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Multi-point accurate sampling system, method and device for brain tumors

A technology for brain tumors and tumors, which is applied in the field of multi-point accurate sampling system for brain tumors, can solve the problems of lack of equipment and methods, and achieve the effect of improving the discrimination rate

Active Publication Date: 2020-11-24
SHANDONG UNIV QILU HOSPITAL
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, there is no such device and method for guiding biopsy

Method used

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  • Multi-point accurate sampling system, method and device for brain tumors
  • Multi-point accurate sampling system, method and device for brain tumors
  • Multi-point accurate sampling system, method and device for brain tumors

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0067] Such as figure 1 As shown, the specific steps of the multi-point accurate sampling method for brain tumors are as follows:

[0068] a. For patients with brain glioma in imaging, extract relevant preoperative MRI data, use the core components of the ITK and MTK algorithm architecture in 3D-slicer to delineate the lesion, and use the Python package pyradiomics for radiomics First-order and second-order feature extraction, and three-dimensional reconstruction and spatial clustering of the radiomics features of each pixel unit, so as to realize the division of preoperative tumor heterogeneity based on radiomics. It is planned to use supervised clustering The analysis divides the tumor into 3-5 different regions, and extracts the coordinates of representative sampling points in each region.

[0069] b. Fusion the patient's preoperative three-dimensional reconstruction CT with ordinary MRI, formulate a navigation plan, demarcate the range of tumor resection, and obtain the r...

Embodiment 2

[0082] A multi-point precise sampling system for brain tumors, including:

[0083] Used to obtain MRI data within the tumor boundary;

[0084] It is used to extract MRI data and convert MRI data into first-order features, second-order features, shape features, and texture features;

[0085] It is used to carry out three-dimensional reconstruction and spatial clustering of each radiomics feature to obtain a 3D topographic map of the cerebral cortex to realize the classification of tumor subregions;

[0086] It is used to use CT data and MRI data to formulate a navigation plan, calibrate the scope of tumor resection, and obtain the reference coordinates of the tumor boundary and tumor entity, map to the radiomics partition constructed by MRI, and obtain the center position coordinates and fault-tolerant boundaries of each partition Coordinate interval;

[0087] It is used to import the reference coordinates of the tumor boundary and tumor entity into the AR device, and remove ...

Embodiment 3

[0095] Such as figure 2As shown, a laser positioning and sampling device includes a bracket, a sliding device, a cross laser positioner 3, a specimen box 5, and a cutter. The sliding device is arranged opposite to the specimen box 5. The sliding device includes a vertical slide 2, and the cutter and The vertical slideway 2 is slidingly connected, the cutter is opposite to the sample box 5, a connecting rod is arranged on the top of the sliding device, and a cross laser positioner 3 is arranged at one end of the connecting rod, and the cross laser positioner 3 is located above the sample box 5.

[0096] A cooling platform 6 is also included, and the sample box 5 is arranged on the top of the cooling platform 6 .

[0097] Such as Figure 4 As shown, the bracket is a square frame structure, which includes a fixed side 9, a slideway side 10 and a moving side 11, the slideway side 10 is a set of opposite sides, and one end of the two slideway sides 10 is fixedly connected to the ...

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Abstract

The invention relates to a multi-point accurate sampling system, method and device for brain tumors. The method comprises the steps of drawing a tumor boundary, and acquiring MRI data in a tumor boundary range; extracting MRI data, and converting the MRI data into a first-order feature, a second-order feature, a shape feature and a texture feature; through three-dimensional reconstruction and spatial clustering, obtaining a cerebral cortex 3D topographic map, and realizing classification of tumor sub-regions; formulating a navigation plan by utilizing the CT data and the MRI data, calibratinga tumor excision range, acquiring reference coordinates of a tumor boundary and a tumor entity, mapping the reference coordinates to an imaging subarea constructed by MRI, and acquiring a central position coordinate and a fault-tolerant boundary coordinate interval of each subarea; importing the reference coordinates of the tumor boundary and the tumor entity into AR equipment, and enabling a tumor focus to be excised; and introducing the cerebral cortex 3D topographic map and the sub-regions into a laser positioning and sampling device in a classified manner, and performing slicing layer by layer by using the laser positioning and sampling device. Accurate positioning and sampling of tumor focuses are realized.

Description

technical field [0001] The invention belongs to the technical field of bioengineering, and in particular relates to a method and a device for a multi-point accurate sampling system for brain tumors. Background technique [0002] The information disclosed in this background section is only intended to increase the understanding of the general background of the present invention, and is not necessarily taken as an acknowledgment or any form of suggestion that the information constitutes the prior art already known to those skilled in the art. [0003] As a major disease that seriously threatens the life and health of residents, malignant tumors have an increasing incidence year by year, but overall, the average median survival period of various malignant tumors has been extended from 1 year at the beginning of this century to 10 years. This is mainly due to the continuous development of anti-tumor precision diagnosis and treatment technology and early screening and diagnosis t...

Claims

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Application Information

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IPC IPC(8): A61B5/00A61B5/055A61B10/06A61B34/20A61B34/10
CPCA61B5/004A61B5/055A61B34/20A61B10/06A61B2034/2051A61B2034/105
Inventor 薛皓李刚李柏延邓林倪石磊桑元华薛付忠刘宏
Owner SHANDONG UNIV QILU HOSPITAL
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