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Method for predicting myocardial ischemia position on basis of self-encoder

An autoencoder, myocardial ischemia technology, applied in the direction of instruments, special data processing applications, electrical digital data processing, etc., can solve the problems of increasing myocardial ischemia costs and safety risks.

Active Publication Date: 2016-08-17
ZHEJIANG UNIV
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Problems solved by technology

[0004] However, the current clinical diagnosis of myocardial ischemia uses MRI delayed contrast enhancement (Delay Contrast Enhancement) images as the gold standard. In order to obtain delayed contrast enhancement images, patients need to be injected with contrast agents, which increases the cost and safety risks of diagnosing myocardial ischemia.

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  • Method for predicting myocardial ischemia position on basis of self-encoder
  • Method for predicting myocardial ischemia position on basis of self-encoder
  • Method for predicting myocardial ischemia position on basis of self-encoder

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Embodiment Construction

[0035] In order to describe the present invention more clearly, the technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0036] The present invention is based on the prediction method of the myocardial ischemia position of self-encoder, and specific implementation steps are as follows:

[0037] S1. Obtain training samples.

[0038] To collect MRI cine sequence data and MRI delayed contrast-enhanced data of patients with myocardial ischemia, it is required to collect no less than 5 frames of images in the same cardiac cycle, and use the above-mentioned images of several cardiac cycles as the training set, in which the MRI cine sequence The data are used to provide cardiac sports field information, and the delayed contrast-enhanced data are used to provide myocardial ischemia location labels required for training.

[0039] S2. Filter the training samples.

[0040] Preprocess the ...

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Abstract

The invention discloses a method for predicting a myocardial ischemia position on basis of self-encoder. The prediction method is combined with deep learning, motion field information of myocardial ischemia is subjected to sparse encoding, and the position of myocardial ischemia can be accurately predicted. Compared with existing myocardial ischemia diagnosis means in clinic, a patient does not need to be injected with a contrast agent for delaying of enhanced contrast, and the position of myocardial ischemia can be accurately predicted according to common magnetic resonance cine sequence data.

Description

technical field [0001] The invention belongs to the technical field of heart motion analysis, and in particular relates to a method for predicting myocardial ischemia location based on an autoencoder. Background technique [0002] The heart can be regarded as an elastic body, and normal tissue and diseased tissue often have different motion characteristics. Therefore, quantitative analysis of myocardial motion is of great significance for the diagnosis of myocardial ischemia. The degree of deformation of the heart can be described by the strain in elastic mechanics. According to the definition of strain, the displacement field of the myocardium needs to be calculated first, and then its partial derivative is calculated. Therefore, the analysis of the myocardial strain field is transformed into the calculation of the myocardial motion field, and it is necessary to pay attention to the suppression of noise during the calculation process, because the noise of the displacement f...

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Application Information

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IPC IPC(8): G06F19/00
CPCG16H50/30
Inventor 刘华锋马骁勇
Owner ZHEJIANG UNIV
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