Method for correcting brain tissue deformation in navigation system of neurosurgery

Abstract

A method for correcting the deformation of cerebral tissue in the navigation system of neurosurgical operation includes such steps as obtaining target tissue (cerebral tissue) by 3D automatic division algorithm based on MRI, generating the lattice of cerebral tissue, assigning the relative biomechanical attribute to each lattice unit, creating physical mode, tracking the movement of exposed cerebral cortex layer, finit element calculating to obtain the deformation for cerebral tissue, and updating the 3D data field before operation by an algorithm to direct the operation.

Description

technical field [0001] The invention belongs to the field of medical image processing and application, and relates to a precision correction method for a surgical navigation system, in particular to a method for correcting brain tissue deformation in a neurosurgery navigation system. Background technique [0002] Brain tissue deformation in clinical surgery is an important factor affecting the accuracy of neurosurgery navigation system. Current solutions include intraoperative image correction such as intraoperative MRI, intraoperative US, etc., and physical model correction. Among them, intraoperative image correction is the method with the highest accuracy, but the disadvantage is that it is expensive and easy to cause intraoperative infection. Therefore, current research mainly focuses on the correction method based on physical models. The method based on the physical model can constrain the movement of brain tissue through the biomechanical properties of the brain tissu...

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Problems solved by technology

The Image Processing and Analysis research group of Yale University proposed a linear elastic physical model on the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis in November 2001. They used surface displacement as the boundary condition and used dual stereo cameras to obtain the boundary condition. The method of obtaining boundary conditions needs to change the existing navigation equipment to fix the two cameras. At the same time, the correction and synchronization of the two cameras make the intraoperative operation more complicated, so it cannot be conveniently applied in the clinic

The Biomedical Modeling Laboratory of Vanderbilt University published "Model-Updated Image Guidance: Initiai Clinical Experience with Gravity-Induced BrainDeformation" in "IEEE Transactions on medical imaging" (Vol.18, No.10:866-874, 1999.) A theoretical model of consolidation is proposed, but because the model requires physical strength as a boundary condition, that is, the location of the cerebrospinal fluid needs to be obtained during the operation. However, the cerebrospinal fluid is difficult to measure clinically, making this model currently unavailable for clinical application

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