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Intelligent optimal selection method of medical science X-ray image processing control parameters

An image processing and intelligent optimization technology, applied in the field of image processing, can solve the problems of image quality, affect the final image quality, affect image diagnosis, etc., and achieve the effect of good quality assurance

Active Publication Date: 2017-02-01
ZHEJIANG RADIOLOGY INFORMATION TECH
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  • Claims
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AI Technical Summary

Problems solved by technology

Using inappropriate control parameters to process images will inevitably affect the final image quality
[0005] When the selected control parameters are seriously inapplicable, it will cause imaging quality problems and directly affect subsequent image diagnosis

Method used

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  • Intelligent optimal selection method of medical science X-ray image processing control parameters
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  • Intelligent optimal selection method of medical science X-ray image processing control parameters

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Experimental program
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Embodiment Construction

[0035] The present invention will be further described below in conjunction with embodiment and accompanying drawing.

[0036] 1. Collect and organize X-ray image sample sets, including original images and corresponding control parameters under various inspection conditions

[0037] Collect X-ray image samples. The larger the number of images, the better (at least 500 cases for training and 100 cases for verification), including various image types and imaging conditions as much as possible.

[0038] After the primary preprocessing of the original image, the collected X-ray images are identified, that is, the corresponding optimal control parameters are obtained and recorded as the target parameters for training the neural network. In order to identify X-ray image samples, a tool program can be specifically designed, and the process of the program is as follows: figure 1 .

[0039] For the collected (>600 cases) X-ray images of various types and conditions, this tool program...

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Abstract

The present invention relates to an intelligent optimal selection method of medical science X-ray image processing control parameters. The method comprises: collecting and arranging an X-ray image sample set which includes original images in each inspection condition and the corresponding control parameters; then, building a neural network model with a multi-layer structure, performing training and checking; and finally, through the checking neural network model, combing a CR / DR image processing main program, applying the neural network model to in actual. The intelligent optimal selection method of the medical science X-ray image processing control parameters employs the neural network model method to identify the types of the images and the conditions when the images are taken in, and allows the types of the images and the conditions to contact with the appropriate control parameters so as to provide better quality guarantee for the CR / DR imaging.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an intelligent optimization method for control parameters of medical X-ray image processing. Background technique [0002] Medical X-ray imaging processing is generally divided into two parts: primary image preprocessing and advanced image processing. Among them, the primary preprocessing of the image includes: ① generating small images and ultra-small-scale images reduced by integer multiples; ② generating image grayscale histograms; ③ generating image gradient vector fields and Laplace scalar fields; ④ generating ultra-low pass image and high-pass image; ⑤ Generate object edge map, background area map and collimator occlusion area map, etc. Advanced image processing includes ① mapping the grayscale of the image to a value that is close to logarithm to match the actual perception of the brightness of the X-ray film by the human eye; ② performing appropriate...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/02G06T1/00
CPCG06N3/02G06T1/00G06T2210/41
Inventor 张一荃
Owner ZHEJIANG RADIOLOGY INFORMATION TECH
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