Bladder irrigation quality control method and system based on dynamic monitoring

Abstract

The invention discloses a bladder irrigation quality management and control method and system based on dynamic monitoring, and relates to the technical field of bladder irrigation quality management and control methods, a plurality of corresponding irrigation parameters are marked for each bladder irrigation area, and in each bladder irrigation area, a plurality of irrigation parameters are marked; the sub-irrigation quality of the bladder irrigation area is determined based on the plurality of irrigation parameters and the post-irrigation image of the bladder irrigation area, and the sub-irrigation quality of each bladder irrigation area is ensured. Therefore, a bladder irrigation mass profile of the patient is determined based on the relative distance of the plurality of sub-irrigation masses and the plurality of bladder irrigation regions, and the overall bladder irrigation mass is determined from the identification of the bladder irrigation mass profile; if the overall bladder irrigation quality is lower than the preset bladder irrigation quality threshold value, a bladder irrigation compensation event is triggered based on the bladder irrigation quality distribution diagram, the accuracy of the overall bladder irrigation quality is guaranteed, the bladder irrigation compensation event is triggered, and bladder irrigation quality control is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of quality control methods for bladder irrigation, and particularly to a quality control method and system for bladder irrigation based on dynamic monitoring. Background Art

[0002] With the development of technology, patients need to undergo bladder irrigation during the postoperative stage. The bladder is internally irrigated using a bladder irrigation head. In the prior art, the bladder irrigation head irrigates the bladder and performs preliminary irrigation according to a preset time. The quality control of bladder irrigation is only based on the dimension of irrigation time, without considering the differences in the irrigation quality of multiple bladder irrigation areas, resulting in a low accuracy of the overall bladder irrigation quality. Summary of the Invention

[0003] The purpose of the present invention is to overcome the deficiencies of the prior art. The present invention provides a quality control method and system for bladder irrigation based on dynamic monitoring.

[0004] An embodiment of the present invention provides a quality control method for bladder irrigation based on dynamic monitoring, including: dynamically detecting the bladder irrigation process of a patient and collecting multiple bladder irrigation images of the patient at different time nodes; determining multiple bladder irrigation areas based on the comparison of the multiple bladder irrigation images, and marking corresponding multiple irrigation parameters for each bladder irrigation area. The irrigation parameters include time parameters, irrigation modes, and irrigation intensities; in each bladder irrigation area, determining the sub-irrigation quality of the bladder irrigation area based on the multiple irrigation parameters and the post-irrigation image of the bladder irrigation area; determining the bladder irrigation quality distribution map of the patient based on the multiple sub-irrigation qualities and the relative distances of the multiple bladder irrigation areas, and determining the overall bladder irrigation quality based on the recognition of the bladder irrigation quality distribution map; if the overall bladder irrigation quality is lower than a preset bladder irrigation quality threshold, triggering a bladder irrigation compensation event based on the bladder irrigation quality distribution map.

[0005] An embodiment of the present invention provides a quality control system for bladder irrigation based on dynamic monitoring. The quality control system for bladder irrigation based on dynamic monitoring is applied to the above-mentioned quality control method for bladder irrigation based on dynamic monitoring. The quality control system for bladder irrigation based on dynamic monitoring includes: A bladder irrigation image module for dynamically detecting the bladder irrigation process of a patient and collecting multiple bladder irrigation images of the patient at different time nodes; An irrigation parameter module for determining multiple bladder irrigation areas based on the comparison of the multiple bladder irrigation images, and marking corresponding multiple irrigation parameters for each bladder irrigation area. The irrigation parameters include time parameters, irrigation modes, and irrigation intensities; A sub - irrigation quality module, which is used to determine the sub - irrigation quality of each bladder irrigation area based on multiple irrigation parameters and the post - irrigation image of the bladder irrigation area; An overall bladder irrigation quality module, which is used to determine the bladder irrigation quality distribution map of the patient based on multiple sub - irrigation qualities and the relative distances of multiple bladder irrigation areas, and determine the overall bladder irrigation quality according to the recognition of the bladder irrigation quality distribution map; A bladder irrigation compensation event module, which is used to trigger a bladder irrigation compensation event based on the bladder irrigation quality distribution map if the overall bladder irrigation quality is lower than a preset bladder irrigation quality threshold.

[0006] Compared with the prior art, the beneficial effects of the present invention are: In the embodiment of the present invention, by using the method in the embodiment of the present invention, multiple corresponding irrigation parameters are marked for each bladder irrigation area, and the irrigation parameters include time parameters, irrigation modes, and irrigation intensities; in each bladder irrigation area, the sub - irrigation quality of the bladder irrigation area is determined based on multiple irrigation parameters and the post - irrigation image of the bladder irrigation area, introducing quality control for each bladder irrigation area, thereby ensuring the sub - irrigation quality of each bladder irrigation area and facilitating subsequent control of the overall bladder irrigation quality.

[0007] Therefore, the bladder irrigation quality distribution map of the patient is determined based on multiple sub - irrigation qualities and the relative distances of multiple bladder irrigation areas, and the overall bladder irrigation quality is determined according to the recognition of the bladder irrigation quality distribution map; if the overall bladder irrigation quality is lower than a preset bladder irrigation quality threshold, a bladder irrigation compensation event is triggered based on the bladder irrigation quality distribution map, introducing the bladder irrigation quality distribution map, ensuring the accuracy of the overall bladder irrigation quality, and triggering the bladder irrigation compensation event, realizing the control of bladder irrigation quality. Description of the Drawings

[0008] Figure 1 is a schematic flowchart of the method for controlling bladder irrigation quality based on dynamic monitoring in the embodiment of the present invention; Figure 2 is a schematic flowchart of step S11 in the method for controlling bladder irrigation quality based on dynamic monitoring in the embodiment of the present invention; Figure 3 is a schematic flowchart of step S12 in the method for controlling bladder irrigation quality based on dynamic monitoring in the embodiment of the present invention; Figure 4 is a schematic flowchart of step S13 in the method for controlling bladder irrigation quality based on dynamic monitoring in the embodiment of the present invention; Figure 5 is a schematic flowchart of step S14 in the method for controlling bladder irrigation quality based on dynamic monitoring in the embodiment of the present invention; Figure 6 It is a schematic flow chart of step S15 in the bladder irrigation quality control method based on dynamic monitoring in the embodiment of the present invention; Figure 7 It is a schematic diagram of the structural composition of the bladder irrigation quality control system based on dynamic monitoring in the embodiment of the present invention. Detailed implementation manners

[0009] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention.

[0010] Please refer to Figures 1 to 7 , a bladder irrigation quality control method based on dynamic monitoring includes: Step S11: Dynamically detect the bladder irrigation process of a patient, and collect multiple bladder irrigation images of the patient at different time nodes; Step S12: Determine multiple bladder irrigation areas based on the comparison of multiple bladder irrigation images, and mark corresponding multiple irrigation parameters for each bladder irrigation area. The irrigation parameters include time parameters, irrigation modes, and irrigation intensities; Step S13: In each bladder irrigation area, determine the sub-irrigation quality of the bladder irrigation area based on multiple irrigation parameters and the post-irrigation image of the bladder irrigation area; Step S14: Determine the bladder irrigation quality distribution map of the patient based on the multiple sub-irrigation qualities and the relative distances of multiple bladder irrigation areas, and determine the overall bladder irrigation quality according to the recognition of the bladder irrigation quality distribution map; Step S15: If the overall bladder irrigation quality is lower than the preset bladder irrigation quality threshold, trigger a bladder irrigation compensation event based on the bladder irrigation quality distribution map; Refer to Figure 2 , in step S11, dynamically detect the bladder irrigation process of a patient, and collect multiple bladder irrigation images of the patient at different time nodes; In the specific implementation process of the present invention, the specific steps are as follows: S111: Collect the bladder irrigation position of the patient, determine the moving path of the bladder irrigation head based on the bladder irrigation position of the patient and the current position of the bladder irrigation head. At this time, the bladder irrigation head moves along this moving path, triggers corresponding irrigation at the bladder irrigation position of the patient, and a micro camera module is arranged on the periphery of the bladder irrigation head; S112: When the bladder irrigation head irrigates the bladder, collect the irrigation time of each irrigation of the bladder irrigation head, and match each irrigation time with the corresponding time node to form multiple different time nodes; S113: The micro - imaging module triggers corresponding timed shootings based on multiple different time nodes, and performs circular shooting after each bladder irrigation to capture multiple bladder irrigation images of the patient at different time nodes, and the multiple bladder irrigation images are marked with corresponding time nodes.

[0011] In an embodiment of the present application, the bladder irrigation position of the patient is collected, and the movement path of the bladder irrigation head is determined based on the bladder irrigation position of the patient and the current position of the bladder irrigation head. At this time, the bladder irrigation head moves along this movement path and triggers corresponding irrigation at the bladder irrigation position of the patient. Meanwhile, a micro - imaging module is configured on the periphery of the bladder irrigation head, which takes into account the overall consideration of the bladder irrigation position of the patient and the current position of the bladder irrigation head, and ensures the accuracy of the movement path of the bladder irrigation head.

[0012] At this time, the bladder irrigation position of the patient is collected, and at the same time, the bladder area to be irrigated is determined to provide a target position for the subsequent movement and irrigation of the irrigation head; optionally, medical imaging techniques (such as ultrasonic imaging) are used to obtain the bladder image of the patient; through image analysis software, the contour of the bladder and the area to be irrigated are identified; the identified area is converted into coordinate data as the bladder irrigation position. Plan the movement trajectory of the irrigation head from the current position to the target irrigation position; at this time, based on the bladder irrigation position and the current position of the irrigation head, path - planning algorithms (such as A* algorithm, Dijkstra algorithm, etc.) are used to calculate the shortest or optimal path; considering the anatomical structure of the bladder and the physical limitations of the irrigation head (such as diameter, bending angle, etc.), the path is adjusted to avoid damaging the bladder.

[0013] Enable the bladder irrigation head to accurately reach the target irrigation position. At this time, drive the irrigation head to move along the planned path; real - time monitor the position and attitude of the irrigation head through sensors (such as position sensors, angle sensors, etc.); according to the monitoring results, adjust the parameters of the drive system to ensure that the irrigation head can accurately reach the target position; at the same time, after reaching the target irrigation position, start the irrigation operation; when the irrigation head reaches the target position, trigger the irrigation operation through the control system; the irrigation operation includes opening the irrigation fluid valve, adjusting the flow rate and pressure of the irrigation fluid, etc.

[0014] Capture images inside the bladder in real - time during the irrigation process for subsequent analysis and evaluation of the irrigation effect; at this time, install a micro - imaging module (such as a micro - camera, infrared imager, etc.) on the periphery of the irrigation head; the imaging module should have high resolution and wide - angle vision to capture the detailed conditions inside the bladder; the imaging module should be connected to the control system to transmit image data in real - time during the irrigation process.

[0015] Specifically, assume that a patient needs bladder irrigation treatment; first, the doctor uses an ultrasonic imaging device to obtain the patient's bladder image, and uses image analysis software to identify the area to be irrigated (such as the bottom of the bladder); then, the doctor converts the identified area into coordinate data and inputs it into the bladder irrigation device; next, the bladder irrigation device calculates the optimal movement path using a path planning algorithm based on the input coordinate data and the current position of the irrigation head; the irrigation head moves along this path and triggers the irrigation operation when it reaches the target position (the bottom of the bladder); during the irrigation process, the micro camera module configured on the periphery of the irrigation head captures the image inside the bladder in real time and transmits the image data to the control system; the doctor views the images during the irrigation process through the control system for subsequent analysis and evaluation of the irrigation effect.

[0016] Furthermore, when the bladder irrigation head irrigates the bladder, the irrigation time of each irrigation of the bladder irrigation head is collected, and each irrigation time is matched with the corresponding time node to form multiple different time nodes, and multiple different time nodes are introduced.

[0017] At this time, record the duration of each irrigation operation for subsequent analysis and evaluation of the irrigation effect; at this time, when the irrigation head starts to irrigate, record the current time as the irrigation start time through the control system or sensor; when the irrigation head stops irrigating, also record the current time as the irrigation end time through the control system or sensor; calculate the difference between the irrigation start time and the irrigation end time to obtain the duration of each irrigation.

[0018] Associate the irrigation time with specific time nodes so that the irrigation effect at different time points can be traced and compared in subsequent analysis; at this time, create a list of time nodes, where each node represents a specific time point (such as every minute, every hour, etc.); for each irrigation operation, classify it to the closest time node according to its start time or end time; during the classification process, retain the exact value of the irrigation time for more detailed analysis when needed.

[0019] Through the matching of multiple irrigation operations and time nodes, construct a time series to analyze the changing trend of the irrigation effect over time. At the same time, repeat the above two steps until all irrigation operations are classified to the corresponding time nodes; arrange all time nodes in chronological order to form a time series; in the time series, each time node corresponds to the duration of one or more irrigation operations, and these durations are used for subsequent analysis and evaluation.

[0020] Specifically, assume that a patient is undergoing bladder irrigation treatment, and the irrigation head performs an irrigation operation every 5 minutes; during the irrigation process, the control system records the start time and end time of each irrigation; for example, during the first irrigation, the start time recorded by the control system is 9:00 am sharp, and the end time is 9:02 am, so the duration of this irrigation is 2 minutes; similarly, during the second irrigation, the recorded start time is 9:05 am, and the end time is 9:07 am, with a duration of 2 minutes; and so on, the duration of each irrigation will be recorded.

[0021] Next, the control system matches these irrigation times to the corresponding time nodes; in this example, the time nodes are set at every 5 minutes (i.e., 9:00 am, 9:05 am, 9:10 am, etc.); thus, the first irrigation is classified into the time node of 9:00 am, the second irrigation is classified into the time node of 9:05 am, and so on; finally, the control system will form a time series, where each time node corresponds to the duration of one or more irrigation operations, and this time series is used for subsequent analysis and evaluation, such as comparing the irrigation effects at different time points, analyzing the change trend of the irrigation effect over time, etc.

[0022] Therefore, the micro camera module triggers corresponding timed shootings based on multiple different time nodes and performs circular shootings after each bladder irrigation to capture multiple bladder irrigation images of the patient at different time nodes. Multiple bladder irrigation images are marked with the corresponding time nodes, introducing multiple bladder irrigation images and realizing the subsequent control of multiple bladder irrigation images.

[0023] At this time, the camera module is automatically triggered to take pictures at specific time points to capture images of the bladder at different irrigation stages; at this time, a series of time nodes are preset in advance, and these nodes represent the key time points or moments that need to be recorded during the irrigation process; the micro camera module is built-in with a timer or receives signals from the control system, and when the preset time node is reached, the shooting function is automatically triggered; ensure that the triggering mechanism of the camera module is coordinated with the timing of the irrigation operation so that the shooting can be carried out immediately after the irrigation operation.

[0024] Obtain all-round images inside the bladder to comprehensively evaluate the irrigation effect; at this time, design the mechanical structure of the camera module so that it can rotate around the inside of the bladder for shooting after the irrigation head stops irrigation; precisely control the rotation angle and speed of the camera module through the control system to ensure that all corners inside the bladder are photographed; use panoramic shooting technology or image stitching technology to synthesize multiple partial images into a complete image of the inside of the bladder.

[0025] Record the status of the bladder at different flushing stages and different time points to provide data support for subsequent analysis and evaluation; at this time, after triggering the shooting at each preset time node, save the captured image data; ensure that the image data contains sufficient information, such as resolution, color depth, etc., for subsequent image analysis and processing; mark each image data with a timestamp so that images at different time points can be traced and compared in subsequent analysis.

[0026] Associate the image data with its shooting time for subsequent time series analysis and evaluation; at this time, while saving the image data, record the corresponding time node information; create a database or data table and store the image data and time node information in the form of key-value pairs; in subsequent analysis and evaluation, quickly find the image data at a specific time point by querying the database or data table.

[0027] Specifically, assume that a patient is undergoing bladder flushing treatment, and 5 time nodes are preset for shooting during the treatment: before the start of flushing, when the flushing reaches 1 / 3, when the flushing reaches 2 / 3, before the end of flushing, and after the end of flushing; the micro camera module is installed on the flushing head and has the ability to perform circular shooting; before the start of flushing, the camera module is automatically triggered to shoot at the preset time node, capturing the initial state image of the bladder; subsequently, the flushing operation starts, and the flushing fluid enters the bladder through the flushing head; when the flushing reaches 1 / 3, the camera module is triggered to shoot again, capturing the image inside the bladder at this time; similarly, when the flushing reaches 2 / 3 and before the end of flushing, the camera module also shoots respectively.

[0028] After the end of flushing, the camera module activates the circular shooting function and rotates around the inside of the bladder to capture all-round images of the inside of the bladder, which show the cleanliness and residue situation inside the bladder after flushing.

[0029] In an embodiment of the present application, collect a preset shooting image matching table, and the shooting image matching table is shown in Table 1: Table 1 Shooting Image Matching Table In this shooting image matching table, each row represents a time node and its corresponding shooting image information; the time nodes (such as T1, T2, T3, etc.) are preset to trigger the timed shooting of the camera module; the shooting image description provides a brief description of the image, and the image file path points to the actual stored image file; for the circular shooting after flushing, since multiple images are generated (such as image_T5_1.jpg, image_T5_2.jpg, etc.), these images are listed in the form of a set.

[0030] ReferenceFigure 3 In step S12, multiple bladder irrigation regions are determined based on the comparison of multiple bladder irrigation images, and corresponding multiple irrigation parameters are marked for each bladder irrigation region. The irrigation parameters include time parameters, irrigation modes, and irrigation intensities. In the specific implementation process of the present invention, the specific steps are as follows: S121: Compare multiple bladder irrigation images in sequence according to the order of time nodes, and determine multiple bladder change positions based on the sequential comparison of multiple bladder irrigation images. S122: Determine the corresponding bladder irrigation regions based on the tracing of multiple bladder change positions to obtain multiple bladder irrigation regions. S123: In each bladder irrigation region, collect the irrigation data set during the irrigation process of this bladder irrigation region, and determine multiple irrigation parameters based on the screening of this irrigation data set, and mark the multiple irrigation parameters on the corresponding bladder irrigation region. The multiple irrigation parameters are time parameters, irrigation modes, and irrigation intensities respectively. In the embodiment of the present application, comparing multiple bladder irrigation images in sequence according to the order of time nodes and determining multiple bladder change positions based on the sequential comparison of multiple bladder irrigation images ensure the accuracy of multiple bladder change positions.

[0031] At this time, comparing multiple bladder irrigation images in sequence according to the order of time nodes and determining multiple bladder change positions based on the sequential comparison of multiple bladder irrigation images. The core of this step is to identify the change positions inside the bladder during the irrigation process by comparing bladder irrigation images at different time nodes, which usually involves image processing and computer vision technologies such as feature extraction, image registration, and difference analysis.

[0032] First, sort all bladder irrigation images according to the order of time nodes, which ensures that the comparison is carried out in a time series and can reflect the dynamic changes of the irrigation process; before the comparison, the images need to be preprocessed, such as denoising, enhancing contrast, normalizing, etc., to improve the accuracy and reliability of the comparison.

[0033] Use image processing algorithms to extract key features in each image. These features are edges, textures, colors, etc., which can reflect the internal structure and changes of the bladder; register the images of adjacent time nodes, that is, align them so that the changes at the same position can be directly compared, which usually involves operations such as translation, rotation, and scaling of the images; compare the registered images and calculate the differences between them, which is achieved through pixel differences, feature differences, or more advanced image similarity metrics; according to the results of the difference analysis, determine the positions where significant changes occur inside the bladder, which are the regions where residues are reduced, the regions where cleanliness is improved, or the regions where the shape of the bladder wall changes.

[0034] Specifically, assume that during a bladder irrigation treatment, images at the following four time points (T1, T2, T3, T4) are taken: T1: The bladder image before irrigation, showing obvious residues and sediments inside the bladder; T2: The image when the irrigation is halfway through, showing that some residues have been washed away, but there are still some left; T3: The image when the irrigation is about to end, showing that most of the inside of the bladder is clean, but there is still a small amount of residue at the bottom of the bladder; T4: The image after the irrigation is completed, showing that the inside of the bladder is completely clean without residues; Carry out comparative analysis according to step S121: Sort T1, T2, T3, T4 in chronological order; Denoise and enhance the contrast of each image; Extract the edge and texture features of each image; Register T1 with T2, T2 with T3, and T3 with T4 respectively; Difference analysis: Comparing T1 and T2, it is found that the residues inside the bladder have decreased, especially in the upper part of the bladder; Comparing T2 and T3, it is found that the residues in the middle of the bladder have further decreased, but there are still residues at the bottom; Comparing T3 and T4, it is found that the residues at the bottom of the bladder have been completely washed away and the inside of the bladder is completely clean.

[0035] Determination of the changing positions: Determine the upper, middle, and bottom parts of the bladder as the positions where significant changes occur; Especially at the bottom of the bladder, which has experienced a change from having obvious residues to being completely clean during the irrigation process; Through this example, it can be seen how step S121 determines the changing positions inside the bladder during the irrigation process by comparing and analyzing the bladder irrigation images at different time points, and this information is of great significance for subsequent analysis of the irrigation effect, optimization of the irrigation strategy, and assessment of the bladder health status.

[0036] Furthermore, corresponding bladder irrigation regions are determined based on the tracing of multiple bladder changing positions to obtain multiple bladder irrigation regions, and multiple bladder irrigation regions are introduced to achieve the control of the bladder irrigation regions.

[0037] At this time, corresponding bladder irrigation regions are determined based on the tracing of multiple bladder changing positions to obtain multiple bladder irrigation regions; The core of this step lies in further inferring the bladder irrigation regions corresponding to these changes based on the changing positions inside the bladder determined in step S121, which usually involves the understanding of the bladder anatomical structure and the comprehensive analysis of the dynamic changes inside the bladder during the irrigation process.

[0038] Review all the positions of bladder changes determined in step S121, which reflect the dynamic changes inside the bladder during the irrigation process; familiarize with the anatomical structure of the bladder, including important parts such as the bladder wall, trigone of the bladder, and ureteral orifices, which helps to understand the correspondence between the change positions and specific regions of the bladder; combine the parameters during the irrigation process (such as irrigation fluid flow rate, pressure, irrigation time, etc.) and analyze how these parameters affect the changes inside the bladder.

[0039] Based on the spatial distribution of the change positions, the bladder anatomical structure, and the analysis of the irrigation process, infer the corresponding bladder irrigation regions, which are the parts inside the bladder that are directly affected or undergo significant changes during the irrigation process; after inferring the irrigation regions, it is necessary to further determine the boundaries of these regions, which is achieved by analyzing the continuity of the change positions, the morphological changes of the bladder wall, and the flow pattern of the irrigation fluid in the bladder; mark the inferred irrigation regions for subsequent analysis and evaluation, which is achieved by drawing boundaries on images, recording region information in data tables, etc.

[0040] Specifically, assume that in step S121, several change positions inside the bladder have been determined, and these positions are mainly distributed at the bottom, side, and posterior wall of the bladder; now, the corresponding bladder irrigation regions will be inferred based on this information.

[0041] Review the determined change positions and find that they are mainly concentrated at the bottom, side, and posterior wall of the bladder; familiarize with the anatomical structure of the bladder and know that the bottom of the bladder is the main area for urine storage, while the side and posterior wall are related to the expansion and contraction of the bladder; combine the parameters during the irrigation process and find that the irrigation fluid flow rate and pressure remain constant during the irrigation process, but the irrigation time is different, which affects the irrigation effect of different regions inside the bladder.

[0042] Based on the spatial distribution of the change positions and the bladder anatomical structure, infer that the bottom of the bladder is the main irrigation region because the residues here are significantly reduced during the irrigation process; at the same time, the side and posterior wall are also inferred as irrigation regions because the morphological changes of the bladder wall occur here during the irrigation process; by analyzing the continuity of the change positions and the morphological changes of the bladder wall, determine the boundaries of the irrigation regions at the bottom, side, and posterior wall of the bladder, which are clearly visible on the image and conform to the anatomical structure of the bladder; draw the boundaries of the irrigation regions at the bottom, side, and posterior wall of the bladder on the image and record the information of these regions in the data table, which provides an important basis for subsequent analysis and evaluation; through this example, it can be seen how step S122 determines the corresponding bladder irrigation regions by comprehensively analyzing the change positions inside the bladder, the anatomical structure, and the irrigation process, and this information is of great significance for optimizing the irrigation strategy, evaluating the irrigation effect, and guiding subsequent treatment.

[0043] Therefore, in each bladder irrigation area, collect the irrigation data set during the irrigation process of this bladder irrigation area, determine multiple irrigation parameters according to the screening of this irrigation data set, and mark the multiple irrigation parameters in the corresponding bladder irrigation area. The multiple irrigation parameters are respectively a time parameter, an irrigation mode, and an irrigation intensity.

[0044] At this time, in each bladder irrigation area, collect the irrigation data set during the irrigation process of this bladder irrigation area, determine multiple irrigation parameters according to the screening of this irrigation data set, and mark the multiple irrigation parameters in the corresponding bladder irrigation area. These irrigation parameters include a time parameter (such as the irrigation duration), an irrigation mode (such as continuous irrigation, intermittent irrigation, etc.), and an irrigation intensity (such as the flow rate and pressure of the irrigation fluid, etc.); the core of this step is to further collect and analyze the data of these areas during the irrigation process based on the bladder change position and irrigation area determined in steps S121 and S122 to determine the key irrigation parameters, which are crucial for optimizing the irrigation strategy, improving the irrigation effect, and ensuring patient safety.

[0045] In each bladder irrigation area, use appropriate sensors or monitoring devices to collect data during the irrigation process. These data include the flow rate, pressure, temperature, irrigation time, etc. of the irrigation fluid; ensure the accuracy and integrity of data collection for subsequent analysis and determination of irrigation parameters; screen and process the collected irrigation data set to remove outliers, noise, and redundant information; use statistical analysis, data mining, or machine learning and other methods to extract the key data features closely related to the irrigation effect.

[0046] Based on the screened and processed data, determine the key irrigation parameters for each irrigation area. These parameters include the irrigation duration, irrigation mode (continuous irrigation, intermittent irrigation, etc.), and irrigation intensity (flow rate and pressure of the irrigation fluid, etc.); the determination of irrigation parameters should be based on clinical experience and data support to ensure their effectiveness and safety; mark the determined irrigation parameters on the corresponding bladder irrigation area.

[0047] Specifically, assume that in steps S121 and S122, the bottom and side of the bladder have been determined as the main irrigation areas, and the data of these areas during the irrigation process have been collected; now, the irrigation parameters will be determined based on these data; in the bottom and side areas of the bladder, use a flow sensor and a pressure sensor to collect the flow rate and pressure data of the irrigation fluid; at the same time, record the start time and end time of the irrigation to calculate the irrigation duration; screen the collected flow rate and pressure data to remove outliers caused by equipment failure or improper operation; use statistical analysis methods to calculate the average flow rate, maximum pressure, and average value of the irrigation duration for each irrigation area.

[0048] Determination of irrigation parameters: Based on the screened and processed data, the irrigation parameters for the bottom of the bladder are determined as follows: the irrigation duration is 10 minutes, the irrigation mode is intermittent irrigation (stop for 1 minute every 2 minutes of irrigation), the irrigation intensity is a flow rate of 200 ml / min and a pressure of 20 kPa; the irrigation parameters for the side of the bladder are determined as follows: the irrigation duration is 8 minutes, the irrigation mode is continuous irrigation, the irrigation intensity is a flow rate of 150 ml / min and a pressure of 15 kPa. The determination of these parameters takes into account factors such as irrigation effect, patient tolerance, and equipment limitations; the irrigation areas at the bottom and side of the bladder are marked on the image, and the corresponding irrigation parameters are recorded beside; the corresponding parameter values are set on the control panel of the irrigation device to ensure that the irrigation process can be carried out according to the predetermined parameters.

[0049] In an embodiment of the present application, a matching table of bladder irrigation areas and irrigation parameters is collected. The matching table of bladder irrigation areas and irrigation parameters is shown in Table 2: Table 2 Matching Table of Bladder Irrigation Areas and Irrigation Parameters In this matching table of bladder irrigation areas and irrigation parameters, specific irrigation parameters are specified for each bladder irrigation area; for example, the irrigation duration at the bottom of the bladder is 15 minutes, the intermittent irrigation mode is adopted (stop for 1 minute every 2 minutes of irrigation), and the irrigation intensity is a flow rate of 250 ml / min and a pressure of 25 kPa.

[0050] Reference Figure 4 , in step S13, in each bladder irrigation area, based on multiple irrigation parameters and the post-irrigation image of the bladder irrigation area, the sub-irrigation quality of the bladder irrigation area is determined; In the specific implementation process of the present invention, the specific steps are as follows: S131: Real-time detection is performed on each bladder irrigation area, multiple irrigation combinations are determined based on multiple irrigation parameters of the bladder irrigation area, and multiple irrigation features are determined according to the recognition of the multiple irrigation combinations; S132: The post-irrigation image of the bladder irrigation area is collected, and the multiple irrigation features are matched to the post-irrigation image of the bladder irrigation area. At this time, the post-irrigation image of the bladder irrigation area presents the surface morphology and multiple irrigation features of the bladder irrigation area; S133: The surface cleanliness parameter of the bladder irrigation area is determined according to the surface morphology and multiple irrigation features of the bladder irrigation area, and the sub-irrigation quality of the bladder irrigation area is determined according to the surface cleanliness parameter of the bladder irrigation area, the area of the bladder irrigation area, and the first irrigation quality mapping relationship.

[0051] In the embodiments of the present application, real-time detection is performed on each bladder irrigation area, multiple irrigation combinations are determined based on multiple irrigation parameters of the bladder irrigation area, and multiple irrigation characteristics are determined based on the recognition of the multiple irrigation combinations, ensuring the accuracy of the multiple irrigation characteristics.

[0052] At this time, real-time detection is performed on each bladder irrigation area, and multiple irrigation combinations are determined based on multiple irrigation parameters of these areas; then, these irrigation combinations will be recognized, and key irrigation characteristics will be extracted from them for subsequent analysis and optimization of the irrigation strategy.

[0053] Use appropriate monitoring devices or sensors to collect data on the bladder irrigation area in real time; including key parameters such as the flow rate of the irrigation fluid, irrigation mode, irrigation intensity, irrigation time, etc.; ensure the accuracy and real-time nature of the data for subsequent analysis and decision-making.

[0054] According to the real-time detected data and preset irrigation parameter ranges (such as flow rate range, irrigation intensity range, irrigation time range, etc.), generate multiple irrigation combinations; at this time, use permutation and combination, optimization algorithms or empirical rules to generate irrigation combinations; the quantity depends on the parameter range and the generation method, ranging from several to hundreds.

[0055] Give a unique identifier to each generated irrigation combination for subsequent tracking and analysis; based on the data of the irrigation combination and clinical experience, extract key irrigation characteristics, and these characteristics include irrigation efficiency, residue clearance rate, degree of bladder wall irritation, irrigation fluid consumption, etc.; perform quantitative processing on the extracted characteristics for subsequent comparison and analysis.

[0056] Specifically, assume there is a bladder irrigation system that real-time monitors the irrigation parameters of two bladder irrigation areas (Area A and Area B); uses a flow sensor and an irrigation intensity sensor to real-time monitor the irrigation fluid flow rate and irrigation intensity of Area A and Area B; at the same time, record the start time and end time of the irrigation to calculate the irrigation time.

[0057] Assume the preset flow rate range is 150 - 300 ml / min, the irrigation intensity range is 15 - 30 kPa, and the time range is 5 - 20 minutes; for Area A, the following three irrigation combinations are generated: Combination 1: flow rate 200 ml / min, irrigation intensity 20 kPa, time 10 minutes; Combination 2: flow rate 250 ml / min, irrigation intensity 25 kPa, time 15 minutes; Combination 3: flow rate 300 ml / min, irrigation intensity 30 kPa, time 20 minutes; for Area B, similar irrigation combinations are also generated.

[0058] A unique identifier is assigned to each irrigation combination. For example, "A1", "A2", "A3" represent three combinations in area A, and "B1", "B2", "B3" represent three combinations in area B. Based on historical data and clinical experience, the following irrigation characteristics are extracted: Irrigation efficiency: Evaluated by comparing the amount of residues before and after irrigation; Residue clearance rate: The percentage reduction of residues after irrigation; Degree of bladder wall irritation: Evaluated by monitoring the physiological responses of the bladder wall; Total amount of irrigation fluid consumed during the irrigation process. These characteristics are quantified. For example, irrigation efficiency is expressed as "high", "medium", "low", the residue clearance rate is expressed as a percentage, the degree of bladder wall irritation is expressed as "mild", "moderate", "severe", and the total amount of irrigation fluid consumed is expressed in milliliters.

[0059] Further, post-irrigation images of the bladder irrigation area are collected, and multiple irrigation characteristics are matched to the post-irrigation images of the bladder irrigation area. At this time, the post-irrigation images of the bladder irrigation area present the surface morphology of the bladder irrigation area and multiple irrigation characteristics. At this time, post-irrigation images of the bladder irrigation area are collected, and characteristics that are relevant to the image content and significant for evaluating the irrigation effect are selected from the previously determined irrigation characteristics. At this time, the selected irrigation characteristics are matched to the post-irrigation images in an appropriate manner (such as annotation, color coding, overlaying information layers, etc.). Ensure the accurate matching between the characteristics and the images for the accuracy of subsequent analysis and evaluation.

[0060] Specifically, there is a patient undergoing bladder irrigation who has completed the irrigation combinations determined in step S131, and post-irrigation images are collected. The following is the application of step S132 in actual operation: The patient is examined using a cystoscope, and post-irrigation images of the bladder bottom are collected. The images show that the surface of the bladder bottom is smooth, but there are some tiny residue spots.

[0061] In step S131, several key irrigation characteristics have been determined, including irrigation efficiency, residue clearance rate, degree of bladder wall irritation, and total amount of irrigation fluid consumed. For this post-irrigation image, the two characteristics of "residue clearance rate" and "degree of bladder wall irritation" are selected for matching. Color coding is used on the image to represent the residue clearance rate: Green indicates a high clearance rate (less residue), and red indicates a low clearance rate (more residue). In this image, most areas are shown in green, but there are several spots shown in red, indicating a lower residue clearance rate in these areas. For the degree of bladder wall irritation, a short text description is added beside the image: "The degree of bladder wall irritation is mild, and no obvious inflammatory reaction is observed." Through step S132, the irrigation characteristics are successfully matched to the post-irrigation images, enabling the images to not only show the surface morphology of the bladder irrigation area but also reflect its irrigation characteristics.

[0062] Therefore, the surface cleanliness parameter of the bladder irrigation area is determined based on the surface morphology and multiple irrigation characteristics of the bladder irrigation area, and the sub-irrigation quality of the bladder irrigation area is determined according to the surface cleanliness parameter of the bladder irrigation area, the area of the bladder irrigation area, and the first irrigation quality mapping relationship, which takes into account the surface cleanliness parameter of the bladder irrigation area, the area of the bladder irrigation area, and the first irrigation quality mapping relationship as a whole, ensuring the accuracy of the sub-irrigation quality of the bladder irrigation area. At the same time, the quality control of each bladder irrigation area is introduced, thus ensuring the sub-irrigation quality of each bladder irrigation area, which is convenient for subsequent control of the overall bladder irrigation quality.

[0063] At this time, the surface cleanliness parameter of this area is determined according to the surface morphology and multiple irrigation characteristics of the bladder irrigation area; then, combining the area of this area and the preset first irrigation quality mapping relationship, the sub-irrigation quality of this area will be calculated. This step is crucial for evaluating the irrigation effect, optimizing the irrigation strategy, and ensuring patient safety.

[0064] Carefully examine the post-irrigation image, analyze the surface morphology of the bladder irrigation area (such as smoothness, residue distribution, etc.) and the previously determined irrigation characteristics (such as irrigation efficiency, residue clearance rate, etc.); based on the analysis results, define one or more quantitative indicators as the surface cleanliness parameter, and these parameters should be able to objectively and accurately reflect the cleanliness of the irrigation area.

[0065] Use appropriate measurement methods (such as the area measurement tool in medical imaging software) to determine the area of the bladder irrigation area; according to the preset first irrigation quality mapping relationship (which is a mathematical model, lookup table, or empirical formula), convert the surface cleanliness parameter and the area of the region into the sub-irrigation quality. This mapping relationship should be established based on a large amount of clinical data, experimental results, or expert opinions; substitute the surface cleanliness parameter and the area of the region into the mapping relationship to calculate the sub-irrigation quality of this region; the sub-irrigation quality is a quantitative indicator used to evaluate the quality of the irrigation effect.

[0066] Specifically, assume there is a patient undergoing bladder irrigation who has completed the matching of irrigation characteristics and post-irrigation images in step S132; carefully examine the post-irrigation image at the bottom of the bladder and find that the surface is smooth with only a few small residue spots; the previously determined irrigation characteristics include the residue clearance rate and the degree of bladder wall irritation; in this image, the residue clearance rate is very high (exceeding 95%), and the degree of bladder wall irritation is mild; therefore, the "residue clearance rate" is defined as the surface cleanliness parameter and quantified as 96% (based on image analysis and calculation of the residue clearance rate).

[0067] The area of the bladder base was measured using medical imaging software, and the area was found to be 30 square centimeters. There is a preset first flushing quality mapping relationship, which is a mathematical model based on clinical data. This model takes the residue clearance rate and the regional area as input variables and outputs the sub-flushing quality. Substituting a residue clearance rate of 96% and a regional area of 30 square centimeters into the model, the calculated sub-flushing quality is 98% (indicating that the flushing effect is very good and close to perfect). Through step S133, the surface cleanliness parameter was successfully determined based on the surface morphology and flushing characteristics of the bladder flushing area, and the sub-flushing quality was calculated by combining the regional area and the flushing quality mapping relationship.

[0068] In an embodiment of the present application, the post-flushing image is analyzed, and one or more surface cleanliness parameters are determined in combination with flushing characteristics (such as residue clearance rate, degree of bladder wall irritation, etc.). Based on clinical data or experimental results, a sub-flushing quality level matching table is created to associate the surface cleanliness parameter, the regional area with the sub-flushing quality. The sub-flushing quality level matching table is shown in Table 3: Table 3 Sub-flushing Quality Level Matching Table Assuming that the residue clearance rate of the bladder flushing area is 96% and the area is 40 square centimeters, according to the sub-flushing quality level matching table, the sub-flushing quality level of this area is "excellent".

[0069] Reference Figure 5 , in step S14, based on the relative distances of multiple sub-flushing qualities and multiple bladder flushing areas, the bladder flushing quality distribution map of the patient is determined, and the overall bladder flushing quality is determined according to the recognition of the bladder flushing quality distribution map; In the specific implementation process of the present invention, the specific steps are as follows: S141: A corresponding coordinate system is constructed in the bladder, and the position coordinates of multiple bladder flushing areas are marked, and the relative distances of multiple bladder flushing areas are determined based on the comparison of the position coordinates of multiple bladder flushing areas; S142: The corresponding sub-flushing quality is marked for multiple bladder flushing areas, and the bladder flushing quality distribution map of the patient is determined based on multiple sub-flushing qualities, the position coordinates of multiple bladder flushing areas, and the relative distances of multiple bladder flushing areas; S143: In the bladder flushing quality distribution map of the patient, two adjacent sub-flushing qualities are collected, and the change amount of the sub-flushing quality is determined based on the two adjacent sub-flushing qualities, and the overall bladder flushing quality is determined based on the relative distances of multiple bladder flushing areas, the corresponding change amount of the sub-flushing quality, the surface morphology of the bladder flushing area, and the second flushing quality mapping relationship.

[0070] In an embodiment of the present application, a corresponding coordinate system is constructed in the bladder, and the position coordinates of multiple bladder irrigation regions are marked. The relative distances between the multiple bladder irrigation regions are determined based on the comparison of the position coordinates of the multiple bladder irrigation regions, ensuring the accuracy of the relative distances between the multiple bladder irrigation regions.

[0071] At this time, one or more fixed reference points are selected in the bladder as the origin or reference of the coordinate system. These reference points are specific anatomical positions of the bladder, such as the bottom, top, or side of the bladder; according to the shape and anatomical structure of the bladder, three mutually perpendicular coordinate axes (X, Y, Z axes) are determined. These coordinate axes should accurately reflect the spatial position and shape of the bladder; the reference points and the coordinate axes are combined to construct a complete three-dimensional coordinate system, which will be used to mark and locate each irrigation region in the bladder.

[0072] Through medical imaging techniques (such as CT, MRI, or cystoscopy), multiple irrigation regions in the bladder are identified. These regions are predefined based on the irrigation strategy and are also determined according to the shape and characteristics of the bladder after irrigation; in the constructed coordinate system, the position coordinates of the center or representative point of each irrigation region are measured. These coordinates are usually represented by X, Y, Z values in three-dimensional space.

[0073] Using the position coordinates, the straight-line distance or the Euclidean distance in three-dimensional space between any two irrigation regions is calculated. These distances reflect the relative positions and distributions of the irrigation regions in the bladder; by analyzing the relative distances, the spatial relationships between the irrigation regions are understood, such as whether they are closely adjacent, whether there are large intervals, etc. This information is of great significance for evaluating the irrigation effect, identifying potential problem areas, and optimizing the irrigation strategy.

[0074] Specifically, assume there is a patient undergoing bladder irrigation who has completed the medical imaging examination of the bladder. The bottom of the bladder is selected as the origin (0,0,0) of the coordinate system; the X-axis is determined as the front-back direction of the bladder, the Y-axis is the left-right direction, and the Z-axis is the up-down direction; a three-dimensional coordinate system with the bottom of the bladder as the origin and the X, Y, Z axes as the reference is constructed.

[0075] Through medical imaging examinations, three flushing regions in the bladder are identified: Region A, Region B, and Region C. In the constructed coordinate system, the position coordinates of Region A are measured as (10, 15, 20), the position coordinates of Region B are (20, 25, 15), and the position coordinates of Region C are (5, 5, 30). The relative distance between Region A and Region B is calculated as √((20 - 10)²+(25 - 15)²+(15 - 20)²)=√(100 + 100 + 25)=√225 = 15 (centimeters). Similarly, the relative distances between Region A and Region C, and Region B and Region C are calculated. By analyzing this distance information, it is found that Region A and Region B are relatively close, while Region C has a certain interval from them, which indicates that special attention should be paid to the flushing effect of Region C during flushing. Through the analysis in step S141, the coordinate system in the bladder is successfully constructed, and the position coordinates of multiple bladder flushing regions are marked. At the same time, the relative distances between these regions are also calculated, providing basic data for the subsequent analysis of the quality of bladder flushing. This information helps doctors to more comprehensively understand the effect and distribution of bladder flushing, so as to formulate more reasonable flushing strategies and optimization plans.

[0076] Furthermore, corresponding sub-flushing qualities are marked for multiple bladder flushing regions, and the bladder flushing quality distribution map of the patient is determined based on the multiple sub-flushing qualities, the position coordinates of the multiple bladder flushing regions, and the relative distances of the multiple bladder flushing regions, taking into account the overall consideration of the multiple sub-flushing qualities, the position coordinates of the multiple bladder flushing regions, and the relative distances of the multiple bladder flushing regions, ensuring the accuracy of the bladder flushing quality distribution map of the patient.

[0077] At this time, the sub-flushing quality of the multiple previously marked bladder flushing regions is evaluated, and combined with the position coordinates and relative distance information of these regions, the bladder flushing quality distribution map of the patient is generated. This step is crucial for comprehensively understanding the patient's bladder flushing condition, identifying potential problem areas, and formulating targeted flushing strategies.

[0078] Collect flushing data for each flushing region, which includes the amount of flushing fluid used, flushing time, the amount of residues after flushing, etc. Based on the flushing data and preset flushing quality evaluation criteria (such as residue clearance rate, bladder wall irritation degree, etc.), the sub-flushing quality of each flushing region is evaluated. The evaluation results are usually expressed in grades (such as excellent, good, medium, poor) or numerical values (such as scores, percentages, etc.).

[0079] From the previous steps, the position coordinates of each flushing region have been obtained, which are the basis for constructing the bladder flushing quality distribution map. At the same time, the relative distances between the flushing regions are also known, and this information helps to accurately reflect the spatial relationship and distribution characteristics of the flushing regions in the distribution map.

[0080] According to actual needs, select an appropriate visualization tool (such as medical image processing software, geographic information system, etc.) to generate a distribution map; in the visualization tool, use the position coordinates of the flushing area as the spatial reference, the sub-flushing quality as the attribute information, and combine the relative distance for spatial interpolation or color coding to generate an intuitive bladder flushing quality distribution map; finally, carefully interpret the distribution map to analyze the spatial distribution characteristics of the flushing quality, potential problem areas, and the optimization direction of the flushing strategy.

[0081] Specifically, assume there is a patient undergoing bladder flushing who has completed the analysis in step S141 and obtained the position coordinates and relative distance information of three flushing areas (area A, area B, area C); based on the flushing data and the flushing quality assessment criteria, the sub-flushing quality of the three flushing areas is evaluated; the results are as follows: the sub-flushing quality of area A is "excellent" (score 90%), the sub-flushing quality of area B is "good" (score 75%), and the sub-flushing quality of area C is "medium" (score 60%).

[0082] The previously obtained position coordinates and relative distance information are reviewed; for example, the position coordinates of area A are (10, 15, 20), the position coordinates of area B are (20, 25, 15), the position coordinates of area C are (5, 5, 30), and the relative distance between area A and area B is 15 cm; the medical image processing software is selected as the visualization tool; in the software, the position coordinates and sub-flushing quality information are imported, and color coding is used to represent the flushing quality level (e.g., red represents "excellent", orange represents "good", yellow represents "medium", and green represents "poor").

[0083] The software automatically draws a bladder flushing quality distribution map based on the position coordinates and sub-flushing quality information; in the drawn bladder flushing quality distribution map, it can be clearly seen that area A appears red (excellent), area B appears orange (good), and area C appears yellow (medium); by analyzing the distribution map, it is found that the flushing quality of area C is relatively low, and it is necessary to increase the amount of flushing fluid or extend the flushing time to improve the flushing effect; at the same time, it is also noted that the flushing quality of area A and area B is good and they are relatively close, which suggests considering these two areas as key flushing areas during flushing and appropriately adjusting the flushing strategy to optimize the overall flushing effect.

[0084] Therefore, in the bladder irrigation quality distribution map of the patient, two adjacent sub-irrigation qualities are collected, and the change amount of the sub-irrigation quality is determined based on the two adjacent sub-irrigation qualities. The overall bladder irrigation quality is determined by the relative distances of multiple bladder irrigation regions, the corresponding change amounts of the sub-irrigation qualities, the surface morphology of the bladder irrigation regions, and the second irrigation quality mapping relationship, which incorporates the overall consideration of the relative distances of multiple bladder irrigation regions, the corresponding change amounts of the sub-irrigation qualities, the surface morphology of the bladder irrigation regions, and the second irrigation quality mapping relationship, ensuring the accuracy of the overall bladder irrigation quality.

[0085] At this time, based on the bladder irrigation quality distribution map, the change amount of the sub-irrigation quality between adjacent irrigation regions is further analyzed, and multiple factors (including the relative distance of the irrigation regions, the change amount of the sub-irrigation quality, the surface morphology of the bladder irrigation regions, and the preset second irrigation quality mapping relationship) are combined to determine the overall bladder irrigation quality. This step is of great significance for deeply understanding the uniformity of bladder irrigation, identifying potential problem areas, and evaluating the overall irrigation effect.

[0086] In the bladder irrigation quality distribution map, first, two adjacent irrigation regions are selected as the analysis objects. These regions are adjacent regions predefined based on the irrigation strategy and are also adjacent regions determined according to the morphology and characteristics of the bladder after irrigation; the sub-irrigation quality levels or scores of these two adjacent regions are recorded for subsequent calculation of the change amount.

[0087] According to the recorded sub-irrigation quality, the change amount of the sub-irrigation quality between two adjacent regions is calculated, which is usually achieved by calculating the difference in the sub-irrigation quality levels or scores of the two regions; the magnitude and direction of the change amount are analyzed to understand the spatial change trend of the irrigation quality; a larger change amount means a higher non-uniformity of the irrigation quality and requires special attention.

[0088] The relative distance of the irrigation regions affects the diffusion of the irrigation fluid and the removal of residues; regions that are closer have more similar irrigation quality, while regions that are farther apart have greater differences; at the same time, the change amount of the sub-irrigation quality reflects the uniformity and consistency of the irrigation quality in space; a smaller change amount usually means a more uniform irrigation effect; the surface morphology of the bladder irrigation regions (such as smoothness, folds, etc.) affects the flow of the irrigation fluid and the attachment of residues; a complex surface morphology leads to an increase in the non-uniformity of the irrigation quality.

[0089] The second flushing quality mapping relationship is a preset model or rule used to integrate local flushing quality information (such as sub-flushing quality, relative distance, surface morphology, etc.) into an assessment of the overall flushing quality; the second flushing quality mapping relationship is derived based on clinical experience, experimental results, or data analysis; by inputting the above factors into the second flushing quality mapping relationship, an assessment result of the overall bladder flushing quality is calculated, and this result is usually expressed in the form of a grade (such as excellent, good, medium, poor) or a numerical value (such as score, percentage, etc.).

[0090] Specifically, suppose there is a patient undergoing bladder flushing who has completed the analysis in step S142 and obtained a bladder flushing quality distribution map and the sub-flushing quality grades of each flushing area; in the bladder flushing quality distribution map, select two adjacent flushing areas: area A (sub-flushing quality grade is "excellent", score 90%) and area B (sub-flushing quality grade is "good", score 75%); calculate the change in sub-flushing quality between area A and area B: 90% - 75% = 15%, and this change indicates that the flushing quality has decreased from area A to area B.

[0091] At the same time, the relative distance between area A and area B is 15 cm, which belongs to relatively close areas; considering the change in sub-flushing quality: the 15% change is not large, but it is sufficient to draw attention because the flushing quality has dropped from "excellent" to "good"; through medical imaging examination, it is found that the surface morphology of area B is relatively complex, with more wrinkles, which affects the flow of the flushing fluid and the removal of residues; suppose there is a mapping relationship based on clinical experience that takes into account all the above factors; according to this mapping relationship, information such as the sub-flushing quality grades, relative distance, and surface morphology of area A and area B is input, and an assessment result of the overall bladder flushing quality is calculated; determine the overall bladder flushing quality: after calculation, the assessment result of the overall bladder flushing quality is "good" (score 80%), and this result reflects the overall effect of bladder flushing and points out the areas that need special attention (such as area B) and the optimization direction of the flushing strategy (such as increasing the amount of flushing fluid, prolonging the flushing time, or adjusting the position of the flushing head, etc.).

[0092] In an embodiment of the present application, it is assumed that the weight distribution is as follows: sub - flushing quality (50%), relative distance (20%), surface morphology (30%); for area A: sub - flushing quality score: 90 points * 50% = 45 points; relative distance score: since it is the change between adjacent areas that is considered, it is assumed here that the impact of relative distance on the score of a single area is small. However, for the sake of completeness, a baseline score (such as 10 points) is set and adjusted according to the deviation of the actual distance from the baseline distance (simplified processing in this example, no adjustment); surface morphology score: 2 (complexity rating) * 3 (score per unit of complexity, based on preset rules) * 30% = 1.8 points (rounded to 2 points); weighted total score of area A: 45 points + 10 points (assumed relative distance score) + 2 points = 57 points.

[0093] For area B, the same calculation is carried out, but the change amount of the sub - flushing quality compared with area A needs to be considered; since the sub - flushing quality of area B is lower than that of area A, the score of area B is appropriately adjusted according to the size of the change amount (such as subtracting a certain proportion of the score); finally, the weighted scores of area A and area B are aggregated to obtain the total score of the overall bladder flushing quality, and the evaluation result is determined according to the preset grade division standard.

[0094] Reference Figure 6 , in step S15, if the overall bladder flushing quality is lower than the preset bladder flushing quality threshold, a bladder flushing compensation event is triggered based on the bladder flushing quality distribution map; In the specific implementation process of the present invention, the specific steps are as follows: S151: Collect the preset bladder flushing quality threshold and compare the overall bladder flushing quality with the preset bladder flushing quality threshold; S152: If the overall bladder flushing quality is lower than the preset bladder flushing quality threshold, then compare the sub - flushing quality of each bladder flushing area with the preset bladder flushing quality threshold to determine multiple low - quality bladder flushing areas, where the sub - flushing quality of the low - quality bladder flushing areas is less than the preset bladder flushing quality threshold; S153: In the bladder flushing quality distribution map, determine the bladder flushing gap amount by comparing the sub - bladder flushing quality of the low - quality bladder flushing areas with the preset bladder flushing quality threshold. Determine the secondary bladder flushing area according to the bladder flushing gap amount and the position of the low - quality bladder flushing areas. Determine the bladder flushing compensation event according to the area of the secondary bladder flushing area, the relative position of the low - quality bladder flushing areas, and the bladder flushing gap amount. The bladder flushing compensation event includes local flushing events, synchronous flushing events, and differential flushing events.

[0095] In an embodiment of the present application, a preset bladder irrigation quality threshold is collected, and the overall bladder irrigation quality is compared with the preset bladder irrigation quality threshold, realizing the comparison between the overall bladder irrigation quality and the preset bladder irrigation quality threshold.

[0096] At this time, collect the preset bladder irrigation quality threshold, and read the preset bladder irrigation quality threshold from the database, configuration file or clinical guidelines; at the same time, judge whether the overall bladder irrigation quality meets the preset standard; calculate the overall bladder irrigation quality using an appropriate evaluation method (such as the method described in step S143), and compare it with the preset threshold; if the overall bladder irrigation quality is higher than or equal to the preset threshold, it is considered that the irrigation effect is good and no further treatment is required; if the overall bladder irrigation quality is lower than the preset threshold, it is considered that the irrigation effect is poor and further analysis and corresponding measures need to be taken.

[0097] Specifically, patient: Patient A, 50 years old, receiving bladder irrigation treatment due to prostate hyperplasia; preset bladder irrigation quality threshold: 85 points (full score is 100 points, determined based on clinical experience); at the same time, using the method described in step S143, considering factors such as the bladder irrigation quality distribution map of patient A, the change amount of adjacent sub-irrigation quality, the relative distance and surface morphology of the irrigation area, calculate the overall bladder irrigation quality to be 78 points; compare the calculated overall bladder irrigation quality of 78 points with the preset threshold of 85 points; since 78 points is lower than 85 points, it is judged that the bladder irrigation effect of patient A is poor.

[0098] According to the comparison result, the bladder irrigation quality of patient A does not meet the preset standard, and it is necessary to further analyze the low-quality irrigation area and consider taking corresponding measures such as secondary bladder irrigation to improve the irrigation effect; through the detailed description and practical examples of step S151, it is clearly understood how to collect the preset bladder irrigation quality threshold and compare it with the overall bladder irrigation quality, so as to judge whether the irrigation effect meets the expected standard, which provides an important basis for subsequent targeted irrigation measures.

[0099] Furthermore, if the overall bladder irrigation quality is lower than the preset bladder irrigation quality threshold, the sub-irrigation quality of each bladder irrigation area is compared with the preset bladder irrigation quality threshold to determine multiple low-quality bladder irrigation areas, and the sub-irrigation quality of the low-quality bladder irrigation areas is less than the preset bladder irrigation quality threshold.

[0100] At this time, a further refined analysis is carried out after evaluating the overall bladder irrigation quality; when the overall bladder irrigation quality is lower than the preset threshold, it is necessary to review the sub-irrigation quality of each bladder irrigation area one by one to determine which areas have unqualified irrigation quality, that is, low-quality bladder irrigation areas.

[0101] Determine whether it is necessary to further analyze the sub-flushing quality of each flushing area; at this time, review the results of step S151, check whether the overall bladder flushing quality is lower than the preset bladder flushing quality threshold; at the same time, obtain the detailed flushing quality information of each flushing area; extract the sub-flushing quality data of each flushing area from the bladder flushing quality distribution map or the relevant database.

[0102] Identify the areas where the flushing quality does not meet the standard; at this time, compare the sub-flushing quality of each flushing area with the preset bladder flushing quality threshold one by one; if the sub-flushing quality of a certain flushing area is higher than or equal to the preset threshold, it is considered that the flushing quality of this area meets the standard; if the sub-flushing quality of a certain flushing area is lower than the preset threshold, mark this area as a low-quality bladder flushing area. Provide data support for formulating targeted flushing strategies in the future; record all low-quality bladder flushing areas and their sub-flushing quality data, and conduct a summary analysis.

[0103] Specifically, the preset bladder flushing quality threshold for patient A: 80 points (full score is 100 points); the overall bladder flushing quality assessment result: 75 points (lower than the preset threshold).

[0104] According to the results of step S151, the overall bladder flushing quality of patient A is 75 points, lower than the preset threshold of 80 points; extract the sub-flushing quality data of each flushing area in the bladder of patient A from the bladder flushing quality distribution map; assume that there are 5 flushing areas, labeled as A, B, C, D, and E respectively, and their sub-flushing qualities are 78 points, 65 points, 82 points, 70 points, and 60 points.

[0105] Compare the sub-flushing quality with the preset threshold: Area A: 78 points (higher than the threshold of 80 points, meeting the standard); Area B: 65 points (lower than the threshold of 80 points, not meeting the standard, marked as a low-quality area); Area C: 82 points (higher than the threshold of 80 points, meeting the standard); Area D: 70 points (lower than the threshold of 80 points, not meeting the standard, marked as a low-quality area); Area E: 60 points (lower than the threshold of 80 points, not meeting the standard, marked as a low-quality area).

[0106] Regions B, D, and E are marked as low-quality bladder irrigation regions, and their sub-irrigation qualities are recorded as 65 points, 70 points, and 60 points respectively; Aggregate analysis shows that there are 3 low-quality irrigation regions in the bladder of Patient A, mainly concentrated in a specific part or region of the bladder; According to the analysis results of step S152, there are 3 low-quality irrigation regions (B, D, E) in the bladder of Patient A, and the sub-irrigation qualities of these regions are all lower than the preset threshold of 80 points; Subsequently, targeted irrigation strategies will be developed for these low-quality regions to improve the overall effect of bladder irrigation; Through the detailed description and practical examples of step S152, it is clearly understood how to identify and determine low-quality bladder irrigation regions, providing an important basis for formulating irrigation strategies in the future.

[0107] Therefore, in the bladder irrigation quality distribution map, the sub-bladder irrigation quality of the low-quality bladder irrigation region is compared with the preset bladder irrigation quality threshold to determine the bladder irrigation gap amount. According to the bladder irrigation gap amount and the location of the low-quality bladder irrigation region, the bladder secondary irrigation region is determined. According to the area of the bladder secondary irrigation region, the relative position of the low-quality bladder irrigation region, and the bladder irrigation gap amount, the bladder irrigation compensation event is determined. The bladder irrigation compensation event includes local irrigation events, synchronous irrigation events, and differential irrigation events, which comprehensively consider the area of the bladder secondary irrigation region, the relative position of the low-quality bladder irrigation region, and the bladder irrigation gap amount, ensuring the accuracy of the bladder irrigation compensation event. At the same time, the bladder irrigation quality distribution map is introduced to ensure the accuracy of the overall bladder irrigation quality and trigger the bladder irrigation compensation event, realizing the control of bladder irrigation quality.

[0108] At this time, the gap between the low-quality irrigation region and the preset threshold is quantified, providing a basis for the subsequent irrigation strategy; At this time, in the bladder irrigation quality distribution map, for each low-quality irrigation region, calculate the difference between its sub-irrigation quality and the preset bladder irrigation quality threshold, that is, the bladder irrigation gap amount.

[0109] Based on the irrigation gap amount and the location of the irrigation region, determine the specific region that needs secondary irrigation; At this time, comprehensively consider the size of the irrigation gap amount, the relative position of the low-quality irrigation region in the bladder, and the irrigation fluid diffusion effect, and determine the range of the bladder secondary irrigation region; According to the characteristics of the secondary irrigation region, formulate a specific irrigation compensation strategy; The operation is as follows: Local irrigation event: If the irrigation gap amount is small and concentrated in a specific region, local enhanced irrigation can be selected for the low-quality irrigation region; Synchronous irrigation event: If the irrigation gap amounts of multiple irrigation regions are all large, or considering the uniform distribution of the irrigation fluid in the bladder, synchronous enhanced irrigation of the entire bladder can be selected; Differentiated flushing event: Based on the flushing gap amount and location in each flushing area, formulate a differentiated flushing strategy, such as using different flushing intensities, flushing fluid types, or flushing times for different areas; When determining the flushing compensation event, it is also necessary to consider the area of the secondary flushing area, the relative position of the low-quality flushing area, the magnitude of the flushing gap amount, and the specific situation of the patient (such as bladder capacity, tolerance, etc.).

[0110] At this time, patient A received bladder flushing treatment for bladder stones; the preset bladder flushing quality threshold: 85 points; low-quality flushing areas: the left bladder wall (sub-flushing quality 70 points) and the bladder bottom (sub-flushing quality 75 points).

[0111] Flushing gap amount of the left bladder wall: 85 points - 70 points = 15 points; flushing gap amount of the bladder bottom: 85 points - 75 points = 10 points; Considering the magnitude and location of the flushing gap amount, it was decided to perform secondary flushing on the left bladder wall and the bottom; especially the left bladder wall, which requires key flushing due to its larger flushing gap amount; Determine the bladder flushing compensation event: Local flushing event: For the left bladder wall, use a high-pressure flushing fluid for local enhanced flushing to reduce the flushing gap amount; Differentiated flushing event: For the bladder bottom, considering its relatively small flushing gap amount and deep location, use a low-pressure but long-duration flushing method to ensure that the flushing fluid can fully reach and act on this area; When formulating the flushing compensation event, the bladder capacity and tolerance of patient A were also considered to ensure that the flushing strategy is both effective and safe; According to the analysis and decision in step S153, patient A received secondary flushing treatment for the left bladder wall and the bottom; the left bladder wall was locally flushed with high pressure, and the bottom was flushed with low pressure for a long time; After treatment, the bladder flushing quality distribution map showed that the sub-flushing quality of the left bladder wall and the bottom both improved, and the overall bladder flushing quality also reached above the preset threshold.

[0112] In an embodiment of the present application, a flushing compensation event matching table is collected, and the flushing compensation event matching table is shown in Table 4: Table 4 Flushing Compensation Event Matching Table Low-quality area: Identify the specific area where the flushing quality does not meet the standard; Flushing gap amount: The difference between the sub-flushing quality of this area and the preset threshold; Position description: The relative position of the low-quality area in the bladder; Secondary flushing area: The specific area that needs secondary flushing determined according to the flushing gap amount and position; Flushing compensation event: The flushing strategy formulated for the secondary flushing area, including local flushing, synchronous flushing, and differentiated flushing.

[0113] Please refer toFigure 7 , Figure 7 is a schematic structural diagram of the bladder irrigation quality control system based on dynamic monitoring in an embodiment of the present invention; the bladder irrigation quality control system based on dynamic monitoring includes: A bladder irrigation image module 21, configured to dynamically detect the bladder irrigation process of a patient and collect multiple bladder irrigation images of the patient at different time nodes; An irrigation parameter module 22, configured to determine multiple bladder irrigation regions based on the comparison of multiple bladder irrigation images, and mark corresponding multiple irrigation parameters for each bladder irrigation region, where the irrigation parameters include time parameters, irrigation modes, and irrigation intensities; A sub-irrigation quality module 23, configured to determine the sub-irrigation quality of a bladder irrigation region based on multiple irrigation parameters and the post-irrigation image of the bladder irrigation region in each bladder irrigation region; An overall bladder irrigation quality module 24, configured to determine a bladder irrigation quality distribution map of the patient based on multiple sub-irrigation qualities and the relative distances of multiple bladder irrigation regions, and determine the overall bladder irrigation quality based on the recognition of the bladder irrigation quality distribution map; A bladder irrigation compensation event module 25, configured to trigger a bladder irrigation compensation event based on the bladder irrigation quality distribution map if the overall bladder irrigation quality is lower than a preset bladder irrigation quality threshold.

[0114] For any combination of the technical features of the above embodiments, for the sake of brevity of description, not all combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this specification.

Claims

1. A method for quality control of bladder irrigation based on dynamic monitoring, characterized in that Comprising: Dynamically detecting the bladder irrigation process of a patient and collecting multiple bladder irrigation images of the patient at different time nodes; Determining multiple bladder irrigation regions based on the comparison of multiple bladder irrigation images, and marking corresponding multiple irrigation parameters for each bladder irrigation region, where the irrigation parameters include time parameters, irrigation modes, and irrigation intensities; In each bladder irrigation region, determining the sub-irrigation quality of the bladder irrigation region based on multiple irrigation parameters and the post-irrigation image of the bladder irrigation region; Determining the bladder irrigation quality distribution map of the patient based on the multiple sub-irrigation qualities and the relative distances of the multiple bladder irrigation regions, and determining the overall bladder irrigation quality based on the recognition of the bladder irrigation quality distribution map; If the overall bladder irrigation quality is lower than the preset bladder irrigation quality threshold, triggering a bladder irrigation compensation event based on the bladder irrigation quality distribution map.

2. The method for quality control of bladder irrigation based on dynamic monitoring according to claim 1, wherein, The dynamically detecting the bladder irrigation process of a patient and collecting multiple bladder irrigation images of the patient at different time nodes includes: Collecting the bladder irrigation position of the patient, determining the moving path of the bladder irrigation head based on the bladder irrigation position of the patient and the current position of the bladder irrigation head. At this time, the bladder irrigation head moves along this moving path, triggers corresponding irrigation at the bladder irrigation position of the patient, and a micro camera module is arranged on the periphery of the bladder irrigation head; When the bladder irrigation head irrigates the bladder, collecting the irrigation time of each irrigation of the bladder irrigation head and matching each irrigation time with the corresponding time node to form multiple different time nodes; The micro camera module triggers corresponding timed shootings based on multiple different time nodes and performs circular shootings after each irrigation of the bladder to capture multiple bladder irrigation images of the patient at different time nodes, and the multiple bladder irrigation images are marked with the corresponding time nodes.

3. The quality control method for bladder irrigation based on dynamic monitoring according to claim 1, wherein The determining multiple bladder irrigation regions based on the comparison of multiple bladder irrigation images and marking corresponding multiple irrigation parameters for each bladder irrigation region, where the irrigation parameters include time parameters, irrigation modes, and irrigation intensities, includes: Sequentially comparing multiple bladder irrigation images in the order of time nodes, and determining multiple bladder change positions based on the sequential comparison of multiple bladder irrigation images; Determining the corresponding bladder irrigation regions based on the tracing of multiple bladder change positions to obtain multiple bladder irrigation regions; In each bladder irrigation region, collecting the irrigation data set during the irrigation process of the bladder irrigation region, determining multiple irrigation parameters based on the screening of the irrigation data set, and marking the multiple irrigation parameters on the corresponding bladder irrigation region, where the multiple irrigation parameters are respectively time parameters, irrigation modes, and irrigation intensities.

4. The method for quality control of bladder irrigation based on dynamic monitoring according to claim 1, characterized in that, The determining the sub-irrigation quality of the bladder irrigation region based on multiple irrigation parameters and the post-irrigation image of the bladder irrigation region in each bladder irrigation region includes: Performing real-time detection on each bladder irrigation region, determining multiple irrigation combinations based on the multiple irrigation parameters of the bladder irrigation region, and determining multiple irrigation characteristics based on the recognition of the multiple irrigation combinations; Collect the post - irrigation image of the bladder irrigation area, and match multiple irrigation features to the post - irrigation image of the bladder irrigation area. At this time, the post - irrigation image of the bladder irrigation area presents the surface morphology of the bladder irrigation area and multiple irrigation features.

5. The method for quality control of bladder irrigation based on dynamic monitoring according to claim 4, wherein In each bladder irrigation area, determining the sub - irrigation quality of the bladder irrigation area based on multiple irrigation parameters and the post - irrigation image of the bladder irrigation area further includes: Determine the surface cleanliness parameter of the bladder irrigation area according to the surface morphology and multiple irrigation features of the bladder irrigation area, and determine the sub - irrigation quality of the bladder irrigation area according to the surface cleanliness parameter of the bladder irrigation area, the area of the bladder irrigation area, and the first irrigation quality mapping relationship.

6. The method for quality control of bladder irrigation based on dynamic monitoring according to claim 1, characterized in that, Determining the bladder irrigation quality distribution map of the patient based on multiple sub - irrigation qualities and the relative distances of multiple bladder irrigation areas, and determining the overall bladder irrigation quality according to the recognition of the bladder irrigation quality distribution map includes: Construct a corresponding coordinate system in the bladder, mark the position coordinates of multiple bladder irrigation areas, and determine the relative distances of multiple bladder irrigation areas according to the comparison of the position coordinates of multiple bladder irrigation areas; Mark the corresponding sub - irrigation quality for multiple bladder irrigation areas, and determine the bladder irrigation quality distribution map of the patient according to multiple sub - irrigation qualities, the position coordinates of multiple bladder irrigation areas, and the relative distances of multiple bladder irrigation areas.

7. The method for quality control of bladder irrigation based on dynamic monitoring according to claim 6, wherein Determining the bladder irrigation quality distribution map of the patient based on multiple sub - irrigation qualities and the relative distances of multiple bladder irrigation areas, and determining the overall bladder irrigation quality according to the recognition of the bladder irrigation quality distribution map further includes: In the bladder irrigation quality distribution map of the patient, collect two adjacent sub - irrigation qualities, determine the change amount of the sub - irrigation quality according to the two adjacent sub - irrigation qualities, and determine the overall bladder irrigation quality according to the relative distances of multiple bladder irrigation areas, the corresponding change amount of the sub - irrigation quality, the surface morphology of the bladder irrigation area, and the second irrigation quality mapping relationship.

8. The method for quality control of bladder irrigation based on dynamic monitoring according to claim 1, wherein, If the overall bladder irrigation quality is lower than the preset bladder irrigation quality threshold, triggering a bladder irrigation compensation event based on the bladder irrigation quality distribution map includes: Collect the preset bladder irrigation quality threshold, and compare the overall bladder irrigation quality with the preset bladder irrigation quality threshold; If the overall bladder irrigation quality is lower than the preset bladder irrigation quality threshold, then compare the sub - irrigation quality of each bladder irrigation area with the preset bladder irrigation quality threshold to determine multiple low - quality bladder irrigation areas, and the sub - irrigation quality of the low - quality bladder irrigation areas is less than the preset bladder irrigation quality threshold.

9. The method for quality control of bladder irrigation based on dynamic monitoring according to claim 8, wherein If the overall bladder irrigation quality is lower than the preset bladder irrigation quality threshold, triggering a bladder irrigation compensation event based on the bladder irrigation quality distribution map further includes: In the bladder irrigation quality distribution map, the bladder irrigation gap amount is determined by comparing the sub-bladder irrigation quality of the low-quality bladder irrigation area with a preset bladder irrigation quality threshold. Based on the bladder irrigation gap amount and the location of the low-quality bladder irrigation area, the secondary bladder irrigation area is determined. According to the area of the secondary bladder irrigation area, the relative position of the low-quality bladder irrigation area, and the bladder irrigation gap amount, a bladder irrigation compensation event is determined. The bladder irrigation compensation event includes a local irrigation event, a synchronous irrigation event, and a differential irrigation event.

10. A quality control system for bladder irrigation based on dynamic monitoring, characterized in that, The bladder irrigation quality control system based on dynamic monitoring is applied to the bladder irrigation quality control method based on dynamic monitoring as described in any one of claims 1-9. The bladder irrigation quality control system based on dynamic monitoring includes: A bladder irrigation image module for dynamically detecting the bladder irrigation process of a patient and collecting multiple bladder irrigation images of the patient at different time nodes; An irrigation parameter module for determining multiple bladder irrigation areas based on the comparison of multiple bladder irrigation images and marking corresponding multiple irrigation parameters for each bladder irrigation area. The irrigation parameters include time parameters, irrigation modes, and irrigation intensities; A sub-irrigation quality module for determining the sub-irrigation quality of a bladder irrigation area in each bladder irrigation area based on multiple irrigation parameters and the post-irrigation image of the bladder irrigation area; An overall bladder irrigation quality module for determining the bladder irrigation quality distribution map of a patient based on multiple sub-irrigation qualities and the relative distances of multiple bladder irrigation areas, and determining the overall bladder irrigation quality based on the recognition of the bladder irrigation quality distribution map; A bladder irrigation compensation event module for triggering a bladder irrigation compensation event based on the bladder irrigation quality distribution map if the overall bladder irrigation quality is lower than a preset bladder irrigation quality threshold.

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