Processing method of atherosclerotic plaque medical image

Abstract

The invention discloses a processing method of an atherosclerotic plaque medical image. The processing method of the atherosclerotic plaque medical image is characterized by including the following steps: (1) semi-automatic segmentation are carried out on three parts including a blood vessel wall, a lipid pool and a plaque in an interactive mode, respective contour lines are sketched, coordinates are recorded and a file is output; (2) the coordinate file is read in, cracks are generated in a crack starting position of the plaque, fatigue crack growth simulation analysis is carried out, and the plaque life (PL) of the plaque cracks is calculated; and (3) combined with existing patient samples, hazard indexes of starting cracks in different positions of artery sections of a patient are calculated, and a hazard index chart is drawn. On the basis of the obtained atherosclerotic plaque medical image of the patient, the processing method of artery medical images is provided, the artery medical hazard index chart is drawn by the adoption of commercial software, furthermore, new patient samples can be supplemented continuously to enable the drawn hazard index chart to be more accurate, more reliable, and processing method of the atherosclerotic plaque medical image is capable of assisting medical researches.

Description

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AI Technical Summary

Benefits of technology

This patented technology uses advanced imaging technologies like X ray tomography (Xray CT) or magnetic resonance imaging (MRI), along with clinicians' experience gained from analyzing these diagnoses for potential future therapies targeted at prevention measures against cardiovascular disease. By taking advantage of this knowledge, it provides technical means that improve the accuracy and reliability of identifying patients who may have been affected by certain conditions early on during their treatment process.

Problems solved by technology

This patented technical problem addressed in this patents relates to developing systems capable of automatically extract important diagnoses from complex medical datasets without requiring extensive human interpretation.

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