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Self-adaptive window width and window level adjusting method and device, computer system and storage medium

An adjustment method and self-adaptive technology, applied in the field of artificial intelligence, can solve the problems of changing the image structure information, the window width and window level image is difficult to meet the requirements of neural network data processing, and the accuracy of neural network data processing is low, so as to ensure the processing accuracy Effect

Active Publication Date: 2020-09-22
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide an adaptive window width and window level adjustment method, device, computer system and storage medium, which are used to solve the problem that the linear transformation operation of gray level equalization directly using integral transformation will change the image existing in the prior art Structural information makes it difficult for the generated window width and level images to meet the data processing requirements of the neural network, which in turn leads to the low accuracy of the neural network’s data processing of the window width and level; this application can be applied to smart medical scenarios, thereby promoting Smart City Construction

Method used

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  • Self-adaptive window width and window level adjusting method and device, computer system and storage medium
  • Self-adaptive window width and window level adjusting method and device, computer system and storage medium
  • Self-adaptive window width and window level adjusting method and device, computer system and storage medium

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Embodiment 1

[0054] see figure 1 , an adaptive window width and window level adjustment method based on gradient backpropagation in this embodiment, including:

[0055] S1: Receive the image to be adjusted, sequentially extract the gray value of each pixel in the image to be adjusted, and summarize to obtain the input feature vector.

[0056] S2: Calculating the truncation adjustment coefficients of each gray value in the input feature vector through a derivable truncation model and summarizing to form a truncation adjustment vector, and adjusting the input feature vector according to the truncation adjustment vector to generate an output feature vector.

[0057] S3: Send the output feature vector to a preset neural network, and the neural network updates the weight of the derivable truncation model according to the output feature vector, so that it generates an output feature vector conforming to the neural network loss function, And generate a window width and window level image accordi...

Embodiment 2

[0119] see Figure 8 , an adaptive window width and window level adjustment device 1 based on gradient backpropagation in this embodiment, including:

[0120] The grayscale extraction module 11 is used to receive the image to be adjusted, sequentially extract the grayscale value of each pixel in the image to be adjusted and collect and obtain the input feature vector;

[0121] The derivable truncation module 12 is used to calculate the truncation adjustment coefficient of each gray value in the input feature vector through the derivable truncation model and summarize and form a truncation adjustment vector, and adjust the input feature vector according to the truncation adjustment vector to generate an output Feature vector;

[0122] The image generation module 13 is configured to send the output feature vector to a preset neural network, and the neural network performs weight update on the derivable truncation model according to the output feature vector, so that its generat...

Embodiment 3

[0125] In order to achieve the above object, the present invention also provides a computer system, the computer system includes a plurality of computer equipment 2, the components of the adaptive window width and window level adjustment device 1 of the second embodiment can be dispersed in different computer equipment, the computer The device can be a smartphone, a tablet computer, a laptop computer, a desktop computer, a rack server, a blade server, a tower server, or a cabinet server (including a stand-alone server, or a server cluster composed of multiple servers) that executes the program. Wait. The computer equipment in this embodiment at least includes but is not limited to: a memory 21 and a processor 22 that can communicate with each other through a system bus, such as Figure 9 shown. It should be pointed out that, Figure 9 Only a computer device is shown with the components - but it should be understood that implementing all of the illustrated components is not a...

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Abstract

The invention relates to the technical field of artificial intelligence, and discloses a self-adaptive window width and window level adjustment method and device, a computer system and a storage medium, and the method comprises the steps: extracting the gray value of each pixel in a to-be-adjusted image, and collecting the gray values to obtain an input feature vector; calculating a truncation adjustment coefficient of each gray value in the input feature vector through a derivable truncation model, summarizing the truncation adjustment coefficients to form a truncation adjustment vector, andadjusting the input feature vector according to the truncation adjustment vector to generate an output feature vector; and sending the output feature vector to a preset neural network, updating the weight of the derivable truncation model by the neural network according to the output feature vector to generate an output feature vector conforming to a neural network loss function, and generating awindow width and window level image according to the output feature vector. The window width and window level image obtained by the invention not only meets the requirement of a user for adjusting thewindow width and window level, but also meets the requirement of a neural network for processing or classifying the window width and window level.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to an adaptive window width and window level adjustment method, device, computer system and storage medium. Background technique [0002] Window width and window level are commonly used concepts in medical image processing; among them, the window width refers to the CT value range displayed by the CT image, which is an important index for truncating the image, and the width of the window directly affects the clarity and contrast of the image. If a narrow window width is used, the displayed CT value range is small, and the CT value represented by each gray scale has a small range and strong contrast, which is suitable for observing tissue structures with similar densities (such as brain tissue). Conversely, if a wide window width is used, the displayed CT value range is large, and the CT value represented by each gray scale has a large range, so the image cont...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T11/00G06N3/04G06N3/08
CPCG06T11/003G06N3/084G06N3/048G06N3/045Y02T10/40
Inventor 徐尚良张芮溟
Owner PING AN TECH (SHENZHEN) CO LTD
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