Data processing system and electronic equipment for obtaining tumor position and outline in ct images

A data processing system and CT image technology, applied in the field of image processing, can solve problems such as limiting the development of automatic puncture devices and inability to process CT image data, and achieve the effects of optimizing retrieval results, reducing retrieval time, and fast and accurate positioning

Active Publication Date: 2022-01-28
SHANDONG RES INST OF TUMOUR PREVENTION TREATMENT +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The inventors of the present disclosure found in research that with the further development of computer technology and robot technology, some basic medical operations are gradually replaced by mechanical devices. Perform puncture processing, and these devices are currently unable to perform effective data processing on acquired CT images to obtain tumor location and contour information in CT images, thus limiting the development of automatic puncture devices

Method used

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  • Data processing system and electronic equipment for obtaining tumor position and outline in ct images
  • Data processing system and electronic equipment for obtaining tumor position and outline in ct images
  • Data processing system and electronic equipment for obtaining tumor position and outline in ct images

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Experimental program
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Embodiment 1

[0047] Such as Figure 1-4 As shown, Embodiment 1 of the present disclosure provides a data processing system for acquiring tumor positions and edge contours in CT images, and the steps are as follows:

[0048] The preprocessing module is configured to collect CT images, and utilizes the particle swarm optimization algorithm to perform image segmentation on the collected CT images to obtain a segmented CT image data matrix;

[0049] The model construction module is configured to establish a QSOFM classifier model, and utilizes the CT image data matrix after segmentation to carry out model training;

[0050] The data processing module is configured to use the QSOFM classifier model to identify the cancerous tumor type in the CT image, and obtain the position and contour information of the cancerous tumor in the CT image based on the multi-connected region segmentation method.

[0051]The QSOFM classifier model is a two-layer network model, including an input layer and a compet...

Embodiment 2

[0081] Embodiment 2 of the present disclosure provides a readable storage medium on which a program is stored, and when the program is executed by a processor, the data processing system for acquiring tumor positions and edge contours in CT images described in Embodiment 1 of the present disclosure is implemented. data processing method.

Embodiment 3

[0083] Embodiment 3 of the present disclosure provides an electronic device, including a memory, a processor, and a program stored in the memory and operable on the processor. When the processor executes the program, the method described in Embodiment 1 of the present disclosure is implemented. A data processing method of a data processing system for obtaining tumor positions and edge contours in CT images.

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Abstract

The present disclosure provides a data processing system and electronic equipment for acquiring the position and contour of a tumor in a CT image, acquiring a CT image, and performing image segmentation on the acquired CT image by using a particle swarm optimization algorithm to obtain a segmented CT image data matrix; Establish a QSOFM classifier model, use the segmented CT image data matrix for model training; use the QSOFM classifier model to identify the cancerous tumor types in the CT image, and obtain the location and contour of the cancerous tumor in the CT image based on the multi-connected region segmentation method Information; this disclosure makes image segmentation more detailed and reduces redundant data, which makes the automatic puncture device have a higher recognition rate of tumors in CT images, and locates the tumor position more quickly and accurately, and improves the automation of the automatic puncture device. Computer-assisted therapy lays the groundwork.

Description

technical field [0001] The present disclosure relates to the technical field of image processing, and in particular to a data processing system and electronic equipment for acquiring the position and contour of a tumor in a CT image. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. [0003] At present, there are various image-based tumor recognition methods, and most of them have outstanding recognition effects. The most commonly used methods are recognition methods based on convolutional neural networks, traditional sliding window methods, and eigenvalue methods. [0004] The inventors of the present disclosure have found in research that with the further development of computer technology and robot technology, some basic medical operations are gradually replaced by mechanical devices. For puncture processing, these devices are currently unable ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/11G06T7/187G06T7/13G06K9/62
CPCG06T7/11G06T7/187G06T7/13G06T2207/10081G06T2207/20081G06T2207/20084G06T2207/30096G06F18/24G06F18/214G06T7/0012G06T7/10
Inventor 袁双虎李玮孟祥伟于清溪刘宁魏玉春李莉李潇箫刘长民于金明
Owner SHANDONG RES INST OF TUMOUR PREVENTION TREATMENT
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