Breast ultrasounography image segmentation method and system

A technology of ultrasound images and mammary glands, applied in the medical field, can solve the problem of inaccurate segmentation results and achieve the effect of maintaining accuracy and completeness

Active Publication Date: 2014-07-23
HARBIN MEDICAL UNIVERSITY
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Problems solved by technology

[0007] The present invention provides a breast ultrasound image segmentation method based on neutrosophic set theory and level set curve evolution to overcome the problem of inaccurate segmentation results in the prior art

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  • Breast ultrasounography image segmentation method and system

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Embodiment Construction

[0035] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. 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.

[0036] figure 1 It is a flowchart of a breast ultrasound image segmentation method based on neutrosophic set theory and level set curve evolution according to an embodiment of the present invention. As shown, the method includes the following steps:

[0037] S110, acquiring a breast ultrasound two-dimensional grayscale image;

[0038] S120, using the neutrosophic set theory to perform filtering processing on the breast ultrasound two-dimensional gray-scale i...

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Abstract

The invention discloses a breast ultrasounography image segmentation method and system based on the neutrosophy set theory and level set curve evolution. The method comprises the steps that a breast ultrasounography two-dimensional gray level image is obtained; filtering processing is carried out on the breast ultrasounography two-dimensional gray level image based on the neutrosophy set theory, and the noise effect is removed; fuzzy clustering is carried out on the filtered image in a neutrosophy theory set, and a breast lump candidate area is segmented from the image; the boundary of the breast lump candidate area is used as an initial curve of a level set, and the level set curve evolution is carried out; the internal area of a curve evolution result is used as a suspected breast lump area, the area is assigned to be white, other areas are assigned to be black, and a black and white binary image is used as an output image. The noise effect can be removed from a segmentation result, and accuracy and completeness of lump shapes are kept.

Description

technical field [0001] The invention relates to the medical field, in particular to a breast ultrasound image segmentation method based on neutrosophic set theory and level set curve evolution. Background technique [0002] Breast cancer is a clinical frequently-occurring disease and a common disease, and its incidence rate accounts for the second place among female malignant tumors, and it has an increasing trend year by year. The late mortality rate is relatively high, which seriously endangers the health of women. In recent years, male breast cancer cases have also been reported from time to time. Since the prognosis of breast cancer is closely related to the timing of diagnosis of the disease, early diagnosis and early treatment can significantly improve the quality of life of patients and increase the long-term survival rate. Computer-aided diagnosis technology can effectively help doctors find early breast lumps, reduce false positives, and provide doctors with effect...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 田家玮郭延辉姜双全刘宇杰王影
Owner HARBIN MEDICAL UNIVERSITY
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