Intelligent myocardial fibrosis analysis method and system

A myocardial fibrosis and analysis system technology, applied in the medical field, can solve the problems of clinical application limitations, misdiagnosis, and no reference for auxiliary diagnosis, etc., and achieve the effect of improving disease control

Pending Publication Date: 2022-01-21
PEOPLES HOSPITAL OF HENAN PROV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Currently, detection methods for myocardial fibrosis in patients include endocardial tissue biopsy, echocardiography, nuclear medicine imaging, cardiovascular magnetic resonance imaging, and detection of serum collagen fiber markers. However, it is an invasive test that has a great impact on patients and limits its clinical application
Echocardiography, nuclear medicine imaging and cardiovascular magnetic resonance imaging are non-invasive examination methods, which are more suitable for the detection of myocardial fibrosis in patients, but these detection methods are diagnosed by doctors looking at images, which is inefficient and Only relying on the subjective judgment of the doctor, without relevant auxiliary diagnostic reference, misdiagnosis may occur or the degree of myocardial fibrosis cannot be accurately determined

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  • Intelligent myocardial fibrosis analysis method and system
  • Intelligent myocardial fibrosis analysis method and system
  • Intelligent myocardial fibrosis analysis method and system

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0057] The myocardial fibrosis intelligent analysis system of the present embodiment, such as figure 1 shown, including:

[0058] The control terminal 1 is the main control terminal of the detection hardware 2, and controls the detection hardware 2 to execute and issue commands;

[0059] Detection hardware 2, used to detect the target heart cardiomyopathy;

[0060] The input module 3 is used to input the parameters of the target itself;

[0061] The data acquisition module 4 is used to acquire the target myocardial detection data detected by the detection hardware 2;

[0062] The analysis module 5 is used to analyze and detect target myocardial data, generate myocardial data parameters, and form a data summary file;

[0063] Memory bank 6, the user stores healthy myocardial data, which is the comparison basis for the comparison module 10;

[0064] The modification module 7 is used to replace the data content stored in the memory bank 6, remove the old data, and replace it ...

Embodiment 2

[0066] like figure 1 As shown, the area division module 8 is used to divide the detection target myocardial surface area and composition layer in the image data in the memory bank 6;

[0067] The extraction module 9 is used to extract the image data region features, and outputs the comparison target for the comparison module 10;

[0068] The comparison module 10 is used to compare the data analyzed in the analysis module 5 with the memory bank 6 to obtain a difference result;

[0069] The evaluation module 12 is used to evaluate the cardiomyopathy of the detection target, and evaluates according to the difference result obtained by the comparison module 10;

[0070] The data storage unit 13 is used to store the detection data of the detection target, and transmit the data to the modification module 7 through the wireless network.

[0071] In actual use, the user operates the control terminal 1 to control the detection hardware 2 to detect the patient's lesions, records the p...

Embodiment 3

[0082] At the specific implementation level, this embodiment provides an intelligent analysis method for myocardial fibrosis, such as figure 2 shown, including the following steps:

[0083] Step1: Obtain target parameters and obtain target detection data;

[0084] Step2: Set the health parameter indicators corresponding to the target parameter clusters, and compare the target detection data with the corresponding health parameters;

[0085] Step3: Sampling the image data of each stage of myocardial fibrosis to obtain the color gamut and density of the attack image;

[0086] Step4: Obtain the lesion area of ​​the image, evaluate the lesion rate, and generate a detection report;

[0087] Step5: Compare the numerical data with the health parameter index data to generate difference data, evaluate the lesion rate according to the difference value, and generate a test report;

[0088] Step6: Compare the target detection report with the target parameters to generate a correspondi...

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Abstract

The invention relates to the technical field of medical treatment, and in particular, relates to an intelligent myocardial fibrosis analysis method and system. The intelligent myocardial fibrosis analysis system comprises a control terminal, a detection hardware, a data acquisition module, an input module, an analysis module and a memory bank; the control terminal is a main control terminal of the detection hardware and controls the detection hardware to execute and send out a command; the detection hardware is used for detecting the myocardial fibrosis condition of the target heart; the input module is used for inputting target parameters; the data acquisition module is used for acquiring target myocardial detection data detected by the detection hardware; the analysis module is used for analyzing and detecting target myocardial data, generating myocardial data parameters and forming a data summary file; and the memory bank is used for storing healthy myocardial data for a user and is a comparison basis of the comparison module. Aiming at the defects embodied in an existing myocardial fibrosis detection technology, the invention provides the intelligent myocardial fibrosis analysis system, when the system is used, accurate diagnosis reference opinions can be provided for doctors, and the doctors can compare and push the reference opinions with own diagnosis results, so that a more accurate and objective diagnosis result can be made for a patient.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to an intelligent analysis method and system for myocardial fibrosis. Background technique [0002] Myocardial fibrosis refers to the pathological process of excessive accumulation of collagen fibers in myocardial tissue, a sharp increase in collagen concentration or disordered arrangement, and is a characteristic manifestation of a variety of cardiovascular diseases, such as arrhythmia, myocardial infarction, heart failure, etc. , is also one of the main manifestations of cardiac structural remodeling. Myocardial fibrosis is mainly characterized by the proliferation of fibroblasts and the deposition of extracellular matrix. The deposition of extracellular matrix can cause increased cardiac stiffness and decreased compliance, affecting the normal diastolic and systolic functions of the heart. Myocardial fibrosis is a key factor in determining the prognosis of various cardiovascula...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H30/20G06T7/00G06T7/62G16H10/60G16H15/00G16H50/20G16H50/30G16B30/10G16B40/00
CPCG16B30/10G16B40/00G16H15/00G16H30/20G16H50/20G16H50/30G16H10/60G06T7/0012G06T7/62G06T2207/30048G06T2207/30096
Inventor 吴金涛李飞飞张雷明胡娟胡光玲
Owner PEOPLES HOSPITAL OF HENAN PROV
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