Screening method for candidate nodules based on CT images

Abstract

The invention discloses a screening method for candidate nodules based on CT images and relates to the field of medical image processing. The screening method comprises the following steps: step 1, obtaining a to-be-detected lung CT image f0(x, y); step 2, binarizing the lung CT image f0(x, y) in the step 1 and extracting a lung parenchyma preliminary template f1(x, y); step 3, performing lung parenchyma repair and calculation on the lung parenchyma preliminary template f1 (x, y) to obtain a lung parenchyma region image f2 (x, y); step 4, binarizing the lung parenchyma region image f2(x, y) and screening candidate nodules to obtain a candidate nodule set R; step 5, constructing a 3DCNN network structure for classifying candidate nodules; step 6, training the 3DCNN network model according to the 3DCNN network structure and the library lung CT image in a LIDC lung image database; and step 7, determining the probability of each candidate nodule in the candidate nodule set R being a pulmonary nodule according to the 3DCNN network model.

Description

technical field [0001] The invention relates to a method for detecting pulmonary nodules, in particular to a method for screening candidate nodules based on CT images. Background technique [0002] The detection of pulmonary nodules is critical to the processing of lung CT images. CT can provide high-resolution images of the lungs, providing important information for analyzing the presence or absence of pulmonary nodules in lung tissue and the specific location and shape of pulmonary nodules. in accordance with. A huge number of CTs not only provide accurate information, but also greatly increase the workload of radiologists. Therefore, the intelligent processing of CT images came into being. It can not only reduce the labor intensity of doctors and the possible omissions in lung CT images, but also provide accurate quantitative analysis for doctors through image segmentation and feature quantification. [0003] At present, the segmentation of the lung parenchyma in the lu...

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Problems solved by technology

[0004] The purpose of the present invention is to solve the problem of over-segmentation of lung parenchyma or under-segmentation of lung parenchyma in the process of processing lung CT images, and the failure to eliminate a large number of image feature points of non-pulmonary nodules, resulting in screening suspected pulmonary nodules For the problem of difficult image feature points, a screening method for candidate nodules based on CT images is provided

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