A pulmonary nodule image feature detection method based on a CT image

A technology of CT images and detection methods, applied in the field of feature detection of pulmonary nodules based on CT images, can solve the problems of low accuracy of pulmonary nodules, difficult clinical procedures, and high false positives, so as to improve positioning accuracy and reduce false positives. Positivity Effect

Active Publication Date: 2019-05-28
HUA DATA TECH (SHANGHAI) CO LTD
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Problems solved by technology

However, pulmonary nodules based on traditional pattern recognition technology have the disadvantages

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  • A pulmonary nodule image feature detection method based on a CT image
  • A pulmonary nodule image feature detection method based on a CT image
  • A pulmonary nodule image feature detection method based on a CT image

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[0046] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0047] The present invention relates to a method for detecting features of pulmonary nodule images based on CT images, such as figure 1 , figure 2 and image 3 As shown, it specifically includes the following steps:

[0048] Step S01: Input a chest CT image. The format of the image is preferably a standard DICOM file format. The image is ...

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Abstract

The invention provides a pulmonary nodule image feature detection method based on a CT image, and the method mainly comprises the steps of carrying out the translation scanning of a pulmonary region,and automatically positioning all suspected pulmonary nodule image regions; based on the suspected areas, measuring the long and short diameters and the volume of the pulmonary nodules automatically with the coordinates of the center point as the sphere center and multiple scales as the diameter ranges; and then, filtering the CT value of the input image, automatically measuring the average CT value of the pulmonary nodules, and finally obtaining the average CT value. According to the invention, the functions of automatic positioning of pulmonary nodules, automatic measurement of long and short diameters and volumes, automatic measurement of CT average values and the like can be realized. Various image features of the pulmonary nodules automatically obtained through the detection method can serve as judgment bases, and doctors are assisted in better diagnosing the benign and malignant degree and the invasion degree of the pulmonary nodules.

Description

technical field [0001] The invention relates to a medical image detection method based on artificial intelligence technology, in particular to a method for detecting features of pulmonary nodules based on CT images. The image detection results obtained by using the method can assist doctors in predicting the benign condition of pulmonary nodules. Malignancy and degree of invasion. Background technique [0002] At present, radiologists mostly diagnose CT pulmonary nodules based on the following characteristics, namely size, density, fat content in calcified form, shape, margin, location of lung segment, number of layers in the image, and recent changes. Limited by the subjective differences of doctors' judgment standards and the nonlinear characteristics of these features, it is difficult to use these nodule features or their combination to improve the specificity of CT pulmonary nodule imaging diagnosis with the naked eye. However, pulmonary nodules based on traditional pat...

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Application Information

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IPC IPC(8): G06T7/00G06N3/04G06N3/08G06T7/136G06T7/62
Inventor 杨晶晶
Owner HUA DATA TECH (SHANGHAI) CO LTD
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