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A method for auxiliary diagnosis of congenital heart disease based on multi-view collaborative relationship

A congenital heart disease, auxiliary diagnosis technology, applied in the field of medical image processing and pattern recognition, can solve the problems of poor classification effect, inaccurate positioning, high misdiagnosis rate, and reduce the impact of artifacts and noise on diagnosis. Robustness, the effect of good feature representation

Active Publication Date: 2021-07-09
HANGZHOU DIANZI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Based on the above situation, direct use of existing image detection methods has problems such as inaccurate positioning, poor classification effect, and high misdiagnosis rate.

Method used

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  • A method for auxiliary diagnosis of congenital heart disease based on multi-view collaborative relationship
  • A method for auxiliary diagnosis of congenital heart disease based on multi-view collaborative relationship
  • A method for auxiliary diagnosis of congenital heart disease based on multi-view collaborative relationship

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Embodiment Construction

[0032] The present invention will be described in detail below in combination with specific embodiments and accompanying drawings.

[0033] According to the method steps described in the summary of the invention, a MUVDN network model structure corresponding to an embodiment of the present invention for detecting congenital heart disease focus areas on ultrasound images is as follows figure 1 shown.

[0034] Step 1: Data preprocessing.

[0035] 1-1. Obtain and mark the 3 main ultrasound views in the atrial septal defect in congenital heart disease, including the parasternal great artery cross-axis view, the apical four-chamber view, and the subxiphoid double atrium view. Obtain pictures of three main views in ventricular septal defect, including parasternal left heart long axis, largest view of ventricular septum and apical five-chamber view;

[0036] 1-2. Convert the original DICOM format ultrasonic data to JPG format, and normalize the data size, and the image size is unif...

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Abstract

The invention discloses an auxiliary diagnosis method for congenital heart disease based on multi-view synergy relationship. The steps of the present invention are as follows: 1. Medical ultrasound data enhancement and data preprocessing to obtain the medical image to be detected; 2. Input the multi-frame ultrasound images with different viewing angles to the SSD detector trained by the convolutional neural network for accurate Positioning to obtain the precise positioning result of Top1; 3: The above multi-view focus image frame C i and color ultrasound original image frame O i Combine to build data group {C i ,O i}, where i represents the i-th sample group. 4: Send the data group into the MUVDN network for training and obtain the trained MUVDN binary classification network. The invention has higher robustness. It reduces the impact of artifacts and noise on diagnosis in a single view, and effectively improves the accuracy of network classification.

Description

technical field [0001] The invention relates to the fields of medical image processing and pattern recognition, in particular to an auxiliary diagnosis method for congenital heart disease based on multi-view synergy. [0002] technical background [0003] Congenital heart disease is a congenital malformation disease, including atrial septal defect, ventricular septal defect and so on. According to statistics, the incidence of congenital heart disease accounts for 0.4% to 1% of live babies, resulting in 150,000 to 200,000 new congenital heart disease patients in China every year. Especially in areas where medical technology is scarce, 70% of patients with congenital heart disease die of complications after 2 years of age due to no surgical intervention. At present, early detection and diagnosis using echocardiography is the main diagnostic method to reduce mortality. However, there are many problems in the detection of echocardiography, such as limitations of ultrasound equip...

Claims

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Application Information

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IPC IPC(8): G16H50/20G06K9/62A61B8/08
CPCG16H50/20A61B8/0883A61B8/488A61B8/52A61B8/5269G06F18/24
Inventor 颜成钢林翊孙垚棋张继勇张勇东
Owner HANGZHOU DIANZI UNIV
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