Ultrasonic carotid artery intima media thickness measurement device and method based on deep learning

A measurement method and deep learning technology, applied in the field of medical image processing, can solve problems such as observer error, tediousness, and inability to meet massive data processing

Inactive Publication Date: 2017-02-15
TIANJIN UNIV
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Problems solved by technology

Due to the different levels of training and experience of operators, the definition of boundaries is affected by subjective cognition, resulting in different measurement results obtained by different operators, that is, there are differences between observers; even if the same operator, the results measured at different times There will also be differences, that is, intra-observer errors, which are not repeatable, time-consuming and cumbersome, and cannot meet the needs of massive data processing in modern medicine

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  • Ultrasonic carotid artery intima media thickness measurement device and method based on deep learning

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Embodiment Construction

[0085] Although IMT segmentation algorithms have made breakthroughs in recent years, it is difficult for these existing algorithms to meet the requirements of full automation, speed, accuracy, and robustness at the same time. The present invention aims to develop an IMT measurement algorithm with better overall performance, that is, without human participation, relatively low time complexity, high consistency between automatic measurement results and expert manual measurement results, and uniform for internal seed films with different morphological structures. Satisfactory measurement results can be obtained. For the first stage, the present invention applies the convolutional neural network to automatically identify the distal end of the superborn carotid artery, and then extracts the ROI. Then, the pattern classifier constructed by stacked autoencoder and logistic regression layer is used to classify the pixels, and the area information and position information of the classi...

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Abstract

The invention relates to medical image processing, and provides an IMT (Intima Media Thickness) measurement algorithm with good overall performance. By using the method, there is no need for artificial participation, the time complexity is relatively low, the result of automatic measurement and the result of manual measurement by experts are highly consistent, and a satisfactory measurement result can be obtained for intima media of different morphological structures. An ultrasonic carotid artery intima media thickness measurement method based on deep learning of the invention comprises the following steps: (1) ROI (Region of Internet) acquisition; automatically identifying the far end of an ultrasonic carotid artery by use of a convolution neural network (CNN), and extracting an ROI; (2) pixel classification: performing more advanced feature extraction, and after feature extraction, building a pattern classifier by use of a stacked auto-encoder and a logistic regression classification layer to complete image pixel classification; and (3) boundary extraction: selecting a classification region based on the area information and location of a target classification region, and performing polynomial curve fitting on the classification boundary. The method is mainly applied in medical image processing.

Description

technical field [0001] The present invention relates to medical image processing, in particular, to a device and method for measuring the intima-media thickness of an ultrasonic carotid artery based on deep learning. Background technique [0002] Cardiovascular and cerebrovascular diseases have become the primary diseases that endanger human health. According to the survey of the World Health Organization, the number of people who died of cardiovascular and cerebrovascular diseases in the world in 2012 was as high as 17.5 million, accounting for about 30% of the total global death population. Atherosclerosis is the primary cause of cardiovascular and cerebrovascular diseases. It is mainly manifested by the deposition of lipids and cholesterol in the blood on the inner wall of blood vessels, which makes the intima media thicker and less elastic. This pathological condition may last for many years and It is not discovered, but plaque in blood vessels can lead to complete bloc...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/46G06N3/04
CPCG06N3/04G06V10/44G06F18/241
Inventor 孙萍李锵关欣
Owner TIANJIN UNIV
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