A texture feature extraction method of hand bone X-ray image for bone age assessment

A technology of texture features and light images, which is applied in the field of intelligent medical image recognition, can solve problems such as the difficulty of effectively extracting texture features, and achieve the effect of improving accuracy

Active Publication Date: 2019-02-01
杭州数智莱达科技有限公司
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AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to solve the problem that texture features are difficult to effectively extract in bone age assessment

Method used

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  • A texture feature extraction method of hand bone X-ray image for bone age assessment
  • A texture feature extraction method of hand bone X-ray image for bone age assessment
  • A texture feature extraction method of hand bone X-ray image for bone age assessment

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Embodiment Construction

[0030] In order to make the technical means and creative features of the present invention easy to understand, the following describes the implementation of the present invention in further detail with reference to the drawings and examples.

[0031] The present invention addresses the problems that in the current bone age assessment method, the texture feature extraction of the hand bone X-ray image is difficult, and only the shape feature and the Gabor feature are not enough to reflect the bone age maturity, etc., a new texture feature extraction method is proposed.

[0032] The following describes the implementation details of the method of the present invention in detail with reference to the accompanying drawings, and the steps are as follows:

[0033] Step 1. Construct the key point coordinate matrix of the hand bone contour

[0034] Collect N X-ray pictures of the left hand bones to be tested. According to the content of the RUS-CHN evaluation standard, 11 short bones, ulna, and...

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Abstract

The invention discloses a hand bone X-ray image texture feature extraction method for bone age evaluation. The invention can obtain texture features corresponding to the contribution degree of the shape features by processing the bones including the radius, the ulna and the short bones. The invention reasonably samples the image texture, obtains the texture features containing rich growth information, and combines the shape features to remarkably improve the accuracy of bone age evaluation.

Description

Technical field [0001] The invention relates to the field of intelligent medical image recognition, in particular to a hand bone X-ray image texture feature extraction method for bone age assessment. Background technique [0002] Bone age is used to measure the degree of physical development of adolescents. At present, the universal bone age evaluation standards in the world, such as TW-2, TW-3, GP method, etc., are used as the basis for professional evaluators to evaluate bone age. They have the characteristics of strong operability, strong reproducibility, and subjective factors. . The standards implemented in China are the "China-05" scoring method and the map method, including the RUS-CHN method. [0003] The current evaluation standards have higher requirements for practitioners, and the degree of knowledge mastery has a great influence on the accuracy of the results. Therefore, the difficulty of computer-aided assessment of bone age is how to extract as many valuable featu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/44G06K9/62
CPCG06T7/44G06T2207/10116G06T2207/30008G06F18/2135
Inventor 江翔何必仕朱大荣陈晖徐哲
Owner 杭州数智莱达科技有限公司
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