Heart segmentation model and pathological classification model training, heart segmentation and pathological classification method and device based on heart MRI (Magnetic Resonance Imaging)

Abstract

The invention provides a heart segmentation model and pathology classification model training, heart segmentation and pathology classification method and device based on heart MRI (Magnetic Resonance Imaging), and the method comprises the steps: suppressing a residual background part with a small pixel gray level change through a standard deviation filter, highlighting a left ventricle, a right ventricle and a myocardial ,the central position of the left ventricular myocardial wall being further obtained through canny edge detection and circular Hough transform, drawing a rectangular mask, the two-dimensional image being cut based on the rectangular mask to serve as input for training a preset neural network model for training. Background interference can be greatly inhibited, and fast convergence of neural network training is promoted. The pathology classification model training method comprises the following steps: segmenting a two-dimensional image obtained by segmenting each frame of cardiac magnetic resonance imaging short axis in a cardiac cycle based on a cardiac segmentation model, calculating classification feature values, and constructing a random forest based on the classification feature values of a plurality of samples and pathology classification to obtain a cardiac pathology classification model; and realizing automatic pathological classification.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a cardiac segmentation model and pathological classification model training, cardiac segmentation, pathological classification method and device based on cardiac MRI (Magnetic Resonance Imaging, magnetic resonance imaging). Background technique [0002] One of the most important organs in the human body, the heart is the main organ in the circulatory system that powers the flow of blood. Cardiovascular Disease (CVD), also known as circulatory system disease, is the manifestation of systemic vascular disease or systemic vascular disease in the heart, and has the characteristics of high prevalence, high disability rate and high mortality rate. It has become the most common cause of death in humans. The diagnosis of CVD is usually made in the late stage of symptoms, and the cost of late intervention is high, and the treatment effect is greatly reduced, so the quant...

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Problems solved by technology

[0005] The embodiment of the present invention provides a heart segmentation model and pathological classification model training based on cardiac MRI, heart segmentation, pathological classification method and device, to solve the problem of slow convergence and poor recognition effect of the segmentation model during the training process

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