Method for segmenting sulus basins on surface of pallium of a three-dimensional cerebral magnetic resonance image

Abstract

The invention relates to a method for segmenting a sulus basin on the surface of a pallium of a three-dimensional cerebral magnetic resonance image. The technical characteristics lie in that originally messy principle direction fields are dispersed on the surface of the triangularized pallium to generate a biggest smooth principle direction flow field. The core concept of the biggest principle direction dispersion is as follows: an energy function is minimized in the sulus and gyrus regions, wherein the absolute value of the maximum principle curvature is big and the generated biggest principle direction flow field is close to the original principle direction field; in other flat pallium regions, the generated biggest principle direction flow field changes smoothly. Compared with other methods, the method has the main advantage that the tracking method of the biggest principle direction flow field can fully utilize the geometry structure information of the surface of the pallium and can naturally form accurate boundaries among sulus basins although the sulus basins are possibly of asymmetrical structures.

Description

technical field [0001] The invention relates to a method for segmenting brain sulci and basins on the surface of the cerebral cortex of a three-dimensional brain magnetic resonance image, and belongs to the fields of medical image processing, computational neuroanatomy, and the like. Segmentation of sulcus basins on triangulated cortical surfaces applied to reconstructed human 3D brain MRI images. Background technique [0002] The human cerebral cortex is an extremely complex and curly anatomical structure, mainly composed of sulci and gyri, which correspond to the valleys and ridges on the cerebral cortex, respectively. Although the precise geometric patterns of sulci and gyri vary widely between individuals, the most dominant sulci and gyri are shared anatomical landmarks in the cerebral cortex. Therefore, the main sulci and gyri have been widely used to assist in the registration of non-linear brain MRI images, to analyze the anatomical structure changes of normal human ...

AI Technical Summary

Problems solved by technology

Its disadvantage is that it is difficult to control the parameters in region growth and region merging, and because the brain sulcus basin may have an asymmetric structure, the boundary of the brain sulcus basin obtained by region growth is not necessarily located in the real corona region of the brain gyrus; method 2: based on the brain A watershed method for the depth of sulci on the cortical surface, the method first uses the active surface method to find the gyrus region, then uses the watershed method to extract the sulcus region, then uses the heuristic rule to merge the over-segmented sulcus regions, and finally calculates the sulcus basin The area of ​​influence along the surface serves as the sulcus basin

Its disadvantage is that the watershed method is prone to over-segmentation, which divides a brain sulcus region into multiple brain sulcus regions, and it is difficult to control the heuristic rules to merge the over-segmented brain sulcus regions. As above, because the brain sulcus basin may be an asymmetric structure, Thus the boundary of the affected area along the surface of the sulcus region does not necessarily lie in the true coronal region of the gyrus

[0004] The existing segmentation methods of cerebral cortex sulcus basins have the following two main defects: First, because the sulcus basin is an asymmetric structure, the boundary of the sulcus basin obtained by the region growing or watershed method is not the real crown of the brain gyrus region, so the boundaries of the segmented sulcus basins are imprecise

Second, using the region growth or watershed method to segment the brain sulcus basin is prone to over-segmentation, and requires post-processing to merge regions, but the rules and parameters of region mergers are difficult to control

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