Emulation method of growth of cerebral cortex gyrus structure by utilizing surface model

Abstract

The invention relates to an emulation method of growth of cerebral cortex by utilizing a surface model. The emulation method is characterized in that three-dimensional cerebrum NMR images of a fetus are preprocessed to reform a cerebral cortex surface which is precise in geometric result and correct in topological structure from the cerebrum images after tissue segmentation, wherein the cortex surface is represented by a series of vertexes and triangles; each triangle is built with an elastic plastic mechanical model and a triangularly bent elastic plastic mechanical model; the growth model of the cortex is formed by increasing the original size of each triangle; the process of cortex wrinkles is represented by partial differential equation sets and solved by iteration; and during the iteration, the boundary conditions of the model are set by MRI data of fetus. Compared with other method, the invention has the advantages of utilizing real 3D fetus data for emulation and adding the growth model of the cortex to the traditional surface models.

Description

technical field The invention relates to a cerebral cortex growth simulation method using a surface model, belonging to the fields of computational neuroscience and simulation. It is suitable for the simulation of the growth shape of the three-dimensional cerebral cortex. Background technique There are enormous individual differences in the size, shape, and structural patterns of the human cerebral cortex. Among them, the sulcus-circle pattern in the cerebral cortex is a good predictor of brain function and has attracted the attention of many researchers. Although the human brain all develops from a similarly simple structure, the major structural differences in the sulcus and gyrus develop by eight months of gestation. Due to the existence of a large number of complex biological developmental activities in this process, the reasons for the structural differences in the cerebral cortex are still uncertain. However, it is not yet mature to study the dynamics of the fetal b...

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Problems solved by technology

The disadvantage is that the fluid model itself cannot express the physical properties of the brain tissue well, and this method is only applied to a two-dimensional simple cortical model rather than a real three-dimensional brain model; method 2: a cortical simulation model based on computational morphology methods, the Methods Two-dimensional finite element method was used to model cortical structure and glial fibers, and cortical growth was simulated by dilated finite element method

The disadvantage of this method is that it is only applied to a two-dimensional simple circular model, and cannot be applied to a real three-dimensional cerebral cortex model; method 3: a simulation model of cortical growth based on three-dimensional finite elements, which uses DTI data of sheep fetuses to Model the cerebral cortex and simulate cortical growth by tangential expansion of finite elements

The disadvantage is that this method can only achieve a small range of cortical deformation, but cannot simulate the generation of large deformation groove structure

The current existing simulation method of cerebral cortex structure has the following two main defects: first, a two-dimensional simple model is used to replace the cerebral cortex structure, rather than the real three-dimensional fetal cerebral cortex structure

Second, the current three-dimensional method is only used for the growth simulation of the small deformation of the cerebral cortex, but cannot adapt to the structure of the cerebral cortex with large deformation.

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