bone. Therefore, the preparation of bionic scaffold is the key to the research of bone tissue engineering, and it has extremely important research value. Preparation of bionic scaffolds including the manufacture of anatomical shapes and internal microscopic pores The traditional preparation method is more focused on the construction of the internal micro-hole, in addition, that performance of the internal structure of the stent can not be evaluated before manufacture, and the parameters such as porosity, connectivity and the like are difficult to With the development of rapid prototyping technology in the field of bone tissue engineering, the preparation of bionic scaffold by rapid prototyping is an ideal method. By adopting the rapid forming technology, the accurate stent anatomical shape and the complex internal micro-hole structure can be molded at one time, and the pre-processing evaluation of the internal structure performance can be performed according to the three-dimensional model of the bracket, so that the bionic robot has the advantages of excellent performance and reasonable structure. As a result, the modeling of bionic scaffold is a key to the preparation of bionic scaffold by rapid prototyping Based on the above research background and application requirements, this paper takes the bionic scaffold as the research object, develops the appearance model of bionic scaffold and the construction of internal structure model in the field of bone tissue engineering, and evaluates the internal structure performance of the scaffold. Research work. The main research contents and achievements include: The following aspects: (1) Based on Delaunay triangulation algorithm, the defect bone curve is put forward. According to the CT image data, the pixel cube is constructed, the gray threshold value of the bone tissue image is compared, The Delannay triangulation process of the spatial point set is simplified by using the K-nearest neighbor algorithm and the two-dimensional Delannay nearest neighbor algorithm. The efficiency of surface reconstruction is improved. Using local variable sphere mapping algorithm, the problem of hole feature topological reconstruction is solved, so it is accurate. At the same time, the reconstructed curved surface model is the anatomical shape of the bionic scaffold and the construction of the internal micro-hole structure. A good digital model is presented. (2) On the basis of analyzing the pathological characteristics and kinds of bone defects, we put forward the bionic repair of bone defect. The method comprises the following steps of: automatically searching the boundary of the hole by using a two-face angle discrimination algorithm to obtain a three-dimensional polygon formed by the edge of the hole; carrying out the triangular section of the polygon based on the minimum principle of the area; carrying out mesh refinement according to the shortest principle of the side length to realize the D of the three-dimensional polygon; elaunay triangulation; using a weighted umbrella operator to control the curvature change of the repaired surface, performing fairing processing on the curved surface grid, and ensuring the repaired surface the appearance model of the bionic support is constructed by Boolean operation between the models, and the complexity of modeling is greatly reduced. (3) a multi-constraint knapsack problem model and a hybrid genetic algorithm are adopted to construct the multi-constraint knapsack problem model and the hybrid genetic algorithm, The invention relates to an internal micro-hole structure model of a bionic bracket, which adopts an ellipsoid as a unit body based on a multi-constraint knapsack problem model, and constructs a negative mode of the micro-hole structure inside the bracket. The hybrid genetic algorithm is used to solve the problem. In the genetic operator design, the hybrid selection operator combined with the optimal preservation strategy is adopted to improve the operation efficiency and the convergence of the algorithm, and the uniform crossover operator is adopted to avoid the diversity of the population. The local search ability of the algorithm is enhanced by the uniform mutation operator, and the diversity evolution of the population is promoted; the solution space is local by using the perturbation operator. Adjust and improve the global search capability of the algorithm. Then, the Boolean operation between the appearance model of the stent and the negative model (4) analyzing the factors influencing the internal structure performance of the bionic bracket, establishing an evaluation index system for the structure performance of the micro-hole of the bracket, Five evaluation indexes of uniformity, twist and specific surface area. The influence degree of various evaluation indexes on the biological activity, mechanical strength and degradation speed of the scaffold was analyzed, and the evaluation index was determined based on the AHP method. Based on the evaluation theory of grey relational grade analysis, a comprehensive evaluation model of the internal structure performance of bionic scaffold was put forward, and the grey relation of each evaluation index was calculated. Based on the theory and method described above, the prototype system of bionic scaffold was developed by using object-oriented technology and visualization technique. The function of constructing, modeling and evaluating the internal structure of the bracket, and the like are verified.
【學(xué)位授予單位】:上海大學(xué)
【學(xué)位級(jí)別】:博士
【學(xué)位授予年份】:2011
【分類號(hào)】:R329;TP391.41;O242.1
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