Heart failure detection method based on combined semantic technology and medical image segmentation

A technology of heart failure and semantic technology, which is applied in image analysis, medical science, image data processing, etc., can solve the problems of missing edge detail information, large amount of calculation required for segmentation, etc., and achieve the effect of reducing wrong segmentation and improving extraction accuracy

Inactive Publication Date: 2014-09-10
RES INST OF SUN YAT SEN UNIV & SHENZHEN
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Problems solved by technology

For medical images, due to the large amount of calculation required for statistical segmentation and the loss of edge detail inform

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  • Heart failure detection method based on combined semantic technology and medical image segmentation
  • Heart failure detection method based on combined semantic technology and medical image segmentation
  • Heart failure detection method based on combined semantic technology and medical image segmentation

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Embodiment Construction

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0021] The heart failure detection process based on the combination of semantic technology and medical image segmentation proposed by the present invention is as follows: first, a sequence of cardiac magnetic resonance images is input, and then the first image in this sequence needs to be used as a sample (ie cardiac short-axis section Figure heart base), it is necessary to manually outline the left endocardial region of the heart. Then, use the convex relaxation a...

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Abstract

The invention discloses a heart failure detection method based on combined semantic technology and medical image segmentation. The method comprises the following steps: segmenting the inner membrane and the outer membrane of a left ventricle magnetic resonance image; calculating a segmentation result so as to convert image information into triple information; storing the triple information into a heart failure body established by protete; and then, automatically detecting the state of a heart by the powerful reasoning function of a semantic technology. According to the heart failure detection method based on the combined semantic technology and medical image segmentation, an input heart magnetic resonance image sequence is subjected to myocardial mass calculation and left ventricular ejection fraction calculation almost without manual intervention, the extraction precision of the inner membrane and the outer membrane of a left ventricle can be greatly improved, wrong segmentation brought by a fact that the extraction of an inner membrane profile and an outer membrane profile is affected by papillary muscles and an artifact can be reduced.

Description

technical field [0001] The invention relates to the technical field of digital home, in particular to a heart failure detection method based on the combination of semantic technology and medical image segmentation. Background technique [0002] Heart failure is recognized as one of the major diseases that endanger human life and health. According to statistics, about 1,200 to 1,500 patients worldwide suffer from heart failure; as many as 5% of the nearly 1 billion people in Europe and the United States suffer from heart failure; while the number of heart failure patients in the United States is about 5 million, with an increase of 500,000 people every year; In China, there are more than 4 million heart failure patients, and the treatment cost is close to 10 billion per year, which brings serious economic burden to the country and society. In addition, although the treatment of heart failure has achieved rapid development, its mortality rate is still high. For example, in my...

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Application Information

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IPC IPC(8): G06T7/00A61B5/055
CPCG06T7/00
Inventor 苏航冯荆平刘海亮杨艾琳
Owner RES INST OF SUN YAT SEN UNIV & SHENZHEN
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