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A Texture Feature Extraction Method of Hand Bone X-ray Image for Bone Age Assessment

A texture feature, light image technology, applied in the field of intelligent medical image recognition, can solve the problem of difficult to effectively extract texture features, and achieve the effect of improving accuracy

Active Publication Date: 2021-10-29
杭州数智莱达科技有限公司
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  • Abstract
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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 realized by the present invention easy to understand, the embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings and examples.

[0031] The present invention proposes a new texture feature extraction method for the current bone age assessment method, which is difficult to extract texture features from hand bone X-ray images, and only relying on shape features and Gabor features is not enough to reflect bone age maturity.

[0032] Below in conjunction with accompanying drawing, set forth in detail the implementation details of the inventive method, the steps are as follows:

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

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

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Abstract

The invention discloses a hand bone X-ray image texture feature extraction method for bone age assessment. The present invention processes bones including radius, ulna, and short bones, and can obtain texture features equivalent to the contribution of shape features. The invention reasonably samples the image texture, obtains texture features containing rich growth information, and can significantly improve the accuracy of bone age assessment in combination with shape features.

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 growth in adolescents. At present, the bone age assessment standards commonly used in the world, such as TW-2, TW-3, G-P method, etc., as the basis for professional evaluators to evaluate bone age, have strong operability, strong repeatability, and are greatly affected by subjective factors. . The standards implemented in China are the "Zhonghua-05" scoring method and map method, including the RUS-CHN method. [0003] The current evaluation standards have higher requirements for practitioners, and the degree of mastery of knowledge has a great influence on the accuracy of results. Therefore, the difficulty of computer-aided bone age assessment lies in how to extract as many valuable features as p...

Claims

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Application Information

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Patent Type & Authority Patents(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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