Abstract:

Since pathological changes of biologic tissues cause physical changes, research of the physics of biologic tissues can provide references to diagnosis. A method for finding elastic modulus of biologic tissues is presented by using the genetic algorithm, given part of the boundary displacement, outer load, boundary condition and a finite element model. Solution to the elastic modulus is described as an inverse problem in mechanics. A mathematical model of the inverse system recognition process is established. Principles of the genetic algorithm are used to provide a solution to elastic modulus of the biologic tissues. The algorithm is verified with a numeric example. Parts of boundary displacement are obtained by combining image recognition. Log arithmetic operator is used for edge detection, and bilinear coordinate transformation formula is used for image interior orientation. The elastic modulus is solved with a relative error 0.914%.

Key words:

elastic modulus, inverse problem, genetic algorithm