Aortic image analyzing method and system

Abstract

The present invention discloses an aortic image analyzing method and system. The aortic image analyzing method comprises the following steps: step S1: acquiring CTA image data of the aorta; step S2: performing multiplanar reconstruction on the CTA image data; step S3: utilizing an artificial neural network model to identify the aortic lumen, the intima of the interlayer, the crevasse, and the branch vessel in the image obtained through multiplanar reconstruction; step S4: acquiring aortic dissection information according to the result of identification, wherein the aortic dissection information comprises the aortic diameter, the true lumen diameter, the false lumen diameter, the branch vessel angle, the location of the crevasse, and the extension status of the crevasse in the branch vessel. The aortic image analyzing method provided by the invention facilitates achievement of automation and rapidity of diagnosis and measurement of the aortic dissection, which not only can reduce the manual workload, but also can reduce the measurement error and avoid the influence of subjective factors.

Description

technical field [0001] The invention relates to the technical field of medical image processing, in particular to an aortic image analysis method and system. Background technique [0002] Aortic dissection is a serious clinical emergency with a high mortality rate, and the incidence rate has been on the rise in recent years. The diagnosis mainly relies on CTA. More importantly, the treatment of aortic dissection is very dependent on the measurement results of CTA, such as the location of the primary tear , the position of the secondary breach, the length of the dissection, the diameter, the accumulation of branch vessels, etc., but the current measurement method is manual measurement. Even for experienced measurers, it takes an average of 30 minutes, which is easy to cause fatigue. Details (such as the location of small secondary breaches) are easy to miss, and as the workload increases, the above problems become more obvious. Contents of the invention [0003] The purpos...

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Problems solved by technology

[0002] Aortic dissection is a serious clinical emergency with a high mortality rate, and the incidence rate has been on the rise in recent years. The diagnosis mainly relies on CTA. More importantly, the treatment of aortic dissection is very dependent on the measurement results of CTA, such as the location of the primary tear , the position of the secondary breach, the length of the dissection, the diameter, the accumulation of branch vessels, etc., but the current measurement method is manual measurement. Even for experienced measurers, it takes an average of 30 minutes, which is easy to cause fatigue. Details (such as the location of small secondary breaches) are easy to miss, and as the workload increases, the above problems become more obvious

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