Soft tissue surface deformation tracking method based on sub-blocks

A technology of surface deformation and soft tissue, which is applied in the field of medical image processing and application, can solve the problems that the point set data cannot be too large, cannot converge, and the point set matching effect is not good, so as to improve the navigation accuracy

Active Publication Date: 2016-02-10
FUDAN UNIV
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Problems solved by technology

This method has the following defects: (1) The amount of data in the point set should not be too large, that is, the surface of the soft tissue should not be too large, otherwise it will not be able to converge; (2) It is required that the surface shape of the soft tissue surface before and after deformation should be consistent, and sh

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  • Soft tissue surface deformation tracking method based on sub-blocks
  • Soft tissue surface deformation tracking method based on sub-blocks
  • Soft tissue surface deformation tracking method based on sub-blocks

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Embodiment 1

[0038] Example 1 Trial Applied to Deformation Tracking of Soft Tissue Surface in Operation

[0039] For the 240×240×197 three-dimensional MRI brain tissue data field, the brain tissue was extracted by using an algorithm combining automatic segmentation and manual segmentation, and the score gray threshold was set at 0.5;

[0040] The extracted brain tissue was discretized into 162,650 grid units using a tetrahedral grid, the number of nodes was 30,150, and the maximum tetrahedron size was 5×5×5mm 3 , to extract mesh surface nodes;

[0041] Install the tracking tool on the 3D laser scanner, obtain the coordinate transformation relationship between the space of the 3D laser scanner and the space of the tracking tool through calibration, fix the reference frame on the patient's head, and the reference frame can be tracked by the tracking device, and the 3D laser scanner Installed on a tripod with standard degrees of freedom, adjust the tripod so that the acquisition lens is loca...

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Abstract

The invention belongs to the field of medical image treatment and application, and relates to a soft tissue surface deformation tracking method. The method comprises a soft tissue division algorithm and comprises the following steps: carrying out grid processing on an extracted target tissue to obtain an initial soft tissue surface point set; acquiring a deformed soft tissue surface point set by a three-dimensional laser scanning instrument or intraoperative three-dimensional imaging equipment; carrying out crude registration on a deformed soft tissue surface and an initial soft tissue surface by a rigid registration method; and finally acquiring a point-to-point mapping relation of the two point sets on the basis of a sub-block type energy function minimum non-rigid registration algorithm. The method is easy to implement and reliable in precision, and can be integrated in an existing navigation system, intraoperative soft tissue deformation correction is implemented, so that the precision of the navigation system is improved greatly, and clinical application is facilitated.

Description

technical field [0001] The invention belongs to the field of medical image processing and application, and relates to a sub-block-based soft tissue surface deformation tracking method. This method can be used to track the deformation of the soft tissue surface during surgery, and then realize the correction of soft tissue deformation during surgery, and greatly improve the accuracy of the surgical navigation system. Background technique [0002] Studies have shown that soft tissue deformation often occurs during image-guided surgery. Taking neurosurgery navigation surgery as an example, during the operation, due to the outflow of cerebrospinal fluid after craniotomy, the change of intracranial pressure, and the influence of factors such as intraoperative operation and gravity, brain tissue deformation will be caused, and intraoperative brain deformation will cause navigation positioning. Errors reduce navigation accuracy and lead to postoperative residual tumors. The biome...

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Application Information

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IPC IPC(8): A61B19/00G06T7/00G06T17/00
Inventor 章琛曦宋志坚王子龙姚德民王满宁
Owner FUDAN UNIV
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