A semi-automatic segmentation method for sketching a regional growth lung tumor radiotherapy target region

A technology for regional growth and lung tumors, applied in image analysis, image data processing, instruments, etc., can solve the problems of low segmentation accuracy and reliability, large impact, and qualitative changes brought about by clinical application, and achieve high efficiency and the effect of accurate lung lesion segmentation

Pending Publication Date: 2019-05-17
SHANDONG RES INST OF TUMOUR PREVENTION TREATMENT
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Problems solved by technology

Moreover, the influence of inherent noise in CT images can also be significant
All these facts make accurate delineation of lung lesions very challenging to automate
Moreover, the segment

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  • A semi-automatic segmentation method for sketching a regional growth lung tumor radiotherapy target region
  • A semi-automatic segmentation method for sketching a regional growth lung tumor radiotherapy target region
  • A semi-automatic segmentation method for sketching a regional growth lung tumor radiotherapy target region

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Embodiment Construction

[0040] Embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but should not be used to limit the scope of the present invention.

[0041] In the description of the present invention, unless otherwise stated, the meaning of "plurality" is two or more; the terms "upper", "lower", "left", "right", "inner", "outer" , "Top", "Bottom", "Front", "Back", "Head", "Tail" and other indicated orientations or positional relationships are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplified descriptions, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation, and thus should not be construed as limiting the invention. In additio...

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Abstract

The invention provides a semi-automatic segmentation method for sketching a regional growth lung tumor radiotherapy target region, and the method specifically comprises the following steps of S1, lesion automatic initial seed point selection characterized by obtaining lesion seed points from a lung parenchyma gradient image containing lesion through the step, and obtaining a lung parenchyma CT image gradient minimum value through calculation; and S2, final lesion position refinement characterized by carrying out the refinement of the final lesion position by determining a more accurate lesionboundary definition. By using the method provided by the invention, the steady, efficient and accurate lung lesion segmentation can be automatically realized.

Description

technical field [0001] The invention relates to the technical field of medical equipment, in particular to a semi-automatic segmentation method for delineating a region-growing lung tumor radiotherapy target area. Background technique [0002] Most lung tumors originate from the bronchial mucosal epithelium, so it is also called bronchial lung cancer. In the past 50 years, the incidence of lung cancer has increased significantly all over the world. According to statistics, in some countries in Europe and the United States and in large cities in my country, the incidence of lung cancer has ranked first among all male tumors. [0003] According to the report of the World Health Organization, as many as 10 million patients worldwide will die of lung cancer by 2030. Early prevention of lung tumors plays an important role in improving survival benefits. Accurate segmentation of lung lesions by computed tomography (CT) scanning is of great significance to lung cancer research an...

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/187G06T7/62
Inventor 孙殿珉张跃忠成金玲
Owner SHANDONG RES INST OF TUMOUR PREVENTION TREATMENT
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