Brain cortex surface maximum principal direction field diffusion method for three-dimensional brain magnetic resonance image

Abstract

The invention relates to a three-dimensional brain magnetic resonance image brain cortex surface maximum principal direction field diffusion method, which has the technical scheme that the method comprises the following steps: carrying out pretreatment and brain cortex surface reconstruction on three-dimensional brain magnetic resonance images; calculating the principal curvature, the principal direction and the differential coefficient of the principal curvature of a peak on the brain cortex surface; using an alpha-expansion graph cut method for minimizing an energy function to carry out diffusion on the maximum principal direction field; and projecting the diffused maximum principal direction field into a tangent plane. The invention has the advantages that: 1. the method sets the weights of smooth items and data items in different regions on the brain cortex surface into different values, so the inherent geometrical structure and discontinuity in the maximum principal direction field can be perfectly maintained; and 2. the principal direction field diffusion is regarded as an energy minimization problem which is converted into a diffusion marking problem, and the alpha-expansion graph cut method can be used for effectively working out the strong local optimum solution of the energy function.

Description

technical field [0001] The invention relates to a maximum principal direction field diffusion method on the cerebral cortex surface of a three-dimensional brain magnetic resonance image, and a method for the maximum principal direction field diffusion on the cerebral cortex surface of a three-dimensional brain magnetic resonance image using the alpha-expansion graph cuts method, which belongs to field of medical image processing. Background technique [0002] The surface of the cerebral cortex reconstructed from 3D brain magnetic resonance images is a 2D flow pattern embedded in 3D space, extremely curled and folded. Analysis based on the cerebral cortex surface is very suitable for characterizing and analyzing the essential structure of the cerebral cortex, such as curvature, geodesic distance, cortical thickness, etc. The orientation field on the surface of the cerebral cortex contains important information, for example, the maximum principal orientation field and the min...

AI Technical Summary

Problems solved by technology

The existing maximum principal direction field diffusion method on the surface of the cerebral cortex has the following main defects: First, the weights of different cortical surface regions are set to be the same, resulting in the diffuse maximum principal direction field being too smooth at the bottom of the brain sulci and the top of the gyrus

Second, the current energy minimization method is prone to fall into poor local optimum

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