Lung focus statistical attribute collection method and device, electronic equipment and storage medium

An acquisition method and technology of lesions, applied in the field of acquisition of statistical attributes of lung lesions, can solve the problem that manual film reading methods cannot provide rich and accurate statistical attributes of lesions, and achieve accurate and diverse quantitative analysis of lung lesions.
CN111539944APending Publication Date: 2020-08-14讯飞医疗科技股份有限公司
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
讯飞医疗科技股份有限公司
Publication Date
2020-08-14

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Abstract

The embodiment of the invention provides a lung focus statistical attribute obtaining method and device, electronic equipment and a storage medium. The method comprises the steps that a lung area in alung CT image sequence to be analyzed is extracted; determining a plurality of lesion areas in the lung area; and determining the focus statistical attribute of the lung CT image sequence based on the volume of each focus area in each layer of lung CT image of the lung CT image sequence. The embodiment of the invention provides a lung focus statistical attribute collection method and device, electronic equipment and a storage medium. Based on the volume of each lesion area in each layer of lung CT image of the lung CT image sequence, various types of lesion statistical attributes of the lungCT image sequence are determined, and accurate and diversified lung lesion quantitative analysis is realized.
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Description

technical field

[0001] The present invention relates to the technical field of image processing, in particular to a method, device, electronic equipment and storage medium for acquiring statistical attributes of lung lesions. Background technique

[0002] In the clinical diagnosis and treatment of lung diseases, it is usually necessary to obtain the statistical attributes of the lesion in the CT images of the patient's lungs, such as the volume of the lesion, as a basis for auxiliary diagnosis or quantitative evaluation of the treatment effect.

[0003] However, the current manual reading method can only roughly estimate the size of the lesion in the patient's lung CT image, and the accuracy depends entirely on the experience of the radiologist, and cannot give rich and accurate statistical attributes of the lesion, which will affect the follow-up diagnosis Or the accuracy of treatment effect assessment. Contents of the invention

[0004] Embodiments of the present invent...

Claims

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