Coronary artery image analysis method and data structure

Abstract

The invention provides a coronary artery image analysis method and a data structure. The coronary artery image analysis method comprises the steps of S1, performing preprocessing on reference human body data and detected human body data; S2, performing three-dimensional analysis and two-dimensional analysis on the reference human body preprocessed data and the detected human body preprocessed datato obtain reference human body macro and micro analysis data and detected human body macro and micro analysis data, and associating the reference human body analysis data and the detected human bodyanalysis data; and S3, synchronously displaying the reference human body analysis data and the detected human body analysis data. The beneficial effect is that users can simultaneously compare and observe two-dimensional image data, three-dimensional models and images in blood vessel cavities of coronary arteries of a reference human body and a detected human body so as to achieve better coronaryartery teaching effects.

Description

technical field [0001] The invention relates to an image analysis method, in particular to a coronary artery image analysis method and a data structure. Background technique: [0002] CT coronary angiography, also known as CTA (Computed Tomography Angiography, computed tomography angiography), refers to injecting a contrast agent into the blood vessel to make the blood vessel visualized under CT. The development process can be photographed to see the changes in the geometric shape of blood vessels more clearly. [0003] The analysis of coronary angiography images can play a role in the teaching process in the field of coronary medicine. However, the biggest limitation of the traditional CTA-based imaging technology is that it can only clearly see the blood in the vessel lumen, that is, it can accurately obtain the boundary of the vessel lumen. The boundary of the vessel wall is relatively blurred, and it is difficult to accurately define its boundary. Therefore, it is quant...

AI Technical Summary

Problems solved by technology

However, the biggest limitation of the traditional CTA-based imaging technology is that it can only clearly see the blood in the vessel lumen, that is, it can accurately obtain the boundary of the vessel lumen. The boundary of the vessel wall is relatively blurred, and it is difficult to accurately define its boundary. Therefore, it is quantified The analysis brings large errors, which makes the teaching of coronary angiography more difficult

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