Hysteroscope real-time image correction system and hysteroscope

Abstract

The invention discloses a hysteroscope real-time image correction system, which comprises a data acquisition unit, a data transmission unit, a data storage unit, a data analysis unit, a real-time correction unit and a real-time monitoring unit, and is characterized in that the data analysis unit is used for processing and analyzing information data stored in the data storage unit and obtaining a processing and analysis result; meanwhile, a control instruction is issued to a real-time correction unit according to a processing and analysis result. Through integrated data acquisition, transmission, storage and analysis units, real-time monitoring and analysis of key parameters such as image brightness, power, gray scale, focal length and white balance are realized, so that the system can intelligently identify image definition, automatically adjust camera shooting focal length and white balance, and improve image quality. It is ensured that a doctor can obtain a clear and accurate uterine cavity internal image in the operation process, and therefore the accuracy and safety of the operation are improved.

Description

Technical Field

[0001] This invention relates to the field of medical image processing technology, and more specifically discloses a hysteroscopic real-time image correction system and a hysteroscope. Background Technology

[0002] With the rapid development of modern medical technology, hysteroscopy has become a crucial and widely used minimally invasive treatment in gynecology. This technique, utilizing precise hysteroscopic instruments, allows doctors to directly and meticulously examine the inside of the uterine cavity and provide precise treatment interventions. In this process, the real-time image quality provided by the hysteroscope plays a decisive role; it is a cornerstone for ensuring surgical accuracy and reducing operational risks. However, in practical applications, real-time hysteroscopic images are often constrained by various external conditions, including but not limited to the performance limitations of the equipment itself and the environmental conditions within the operating room. These constraints lead to a decline in image quality, specifically manifested as blurred and difficult-to-discern images and visual defects such as loss of detail. Such image quality problems not only seriously hinder doctors' accurate judgment of the patient's condition but may also induce operational errors, thereby increasing the uncertainty of the surgical process, raising surgical risks, and potentially placing additional physical and psychological burdens on the patient. Summary of the Invention

[0003] Purpose of the invention: The purpose of this invention is to solve the problem of poor quality of real-time hysteroscopic images, which are often blurry and difficult to identify.

[0004] To solve the above-mentioned technical problems, according to one aspect of the present invention, more specifically, a hysteroscopic real-time image correction system and a hysteroscope, comprising: a control host, a display panel disposed on the top of the control host, a hysteroscope body disposed at the front end of the control host, and an image correction system built into the control host;

[0005] The image correction system includes: a data acquisition unit, a data transmission unit, a data storage unit, a data analysis unit, a real-time correction unit, and a real-time monitoring unit;

[0006] Data acquisition unit: used to collect information data generated by hysteroscopic equipment during medical examinations in real time;

[0007] Data transmission unit: used for real-time transmission of information data collected by the data acquisition unit;

[0008] Data storage unit: Used to store the information data transmitted in real time by the data transmission unit;

[0009] Data analysis unit: used to process and analyze the information data stored in the data storage unit, obtain the processing and analysis results, and issue control commands to the real-time correction unit based on the processing and analysis results;

[0010] Real-time correction unit: Used to receive correction control command signals from the data analysis unit and perform image correction processing according to the commands;

[0011] Real-time monitoring unit: Used to display the information data acquired by the data acquisition module and the analysis results of the analysis and judgment module in real time on the back-end terminal. At the same time, when the analysis and judgment module obtains an abnormal result, it will send an alarm to the back-end terminal.

[0012] Furthermore, the data acquisition unit includes: a brightness acquisition module, a power acquisition module, a grayscale acquisition module, a focal length acquisition module, and a white balance acquisition module;

[0013] Brightness acquisition module: used to acquire brightness value information data of pixels on hysteroscopic images in real time;

[0014] Power acquisition module: used to acquire signal power and noise power information data in real time from hysteroscopic images;

[0015] Grayscale acquisition module: used to acquire grayscale value information of pixels in hysteroscopic images in real time;

[0016] Focal length acquisition module: used to acquire focal length information data of hysteroscopic imaging in real time;

[0017] White balance acquisition module: used to acquire white balance information data from hysteroscopic imaging in real time.

[0018] Furthermore, the data analysis unit includes: a data acquisition module, an analysis and judgment module, a signal transmission module, and a result forwarding module;

[0019] Data acquisition module: used to acquire information data stored in the data storage unit in real time;

[0020] Analysis and Judgment Module: Used to analyze and judge the information data obtained by the data acquisition module, and thus obtain the analysis and judgment results;

[0021] Signal transmission module: Used to send control command signals to the real-time correction unit when the analysis and judgment results of the analysis and judgment module are abnormal;

[0022] Result forwarding module: Used to forward the results analyzed and judged by the analysis and judgment module to the real-time monitoring unit.

[0023] Furthermore, the real-time correction unit includes: a command receiving module, a focus correction module, and a white balance correction module;

[0024] Command receiving module: Used to receive correction control command signals sent by the signal sending module;

[0025] Focal length correction module: Used to correct the focal length of the real-time hysteroscopic image according to the correction control command signal received by the command receiving module;

[0026] White balance correction module: Used to correct the white balance of real-time hysteroscopic images according to the correction control command signal received by the command receiving module.

[0027] Furthermore, the real-time monitoring unit includes: a data retrieval module, an information display module, and an anomaly alarm module;

[0028] Data retrieval module: Used to retrieve information data obtained by the data acquisition module and analysis results from the analysis and judgment module in real time;

[0029] Information display module: Used to display the information data retrieved by the data retrieval module on the screen of the backend terminal;

[0030] Anomaly Alarm Module: This module sends an alarm to the backend terminal when the analysis and judgment module obtains an abnormal result.

[0031] Furthermore, the analysis and judgment module can obtain the brightness values ​​of pixels in the hysteroscopic image, the signal power, and the noise power information data in the hysteroscopic image from the data acquisition module, and derive the image clarity index through the analysis of the obtained data. If:

[0032]

[0033] This indicates that the real-time hysteroscopic image is clear, where Q is the image clarity index, n is the number of pixels in the image, and light i Let light be the brightness value of the i-th pixel. avg sp is the average brightness value of the image. max To determine the maximum signal power in the image during data acquisition, sp min To find the minimum signal power in the image during data acquisition, np max np represents the maximum noise power in the image during data acquisition. min This represents the minimum noise power in the image during the data acquisition process.

[0034] Furthermore, the analysis and judgment module can obtain the grayscale values ​​of pixels in the hysteroscopic image and the focal length information of the hysteroscopic camera from the data acquisition module, and derive the corrected camera focal length through analysis of the obtained data:

[0035]

[0036] Where F is the corrected camera focal length, n is the number of pixels in the image, and G... i Let G be the grayscale value of the i-th pixel. max G represents the maximum grayscale value in the image during data acquisition. min G is the minimum grayscale value in the image during the data acquisition process. avg denoted as the average grayscale value of the image, f as the original focal length before correction, Q as the image sharpness index, and α as the preset focal length conversion coefficient.

[0037] Furthermore, the analysis and judgment module can obtain the white balance information of the hysteroscopic camera and the brightness value information of the pixels on the hysteroscopic image from the data acquisition module, and derive the corrected white balance value of the image through the analysis of the data obtained above.

[0038]

[0039] Where WB is the white balance value after image correction, t is the total data acquisition time, wb is the white balance value of the image before correction, F is the corrected camera focal length, Q is the image sharpness index, β is the preset white balance conversion coefficient, and light max To determine the maximum brightness value among image pixels during data acquisition, light min This refers to the minimum brightness value among the image pixels during the data acquisition process.

[0040] The beneficial effects of this invention, a real-time image correction system for hysteroscopy and a hysteroscope, are as follows: Through integrated data acquisition, transmission, storage, and analysis units, real-time monitoring and analysis of key parameters such as image brightness, power, grayscale, focal length, and white balance are achieved. This enables the system to intelligently identify image clarity and automatically adjust the camera focal length and white balance, ensuring that doctors can obtain clear and accurate images of the uterine cavity during surgery, thereby improving the precision and safety of the procedure. Furthermore, the real-time monitoring unit allows doctors to view image data and analysis results in real time on a back-end terminal and receive timely alerts when image quality is abnormal, further reducing surgical risks and alleviating the physical burden and psychological stress on patients. Attached Figure Description

[0041] The present invention will now be described in further detail with reference to the accompanying drawings and specific implementation methods.

[0042] Figure 1 This is a schematic diagram of the system principle;

[0043] Figure 2 This is a schematic diagram of a hysteroscopic device.

[0044] Labeling explanation: 1. Display panel; 2. Control host; 3. Hysteroscope body. Detailed Implementation

[0045] The present invention will be described in detail below with reference to the accompanying drawings and embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in the present application can be combined with each other.

[0046] According to one aspect of the invention, such as Figure 1-2 As shown, a hysteroscopic real-time image correction system and a hysteroscope are provided. First, a camera module is set on the main body 3 of the hysteroscope to take real-time pictures of the inside of the patient's uterine cavity. Then, the control host 2 receives and processes the images during the shooting process, and displays the processed image information on the display panel 1, which facilitates the doctor to view the inside of the patient's uterine cavity and diagnose the condition.

[0047] Then, the brightness value, signal power and noise power, gray value, focal length and white balance information of the pixels in the hysteroscopic image are collected in real time through the brightness acquisition module, power acquisition module, gray value acquisition module, focal length acquisition module and white balance acquisition module respectively.

[0048] Then, the collected data is transmitted in real time to the data storage unit through the data transmission unit. Then, the data acquisition module in the data analysis unit obtains information data from the data storage unit. Furthermore, the acquired information data is processed and analyzed by the analysis and judgment module.

[0049] Subsequently, the data retrieval module in the real-time monitoring unit can retrieve the information data obtained by the data acquisition module and the analysis results of the analysis and judgment module in real time, and display the retrieved information data on the back-end terminal screen through the information display module. At the same time, when the analysis and judgment module obtains an abnormal result, the abnormal alarm module will send an alarm prompt to the back-end terminal.

[0050] The analysis and judgment module can obtain the brightness values ​​of pixels, signal power, and noise power information of the hysteroscopic image from the data acquisition module, and derive the image clarity index based on the obtained data. If:

[0051]

[0052] This indicates that the real-time hysteroscopic image is clear. This indicates that if the real-time hysteroscopic image is blurry, it will trigger the abnormal alarm module to send an alarm to the backend terminal. Simultaneously, the focus and white balance values ​​are analyzed, and then the real-time correction unit corrects the real-time hysteroscopic image based on the analysis results. Here, Q is the image sharpness index, n is the number of pixels in the image, and light... i Let light be the brightness value of the i-th pixel. avg sp is the average brightness value of the image. max To determine the maximum signal power in the image during data acquisition, sp min To find the minimum signal power in the image during data acquisition, np max np represents the maximum noise power in the image during data acquisition. min This represents the minimum noise power in the image during the data acquisition process.

[0053] The analysis and judgment module can obtain the grayscale values ​​of pixels in the hysteroscopic image and the focal length information of the hysteroscopic camera from the data acquisition module, and derive the corrected camera focal length through analysis of the obtained data:

[0054]

[0055] The focal length correction module in the real-time correction unit corrects the focal length of the real-time hysteroscopic image based on the obtained corrected camera focal length, where F is the corrected camera focal length, n is the number of pixels in the image, and G... i Let G be the grayscale value of the i-th pixel. max G represents the maximum grayscale value in the image during data acquisition. min G is the minimum grayscale value in the image during the data acquisition process. avg denoted as the average grayscale value of the image, f as the original focal length before correction, Q as the image sharpness index, and α as the preset focal length conversion coefficient.

[0056] The analysis and judgment module can obtain the white balance data of the hysteroscopic camera and the brightness value information of the pixels in the hysteroscopic image from the data acquisition module, and derive the corrected white balance value of the image through the analysis of the data obtained above.

[0057]

[0058] The white balance correction module in the real-time correction unit corrects the white balance of the hysteroscopic real-time image based on the obtained corrected white balance value. Here, WB is the corrected white balance value, t is the total data acquisition time, wb is the white balance value of the image before correction, F is the corrected camera focal length, Q is the image sharpness index, β is the preset white balance conversion coefficient, and light... max To determine the maximum brightness value among image pixels during data acquisition, light min This refers to the minimum brightness value among the image pixels during the data acquisition process.

[0059] The above-described embodiments are merely one implementation of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

Claims

1. A real-time image correction system for hysteroscopy and a hysteroscope, characterized in that, include: The control host (2) has a display panel (1) on its top and a hysteroscope body (3) at its front end. The control host (2) has a built-in image correction system. The image correction system includes: a data acquisition unit, a data transmission unit, a data storage unit, a data analysis unit, a real-time correction unit, and a real-time monitoring unit; Data acquisition unit: used to collect information data generated by hysteroscopic equipment during medical examinations in real time; Data transmission unit: used for real-time transmission of information data collected by the data acquisition unit; Data storage unit: Used to store the information data transmitted in real time by the data transmission unit; Data analysis unit: Used to process and analyze the information data stored in the data storage unit, obtain the processing and analysis results, and issue control commands to the real-time correction unit based on the processing and analysis results; Real-time correction unit: Used to receive correction control command signals from the data analysis unit and perform image correction processing according to the commands; Real-time monitoring unit: Used to display the information data obtained by the data acquisition module and the analysis results of the analysis and judgment module in real time on the back-end terminal. At the same time, when the analysis and judgment module obtains an abnormal result, it will send an alarm to the back-end terminal.

2. The hysteroscopic real-time image correction system and hysteroscope according to claim 1, characterized in that: The data acquisition unit includes: a brightness acquisition module, a power acquisition module, a grayscale acquisition module, a focal length acquisition module, and a white balance acquisition module; Brightness acquisition module: used to acquire brightness value information data of pixels on hysteroscopic images in real time; Power acquisition module: used to acquire signal power and noise power information data in real time from hysteroscopic images; Grayscale acquisition module: used to acquire grayscale value information of pixels in hysteroscopic images in real time; Focal length acquisition module: used to acquire focal length information data of hysteroscopic imaging in real time; White balance acquisition module: used to acquire white balance information data from hysteroscopic imaging in real time.

3. The hysteroscopic real-time image correction system and hysteroscope according to claim 2, characterized in that: The data analysis unit includes: a data acquisition module, an analysis and judgment module, a signal transmission module, and a result forwarding module; Data acquisition module: used to acquire information data stored in the data storage unit in real time; Analysis and Judgment Module: Used to analyze and judge the information data obtained by the data acquisition module, and thus obtain the analysis and judgment results; Signal transmission module: Used to send control command signals to the real-time correction unit when the analysis and judgment results of the analysis and judgment module are abnormal; Result forwarding module: Used to forward the results analyzed and judged by the analysis and judgment module to the real-time monitoring unit.

4. The hysteroscopic real-time image correction system and hysteroscope according to claim 3, characterized in that: The real-time correction unit includes: a command receiving module, a focus correction module, and a white balance correction module; Command receiving module: Used to receive correction control command signals sent by the signal sending module; Focal length correction module: Used to correct the focal length of the real-time hysteroscopic image according to the correction control command signal received by the command receiving module; White balance correction module: Used to correct the white balance of real-time hysteroscopic images according to the correction control command signal received by the command receiving module.

5. The hysteroscopic real-time image correction system and hysteroscope according to claim 4, characterized in that: The real-time monitoring unit includes: a data retrieval module, an information display module, and an anomaly alarm module; Data retrieval module: Used to retrieve information data obtained by the data acquisition module and analysis results from the analysis and judgment module in real time; Information display module: Used to display the information data retrieved by the data retrieval module on the screen of the backend terminal; Anomaly Alarm Module: This module sends an alarm to the backend terminal when the analysis and judgment module obtains an abnormal result.

6. The hysteroscopic real-time image correction system and hysteroscope according to claim 5, characterized in that: The analysis and judgment module can obtain the brightness value of pixels, signal power, and noise power information of the hysteroscopic image from the data acquisition module, and derive the image clarity index through analysis of the acquired data. If: This indicates that the real-time hysteroscopic image is clear, where Q is the image clarity index, n is the number of pixels in the image, and light i Let light be the brightness value of the i-th pixel. avg sp is the average brightness value of the image. max To determine the maximum signal power in the image during data acquisition, sp min To find the minimum signal power in the image during data acquisition, np max np represents the maximum noise power in the image during data acquisition. min This represents the minimum noise power in the image during the data acquisition process.

7. The hysteroscopic real-time image correction system and hysteroscope according to claim 6, characterized in that: The analysis and judgment module can obtain the grayscale values ​​of pixels on the hysteroscopic image and the focal length information of the hysteroscopic camera from the data acquisition module, and derive the corrected camera focal length through analysis of the obtained data: Where F is the corrected camera focal length, n is the number of pixels in the image, and G... i Let G be the grayscale value of the i-th pixel. max G represents the maximum grayscale value in the image during data acquisition. min G is the minimum grayscale value in the image during the data acquisition process. avg denoted as the average grayscale value of the image, f as the original focal length before correction, Q as the image sharpness index, and α as the preset focal length conversion coefficient.

8. The hysteroscopic real-time image correction system and hysteroscope according to claim 7, characterized in that: The analysis and judgment module can obtain the white balance information of the hysteroscopic camera and the brightness value information of the pixels on the hysteroscopic image from the data acquisition module, and analyze the data obtained above to obtain the white balance value after image correction: Where WB is the white balance value after image correction, t is the total data acquisition time, wb is the white balance value of the image before correction, F is the corrected camera focal length, Q is the image sharpness index, β is the preset white balance conversion coefficient, and light max To determine the maximum brightness value among image pixels during data acquisition, light min This refers to the minimum brightness value among the image pixels during the data acquisition process.

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