Pulmonary nodule detection method based on CT image

A CT imaging and detection method technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problem that the detection results cannot meet the requirements of lung cancer CAD system sensitivity, the real-time requirements of CAD systems, and user ability requirements It can improve the detail display ability, reduce the local volume effect, and achieve the effect of high detection sensitivity.

Inactive Publication Date: 2016-04-06
于翠妮
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Problems solved by technology

This is mainly due to the fact that the diameter of the pulmonary nodule is smaller than the thickness of the CT layer, which causes the local volume effect inside the volume data, and the detection results cannot meet the sensitivity requirements of the lung cancer CAD system in clinical applications; The computer-interactive method is used to detect pulmonary nodules. This type of method is ge

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  • Pulmonary nodule detection method based on CT image

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[0023] Examples:

[0024] A method for detecting lung nodules based on CT images includes the following steps:

[0025] (1) Obtain CT serial images;

[0026] (2) Lung parenchymal segmentation: i is the current layer number of the sequence image, θ is the statistical experience value of the number of pixels, first use the threshold T to binarize the i-th layer image, the lung image pixel is calibrated to 1, the background pixel is calibrated to 0 , Count the number of pixels Ni, calibrated to 1, and initialize it to 1. When Ni>θ, the pixels are retained, otherwise removed, and then extended to the multi-layer sequence image area, and the above algorithm is repeated;

[0027] (3) Trachea / main bronchus removal: first automatically locate a seed point in the key layer of the hilar trachea area, and then use the area growth algorithm to grow in the 3×3×3 neighborhood of the seed point. The threshold can be selected in the trachea Select within the range of CT value, more voxels are includ...

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Abstract

The invention discloses a pulmonary nodule detection method based on a CT image. The method particularly comprises steps: (1) a CT sequence image is acquired; (2) lung parenchyma segmentation is carried out; (3) trachea/main bronchus is removed; (4) marginal nodules are detected; (5) suspected nodules are detected; (6) features are extracted and classified; and (7) pulmonary nodules are calibrated. Detection on tiny nodules can be realized, the three-dimensional information of the CT sequence image is made full use of, partial volume effects are reduced, three-dimensional visualization of the pulmonary nodules can improve the detail display capability of the pulmonary nodules, a doctor can be better assisted to improve the diagnostic accuracy, pulmonary nodule feature extraction and classification do not need a large amount of priori knowledge, the detection real-time performance is good, the pulmonary nodule detection sensitivity is high, tiny nodules formed during an early lung cancer stage can be detected particularly, and requirements on the lung cancer CAD system accuracy, the handleability and the real-time performance by the doctor can be met.

Description

technical field [0001] The invention relates to the technical field of CT, in particular to a method for detecting pulmonary nodules based on CT images. Background technique [0002] With the rapid development of the economic level, human beings pay more and more attention to their own health. Early detection, early diagnosis and early treatment of cancer have increasingly become the common concern of the whole society. If lung cancer can be diagnosed and treated at an early stage, the 5-year survival rate of patients will increase from 14% to 49%. Because CT images can provide high-definition images and provide high contrast for each tissue in the image, it is usually used in Diagnosis of lung disease. With the development of multi-slice spiral CT, doctors can obtain higher-resolution images (HRCT), and obtain more patient image information through one detection, further expanding the application of CT images. But at the same time, it also increases the daily burden of re...

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0012G06T2207/10081G06T2207/20036G06T2207/30064
Inventor 于翠妮孙燕新尹喜玲韩景奇李涌王明帅赵钢
Owner 于翠妮
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