Non-invasive method for evaluating narrow lesion blood resistance based on coronary CT angiography

Abstract

The invention provides a non-invasive method for evaluating narrow lesion blood resistance based on cCTA aiming at the coronary CT angiography (cCTA) image, belongs to the field of auxiliary diagnosis of medical images, and mainly relates to a haemodynamics simulation analysis method based on cCTA. The non-invasive method comprises the following steps of 1, conducting coronary artery three-dimensional rebuilding based on the cCTA image and extracting a narrow lesion 3D model; 2, constructing 7 sets of boundary conditions corresponding to different total blood flow volume conditions; 3, applying the boundary conditions obtained in the step 2 to the narrow lesion model obtained in the step 1 and utilizing a computational fluid dynamics (CFD) method to conduct simulation computation on steady-state blood flow distribution conditions corresponding to all the boundary conditions; 4, extracting a pressure drop-blood flow curve from 7 simulation results and extracting four parameters for representing slowness and steepness on the curve to be used for evaluating the blood resistance. Through the combination of a cCTA technology and a CFD technology, the pressure drop-blood flow curve for representing the narrow lesion blood resistance and characteristic parameters of the pressure drop-blood flow curve are extracted, and the extraction is feasible in principle. According to the non-invasive method for evaluating the narrow lesion blood resistance based on the cCTA aiming at the coronary CT angiography image, the blood resistance distribution corresponding to the largest hyperaemia state of a patient does not need to be estimated, and therefore the non-invasive method is superior to an existing method and it is ensured that the evaluation accuracy is improved in principle.

Description

technical field [0001] The invention uses coronary CT angiography (cCTA) images to establish a new non-invasive method for evaluating blood flow resistance of coronary artery stenosis lesions based on pressure drop-blood flow curves. The invention belongs to the field of auxiliary diagnosis based on medical images, and mainly relates to Hemodynamic simulation analysis method of cCTA. Background technique [0002] Coronary atherosclerotic heart disease (CHD) is a serious disease that endangers human health. Percutaneous coronary intervention (PCI) is an effective means of treating it clinically. In 2013 alone, a total of 454,505 cases of PCI were completed nationwide. The premise of giving reasonable treatment is an accurate assessment of the functional significance of coronary artery stenosis, but unfortunately, there is no direct correspondence between anatomical morphological stenosis and hemodynamic functional stenosis. Coronary angiography (CAG) cannot accurately evalua...

AI Technical Summary

Problems solved by technology

The biggest problem with this method is that it needs to accurately obtain the distribution of blood flow resistance corresponding to the patient’s maximum hyperemia state. At present, this method uses a series of physiological models (empirical formulas) to indirectly estimate the maximum hyperemia from cCTA images. Therefore, the individual differences of different patients cannot be fully considered, and its accuracy is also greatly limited by the estimation of the distribution of blood flow resistance.

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