A Method for Describing Local Morphological Features of the Brain Based on Cortical Vertex Clouds

Abstract

The invention discloses a method for describing local morphological features of the brain based on cortical vertex cloud. The implementation steps include: acquiring original data of brain structure magnetic resonance imaging; sampling cortical vertex cloud according to the brain structure magnetic resonance imaging and reconstructing to obtain brain surface weight Construct the image; select key points in the target local area of ​​the reconstructed image of the brain surface, and determine the local surface of the key points; use the rotational projection statistic algorithm RoPS to extract the three-dimensional feature description of the local surface, so as to obtain the local cortical local morphological features corresponding to the local surface describe. The invention has the advantages of rapid calculation and ideal data processing effect, the local morphological features of the cerebral cortex described by the vertex cloud do not depend on the absolute value of the amplitude of the imaging signal, transferable between different MRI machines, and excellent classification and discrimination performance.

Description

technical field [0001] The invention relates to a method for describing brain morphological features, in particular to a method for describing brain local morphological features based on cortical apex clouds. Background technique [0002] The plasticity of cerebral cortex structure is one of the key scientific issues in the field of brain science and cognitive neuroscience. Development, aging, long-term training and some serious brain diseases are accompanied by morphological changes in the structure of the cerebral cortex. Non-invasive brain imaging methods such as structural magnetic resonance imaging can measure these morphological changes. If an appropriate local feature description method can be designed, it will provide methodological support for the construction of biological markers of brain structure development. [0003] Currently, methods for describing local morphological features of the cerebral cortex include gray matter density (or gray matter volume), cortic...

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Problems solved by technology

However, these characterization methods also have the following problems: (1) Sensitive to the model and parameters of the MRI scanner

Since the above feature description depends on the absolute value of the imaging signal amplitude, and the change of the model and parameters of the magnetic resonance scanner will cause the change of the absolute value of the imaging signal amplitude, which makes the above feature description difficult in the analysis of multi-center brain imaging data

(2) It is difficult to capture the spatial variation characteristics of the cortical surface, and it is impossible to describe the local cortical surface as a whole

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