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Nidus position and content-based mammary image retrieval system and method

An image retrieval and lesion technology, applied in the field of breast image retrieval system, can solve problems such as low retrieval performance

Active Publication Date: 2016-09-21
NORTHEASTERN UNIV
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Problems solved by technology

Up to now, the retrieval technology has been relatively mature, but there are still defects in the retrieval performance, mainly in the low retrieval performance. The main reason is the amount of information contained in the image and the similarity measurement method, that is, the extracted Content of Useful Information in Image and Method of Similarity Retrieval

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  • Nidus position and content-based mammary image retrieval system and method
  • Nidus position and content-based mammary image retrieval system and method
  • Nidus position and content-based mammary image retrieval system and method

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Embodiment Construction

[0049] The specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0050] A breast image retrieval system based on lesion location and content, such as figure 1 As shown, it includes an image preprocessing unit, an image lesion position similarity measurement unit, an image content similarity measurement unit and an image comprehensive similarity measurer.

[0051] The image preprocessing unit is used to obtain the image F to be retrieved from the mammogram X-ray image 0 , historical image set (F 1 , F 2 ,...,F n ), select the standard image F C , treat the retrieved image F 0 and historical image sets (F 1 , F 2 ,...,F n ) for preprocessing to obtain the preprocessed image set (I 0 ,I 1 ,I 2 ,...,I n ), which includes the preprocessed image to be retrieved I 0 and the preprocessed historical image set (I 1 , I 2 ,...,I n ).

[0052] standard image F C It is a mammogram X-ray image with ...

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Abstract

The invention provides a nidus position and content-based mammary image retrieval system and method. The system comprises an image preprocessing unit, an image nidus position similarity measurement unit, an image content similarity measurement unit and an image comprehensive similarity measurer. The method comprises the steps of obtaining a to-be-retrieved image of an x-ray image of a mammary molybdenum target and a historical image set; selecting a standard image; preprocessing the to-be-retrieved image and the historical image set; performing image nidus position similarity measurement on the preprocessed to-be-retrieved image and the preprocessed historical image set; and performing image content similarity measurement on the preprocessed to-be-retrieved image of the x-ray image of the mammary molybdenum target and the preprocessed historical image set to obtain an image comprehensive similarity image sequence number so as to obtain a retrieval result of the to-be-retrieved image. According to the system and method, a nidus position-based similarity measurement method is added, thereby effectively improving the retrieval performance of the x-ray image of the mammary molybdenum target and further assisting a doctor in diagnosing mammary diseases.

Description

technical field [0001] The invention belongs to the technical field of medical image post-processing, and in particular relates to a breast image retrieval system and method based on lesion location and content. Background technique [0002] At present, breast cancer screening is an important means to achieve early diagnosis and treatment of breast cancer, which can reduce the mortality rate by 30%. Mammography mammography is an important basis for early detection and diagnosis of breast cancer. The different manifestations of lesions in breast images have become the only standard for early diagnosis of breast cancer, but its diagnosis is relatively difficult. Retrieval of breast images can Effectively assist doctors in diagnosis. [0003] Content-based image retrieval technology started in the early 1990s, and now it is used more and more widely in medicine. Among them, it is of great significance in breast image retrieval, which is based on the characteristics of breast i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06F19/00
CPCG06F16/583G06F19/321
Inventor 王之琼李阳徐玲马春晓高小松赵越
Owner NORTHEASTERN UNIV
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