A multi-dimension and multi-feature extraction method for medical images

A feature extraction and image technology, applied in the field of medical image information processing, can solve the problems of inability to fully and objectively reflect image characteristics, low classification accuracy, poor classification effect, etc. Effect

Active Publication Date: 2016-08-31
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

[0005] To sum up, previous studies mostly start from a single dimension or only extract a certain type of image features, which cannot fully and objectively reflect the characteristics of the image.
Therefore, the classification accuracy is low, the classification effect is poor, and the practicability is not strong

Method used

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  • A multi-dimension and multi-feature extraction method for medical images
  • A multi-dimension and multi-feature extraction method for medical images
  • A multi-dimension and multi-feature extraction method for medical images

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Embodiment Construction

[0049] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0050] For the sake of brevity, the following abbreviations are agreed upon:

[0051] P(i,j): The gray value of the image at position (i,j), where i represents the row and j represents the column.

[0052] W: the width of the image,

[0053] r i : the i-th gray level,

[0054] N G : number of distinguishable gray levels,

[0055] N R : the number of run lengths,

[0056] T R : total number of image pixels,

[0057] f(r i ): the frequency of image grayscale appearing on each grayscale level,

[0058] M: gray mean value.

[0059] The steps of the feature extraction method of the present i...

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Abstract

The invention provides an extraction method of multiple multi-dimensional features of carotid artery images. The method particularly includes the steps that two-dimensional sequence images and three-dimensional images in an area of interest are built according to medical three-dimensional ultrasound volume data of the carotid artery; two-dimensional features of the two-dimensional sequence images are extracted, and three-dimensional features of the three-dimensional images are extracted, wherein the two-dimensional features comprise two-dimensional texture features, two-dimensional shape features and two-dimensional elastic features, and the three-dimensional features comprise three-dimensional texture features; whether the features make contributions to image classification or not is verified, and the features which make contributions to image classification are reserved; the objective is to achieve a minimum false discovery rate, and the features which make contributions to image classification are looked up to acquire a global optimal feature combination. The multiple multi-dimensional features, including textures, shapes and elasticity, of the images are extracted, the number of the features is multiple, the types of the features are complete, image characteristics can be completely, objectively and accurately reflected, classification accuracy is improved, and an important reference basis is provided for clinical application.

Description

technical field [0001] The invention belongs to the field of medical image information processing, and in particular relates to a method for extracting multidimensional and various features of medical images. Background technique [0002] Image feature extraction is becoming one of the research hotspots in the field of computer-aided diagnosis, which is of great significance. For example, in carotid atherosclerosis, feature extraction is helpful for the automatic identification of vulnerable plaques, which has an effective auxiliary effect on doctors' clinical diagnosis. Atherosclerotic plaque rupture triggers thrombus, which is very likely to lead to acute cardiovascular events. However, not all plaques rupture and form a thrombus; whether a plaque ruptures depends on its vulnerability. Vulnerable plaque refers to plaque that is easily damaged, forms a thrombus, and may develop rapidly to cause coronary artery blockage and death. Therefore, identifying vulnerable plaques...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
Inventor 丁明跃杨鑫肖峰吴有为王犀点邝丽萍唐天汉
Owner HUAZHONG UNIV OF SCI & TECH
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