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Method and system for segmenting fibula head and tibia head in DR (Digital Radiography) knee-joint normal position sheet in quality control

A technology of knee joint and front view film, which is applied in the field of DR image recognition, can solve the time-consuming and labor-intensive problems of manual identification, and achieve the effect of saving time and improving work efficiency

Pending Publication Date: 2022-03-01
辽宁医信科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional use of manual identification is time-consuming and laborious. With the rapid growth of image data volume, it is no longer possible to continue to use manual methods.

Method used

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  • Method and system for segmenting fibula head and tibia head in DR (Digital Radiography) knee-joint normal position sheet in quality control
  • Method and system for segmenting fibula head and tibia head in DR (Digital Radiography) knee-joint normal position sheet in quality control
  • Method and system for segmenting fibula head and tibia head in DR (Digital Radiography) knee-joint normal position sheet in quality control

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0060] First, refer to figure 1 The processing device 100 for implementing the embodiments of the present invention will be described, and the processing device can be used to run the methods of the various embodiments of the present invention.

[0061] Such as figure 1 As shown, the processing device 100 includes one or more processors 102, one or more memories 104, an input device 106, an output device 108, and a data collector 110, and these components are connected through a bus system 112 and / or other forms ( not shown) interconnection. It should be noted that figure 1 The components and structure of the processing device 100 shown are only exemplary, not limiting, and the processing device may also have other components and structures as required.

[0062] The processor 102 may be implemented in at least one hardware form of a digital signal processor (DSP), a field programmable gate array (FPGA), a programmable logic array (PLA) and an ASIC (Application Specific Inte...

Embodiment 2

[0069] see figure 2 The shown method for segmenting fibular head and tibial head in DR knee joint anteroposterior film in quality control is applied to a mobile terminal, and the method can be executed by the processing device provided in the foregoing embodiment, and the method specifically includes the following steps:

[0070] S110. Acquire at least one DR knee joint image, and preprocess the DR knee joint image by thresholding;

[0071] Specifically, in order to be compatible with various shooting ranges and DR knee joint images of various manufacturers, preprocessing is performed here. If the range is large, the image including both legs is segmented to obtain a single knee joint image.

[0072] S120. Using the fuzzy C-means clustering method to segment the fibula and tibia in the preprocessed DR knee joint image;

[0073] It should be noted that the fibula and tibia were segmented using the fuzzy C-means clustering method (FCM). Because the fibula and tibia overlap at...

Embodiment 3

[0110] For the method for dividing the fibular head and tibial head in the DR knee joint anteroposterior film in quality control provided in Example 2, the embodiment of the present invention provides a device for dividing the fibula and tibial head in the DR knee joint anterior view film in quality control, Applied to mobile terminals, including:

[0111] A preprocessing module, which acquires at least one DR knee joint image, and preprocesses the DR knee joint image by thresholding;

[0112] Segmentation module, using the fuzzy C-means clustering method to segment fibula and tibia in the DR knee joint image after preprocessing;

[0113] The overlap acquisition module determines the edge of the overlapping part of the fibula and the tibia through edge detection;

[0114] a lateral edge acquiring module, configured to acquire the outer edge of the fibula;

[0115] The judging module judges whether the overlapping amount meets the standard according to the edges on both sides...

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Abstract

The invention discloses a method and a system for segmenting a fibula head and a tibia head in a DR (Digital Radiography) knee-joint anterior position film in quality control, and relates to the technical field of DR image recognition. The method comprises the steps that at least one DR knee joint image is acquired, and the DR knee joint image is preprocessed in a threshold value mode; segmenting a fibula and a tibia in the preprocessed DR knee joint image by using a fuzzy C-means clustering method; determining the edge of the overlapped part of the fibula and the tibia through edge detection; obtaining the outer side edge of the fibula; according to the edges of the two sides of the fibula and the edges of the bone tissue of the overlapped part, whether the overlapping amount meets the standard or not is judged. According to the method, manual operation is not needed, the fibula and the tibia are completely and automatically segmented, and whether positioning meets the requirement or not is judged according to the overlapping amount of the fibula and the tibia subsequently. In the whole process, the time for judging whether the image is a DR knee joint normal position film or not is greatly saved, and the image quality control evaluation work efficiency is obviously improved.

Description

technical field [0001] The invention relates to the technical field of DR image recognition, in particular to a method and system for segmenting fibular and tibial heads in DR knee joint anteroposterior films in quality control. Background technique [0002] At present, with the continuous development of my country's medical industry, various inspection and treatment equipment are also constantly improving. In various clinical disciplines, imaging technology occupies an important position in diagnostic examinations, and the quality of imaging directly affects diagnostic examinations. The accuracy of the results will affect the accuracy of the treatment measures. Therefore, doing a good job in image quality control is one of the key clinical tasks of each hospital. In addition, the rapid development of regional images and cloud images this year has increased the requirements for image quality. Due to the huge number of images, manual quality control is time-consuming and labor...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/13G06K9/62G06V10/762G06V10/764A61B6/00
CPCG06T7/0012G06T7/13A61B6/54G06T2207/30008G06F18/23G06F18/24
Inventor 王凤玲李志涛
Owner 辽宁医信科技有限公司