Method for correcting nerve navigation intraoperative functional image shift

Abstract

The invention provides a method for correcting nerve navigation intraoperative functional image shift. The method provides a mathematical model for avoiding nerve navigation intraoperative BOLD functional image shift of low field strength intraoperative magnetic resonance based on a non-rigid registration algorithm and a thin plate spline calculating method by combining low field strength intraoperative MRI technology. Preoperative and intraoperative magnetic resonances of low field strength are used as data fields before and after deformation respectively, a brain deformation tendency is calculated by using the on-rigid registration algorithm and the thin plate spline method, and the brain deformation tendency is applied to a BOLD functional image so as to individually predict the functional image shift condition. The method can avoid brain shift caused by gravity, pressure, and even certain current unknown factors. The method guarantees the predicting precision of the model, saves the operation time, can be popularized and applied in clinics, and improves the accuracy and curative effect of a nerve navigation operation.

Description

technical field [0001] The invention relates to a method for using a medical instrument, in particular to a method for correcting functional image displacement in neuronavigation. Background technique [0002] Intraoperative brain shift is the main factor affecting the accuracy of neurosurgery navigation systems. If the degree of brain shift exceeds the allowable error range, it will seriously interfere with the reliability of neuronavigation technology. Intraoperative magnetic resonance (iMRI) (intraoperative Magetic Resonance Imaging) is currently the most accurate and reliable solution to correct brain shift in neuronavigation, and has excellent application prospects. At present, only a few large neurosurgery centers in the world are equipped with intraoperative MRI systems. [0003] For tumors in the functional area of ​​the cerebral cortex, because the tumor often causes the structure of the adjacent brain sulci to be compressed and displaced, the tumor mass can also c...

AI Technical Summary

Problems solved by technology

The Image Processing and Analysis research group of Yale University and the Biomedical Modeling Laboratory of Vanderbilt have carried out research on solving brain deformation based on physical behavior models, but they cannot accurately simulate the physical behavior of brain tissue, and the boundary conditions are difficult to obtain, which is currently limited to experiments conditions, it cannot be applied clinically

The research group of Nikos Chrisochoides conducted preliminary research on mathematical models based on mathematical methods, but they used non-rigid body registration algorithms based on gray levels, which required a huge amount of calculations, required multiple computers to perform parallel calculations, and could not be applied clinically, and their models only It is experimentally used to enhance the deformation of preoperative magnetic resonance images, but not applied to the displacement prediction of functional images such as BOLD

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