Method for describing local morphological features of brain based on cortex vertex cloud

Abstract

The invention discloses a method for describing the local morphological features of a brain based on cortex vertex cloud, which includes the following steps: acquiring original data of brain structuremagnetic resonance imaging; sampling cortex vertex cloud according to the brain structure magnetic resonance imaging, and obtaining a brain surface reconstruction image through reconstruction; selecting key points from a target local area of the brain surface reconstruction image, and determining the local surface of the key points; and extracting the 3D feature description variables of the localsurface through rotational projection statistics RoPS, thus obtaining the cortex local morphological feature description corresponding to the local surface. The method has the advantages as follows:computation is quick; the data processing effect is ideal; the brain cortex local morphological features described by using vertex cloud are independent of the absolute value of amplitudes of imagingsignals; migration between different MRI machines is realized; and the classifying and distinguishing performance is excellent.

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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