A multi-point precise sampling system, method and device for brain tumors

A brain tumor, tumor technology, applied in the field of multi-point accurate sampling system for brain tumors, can solve the problem of lack of equipment and methods

Active Publication Date: 2022-05-24
SHANDONG UNIV QILU HOSPITAL
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

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

Method used

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  • A multi-point precise sampling system, method and device for brain tumors
  • A multi-point precise sampling system, method and device for brain tumors
  • A multi-point precise sampling system, method and device for brain tumors

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0067] like 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 craniocerebral gliomas, the preoperative MRI data were extracted, and the core components were constructed using the ITK and MTK algorithms in 3D-slicer to delineate the lesions, and the Python package pyradiomics was used to perform radiomics The first-order and second-order features are extracted, and the radiomics features of each pixel unit are subjected to 3D reconstruction and spatial clustering, so as to realize the division of intra-tumor heterogeneity based on radiomics. The analysis divided the tumor into 3-5 different regions and performed coordinate extraction of representative sampling points for each region.

[0069] b. Integrate the patient's preoperative 3D reconstructed CT with ordinary MRI, formulate a navigation plan, demarcate the scope of tumor resection, and obtain the reference coordinates of the tu...

Embodiment 2

[0082] Multi-point precision 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 3D reconstruction and spatial clustering of each radiomics feature to obtain a 3D topographic map of the cerebral cortex and realize the classification of tumor subregions;

[0086] It is used to use CT data and MRI data to make a navigation plan, demarcate the scope of tumor resection, obtain the reference coordinates of tumor boundaries and tumor entities, map them to the radiomics partition constructed by MRI, and obtain the center position coordinates and fault tolerance 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 to remove tumor lesions;

...

Embodiment 3

[0095] like figure 2As shown in the figure, a laser positioning material acquisition 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 the specimen box 5, and the sliding device includes a vertical slide 2. The vertical slideway 2 is slidably connected, and the cutter is opposite to the specimen box 5 .

[0096] It also includes a cooling table 6 , and the specimen box 5 is arranged on the top of the cooling table 6 .

[0097] like Figure 4 As shown, the bracket is a square frame structure, which includes a fixed side 9, a slide side 10 and a movable side 11, the slide side 10 is a set of opposite sides, and one end of the two slide sides 10 is fixedly connected to the fixed side 9 respectively. , the two ends of the moving side 11 are slidably connected with the two slideway sides 10, and the sliding device is vertically arranged on the moving side and is slidably connected with...

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Abstract

The present invention relates to a multi-point precise sampling system, method and device for brain tumors. Outline the tumor boundary and obtain MRI data within the tumor boundary; extract MRI data and convert the MRI data into first-order features, second-order features, shape features, and texture features; obtain a 3D topographic map of the cerebral cortex through 3D reconstruction and spatial clustering , realize the classification of tumor subregions; 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 location of each partition Center position coordinates and fault-tolerant boundary coordinate intervals; import the tumor boundary and the reference coordinates of the tumor entity into the AR device, and remove the tumor focus; import the 3D topographic map and sub-region classification of the cerebral cortex into the laser positioning and material collection device, and use the laser positioning and material collection device Slice layer by layer. Accurate positioning of tumor lesions and sampling.

Description

technical field [0001] The invention belongs to the technical field of bioengineering, and in particular relates to a multi-point accurate material sampling system method and device for brain tumors. Background technique [0002] The information disclosed in this Background section is only for enhancement of understanding of the general background of the invention and should not necessarily be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person of ordinary skill in the art. [0003] As a major disease that seriously threatens the life and health of residents, the incidence of malignant tumor is increasing year by year, but in general, the average median survival time 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 diagnos...

Claims

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Application Information

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Patent Type & Authority Patents(China)
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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