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CN-122002141-A - Smoke removing system, smoke removing method and endoscope system

CN122002141ACN 122002141 ACN122002141 ACN 122002141ACN-122002141-A

Abstract

The embodiment of the application discloses a smoke removing system, a smoke removing method and an endoscope system, wherein the smoke removing system detects an endoscope image to obtain multi-mode information related to smoke, the multi-mode information comprises smoke removing control parameters, smoke image parameters and image post-processing parameters, a central control module can control physical smoke removing equipment to physically remove smoke according to the smoke removing control parameters, and can control the image smoke removing module to digitally remove smoke from the endoscope image according to the smoke image parameters to obtain a smoke removing image and optimize the smoke removing image according to the image post-processing parameters so as to obtain a target endoscope image after smoke removal. Based on the above, the smoke removing system provided by the embodiment of the application can be used for physically removing smoke and digitally removing smoke, and the smoke removing is carried out on the endoscope image through the combination of the physical smoke removing and the digital smoke removing, so that the smoke in the endoscope image can be effectively removed.

Inventors

  • LI HUICHUAN
  • WU XIAOHUA
  • LIU JINGWEN
  • LI YANG

Assignees

  • 武汉迈瑞科技有限公司
  • 深圳迈瑞生物医疗电子股份有限公司

Dates

Publication Date
20260508
Application Date
20241029

Claims (20)

  1. 1. A smoke abatement system comprising: the acquisition module is used for acquiring an endoscope image obtained by shooting a target object by the endoscope; the central control module is used for detecting and processing the endoscope image to obtain multi-mode information, wherein the multi-mode information comprises smoke removal control parameters, smoke image parameters and image post-processing parameters; the physical smoke removing device is used for performing physical smoke removing treatment on the target object; the image smoke removing module is used for carrying out digital smoke removing on the endoscope image; The image optimization module is used for carrying out optimization treatment on the smoke removal image obtained after digital smoke removal; The central control module is further used for controlling the physical smoke removing device to physically remove smoke according to the smoke removing control parameters, controlling the image smoke removing module to digitally remove smoke from the endoscope image according to the smoke image parameters and obtaining a smoke removing image, and further performing optimization processing on the smoke removing image according to the image post-processing parameters to obtain a target endoscope image and controlling a display to display the target endoscope image.
  2. 2. The smoke removal system of claim 1, wherein said central control module comprises a multi-modal analysis model, said central control module further configured to input said endoscopic image to said multi-modal analysis model for detection processing to obtain said multi-modal information.
  3. 3. The smoke removal system of claim 1, wherein said central control module is configured to perform a detection process on said endoscopic image, comprising: The central control module is used for carrying out smoke characteristic analysis on the endoscope image and determining the smoke removal control parameters; the central control module is also used for carrying out smoke image analysis on the endoscope image and determining the smoke image parameters; The central control module is also used for carrying out image parameter analysis on the endoscope image and determining the image post-processing parameters.
  4. 4. A smoke removal system as defined in claim 3 wherein said performing a smoke signature analysis on said endoscopic image to determine said smoke removal control parameters comprises: Performing image feature analysis on the endoscope image by adopting a smoke analysis algorithm to obtain the smoke removal control parameter, or inputting the endoscope image into a smoke feature analysis model to perform recognition processing to obtain the smoke removal control parameter; The performing smoke image analysis on the endoscope image to determine the smoke image parameters includes: Performing image analysis on the endoscope image by adopting a smoke image recognition algorithm to obtain the smoke image parameters, or inputting the endoscope image into a smoke image recognition model to perform recognition processing to obtain the smoke image parameters; The image parameter analysis is performed on the endoscope image, and the image post-processing parameter is determined, which comprises the following steps: And carrying out image parameter analysis on the endoscope image by adopting an image parameter analysis algorithm to obtain the image post-processing parameters, or inputting the endoscope image into an image parameter analysis model to carry out recognition processing to obtain the image post-processing parameters.
  5. 5. The smoke removal system of any one of claims 1-4 wherein said smoke removal control parameters comprise at least one of: Smoke shielding information representing whether or not smoke shielding exists; smoke concentration information characterizing a smoke concentration; switch control information for controlling the switch of the smoke removing device; power control information for controlling a smoke removal power of the smoke removal device.
  6. 6. The smoke removal system of any one of claims 1 to 4 wherein said smoke image parameters comprise at least one of: Distribution information of smoke in the endoscope image, wherein the distribution information at least comprises position information or concentration information, or/and Dark channel features in the endoscopic image.
  7. 7. The smoke removal system of any one of claims 1-4, wherein said smoke image parameters comprise dark channel characteristics, said central control module controlling said image smoke removal module to digitally smoke said endoscopic image and obtain a smoke removal image in accordance with said smoke image parameters, comprising: The dark channel features include atmospheric brightness values and/or transmittance of the endoscopic image; and the image smoke removal module is used for processing the endoscope image according to the dark channel characteristics to obtain the smoke removal image.
  8. 8. The smoke removal system of any one of claims 1-4, wherein said image smoke removal module comprises a smoke removal model, said central control module controlling said image smoke removal module to digitally smoke the endoscopic image and obtain a smoke removal image based on said smoke image parameters, comprising: And the central control module inputs the endoscope image and the smoke image parameters into a smoke removal model for smoke removal treatment to obtain the smoke removal image.
  9. 9. A smoke abatement system according to any one of claims 1 to 4, wherein said image post-processing parameters comprise at least one of: A brightness adjustment parameter; Contrast adjustment parameters; Sharpness adjustment parameters; color adjustment parameters; A saturation adjustment parameter; A tone adjustment parameter; regional local enhancement parameters; Denoising adjustment parameters.
  10. 10. The smoke removal system of claim 1, wherein said multimodal information further comprises endoscope device control parameters including at least one of: endoscope light source device control parameters; And controlling parameters by the endoscope camera.
  11. 11. The smoke removal system of claim 10, wherein said central control module is further configured to control an endoscopic device in accordance with said endoscopic device control parameters to optimize said endoscopic image captured by said endoscope.
  12. 12. The smoke removal system as defined in any one of claims 1 to 4, further comprising a pre-image processing module and a post-image processing module, wherein the central control module is further configured to control the pre-image processing module to perform pre-image processing on the endoscope image obtained by the acquisition module, the central control module is configured to perform detection processing on the endoscope image subjected to the pre-image processing to obtain multi-modal information, and the central control module is further configured to control the image optimization module to perform optimization processing on the smoke removal image according to the image post-processing parameters, and then perform post-image processing on the image to obtain the target endoscope image.
  13. 13. A smoke abatement method, comprising: acquiring an endoscope image shot by an endoscope; detecting the endoscope image to obtain smoke image parameters and image post-processing parameters; Digital smoke removal is carried out on the endoscope image according to the smoke image parameters, and a smoke removal image is obtained; optimizing the smoke removal image according to the image post-processing parameters to obtain a target endoscope image; and controlling a display to display the target endoscope image.
  14. 14. The smoke removal method of claim 13, wherein said detecting said endoscopic image to obtain smoke image parameters and image post-processing parameters comprises: inputting the endoscope image into a multi-modal analysis model for detection processing to obtain the smoke image parameters and the image post-processing parameters.
  15. 15. The smoke removal method of claim 13, wherein said detecting said endoscopic image to obtain smoke image parameters and image post-processing parameters comprises: Performing smoke image analysis on the endoscope image to determine the smoke image parameters; and carrying out image parameter analysis on the endoscope image to determine the image post-processing parameters.
  16. 16. The smoke removal method of claim 15, wherein said performing a smoke image analysis of said endoscopic image to determine said smoke image parameters comprises one of: performing image analysis on the endoscope image by adopting a smoke image recognition algorithm to obtain smoke image parameters; or inputting the endoscope image into a smoke image recognition model for recognition processing to obtain the smoke image parameters.
  17. 17. A smoke removal method as claimed in any one of claims 13 to 16 wherein said smoke image parameters include at least one of: Distribution information of smoke in the endoscope image, wherein the distribution information at least comprises position information or concentration information; dark channel features in the endoscopic image.
  18. 18. The smoke removal method of claim 15, wherein said performing an image parameter analysis on said endoscopic image to determine said image post-processing parameters comprises one of: Performing image parameter analysis on the endoscope image by adopting an image parameter analysis algorithm to obtain the image post-processing parameters; Or inputting the endoscope image into an image parameter analysis model for identification processing to obtain the image post-processing parameters.
  19. 19. A smoke abatement method as claimed in any one of claims 13 to 15, 18, wherein said image post-processing parameters comprise at least one of: A brightness adjustment parameter; Contrast adjustment parameters; Sharpness adjustment parameters; color adjustment parameters; A saturation adjustment parameter; A tone adjustment parameter; regional local enhancement parameters; Denoising adjustment parameters.
  20. 20. The smoke removal method of claim 13, further comprising: Detecting the endoscope image to obtain control parameters of the endoscope equipment; controlling an endoscope device according to the endoscope device control parameters to optimize the endoscope image shot by the endoscope; Wherein the endoscope apparatus control parameters include at least one of: endoscope light source device control parameters; And controlling parameters by the endoscope camera.

Description

Smoke removing system, smoke removing method and endoscope system Technical Field The application relates to the technical field of medical equipment, in particular to a smoke removing system, a smoke removing method and an endoscope system. Background In minimally invasive surgery, a medical endoscope is an indispensable tool, and in the process of surgery, operations such as cutting, stripping, coagulation and the like on human tissues all need participation of energy instruments, and a large amount of smoke is generated in a body cavity in the process, so that observation of the endoscope is affected. Conventional solutions are to empty the pneumoperitoneum when the smoke during the procedure is too strong to affect normal surgery, but this increases the risk of surgery or reduces the efficiency of the surgery. In this way, at present, physical smoke removal is performed through the pneumoperitoneum machine, when smoke removal is needed, medical staff can control the pneumoperitoneum machine to exhaust smoke through pedals so as to realize smoke removal, and the method can discharge smoke according to medical requirements, so that the workload of the medical staff is increased, and the operation difficulty of an operation is increased. In order to avoid increasing the operations of the medical staff. There is also automatic digital smoke removal by image processing method, so that no doctor is required to perform manual operation, however, the current digital smoke removal effect is not ideal, on one hand, smoke cannot be effectively removed when smoke concentration is high, and on the other hand, the image after digital smoke removal often has larger phase difference with the actual operation field of view, and the observation and judgment of doctor are affected. Disclosure of Invention The following is a summary of the subject matter described in detail herein. This summary is not intended to limit the scope of the claims. The embodiment of the application provides a smoke removing system, a smoke removing method and an endoscope system, which can effectively remove smoke in an endoscope image. In a first aspect, embodiments of the present application provide a smoke abatement system comprising: the acquisition module is used for acquiring an endoscope image obtained by shooting a target object by the endoscope; The central control module is used for detecting and processing the endoscope image to obtain multi-mode information, wherein the multi-mode information comprises smoke removal control parameters, smoke image parameters and image post-processing parameters; the physical smoke removing device is used for performing physical smoke removing treatment on the target object; the image smoke removing module is used for carrying out digital smoke removing on the endoscope image; the image optimization module is used for carrying out optimization processing on the smoke removal image obtained after digital smoke removal; The central control module is also used for controlling the physical smoke removing equipment to remove the physical smoke according to the smoke removing control parameters, controlling the image smoke removing module to remove the digital smoke from the endoscope image according to the smoke image parameters and obtaining the smoke removing image, controlling the image optimizing module to optimize the smoke removing image according to the image post-processing parameters, obtaining a target endoscope image and controlling a display to display the target endoscope image. In one embodiment of the present application, the central control module includes a multi-modal analysis model, and the central control module is further configured to input the endoscopic image to the multi-modal analysis model for detection processing, so as to obtain the multi-modal information. In one embodiment of the present application, the central control module is configured to perform detection processing on the endoscope image, and includes: The central control module is used for carrying out smoke characteristic analysis on the endoscope image and determining the smoke removal control parameters; the central control module is also used for carrying out smoke image analysis on the endoscope image and determining the smoke image parameters; The central control module is also used for carrying out image parameter analysis on the endoscope image and determining the image post-processing parameters. In one embodiment of the present application, the performing smoke feature analysis on the endoscope image to determine the smoke removal control parameter includes: Performing image feature analysis on the endoscope image by adopting a smoke analysis algorithm to obtain the smoke removal control parameter, or inputting the endoscope image into a smoke feature analysis model to perform recognition processing to obtain the smoke removal control parameter; The performing smoke image analysis on the endoscope image to