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Plaque vulnerability prediction method and device, equipment and storage medium

A prediction method and vulnerability technology, applied in the field of medical images, can solve the problems of discriminant difference, subjective consciousness influence, etc., and achieve the effect of effective prediction

Pending Publication Date: 2020-08-25
FUWAI HOSPITAL CHINESE ACAD OF MEDICAL SCI & PEKING UNION MEDICAL COLLEGE +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, these characteristics are qualitative, easily affected by human subjective consciousness, and there are discriminative differences between people

Method used

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  • Plaque vulnerability prediction method and device, equipment and storage medium
  • Plaque vulnerability prediction method and device, equipment and storage medium
  • Plaque vulnerability prediction method and device, equipment and storage medium

Examples

Experimental program
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Embodiment 1

[0029] figure 1 It is a flow chart of the method for predicting plaque vulnerability provided in Embodiment 1 of the present invention. This embodiment is applicable to the situation of predicting plaque vulnerability, and the method can be executed by a plaque vulnerability prediction device. The plaque vulnerability prediction device may be implemented by software and / or hardware, and the plaque vulnerability prediction device may be configured on a computing device, specifically including the following steps:

[0030] S110. Obtain characteristic data of plaques to be predicted.

[0031] Exemplarily, the plaque characteristic data to be predicted may be the plaque data to be predicted, for example, may be plaque characteristic information of any target object. In this way, based on the acquired characteristic data of the plaque to be predicted, the vulnerability probability of the plaque to be predicted can be obtained by using the trained target plaque vulnerability predic...

Embodiment 2

[0056] image 3 It is a flow chart of the method for predicting plaque vulnerability provided in Embodiment 2 of the present invention. The embodiment of the present invention may be combined with various alternative solutions in the foregoing embodiments. In the embodiment of the present invention, optionally, the training method of the target plaque vulnerability prediction model includes: performing data extraction based on the feature data of the historical plaque, and determining k different feature data groups , wherein, k is a positive integer greater than 1, each feature data group includes: a verification set and a training set; the feature data of the historical plaques in the training set based on k feature data groups and the feature data of the historical plaques For the corresponding plaque type, k plaque vulnerability prediction models to be trained of the same type and the same structure are respectively iteratively trained; based on the k plaque vulnerability ...

Embodiment 3

[0097] Figure 4 It is a flow chart of the method for predicting plaque vulnerability provided in Embodiment 3 of the present invention. The embodiment of the present invention may be combined with various alternative solutions in the foregoing embodiments. In the embodiment of the present invention, optionally, after the target plaque vulnerability prediction model is determined, the method further includes: a receiver operating characteristic curve based on the target plaque vulnerability prediction model, and The area under the receiver operating characteristic curve is used to evaluate the target plaque vulnerability prediction model. Before using the historical plaque sample data to train the target plaque vulnerability prediction model, the method further includes: acquiring the historical plaque area in the computed tomography angiography image; performing feature extraction on the historical plaque area processing to obtain the feature data of the historical plaque, w...

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Abstract

The embodiment of the invention discloses a plaque vulnerability prediction method and device, equipment and a storage medium. The method comprises the following steps: acquiring feature data of a to-be-predicted plaque; inputting the to-be-predicted plaque feature data into a trained target plaque vulnerability prediction model to obtain a vulnerability probability of the to-be-predicted plaque,with the target plaque vulnerability prediction model being obtained by training based on a plurality of historical plaque sample data; and determining whether the to-be-predicted plaque is a vulnerable plaque based on the vulnerable probability. Therefore, the probability that the plaque is a vulnerable plaque can be accurately and effectively predicted by using a non-invasive method.

Description

technical field [0001] Embodiments of the present invention relate to medical image technology, and in particular, to a plaque vulnerability prediction method, device, device, and storage medium. Background technique [0002] Now, a large part of people's death is caused by cardiovascular diseases, and most cardiac deaths can be attributed to acute coronary syndrome (Acute Coronary Syndromes, ACS). Acute coronary syndromes are usually caused by plaque rupture, which may lead to sudden narrowing of the lumen caused by thrombosis or intraplaque hemorrhage. Although methods exist for the identification of plaques, determining the vulnerability of identified plaques remains a challenge. [0003] Intravascular ultrasound (IVUS) and optical coherence tomography using optical coherence tomography (OCT) can be used to assess coronary plaque vulnerability. However, both of these modalities are invasive methods, and their invasiveness and diagnostic ability to detect the entire coro...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T5/00G06N20/10G06K9/32G06K9/62
CPCG06T7/0012G06N20/10G06T2207/10081G06T2207/20081G06T2207/20084G06T2207/30101G06V10/25G06F18/214G06F18/2415G06T5/70
Inventor 吕滨李响楠尹卫华侯志辉安云强亢寒夏晨张荣国李新阳陈宽王少康
Owner FUWAI HOSPITAL CHINESE ACAD OF MEDICAL SCI & PEKING UNION MEDICAL COLLEGE
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