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Quantitative analysis method for cerebral cortex complexity during treating three-D magnetoencepha-resonance data

A cerebral cortical and complex technology, applied in image data processing, image data processing, diagnostic recording/measurement, etc., can solve problems such as large influence of human factors, unfavorable general promotion, and lack of cerebral sulci.

Inactive Publication Date: 2007-04-18
INST OF AUTOMATION CHINESE ACAD OF SCI
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AI Technical Summary

Problems solved by technology

First of all, there is no strict and uniform standard for manual calibration of brain grooves, which is greatly affected by human factors, and the manual workload is heavy, which is not conducive to general promotion
Secondly, the parametric surface is a second-order smooth surface, which cannot express the small shape changes described by the data points, so the accuracy is low

Method used

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  • Quantitative analysis method for cerebral cortex complexity during treating three-D magnetoencepha-resonance data
  • Quantitative analysis method for cerebral cortex complexity during treating three-D magnetoencepha-resonance data
  • Quantitative analysis method for cerebral cortex complexity during treating three-D magnetoencepha-resonance data

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Embodiment Construction

[0014] As shown in Figure 1,

[0015] Step 1 (S1), acquisition of brain structure MRI data: acquisition of brain functional structure MRI data is completed on an MRI scanner capable of forming T1 or T2 weighted structural images. There are no special requirements for the specific parameters of the imaging, and the spatial resolution is generally a few millimeters, such as 1×1mm 2 . , There are no special requirements for the cooperation of the subjects, only the subjects need to be told to close their eyes quietly and keep their heads as still as possible.

[0016] Step 2 (S2), preprocessing: After the data collection is completed, conventional preprocessing is generally required, including head movement correction, spatial standardization, etc., but these processes are determined according to the purpose of use and are not necessary. After these basic processes are completed, the cranial part, as well as the cerebellum, brainstem, etc., are removed, and the brain is divided...

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Abstract

A method used in 3D cerebral magnetic resonance data processing for quantitatively analyzing the complexity of cortex and finding out the exception of cerebral cortex shape caused by psychosis and neuropathy includes such steps as acquiring 3D nuclear magnetic resonance data, pre-processing, extracting the body elements at the interface between all or local cerebral cortex gray matter and cerebrospinal fluid, forming the discrete external surface of cerebral gray matter, and calculating the dimensions of parting information about the discrete data in 3D space to obtain the quantitative description of said shape complexity.

Description

technical field [0001] The invention relates to the technical field of magnetic resonance imaging, in particular to a method for quantitatively analyzing cortex complexity in three-dimensional brain magnetic resonance data processing using geometric fractal dimensions to process brain structural magnetic resonance data. Background technique [0002] Magnetic Resonance Imaging (MRI) mainly uses nuclear magnetic resonance imaging of hydrogen nuclei for imaging. The size of the MRI signal in the image core is mainly determined by the proton density of the tissue, the longitudinal and transverse relaxation time, the inhomogeneity of the magnetic field and other factors. In the brain tissue, the longitudinal relaxation times of white matter, gray matter and cerebrospinal fluid are relatively different, so a clear structural image is formed, which makes quantitative analysis of brain structure possible. [0003] Long-term autopsy studies have proved that the shape complexity of t...

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Application Information

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IPC IPC(8): A61B5/055G06T1/00G06T17/00
Inventor 蒋田仔李晓波朱万琳
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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