Corticospinal tract fiber tracing method based on FMRI and DTI fusion

Abstract

The invention discloses a corticospinal tract fiber tracking method based on FMRI and DTI fusion. The method comprises the following steps: preprocessing fMRI and DTI magnetic resonance image data, extracting a maximum activation area seed point through task-state function activation to determine an important motion area, selecting ROIs (regions of interest), and completing fiber tracking by usinga probability tracking method of a multi-fiber model. According to the method, a motion activation area of fMRI is selected as a seed point for DTI fiber tracking, and CST fiber tracking of patientswith brain tumor is compared with traditional anatomical location definition to evaluate a spatial position relationship between different components of CST and boundary of the brain tumor, thus the method can provide valuable preoperative information for the patients with brain tumor.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a corticospinal tract fiber tracking method based on FMRI and DTI fusion. Background technique [0002] Blood oxygen-dependent functional magnetic resonance imaging (BOLD-fMRI) is a commonly used non-invasive preoperative functional area localization technique in recent years. The functional localization results obtained by electrical stimulation are relatively consistent, and it is a new functional area localization technology that is more popular in the world. However, similar to traditional MRI techniques, this method cannot visualize the course of important subcortical white matter fiber tracts. For deep subcortical brain tumors, the important functional areas (such as language and motor function areas) may not have been destroyed by the tumor tissue. However, the white matter fiber bundles responsible for language and motor function areas may have been pushed and d...

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Problems solved by technology

However, at present, these interesting selections are often artificially delineated based on the anatomical landmarks of the brain. This delineation method is more suitable for normal people, but for brain tumor patients, the mass effect of the tumor will cause brain structure Compressive displacement of the anatomical landmark-based white matter tracts of important functional areas can therefore affect the accuracy of the results

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