Epilepsy focus positioning method and system

A positioning method and lesion technology, applied in the field of image processing, can solve problems such as error-prone and large differences in epilepsy, and achieve the effects of saving running time, solving incomplete features, and improving sensitivity and specificity

Active Publication Date: 2021-02-09
SHENZHEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] Therefore, the present invention aims to solve the problems of large differences and error-prone manual diagnosis of epilepsy in the prior art, thereby providing a method and system for locating epileptic focus, which can automatically learn features and patterns from data, and objectively and accurately locate epileptic focus. Carry out positioning diagnosis

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  • Epilepsy focus positioning method and system
  • Epilepsy focus positioning method and system
  • Epilepsy focus positioning method and system

Examples

Experimental program
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Embodiment 1

[0040] The embodiment of the present invention provides a method for locating epileptic focus, which is applied in conventional MRI-negative epilepsy, and the patient's condition can be effectively controlled through timely and accurate focus locating diagnosis. Such as figure 1 shown, including the following steps:

[0041] Step S1: Segment the T1 structural images of all subjects to obtain the tissue set to be detected, and make a mask of the tissue set to be detected. The T1 structural image is an image that clearly shows the structure of the brain region.

[0042] The process of realizing the above step S1 in the embodiment of the present invention is as follows:

[0043] Step S11: Convert all subjects' T1 structural images from two-dimensional images to three-dimensional images; in practical applications, dcm2niigui software can be used to convert the format of all subjects' T1 structural images from Dicom to 3Dnifty.

[0044] Step S12: Preprocessing the 3D image, for e...

Embodiment 2

[0067] An embodiment of the present invention provides an epileptic focus positioning system, such as image 3 shown, including:

[0068] The mask production module 1 of the tissue set to be detected is used to segment the T1 structural images of all subjects to obtain the tissue set to be detected, and to make a mask of the tissue set to be detected. The T1 structural image clearly shows the brain region The image of the structure; this module executes the method described in step S1 in Embodiment 1, which will not be repeated here.

[0069] The DKI parameter map estimation module 2 of the tissue set to be tested is used to extract the tissue area of ​​the gradient-weighted MRI data of all subjects by using the mask of the tissue set to be tested, and estimate the DKI parameter map of the tissue area; this module implements The method described in step S2 in Example 1 will not be repeated here.

[0070] The feature extraction and classification module 3 of the tissue set to...

Embodiment 3

[0073] An embodiment of the present invention provides a computer device, such as image 3 As shown, the device may include a processor 51 and a memory 52, wherein the processor 51 and the memory 52 may be connected via a bus or in other ways, image 3 Take connection via bus as an example.

[0074] The processor 51 may be a central processing unit (Central Processing Unit, CPU). Processor 51 can also be other general processors, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), field programmable gate array (Field-Programmable Gate Array, FPGA) or Other chips such as programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or combinations of the above-mentioned types of chips.

[0075] As a non-transitory computer-readable storage medium, the memory 52 can be used to store non-transitory software programs, non-transitory computer-execu...

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Abstract

The invention discloses an epilepsy focus positioning method and system, and the method comprises the steps: firstly carrying out the segmentation of a T1 structural image of an image clearly displaying a brain region structure, obtaining a to-be-detected tissue set, manufacturing a corresponding mask, extracting all tissue regions of tested gradient weighted MRI data through the mask, estimatinga DKI parameter graph, and inputting the DKI parameter graph into a neural network, extracting features to obtain feature vectors, further inputting the feature vectors into a classifier for classification, and judging whether the epilepsy focus exists or not. According to the method, the epilepsy focus analysis accuracy is higher on the basis of the DKI parameter graph with higher nerve tissue representation sensitivity and specificity; the whole brain is replaced by the brain division organization structure for parameter graph estimation, so that the calculation amount is reduced; the neuralnetwork constructed by transfer learning is used for feature extraction, the problem that features extracted by directly training and extracting the feature network are not comprehensive due to smallmedical data volume is solved, the method and system are applied to conventional MRI negative epilepsy, and the illness state of a patient can be effectively controlled through timely and accurate focus positioning diagnosis.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method and system for locating an epileptic focus. Background technique [0002] Epilepsy, commonly known as "shorn horn" or "epilepsy", is a chronic disease in which the sudden abnormal discharge of brain neurons leads to transient brain dysfunction. It is estimated that there are about 9 million epilepsy patients in China, of which 5 to 6 million are active epilepsy patients. At the same time, about 400,000 new epilepsy patients are added every year. In China, epilepsy has become the second most common disease in neurology after headache. . In the routine MRI examination, the pathogenic focus directly related to the seizure cannot be found, which is called conventional MRI-negative epilepsy (MRI-Negative Epilepsy), and it is considered to be a subtype of epilepsy, which may be at the starting point of the seizure, and its tissue microstructure Already changed, with...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/10G06T7/33G06T7/73G06K9/62G06N3/04G06N3/08G06N20/20
CPCG06T7/0012G06T7/10G06T7/33G06T7/73G06N3/04G06N3/08G06N20/20G06T2207/10088G06T2207/20081G06T2207/20084G06T2207/30016G06F18/2411
Inventor 黄建军徐佳慧康莉
Owner SHENZHEN UNIV
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