Brain surgery auxiliary instrument for neurosurgery department

Abstract

The invention belongs to the technical field of medical apparatus and instruments, and discloses a brain surgery auxiliary instrument for the neurosurgery department. The brain surgery auxiliary instrument comprises an image data collecting module, a dispersion weighting module, a preprocessing module, an extracting module and an analysis module, wherein the image data collecting module is used for collecting two groups of brain image data of a normal people group and a patient group; the dispersion weighting module is used for carrying out processing on a graph collected by the image data collecting module by utilizing a dispersion weighting sequence, and thus dispersion image data is obtained; the preprocessing module is used for carrying out preprocessing on the dispersion image data; vortex removing processing and head movement correcting are carried out on the dispersion image data by adopting FSL software based on Linux; the extracting module is used for extracting the features of an anisotropy skeleton image, an average diffusion rate skeleton image and a radial diffusion rate skeleton image of each individual obtained by the preprocessing module; the analysis module carriesout multivariate analysis on the obtained areas with significant differences. For the brain surgery auxiliary instrument, by utilizing the DTI imaging model, through the multivariate research method,a lesion area is found for the clinical treatment, and radiologic evidence is provided.

Description

technical field [0001] The invention belongs to the technical field of medical devices, and discloses a neurosurgical brain operation auxiliary instrument. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: [0003] During neurosurgery and brain surgery in the hospital, it is necessary to observe and record among different instruments. Imaging equipment is required. [0004] Diffusion tensor imaging (DTI) is a non-invasive imaging technology that can provide the diffusion motion of water molecules in vivo. It can detect microscopic changes in tissues that cannot be observed by traditional MRI. It is a major breakthrough in MR imaging technology. Pattern classification based on brain imaging information is a hot topic in current brain imaging research. It is an important application of computer-aided analysis to use image classification methods to calculate the possibility of a DTI image having a certain attri...

AI Technical Summary

Problems solved by technology

[0010] In the existing imaging technology, the method based on the atlas cannot extract the relevant variables of the sub-regions under the atlas as features, so that it is impossible to find the lesion area in the sub-region

At the same time, this method does not consider the influence of age on white matter

[0011] Traditional image evaluation methods cannot be used to evaluate image blur for different content

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