FMRI and DTI fusion-based vault white matter segmentation method

A white matter and dome technology, applied in the field of image processing, can solve the problem of less involvement

Active Publication Date: 2016-12-07
XI AN JIAOTONG UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

However, the current research and understanding of the sub-branches of the fornix white matter is rarely involved. The segmentation of the fornix white matter sub-branches is of great significance for the prevention and targeted treatment of memory-related mental diseases.

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  • FMRI and DTI fusion-based vault white matter segmentation method
  • FMRI and DTI fusion-based vault white matter segmentation method
  • FMRI and DTI fusion-based vault white matter segmentation method

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Embodiment Construction

[0019] The present invention is described in detail below in conjunction with accompanying drawing.

[0020] The present invention is a method for segmenting fornix white matter based on fMRI and DTI fusion, and the specific steps are as follows:

[0021] (1) Preprocessing fMRI and DTI magnetic resonance imaging data. Preprocessing includes functional magnetic resonance imaging and diffusion tensor imaging. fMRI preprocessing includes head segmentation, time correction, head movement correction, spatial smoothing, time domain bandpass filtering, linear drift removal and redundancy removal. DTI preprocessing includes steps such as eddy current deformation correction, scalping operation, calculation of diffusion tensor of each voxel and calculation of FA, MD and other diffusion parameters.

[0022] The fMRI data preprocessing was completed by writing Batch files (data batch processing) based on AFNI and FSL software under the Linux system Ubuntu14.04. For preprocessing see fi...

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Abstract

The invention relates to an fMRI and DTI fusion-based vault white matter segmentation method. The method includes the following steps that: fMRI and DTI magnetic resonance imaging data are pre-processed; regional segmentation is performed on a hippocampal encephalic region based on resting state function connections; an ROI is selected; and vault white matter segmentation is carried out based on a hippocampal sub-region and inter-thalamus white matter fiber bundle tracing technique. According to the method, the hippocampal encephalic region is segmented, and sub-regions obtained after segmentation are adopted as seed points; and the thalamus, adopted as a target encephalic region, is subjected to white matter fiber tracing, so that vault white matter can be segmented. The vault white matter is segmented based on the information of the function and structure of a human brain, and therefore, the fMRI and DTI fusion-based vault white matter segmentation method has the advantages of novel thinking, simple process and important scientific and clinical value.

Description

technical field [0001] The invention belongs to the technical field of image processing, and specifically relates to a method for segmenting fornix white matter based on the fusion of fMRI and DTI, in particular to segmenting the hippocampal brain region through fMRI functional connection, using the segmented sub-region as the seed point, and using the thalamus as the target brain region. The method of segmenting the white matter of the fornix by tracing white matter fibers in the region. Background technique [0002] fMRI is one of the main non-invasive methods to study brain activity and brain function, with millimeter-level spatial resolution. The development of fMRI method has made a breakthrough in the study of brain cognitive function, and it has become an important tool for neuroscience to explore the neural mechanism of the human brain. DTI takes advantage of the anisotropic characteristics of water molecule diffusion in heterogeneous tissues. By applying multi-dire...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T3/40
CPCG06T3/4038G06T2207/20221G06T2207/30016G06T2207/10088
Inventor 林盘窦顺阳王雪丽
Owner XI AN JIAOTONG UNIV
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