A bladder irrigation quality control method and system based on dynamic monitoring

Abstract

The present invention discloses a bladder irrigation quality control method and system based on dynamic monitoring. The present invention relates to the technical field of bladder irrigation quality control methods. Multiple corresponding irrigation parameters are marked for each bladder irrigation area. In each bladder irrigation area, the sub-irrigation quality of the bladder irrigation area is determined based on the multiple irrigation parameters and the image of the bladder irrigation area after irrigation, thereby ensuring the sub-irrigation quality of each bladder irrigation area. Therefore, the patient's bladder irrigation quality distribution map is determined based on the relative distances between the multiple sub-irrigation qualities and the multiple bladder irrigation areas, and the overall bladder irrigation quality is determined based on the identification of the bladder irrigation quality distribution map; if the overall bladder irrigation quality is lower than the preset bladder irrigation quality threshold, a bladder irrigation compensation event is triggered based on the bladder irrigation quality distribution map, thereby ensuring the accuracy of the overall bladder irrigation quality and triggering the bladder irrigation compensation event, thereby achieving bladder irrigation quality control.

Description

Technical Field

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

[0002] With the development of technology, patients need to undergo bladder irrigation in the postoperative stage, and a bladder irrigation head is used to internally flush the bladder. In the existing technology, the bladder irrigation head flushes the bladder and performs a preliminary flush according to the preset time. The bladder irrigation quality is controlled only based on the flushing time dimension, and the differences in flushing quality of multiple bladder irrigation areas are not taken into account, resulting in low accuracy of the existing overall bladder irrigation quality. Summary of the Invention

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

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

[0005] An embodiment of the present invention provides a bladder irrigation quality control system based on dynamic monitoring. The bladder irrigation quality control system based on dynamic monitoring is applied to the above-mentioned bladder irrigation quality control method based on dynamic monitoring. The bladder irrigation quality control system based on dynamic monitoring includes:

[0006] The bladder washing image module is used to dynamically detect the patient's bladder washing process and collect multiple bladder washing images of the patient at different time points;

[0007] A flushing parameter module is used to determine multiple bladder flushing areas based on the comparison of multiple bladder flushing images, and mark multiple flushing parameters corresponding to each bladder flushing area, wherein the flushing parameters include time parameters, flushing mode and flushing intensity;

[0008] a sub-irrigation quality module, configured to determine, in each bladder irrigation area, a sub-irrigation quality of the bladder irrigation area based on a plurality of irrigation parameters and a post-irrigation image of the bladder irrigation area;

[0009] an overall bladder irrigation quality module, configured to determine a bladder irrigation quality distribution map of the patient based on the plurality of sub-irrigation qualities and relative distances of the plurality of bladder irrigation areas, and determine an overall bladder irrigation quality according to the identification of the bladder irrigation quality distribution map;

[0010] The bladder irrigation compensation event module is 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.

[0011] Compared with the prior art, the present invention has the following beneficial effects:

[0012] In an embodiment of the present invention, through the method in the embodiment of the present invention, corresponding multiple flushing parameters are marked for each bladder flushing area, and the flushing parameters include time parameters, flushing mode and flushing intensity; in each bladder flushing area, the sub-flush quality of the bladder flushing area is determined based on the multiple flushing parameters and the post-flush image of the bladder flushing area, and quality control of each bladder flushing area is introduced, thereby ensuring the sub-flush quality of each bladder flushing area, so as to facilitate subsequent control of the overall bladder flushing quality.

[0013] Therefore, the patient's bladder flushing quality distribution map is determined based on the relative distances between multiple sub-flush qualities and multiple bladder flushing areas, and the overall bladder flushing quality is determined based on the identification of the bladder flushing quality distribution map; 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. The bladder flushing quality distribution map is introduced to ensure the accuracy of the overall bladder flushing quality, trigger the bladder flushing compensation event, and realize bladder flushing quality control. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 is a flow chart of a method for controlling bladder irrigation quality based on dynamic monitoring in an embodiment of the present invention;

[0015] Figure 2 1 is a flow chart of step S11 in the bladder irrigation quality control method based on dynamic monitoring in an embodiment of the present invention;

[0016] Figure 3 1 is a flow chart of step S12 in the method for controlling bladder irrigation quality based on dynamic monitoring in an embodiment of the present invention;

[0017] Figure 4 1 is a flow chart of step S13 in the method for controlling bladder irrigation quality based on dynamic monitoring in an embodiment of the present invention;

[0018] Figure 5 1 is a flow chart of step S14 in the method for controlling bladder irrigation quality based on dynamic monitoring in an embodiment of the present invention;

[0019] Figure 6 1 is a flow chart of step S15 in the method for controlling bladder irrigation quality based on dynamic monitoring in an embodiment of the present invention;

[0020] Figure 7 Schematic diagram of the structure of a bladder irrigation quality control system based on dynamic monitoring in an embodiment of the present invention. DETAILED DESCRIPTION

[0021] The technical solutions in the embodiments of the present invention will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present invention.

[0022] See also Figures 1 to 7 A bladder irrigation quality control method based on dynamic monitoring includes:

[0023] Step S11: dynamically detecting the patient's bladder flushing process and collecting multiple bladder flushing images of the patient at different time points;

[0024] Step S12: determining a plurality of bladder irrigation areas based on comparison of the plurality of bladder irrigation images, and marking a plurality of corresponding irrigation parameters for each bladder irrigation area, the irrigation parameters including a time parameter, an irrigation mode, and an irrigation intensity;

[0025] Step S13: in each bladder irrigation area, determining the sub-irrigation quality of the bladder irrigation area based on a plurality of irrigation parameters and a post-irrigation image of the bladder irrigation area;

[0026] Step S14: determining a bladder irrigation quality distribution map of the patient based on the relative distances between the plurality of sub-irrigation qualities and the plurality of bladder irrigation areas, and determining an overall bladder irrigation quality according to the identification of the bladder irrigation quality distribution map;

[0027] Step S15: 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;

[0028] refer to Figure 2 ,In step S11, the bladder washing process of the patient is dynamically detected, and multiple bladder washing images of the patient at different time points are collected;

[0029] In the specific implementation process of the present invention, the specific steps are:

[0030] S111: Acquire the patient's bladder irrigation position, determine a movement path of the bladder irrigation head based on the patient's bladder irrigation position and the current position of the bladder irrigation head, and then move the bladder irrigation head along the movement path and trigger a corresponding irrigation at the patient's bladder irrigation position. At the same time, a miniature camera module is configured around the bladder irrigation head;

[0031] S112: When the bladder flushing head flushes the bladder, collecting each flushing time of the bladder flushing head, and matching each flushing time with a corresponding time node to form multiple different time nodes;

[0032] S113: The micro camera module triggers corresponding timed shooting based on multiple different time nodes, and performs circular shooting after each bladder flushing to capture multiple bladder flushing images of the patient at different time nodes, and the multiple bladder flushing images are marked with corresponding time nodes.

[0033] In an embodiment of the present application, the patient's bladder flushing position is collected, and the moving path of the bladder flushing head is determined based on the patient's bladder flushing position and the current position of the bladder flushing head. At this time, the bladder flushing head moves along the moving path and triggers corresponding flushing at the patient's bladder flushing position. At the same time, a miniature camera module is configured on the peripheral side of the bladder flushing head, which is compatible with the overall consideration of the patient's bladder flushing position and the current position of the bladder flushing head, thereby ensuring the accuracy of the moving path of the bladder flushing head.

[0034] At this point, the patient's bladder flushing position is captured, and the bladder area that needs to be flushed is determined, providing a target position for subsequent movement and flushing of the flushing head. Optionally, medical imaging technology (such as ultrasound imaging) is used to obtain the patient's bladder image. Image analysis software is used to identify the bladder outline and the area that needs to be flushed. The identified area is converted into coordinate data as the bladder flushing position. The movement trajectory of the flushing head from the current position to the target flushing position is planned. At this point, based on the bladder flushing position and the current position of the flushing head, a path planning algorithm (such as the A* algorithm, the Dijkstra algorithm, etc.) is used to calculate the shortest or optimal path. The path is adjusted to avoid damage to the bladder, taking into account the anatomical structure of the bladder and the physical limitations of the flushing head (such as diameter, bending angle, etc.).

[0035] The bladder flushing head can accurately reach the target flushing position. At this time, the flushing head is driven to move along the planned path; the position and posture of the flushing head are monitored in real time through sensors (such as position sensors, angle sensors, etc.); according to the monitoring results, the parameters of the drive system are adjusted to ensure that the flushing head can accurately reach the target position; at the same time, after reaching the target flushing position, the flushing operation is started; when the flushing head reaches the target position, the flushing operation is triggered through the control system; the flushing operation includes opening the flushing liquid valve, adjusting the flow rate and pressure of the flushing liquid, etc.

[0036] During the flushing process, images of the interior of the bladder are captured in real time for subsequent analysis and evaluation of the flushing effect. At this time, a miniature camera module (such as a miniature camera, infrared imager, etc.) is installed on the side of the flushing head. The camera module should have high resolution and a wide-angle field of view to capture the details of the interior of the bladder. The camera module should be connected to the control system to transmit image data in real time during the flushing process.

[0037] Specifically, suppose a patient needs bladder irrigation treatment; first, the doctor uses ultrasound imaging equipment to obtain the patient's bladder image and identifies the area that needs to be flushed (such as the bottom of the bladder) through image analysis software; then, the doctor converts the identified area into coordinate data and inputs it into the bladder irrigation device; next, the bladder irrigation device uses a path planning algorithm to calculate the optimal movement path based on the input coordinate data and the current position of the irrigation head; the irrigation head moves along the path and triggers the flushing operation when it reaches the target position (the bottom of the bladder); during the flushing process, the micro camera module configured on the side 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 image during the flushing process in real time through the control system for subsequent analysis and evaluation of the flushing effect.

[0038] Furthermore, when the bladder flushing head flushes the bladder, each flushing time of the bladder flushing head is collected, and each flushing time is matched with a corresponding time node to form multiple different time nodes, thereby introducing multiple different time nodes.

[0039] At this time, the duration of each flushing operation is recorded for subsequent analysis and evaluation of the flushing effect; at this time, when the flushing head starts flushing, the current time is recorded as the flushing start time through the control system or sensor; when the flushing head stops flushing, the current time is also recorded as the flushing end time through the control system or sensor; the difference between the flushing start time and the flushing end time is calculated to obtain the duration of each flushing.

[0040] Associate flushing time with specific time nodes so that flushing effects at different time points can be tracked 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 flushing operation, classify it to the closest time node based on its start time or end time. During the classification process, retain the precise value of the flushing time so that more detailed analysis can be performed when needed.

[0041] By matching multiple flushing operations with time nodes, a time series is constructed to analyze the changing trend of flushing effects over time. At the same time, the above two steps are repeated until all flushing operations are classified into corresponding time nodes; all time nodes are arranged in chronological order to form a time series; in the time series, each time node corresponds to the duration of one or more flushing operations, and these durations are used for subsequent analysis and evaluation.

[0042] Specifically, suppose a patient is undergoing bladder irrigation treatment, and the irrigation head performs a flushing operation every 5 minutes; during the flushing process, the control system will record the start time and end time of each flush; for example, during the first flush, the control system records the start time as 9:00 a.m. and the end time as 9:02 a.m., so the duration of this flush is 2 minutes; similarly, during the second flush, the recorded start time is 9:05 a.m. and the end time is 9:07 a.m., with a duration of 2 minutes; and so on, the duration of each flush will be recorded.

[0043] Next, the control system matches these flushing times to corresponding time nodes; in this example, the time nodes are set to one every 5 minutes (i.e., 9:00 a.m., 9:05 a.m., 9:10 a.m., etc.); therefore, the first flush is classified as the time node at 9:00 a.m., the second flush is classified as the time node at 9:05 a.m., and so on; ultimately, the control system will form a time series, in which each time node corresponds to the duration of one or more flushing operations. This time series is used for subsequent analysis and evaluation, such as comparing the flushing effects at different time points and analyzing the changing trends of the flushing effects over time.

[0044] Therefore, the micro camera module triggers corresponding timed shooting based on multiple different time nodes, and performs circular shooting after each bladder flushing to capture multiple bladder flushing images of the patient at different time nodes. Multiple bladder flushing images mark the corresponding time nodes, and multiple bladder flushing images are introduced to realize the subsequent management and control of multiple bladder flushing images.

[0045] At this time, the camera module is automatically triggered to shoot at a specific time point to capture images of the bladder at different flushing stages; at this time, a series of time nodes are pre-set, which represent key time points or moments that need to be recorded during the flushing process; the micro camera module has a built-in timer or receives a signal from the control system, and automatically triggers the shooting function when the preset time node is reached; ensure that the triggering mechanism of the camera module is coordinated with the timing of the flushing operation so that shooting can be performed immediately after the flushing operation.

[0046] Obtain all-around images of the interior of the bladder to fully evaluate the flushing effect. At this time, the mechanical structure of the camera module is designed so that it can rotate around the interior of the bladder to shoot after the flushing head stops flushing. The rotation angle and speed of the camera module are precisely controlled by the control system to ensure that every corner of the bladder is captured. Panoramic shooting technology or image stitching technology is used to combine multiple local images into a complete image of the interior of the bladder.

[0047] Record the status of the bladder at different flushing stages and at 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; timestamp each image data so that images at different time points can be tracked and compared in subsequent analysis.

[0048] Associating image data with its shooting time facilitates subsequent time series analysis and evaluation. At this time, while saving the image data, its corresponding time node information is recorded. Create a database or data table to store the image data and time node information in the form of key-value pairs. During subsequent analysis and evaluation, quickly find the image data at a specific time point by querying the database or data table.

[0049] Specifically, suppose a patient is undergoing bladder irrigation treatment, and five time nodes are preset for shooting during the treatment: before the start of the irrigation, when the irrigation is 1 / 3, when the irrigation is 2 / 3, before the end of the irrigation, and after the end of the irrigation; the micro camera module is installed on the irrigation head and has the ability to shoot in a circular manner; before the irrigation starts, the camera module automatically triggers the shooting at the preset time node to capture the initial state image of the bladder; then, the irrigation operation starts, and the irrigation fluid enters the bladder through the irrigation head; when the irrigation is 1 / 3, the camera module triggers the shooting again to capture the image of the inside of the bladder at this time; similarly, when the irrigation is 2 / 3 and before the end of the irrigation, the camera module also shoots respectively.

[0050] After the flushing is completed, the camera module starts the circular shooting function, rotating around the inside of the bladder to capture all-round images of the inside of the bladder. These images show the cleanliness and residue content of the inside of the bladder after flushing.

[0051] In one embodiment of the present application, a preset captured image matching table is collected, and the captured image matching table is shown in Table 1:

[0052] Table 1. Shot image matching table

[0053]

[0054] In this captured image matching table, each row represents a time node and its corresponding captured image information; the time nodes (such as T1, T2, T3, etc.) are preset and used to trigger the camera module's timed shooting; the captured 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 development, since multiple images are generated (such as image_T5_1.jpg, image_T5_2.jpg, etc.), these images are listed as a collection.

[0055] refer to Figure 3 In step S12, multiple bladder irrigation areas are determined based on the comparison of multiple bladder irrigation images, and multiple corresponding irrigation parameters are marked for each bladder irrigation area. The irrigation parameters include time parameters, irrigation mode, and irrigation intensity.

[0056] In the specific implementation process of the present invention, the specific steps are:

[0057] S121: sequentially comparing the multiple bladder washout images according to the order of time nodes, and determining multiple bladder change locations based on the sequential comparison of the multiple bladder washout images;

[0058] S122: determining corresponding bladder flushing areas based on tracing back the multiple bladder change positions to obtain multiple bladder flushing areas;

[0059] S123: In each bladder irrigation area, a set of irrigation data of the bladder irrigation area during the irrigation process is collected, and a plurality of irrigation parameters are determined based on the screening of the irrigation data set, and the plurality of irrigation parameters are marked on the corresponding bladder irrigation area, wherein the plurality of irrigation parameters are a time parameter, an irrigation mode, and an irrigation intensity;

[0060] In an embodiment of the present application, multiple bladder washout images are sequentially compared according to the order of time nodes, and multiple bladder change positions are determined based on the sequential comparison of the multiple bladder washout images, thereby ensuring the accuracy of the multiple bladder change positions.

[0061] At this point, multiple bladder flushing images are compared in sequence according to the time nodes, and multiple bladder change locations are determined based on the sequential comparison of multiple bladder flushing images. The core of this step is to identify the change locations inside the bladder during the flushing process by comparing bladder flushing images at different time nodes. This usually involves image processing and computer vision technologies, such as feature extraction, image registration, and difference analysis.

[0062] First, all bladder washout images are sorted in the order of time nodes, which ensures that the comparison is performed in a time series and can reflect the dynamic changes of the washout process; before the comparison, the images need to be preprocessed, such as denoising, contrast enhancement, and standardization, to improve the accuracy and reliability of the comparison.

[0063] Image processing algorithms are used to extract key features from each image. These features are edges, textures, colors, etc., which can reflect the structure and changes inside the bladder. Images at adjacent time nodes are registered, that is, aligned so that changes at the same location can be directly compared. This usually involves operations such as translation, rotation, and scaling of the image. The registered images are compared and the differences between them are calculated, which is achieved through pixel differences, feature differences, or more advanced image similarity metrics. Based on the results of the difference analysis, the locations where significant changes have occurred inside the bladder are determined. These locations are areas with reduced residue, improved cleanliness, or changes in bladder wall morphology.

[0064] Specifically, assume that during a bladder irrigation treatment, images at the following four time points (T1, T2, T3, T4) are taken: T1: bladder image before irrigation, showing obvious residues and sediments inside the bladder; T2: image when irrigation is halfway through, showing that some residues have been washed away, but some residues still remain; T3: image when irrigation is about to end, showing that most of the bladder has been cleaned, but there is still a small amount of residue at the bottom of the bladder; T4: image after irrigation, showing that the bladder is completely clean with no residues; according to step S121, The researchers performed comparative analysis in the following steps: sorting T1, T2, T3, and T4 in chronological order; performing denoising and contrast enhancement on each image; extracting edge and texture features from each image; registering T1 with T2, T2 with T3, and T3 with T4; and performing difference analysis: comparing T1 with T2, it was found that the residue inside the bladder was reduced, especially in the upper part of the bladder; comparing T2 with T3, it was found that the residue in the middle part of the bladder was further reduced, but there was still residue at the bottom; comparing T3 with T4, it was found that the residue at the bottom of the bladder was completely washed away, and the inside of the bladder was completely clean.

[0065] Determining the location of changes: The upper, middle, and bottom parts of the bladder are identified as locations where significant changes occur. In particular, the bottom part of the bladder undergoes a change from having obvious residue to being completely clean during the flushing process. Through this example, we can see how step S121 determines the changing location of the interior of the bladder during the flushing process by comparing and analyzing bladder flushing images at different time points. This information is important for subsequent analysis of flushing effects, optimization of flushing strategies, and assessment of bladder health.

[0066] Furthermore, corresponding bladder flushing areas are determined based on the tracing of multiple bladder change positions to obtain multiple bladder flushing areas. Multiple bladder flushing areas are introduced to achieve control of the bladder flushing areas.

[0067] At this time, the corresponding bladder flushing areas are determined based on the tracing of multiple bladder change positions to obtain multiple bladder flushing areas; the core of this step is to further infer the bladder flushing areas corresponding to these changes based on the internal bladder change positions determined in step S121, which usually involves an understanding of the anatomical structure of the bladder and a comprehensive analysis of the dynamic changes inside the bladder during the flushing process.

[0068] Review all bladder change locations identified in step S121, which reflect the dynamic changes inside the bladder during the flushing process; be familiar with the anatomical structure of the bladder, including important parts such as the bladder wall, bladder trigone, and ureteral opening, which will help understand the correspondence between the change locations and specific areas of the bladder; combine the parameters of the flushing process (such as flushing fluid flow, pressure, flushing time, etc.) to analyze how these parameters affect changes inside the bladder.

[0069] Based on the spatial distribution of the change position, the bladder anatomical structure, and the analysis of the flushing process, the corresponding bladder flushing areas are inferred. These areas are the parts of the bladder that are directly affected or undergo significant changes during the flushing process. After the flushing areas are inferred, the boundaries of these areas need to be further determined. This is achieved by analyzing the continuity of the change position, the morphological changes of the bladder wall, and the flow pattern of the flushing fluid in the bladder. The inferred flushing areas are marked for subsequent analysis and evaluation. This is achieved by drawing boundaries on the image and recording regional information in a data table.

[0070] Specifically, assuming that in step S121, several change positions inside the bladder have been determined, which are mainly distributed at the bottom, side and back wall of the bladder; now, the corresponding bladder flushing area will be inferred based on this information.

[0071] Looking back at the locations of the changes identified, we found that they were mainly concentrated in the bottom, sides and back wall of the bladder; being familiar with the anatomical structure of the bladder, we knew that the bottom of the bladder is the main area for urine storage, while the sides and back wall are related to the expansion and contraction of the bladder; combining the parameters during the flushing process, we found that the flushing fluid flow and pressure remained constant during the flushing process, but the flushing time was different, which affected the flushing effect of different areas inside the bladder.

[0072] Based on the spatial distribution of the changed position and the anatomical structure of the bladder, the bladder fundus is inferred to be the main flushing area because the residue here is significantly reduced during the flushing process; at the same time, the sides and back walls are also inferred to be flushing areas because the bladder wall morphology here changes during the flushing process; by analyzing the continuity of the changed position and the morphological changes of the bladder wall, the flushing area boundaries of the bladder fundus, sides and back walls are determined. These boundaries are clearly visible on the image and are consistent with the anatomical structure of the bladder; the flushing area boundaries of the bladder fundus, sides and back walls are drawn on the image, and the information of these areas is recorded in the data table, which provides an important basis for subsequent analysis and evaluation; through this example, we can see how step S122 determines the corresponding bladder flushing area by comprehensively analyzing the changed position, anatomical structure and flushing process inside the bladder. This information is of great significance for optimizing flushing strategies, evaluating flushing effects and guiding subsequent treatment.

[0073] Therefore, in each bladder flushing area, a flushing data set of the bladder flushing area during the flushing process is collected, and multiple flushing parameters are determined based on the screening of the flushing data set, and the multiple flushing parameters are marked in the corresponding bladder flushing area. The multiple flushing parameters are time parameters, flushing mode and flushing intensity.

[0074] At this time, in each bladder flushing area, a flushing data set of the bladder flushing area during the flushing process is collected, and multiple flushing parameters are determined based on the screening of the flushing data set, and the multiple flushing parameters are marked in the corresponding bladder flushing area. These flushing parameters include time parameters (such as flushing duration), flushing mode (such as continuous flushing, intermittent flushing, etc.) and flushing intensity (such as flushing liquid flow, pressure, etc.); the core of this step is to further collect and analyze the data of these areas during the flushing process based on the bladder change position and flushing area determined in steps S121 and S122 to determine the key flushing parameters. These parameters are crucial for optimizing flushing strategies, improving flushing effects and ensuring patient safety.

[0075] In each bladder flushing area, appropriate sensors or monitoring equipment are used to collect data during the flushing process, including the flow rate, pressure, temperature, flushing time, etc. of the flushing fluid; ensure the accuracy and completeness of data collection for subsequent analysis and determination of flushing parameters; screen and process the collected flushing data set to remove outliers, noise and redundant information; use statistical analysis, data mining or machine learning methods to extract key data features closely related to the flushing effect.

[0076] Based on the screened and processed data, determine the key flushing parameters for each flushing area. These parameters include flushing duration, flushing mode (continuous flushing, intermittent flushing, etc.) and flushing intensity (fluid flow, pressure, etc.). The determination of flushing parameters should be based on clinical experience and data support to ensure their effectiveness and safety. Mark the determined flushing parameters on the corresponding bladder flushing area.

[0077] Specifically, assume that in steps S121 and S122, the bottom and sides of the bladder have been determined as the main flushing areas, and data of these areas during the flushing process have been collected; now, the flushing parameters will be determined based on these data; in the bottom and side areas of the bladder, flow sensors and pressure sensors are used to collect flow and pressure data of the flushing fluid; at the same time, the start time and end time of the flushing are recorded to calculate the flushing duration; the collected flow and pressure data are screened to remove outliers caused by equipment failure or improper operation; and statistical analysis methods are used to calculate the average flow, maximum pressure and average flushing duration of each flushing area.

[0078] Flushing parameter determination: Based on the screened and processed data, the flushing parameters for the bladder fundus were determined as follows: flushing duration of 10 minutes, intermittent flushing mode (flushing for 2 minutes and resting for 1 minute every 2 minutes), flushing intensity of 200 ml / min, and pressure of 20 kPa; the flushing parameters for the bladder sides were determined as follows: flushing duration of 8 minutes, continuous flushing mode, flushing intensity of 150 ml / min, and pressure of 15 kPa. These parameters were determined taking into account factors such as flushing effect, patient tolerance, and equipment limitations; the flushing areas of the bladder fundus and sides were marked on the image, and the corresponding flushing parameters were recorded next to them; the corresponding parameter values ​​were set on the control panel of the flushing device to ensure that the flushing process could be carried out according to the predetermined parameters.

[0079] In one embodiment of the present application, a bladder flushing area and flushing parameter matching table is collected, and the bladder flushing area and flushing parameter matching table is shown in Table 2:

[0080] Table 2. Matching table of bladder irrigation area and irrigation parameters

[0081]

[0082] In this bladder irrigation area and irrigation parameter matching table, specific irrigation parameters are specified for each bladder irrigation area; for example, the irrigation duration of the bladder fundus is 15 minutes, with an intermittent irrigation mode (2 minutes of irrigation and 1 minute of rest), and the irrigation intensity is 250 ml / min of flow rate and 25 kPa of pressure.

[0083] refer to Figure 4In step S13, in each bladder irrigation area, 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;

[0084] In the specific implementation process of the present invention, the specific steps are:

[0085] S131: performing real-time detection on each bladder irrigation area, determining multiple irrigation combinations based on multiple irrigation parameters of the bladder irrigation area, and determining multiple irrigation features based on the identification of the multiple irrigation combinations;

[0086] S132: Acquire a post-washing image of the bladder washing area, and match multiple washing features to the post-washing image of the bladder washing area. At this time, the post-washing image of the bladder washing area presents the surface morphology and multiple washing features of the bladder washing area.

[0087] S133: Determine a surface clean parameter of the bladder flushing area according to the surface morphology and multiple flushing features of the bladder flushing area, and determine a sub-flush quality of the bladder flushing area according to a mapping relationship between the surface clean parameter of the bladder flushing area, the area of ​​the bladder flushing area, and the first flushing quality.

[0088] In an embodiment of the present application, each bladder flushing area is detected in real time, multiple flushing combinations are determined based on multiple flushing parameters of the bladder flushing area, and multiple flushing features are determined based on the identification of the multiple flushing combinations, thereby ensuring the accuracy of the multiple flushing features.

[0089] At this point, each bladder flushing area is detected in real time, and multiple flushing combinations are determined based on multiple flushing parameters of these areas; then, these flushing combinations are identified and key flushing features are extracted from them for subsequent analysis and optimization of flushing strategies.

[0090] Use appropriate monitoring equipment or sensors to collect real-time data from the bladder irrigation area, including key parameters such as the flow rate of the irrigation fluid, irrigation pattern, irrigation intensity, and irrigation time; ensure the accuracy and real-time nature of the data for subsequent analysis and decision-making.

[0091] Based on the real-time detection data and the preset flushing parameter range (such as flow range, flushing intensity range, flushing time range, etc.), multiple flushing combinations are generated; at this time, permutations and combinations, optimization algorithms or empirical rules are used to generate flushing combinations; the number depends on the parameter range and generation method, ranging from a few to hundreds.

[0092] Each generated flushing combination is uniquely identified for subsequent tracking and analysis. Based on flushing combination data and clinical experience, key flushing features are extracted, including flushing efficiency, residual clearance rate, bladder wall irritation level, flushing fluid consumption, etc. The extracted features are quantified for subsequent comparison and analysis.

[0093] Specifically, assume there is a bladder flushing system that monitors the flushing parameters of two bladder flushing areas (area A and area B) in real time; uses a flow sensor and a flushing force sensor to monitor the flushing fluid flow and flushing force of area A and area B in real time; and at the same time, records the start time and end time of the flushing to calculate the flushing time.

[0094] Assuming that the preset flow range is 150-300ml / min, the flushing force range is 15-30kPa, and the time range is 5-20 minutes; for area A, the following three flushing combinations are generated: Combination 1: flow rate 200ml / min, flushing force 20kPa, time 10 minutes; Combination 2: flow rate 250ml / min, flushing force 25kPa, time 15 minutes; Combination 3: flow rate 300ml / min, flushing force 30kPa, time 20 minutes; for area B, similar flushing combinations are also generated.

[0095] A unique identifier was assigned to each flushing combination, such as "A1", "A2", and "A3" representing the three combinations of area A, and "B1", "B2", and "B3" representing the three combinations of area B. Based on historical data and clinical experience, the following flushing characteristics were extracted: flushing efficiency: evaluated by comparing the amount of residual before and after flushing; residual clearance: the percentage reduction of residual after flushing; bladder wall irritation: evaluated by monitoring the physiological response of the bladder wall; flushing fluid consumption: the total amount of flushing fluid consumed during the flushing process. These characteristics were quantified, for example, flushing efficiency was expressed as "high", "medium", and "low", residual clearance was expressed as a percentage, bladder wall irritation was expressed as "mild", "moderate", and "severe", and flushing fluid consumption was expressed in milliliters.

[0096] Furthermore, a post-washing image of the bladder washing area is collected, and a plurality of washing features are matched to the post-washing image of the bladder washing area. In this case, the post-washing image of the bladder washing area presents the surface morphology and the plurality of washing features of the bladder washing area.

[0097] At this point, collect the post-wash image of the bladder wash area, and select features related to the image content and important for the evaluation of the wash effect from the previously determined wash features; at this point, match the selected wash features to the post-wash image in an appropriate manner (such as labeling, color coding, superimposed information layer, etc.); ensure that the match between the features and the image is accurate to ensure the accuracy of subsequent analysis and evaluation.

[0098] Specifically, there is a bladder lavage patient who has completed the lavage combination determined in step S131 and collected a post-lavage image; the following is the application of step S132 in actual operation: the patient was examined using a cystoscope, and a post-lavage image of the bladder bottom was collected; the image showed that the surface of the bladder bottom was smooth, but there were some tiny spots of residue.

[0099] In step S131, several key flushing features have been identified, including flushing efficiency, residue clearance rate, bladder wall irritation degree and flushing fluid consumption; for this post-flushing image, the two features of "residue clearance rate" and "bladder wall irritation degree" were selected for matching; color coding is used on the image to indicate the residue clearance rate: green indicates a high clearance rate (few residues), and red indicates a low clearance rate (more residues); in this image, most areas appear green, but several spots appear red, indicating that the residue clearance rates in these areas are low; for the bladder wall irritation degree, a brief text description is added next to the image: "The bladder wall irritation degree is mild, and no obvious inflammatory response is observed;" through step S132, the flushing features are successfully matched to the post-flushing image, so that the image not only shows the surface morphology of the bladder flushing area, but also reflects its flushing characteristics.

[0100] Therefore, the surface clean parameters of the bladder flushing area are determined according to the surface morphology and multiple flushing characteristics of the bladder flushing area, and the sub-flush quality of the bladder flushing area is determined according to the surface clean parameters of the bladder flushing area, the regional area of ​​the bladder flushing area and the first flushing quality mapping relationship. This is compatible with the overall consideration of the surface clean parameters of the bladder flushing area, the regional area of ​​the bladder flushing area and the first flushing quality mapping relationship, ensuring the accuracy of the sub-flush quality of the bladder flushing area. At the same time, quality control of each bladder flushing area is introduced, thereby ensuring the sub-flush quality of each bladder flushing area, so as to facilitate subsequent control of the overall bladder flushing quality.

[0101] At this time, the surface clean parameters of the bladder flushing area are determined based on the surface morphology and multiple flushing characteristics of the area; then, the sub-flush quality of the area is calculated based on the area of ​​the area and the preset first flushing quality mapping relationship. This step is crucial for evaluating the flushing effect, optimizing the flushing strategy, and ensuring patient safety.

[0102] Carefully review the post-washing images and analyze the surface morphology of the bladder wash area (such as smoothness, residue distribution, etc.) and previously determined wash characteristics (such as wash efficiency, residue removal rate, etc.); based on the analysis results, define one or more quantitative indicators as surface cleanliness parameters, which should be able to objectively and accurately reflect the cleanliness of the wash area.

[0103] Use appropriate measurement methods (such as area measurement tools in medical imaging software) to determine the area of ​​the bladder irrigation region; convert the surface clean parameters and regional area into sub-irrigation quality based on a preset first-irrigation quality mapping relationship (a mathematical model, lookup table, or empirical formula). This mapping relationship should be established based on a large amount of clinical data, experimental results, or expert opinions; substitute the surface clean parameters and regional area into the mapping relationship to calculate the sub-irrigation quality of the area; sub-irrigation quality is a quantitative indicator used to evaluate the effectiveness of irrigation.

[0104] Specifically, assume that there is a patient who has undergone bladder irrigation and has completed the matching of the irrigation features and the post-irrigation image in step S132; after carefully examining the post-irrigation image of the bladder bottom, it is found that the surface is smooth with only a few tiny spots of residue; the previously determined irrigation features include the residue clearance rate and the degree of bladder wall irritation; in this image, the residue clearance rate is very high (over 95%) and the degree of bladder wall irritation is mild; therefore, "residue clearance rate" is defined as a surface clean parameter and quantified as 96% (based on image analysis and calculation of the residue clearance rate).

[0105] The area of ​​the bladder fundus was measured using medical imaging software and obtained to be 30 square centimeters. There is a preset first flushing quality mapping relationship, which is a mathematical model based on clinical data. The model uses the residual clearance rate and regional area as input variables and outputs the sub-flush quality. The residual clearance rate of 96% and the regional area of ​​30 square centimeters were substituted into the model, and the sub-flush quality was calculated to be 98% (indicating that the flushing effect is very good and close to perfect). Through step S133, the surface clean parameters were successfully determined based on the surface morphology and flushing characteristics of the bladder flushing area, and the sub-flush quality was calculated by combining the regional area and flushing quality mapping relationship.

[0106] In one embodiment of the present application, the post-rinsing image is analyzed and combined with irrigation characteristics (such as the residue clearance rate and the degree of bladder wall irritation) to determine one or more surface cleanliness parameters. Based on clinical data or experimental results, a sub-rinsing quality level matching table is created to associate the surface cleanliness parameters, the area, and the sub-rinsing quality. The sub-rinsing quality level matching table is shown in Table 3:

[0107] Table 3 Sub-flushing quality level matching table

[0108]

[0109] Assume that the residual removal rate of the bladder irrigation area is 96% and the area is 40 square centimeters. According to the sub-washing quality grade matching table, the sub-washing quality grade of this area is "excellent".

[0110] refer to Figure 5 In step S14, a bladder irrigation quality distribution map of the patient is determined based on the relative distances between the plurality of sub-irrigation qualities and the plurality of bladder irrigation areas, and an overall bladder irrigation quality is determined based on the identification of the bladder irrigation quality distribution map;

[0111] In the specific implementation process of the present invention, the specific steps are:

[0112] S141: constructing a corresponding coordinate system in the bladder, marking the position coordinates of multiple bladder flushing areas, and determining relative distances between the multiple bladder flushing areas based on comparison of the position coordinates of the multiple bladder flushing areas;

[0113] S142: Marking corresponding sub-flushing masses for the plurality of bladder flushing regions, and determining a bladder flushing mass distribution map for the patient based on the plurality of sub-flushing masses, the position coordinates of the plurality of bladder flushing regions, and the relative distances between the plurality of bladder flushing regions;

[0114] S143: In the patient's bladder flushing quality distribution map, two adjacent sub-flush masses are collected, and the change in sub-flush mass is determined based on the two adjacent sub-flush masses, and the overall bladder flushing quality is determined based on the relative distances of multiple bladder flushing areas, the corresponding changes in sub-flush masses, the surface morphology of the bladder flushing area and the second flushing quality mapping relationship.

[0115] In an embodiment of the present application, a corresponding coordinate system is constructed in the bladder, and the position coordinates of multiple bladder flushing areas are marked. The relative distances of the multiple bladder flushing areas are determined based on the comparison of the position coordinates of the multiple bladder flushing areas, thereby ensuring the accuracy of the relative distances of the multiple bladder flushing areas.

[0116] At this point, one or more fixed reference points are selected in the bladder as the origin or reference of the coordinate system. These reference points are a clear anatomical location of the bladder, such as the bottom, top or side of the bladder. According to the morphology and anatomical structure of the bladder, three mutually perpendicular coordinate axes (X, Y, and Z axes) are determined. These coordinate axes should accurately reflect the spatial position and morphology of the bladder. The reference points and coordinate axes are combined to construct a complete three-dimensional coordinate system, which will be used to mark and locate the various flushing areas in the bladder.

[0117] Using medical imaging techniques (such as CT, MRI, or cystoscopy), multiple flushing areas within the bladder are identified. These areas are predefined based on the flushing strategy and determined based on the morphology and characteristics of the bladder after flushing. In the constructed coordinate system, the position coordinates of the center or representative point of each flushing area are measured. These coordinates are usually expressed as X, Y, and Z values ​​in three-dimensional space.

[0118] Using position coordinates, the straight-line distance or Euclidean distance in three-dimensional space between any two irrigation areas is calculated. These distances reflect the relative position and distribution of the irrigation areas within the bladder. By analyzing the relative distances, the spatial relationship between the irrigation areas can be understood, such as whether they are closely adjacent or whether there are large gaps. This information is important for evaluating irrigation effects, identifying potential problem areas, and optimizing irrigation strategies.

[0119] Specifically, suppose a patient undergoing bladder irrigation has completed a medical imaging examination of the bladder. The base of the bladder is selected as the origin of the coordinate system (0,0,0). The X axis is determined to be the front-to-back direction of the bladder, the Y axis is the left-to-right direction, and the Z axis is the up-down direction. A three-dimensional coordinate system is constructed with the base of the bladder as the origin and the X, Y, and Z axes as the reference.

[0120] Through medical imaging examination, three flushing areas in the bladder were identified: area A, area B and area C; in the constructed coordinate system, the position coordinates of area A were measured to be (10, 15, 20), the position coordinates of area B were (20, 25, 15), and the position coordinates of area C were (5, 5, 30); the relative distance between area A and area B was calculated to be √((20-10)²+(25-15)²+(15-20)²)=√(100+100+25)=√225=15 (cm); similarly, the relative distances between area A and area C, and area B and area C were calculated; by analyzing these distance information, it was found that area A and area B were relatively close, while area C was a certain distance away from them, which suggests that special attention should be paid to the flushing effect of area C during flushing. Through the analysis of step S141, the coordinate system within the bladder was successfully constructed, and the position coordinates of multiple bladder irrigation areas were marked; at the same time, the relative distances between these areas were calculated, providing basic data for subsequent bladder irrigation quality analysis. This information helps doctors to have a more comprehensive understanding of the effect and distribution of bladder irrigation, thereby formulating more reasonable irrigation strategies and optimization plans.

[0121] Furthermore, the sub-flush masses corresponding to the multiple bladder flushing area marks are determined, and the patient's bladder flushing quality distribution map is determined based on the multiple sub-flush masses, the position coordinates of the multiple bladder flushing areas, and the relative distances of the multiple bladder flushing areas. This is compatible with the overall consideration of the multiple sub-flush masses, the position coordinates of the multiple bladder flushing areas, and the relative distances of the multiple bladder flushing areas, thereby ensuring the accuracy of the patient's bladder flushing quality distribution map.

[0122] At this point, the sub-washing quality of the multiple bladder irrigation areas previously marked is evaluated, and the location coordinates and relative distance information of these areas are combined to generate the patient's bladder irrigation quality distribution map. This step is crucial for fully understanding the patient's bladder irrigation status, identifying potential problem areas, and formulating targeted irrigation strategies.

[0123] Collect flushing data about each flushing area, including the amount of flushing fluid used, flushing time, amount of residue after flushing, etc.; based on the flushing data and preset flushing quality assessment criteria (such as residual clearance rate, degree of bladder wall irritation, etc.), perform a sub-flushing quality assessment of each flushing area; the assessment results are usually expressed in the form of grades (such as excellent, good, moderate, poor) or numerical values ​​(such as scores, percentages, etc.).

[0124] From the previous steps, the position coordinates of each flushing area have been obtained. These coordinates are the basis for constructing the bladder flushing quality distribution map. At the same time, the relative distances between the flushing areas are also known. This information helps to accurately reflect the spatial relationship and distribution characteristics of the flushing areas in the distribution map.

[0125] Based on actual needs, appropriate visualization tools (such as medical image processing software, geographic information systems, etc.) should be selected to generate a distribution map. In the visualization tool, the location coordinates of the irrigation area are used as the spatial reference, and the sub-irrigation quality is used as the attribute information. Spatial interpolation or color coding is combined with relative distance to generate an intuitive bladder irrigation quality distribution map. Finally, the distribution map should be carefully interpreted to analyze the spatial distribution characteristics of the irrigation quality, potential problem areas, and optimization directions of the irrigation strategy.

[0126] Specifically, assume that there is a bladder flushing patient who has completed the analysis of step S141 and obtained the position coordinates and relative distance information of the three flushing areas (area A, area B, and area C); based on the flushing data and flushing quality evaluation criteria, the sub-flush quality of the three flushing areas is evaluated; the results are as follows: the sub-flush quality of area A is "excellent" (score 90%), the sub-flush quality of area B is "good" (score 75%), and the sub-flush quality of area C is "medium" (score 60%).

[0127] The previously obtained position coordinates and relative distance information were reviewed; for example, the position coordinates of area A were (10, 15, 20), the position coordinates of area B were (20, 25, 15), and the position coordinates of area C were (5, 5, 30), and the relative distance between area A and area B was 15 cm. Medical image processing software was selected as a visualization tool. The position coordinates and sub-washing quality information were imported into the software, and color coding was used to indicate the washing quality level (such as red for "excellent", orange for "good", yellow for "fair", and green for "poor").

[0128] The software automatically drew a bladder irrigation quality distribution map based on the position coordinates and sub-irrigation quality information; in the drawn bladder irrigation quality distribution map, it can be clearly seen that area A is red (excellent), area B is orange (good), and area C is yellow (medium); by analyzing the distribution map, it was found that the irrigation quality of area C was relatively low, and it was necessary to increase the amount of irrigation fluid or extend the irrigation time to improve the irrigation effect; at the same time, it was also noted that the irrigation quality of area A and area B was good, and they were relatively close, which suggested that these two areas should be considered as key irrigation areas during irrigation, and the irrigation strategy should be appropriately adjusted to optimize the overall irrigation effect.

[0129] Therefore, in the patient's bladder flushing quality distribution map, two adjacent sub-flush masses are collected, and the change in sub-flush mass is determined based on the two adjacent sub-flush masses. The overall bladder flushing quality is determined by the relative distances of multiple bladder flushing areas, the corresponding changes in sub-flush masses, the surface morphology of the bladder flushing area and the second flushing quality mapping relationship. This is compatible with the overall consideration of the relative distances of multiple bladder flushing areas, the corresponding changes in sub-flush masses, the surface morphology of the bladder flushing area and the second flushing quality mapping relationship, ensuring the accuracy of the overall bladder flushing quality.

[0130] At this time, based on the bladder irrigation quality distribution map, the sub-wash quality changes between adjacent irrigation areas are further analyzed, and multiple factors (including the relative distance of the irrigation areas, the change in sub-wash quality, the surface morphology of the bladder irrigation area, and the preset second flush quality mapping relationship) are combined to determine the overall bladder irrigation quality. This step is of great significance for in-depth understanding of the uniformity of bladder irrigation, identification of potential problem areas, and evaluation of the overall irrigation effect.

[0131] In the bladder flushing quality distribution diagram, two adjacent flushing areas are first selected as analysis objects. These areas are adjacent areas predefined based on the flushing strategy and are also adjacent areas determined based on the morphology and characteristics of the bladder after flushing. The sub-flushing quality grades or scores of these two adjacent areas are recorded for subsequent calculation of the change.

[0132] Based on the recorded sub-flushing quality, calculate the sub-flushing quality change between two adjacent areas. This is usually achieved by calculating the difference in the sub-flushing quality levels or scores of the two areas. Analyze the size and direction of the change to understand the spatial variation trend of the flushing quality. A larger change means that the flushing quality is more uneven, which requires special attention.

[0133] The relative distance of the flushing area affects the diffusion of the flushing fluid and the removal of residues; closer areas have more similar flushing qualities, while farther areas have greater differences; at the same time, the variation in sub-flush quality reflects the spatial uniformity and consistency of the flushing quality; a smaller variation usually means a more uniform flushing effect; the surface morphology of the bladder flushing area (such as smoothness, wrinkles, etc.) affects the flow of the flushing fluid and the attachment of residues; complex surface morphology leads to increased unevenness in flushing quality.

[0134] The second flushing quality mapping relationship is a preset model or rule used to integrate local flushing quality information (such as sub-flush quality, relative distance, surface morphology, etc.) into an assessment of the overall flushing quality; the second flushing quality mapping relationship is based on clinical experience, experimental results or data analysis; the above factors are input into the second flushing quality mapping relationship to calculate the assessment result of the overall bladder flushing quality, which is usually expressed in the form of grades (such as excellent, good, moderate, poor) or numerical values ​​(such as scores, percentages, etc.).

[0135] Specifically, assume that there is a bladder irrigation patient who has completed the analysis of step S142 and obtained a bladder irrigation quality distribution map and the sub-irrigation quality level of each irrigation area; in the bladder irrigation quality distribution map, select two adjacent irrigation areas: area A (sub-irrigation quality level is "excellent", score 90%) and area B (sub-irrigation quality level is "good", score 75%), and calculate the change in sub-irrigation quality between area A and area B: 90% - 75% = 15%. This change indicates that the irrigation quality decreases from area A to area B.

[0136] At the same time, the relative distance between area A and area B is 15 cm, which is a relatively close area; consider the change in sub-wash quality: although the change of 15% is not large, it is enough to attract attention because the wash quality has dropped from "excellent" to "good"; through medical imaging examination, it was found that the surface morphology of area B is relatively complex and has more wrinkles, which affects the flow of the wash fluid and the removal of residues; assume that there is a mapping relationship based on clinical experience, which takes all the above factors into account; according to this mapping relationship, the sub-wash quality level, relative distance, surface morphology and other information of area A and area B are input, and the overall bladder wash quality evaluation result is calculated; determine the overall bladder wash quality: after calculation, the overall bladder wash quality evaluation result is "good" (score 80%), which reflects the overall effect of bladder wash and points out areas that require special attention (such as area B) and the optimization direction of the wash strategy (such as increasing the amount of wash fluid, extending the wash time or adjusting the position of the wash head).

[0137] In one embodiment of the present application, it is assumed that the weight distribution is as follows: sub-washing quality (50%), relative distance (20%), surface morphology (30%); for area A: sub-washing quality score: 90 points * 50% = 45 points; relative distance score: since the changes between adjacent areas are considered, it is assumed here that the relative distance has little effect on the score of a single area, but for the sake of completeness, a benchmark score (such as 10 points) is set, and it is adjusted according to the deviation between the actual distance and the benchmark distance (in this example, the process is simplified and no adjustment is made); surface morphology score: 2 (complexity score) * 3 (score per unit 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.

[0138] The same calculation is performed for region B, but the change in sub-washing quality compared with region A needs to be taken into account. Since the sub-washing quality of region B is lower than that of region A, the score of region B is appropriately adjusted according to the size of the change (such as subtracting a certain proportion of the score). Finally, the weighted scores of regions A and B are summarized to obtain the total score of the overall bladder washout quality, and the evaluation result is determined according to the preset grading criteria.

[0139] refer to Figure 6 , in step S15, 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;

[0140] In the specific implementation process of the present invention, the specific steps are:

[0141] S151: collecting a preset bladder irrigation quality threshold, and comparing the overall bladder irrigation quality with the preset bladder irrigation quality threshold;

[0142] S152: If the overall bladder irrigation quality is lower than the preset bladder irrigation quality threshold, the sub-washing quality of each bladder irrigation area is compared with the preset bladder irrigation quality threshold to determine a plurality of low-quality bladder irrigation areas, wherein the sub-washing quality of the low-quality bladder irrigation area is lower than the preset bladder irrigation quality threshold;

[0143] S153: In the bladder flushing quality distribution map, the sub-bladder flushing quality of the low-quality bladder flushing area is compared with the preset bladder flushing quality threshold to determine the bladder flushing gap amount, the bladder secondary flushing area is determined according to the bladder flushing gap amount and the position of the low-quality bladder flushing area, and the bladder flushing compensation event is determined according to the area of ​​the bladder secondary flushing area, the relative position of the low-quality bladder flushing area and the bladder flushing gap amount. The bladder flushing compensation event includes a local flushing event, a synchronous flushing event and a differentiated flushing event.

[0144] In an embodiment of the present application, a preset bladder flushing quality threshold is collected, and the overall bladder flushing quality is compared with the preset bladder flushing quality threshold, thereby achieving a comparison between the overall bladder flushing quality and the preset bladder flushing quality threshold.

[0145] At this time, the preset bladder irrigation quality threshold is collected and read from the database, configuration file or clinical guidelines; at the same time, it is determined whether the overall bladder irrigation quality meets the preset standard; an appropriate evaluation method (such as the method described in step S143) is used to calculate the overall bladder irrigation quality 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 processing 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 are required.

[0146] Specifically, patient A, 50 years old, received bladder irrigation treatment for benign prostatic hyperplasia; the preset bladder irrigation quality threshold was 85 points (the full score was 100 points, determined based on clinical experience); at the same time, using the method described in step S143, combined with factors such as the bladder irrigation quality distribution map of patient A, the change in the quality of adjacent sub-irrigations, the relative distance and surface morphology of the irrigation areas, the overall bladder irrigation quality was calculated to be 78 points; the calculated overall bladder irrigation quality of 78 points was compared with the preset threshold of 85 points; because 78 points was lower than 85 points, it was determined that the bladder irrigation effect of patient A was poor.

[0147] According to the comparison results, the bladder irrigation quality of patient A did not meet the preset standards. Further analysis of the low-quality irrigation area is required, and corresponding measures such as secondary bladder irrigation should be considered to improve the irrigation effect. Through the detailed explanation and actual examples of step S151, a clear understanding is provided on how to collect the preset bladder irrigation quality threshold and compare it with the overall bladder irrigation quality, so as to determine whether the irrigation effect meets the expected standards. This provides an important basis for the subsequent adoption of targeted irrigation measures.

[0148] Furthermore, if the overall bladder flushing quality is lower than a preset bladder flushing quality threshold, the sub-flush quality of each bladder flushing area is compared with the preset bladder flushing quality threshold to determine multiple low-quality bladder flushing areas, and the sub-flush quality of the low-quality bladder flushing area is less than the preset bladder flushing quality threshold.

[0149] At this time, further detailed analysis is performed after evaluating the overall bladder irrigation quality; when the overall bladder irrigation quality is lower than the preset threshold, the sub-washing quality of each bladder irrigation area needs to be reviewed one by one to determine which areas have substandard washing quality, that is, low-quality bladder irrigation areas.

[0150] Determine whether further analysis of the sub-flush quality of each flushing area is required; at this time, review the results of step S151 to check whether the overall bladder flushing quality is lower than the preset bladder flushing quality threshold; at the same time, obtain detailed flushing quality information for each flushing area; extract the sub-flush quality data of each flushing area from the bladder flushing quality distribution map or related database.

[0151] Identify areas where irrigation quality does not meet standards. Compare the sub-irrigation quality of each irrigation area against the preset bladder irrigation quality threshold. If the sub-irrigation quality of a particular irrigation area is higher than or equal to the preset threshold, the area is considered to meet the irrigation quality standard. If the sub-irrigation quality of a particular irrigation area is lower than the preset threshold, the area is marked as a low-quality bladder irrigation area. This provides data support for the subsequent development of targeted irrigation strategies. All low-quality bladder irrigation areas and their sub-irrigation quality data are recorded and summarized for analysis.

[0152] Specifically, the preset bladder irrigation quality threshold for patient A was 80 points (out of a total of 100 points); the overall bladder irrigation quality assessment result was 75 points (lower than the preset threshold).

[0153] According to the result of step S151, the overall bladder flushing quality of patient A is 75 points, which is lower than the preset threshold of 80 points; the sub-flush quality data of each flushing area in the bladder of patient A is extracted from the bladder flushing quality distribution map; assuming that there are 5 flushing areas, marked as A, B, C, D, and E, their sub-flush qualities are 78 points, 65 points, 82 points, 70 points, and 60 points respectively.

[0154] Compare sub-rinse quality with preset thresholds:

[0155] Area A: 78 points (above the threshold of 80 points, met the standard); Area B: 65 points (below the threshold of 80 points, did not meet the standard, marked as a low-quality area); Area C: 82 points (above the threshold of 80 points, met the standard); Area D: 70 points (below the threshold of 80 points, did not meet the standard, marked as a low-quality area); Area E: 60 points (below the threshold of 80 points, did not meet the standard, marked as a low-quality area).

[0156] Mark areas B, D, and E as low-quality bladder irrigation areas, and record their sub-irrigation qualities as 65, 70, and 60 points, respectively; summary analysis shows that there are three low-quality irrigation areas in the bladder of patient A, mainly concentrated in a specific part or area of ​​the bladder; according to the analysis results of step S152, there are three low-quality irrigation areas (B, D, and E) in the bladder of patient A, and the sub-irrigation qualities of these areas are all lower than the preset threshold of 80 points; targeted irrigation strategies will be formulated for these low-quality areas in the future to improve the overall effect of bladder irrigation; through the detailed explanation and actual examples of step S152, a clear understanding of how to identify and determine low-quality bladder irrigation areas is provided, providing an important basis for the subsequent formulation of irrigation strategies.

[0157] Therefore, in the bladder flushing quality distribution map, the sub-bladder flushing quality of the low-quality bladder flushing area is compared with the preset bladder flushing quality threshold to determine the bladder flushing gap, the bladder secondary flushing area is determined according to the bladder flushing gap and the position of the low-quality bladder flushing area, and the bladder flushing compensation event is determined according to the regional area of ​​the bladder secondary flushing area, the relative position of the low-quality bladder flushing area and the bladder flushing gap. The bladder flushing compensation event includes local flushing events, synchronous flushing events and differentiated flushing events, which are compatible with the overall consideration of the regional area of ​​the bladder secondary flushing area, the relative position of the low-quality bladder flushing area and the bladder flushing gap, ensuring the accuracy of the bladder flushing compensation event. At the same time, the bladder flushing quality distribution map is introduced to ensure the accuracy of the overall bladder flushing quality, trigger the bladder flushing compensation event, and realize bladder flushing quality control.

[0158] At this time, the gap between the low-quality flushing area and the preset threshold is quantified to provide a basis for subsequent flushing strategies; at this time, in the bladder flushing quality distribution map, for each low-quality flushing area, the difference between its sub-flush quality and the preset bladder flushing quality threshold is calculated, that is, the bladder flushing gap amount.

[0159] Based on the flushing gap and the location of the flushing area, determine the specific area requiring secondary flushing. At this point, consider the flushing gap, the relative location of the low-quality flushing area within the bladder, and the diffusion effect of the flushing fluid to determine the area range for secondary bladder flushing. Develop a specific flushing compensation strategy based on the characteristics of the secondary flushing area. The steps are as follows:

[0160] Local flushing events: If the flushing gap is small and concentrated in a specific area, you can choose to perform local enhanced flushing of the low-quality flushing area;

[0161] Synchronous flushing event: If the difference in flushing volume of multiple flushing areas is large, or considering the uniform distribution of flushing fluid in the bladder, you can choose to perform synchronous enhanced flushing of the entire bladder;

[0162] Differentiated flushing events: Develop differentiated flushing strategies based on the flushing gap volume and location of each flushing area, such as using different flushing intensities, flushing fluid types, or flushing times for different areas;

[0163] When determining the flushing compensation event, the area of ​​the secondary flushing area, the relative position of the low-quality flushing area, the size of the flushing gap, and the patient's specific conditions (such as bladder capacity, tolerance, etc.) must also be considered.

[0164] At this time, patient A received bladder irrigation treatment for bladder stones; the preset bladder irrigation quality threshold was 85 points; low-quality irrigation areas were the left bladder wall (sub-wash quality 70 points) and the bladder fundus (sub-wash quality 75 points).

[0165] The difference in the left bladder wall is 85 points - 70 points = 15 points. The difference in the bladder base is 85 points - 75 points = 10 points. Considering the size and location of the difference, it is decided to perform a second flush on the left bladder wall and base. The left bladder wall, in particular, requires more focus due to its larger difference. Bladder flush compensation events are determined as follows:

[0166] Local flushing event: Targeting the left side of the bladder wall, high-pressure flushing fluid is used for local enhanced flushing to reduce the flushing gap;

[0167] Differentiated irrigation events: For the bladder fundus, considering its relatively small irrigation gap and deep location, a low-pressure but long-duration irrigation method is used to ensure that the irrigation fluid can fully reach and act on this area;

[0168] When formulating the flushing compensation events, the bladder capacity and tolerance of patient A were also taken into consideration to ensure that the flushing strategy was both effective and safe. Based on the analysis and decision-making of step S153, patient A received secondary flushing treatment targeting the left side wall and bottom of the bladder. High-pressure local flushing was used on the left side wall, and low-pressure long-term flushing was used on the bottom. After treatment, the bladder flushing quality distribution map showed that the sub-flush quality of the left side wall and bottom was improved, and the overall bladder flushing quality also reached above the preset threshold.

[0169] In one 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:

[0170] Table 4. Flush compensation event matching table

[0171]

[0172] Low-quality area: identifies the specific area where the flushing quality does not meet the standard; flushing gap: the difference between the sub-flush quality of the 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 requires secondary flushing based on the flushing gap and position; flushing compensation event: the flushing strategy formulated for the secondary flushing area, including local flushing, synchronous flushing and differentiated flushing.

[0173] See also Figure 7 , Figure 7 Schematic diagram of the structure of a 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:

[0174] The bladder washing image module 21 is used to dynamically detect the patient's bladder washing process and collect multiple bladder washing images of the patient at different time points;

[0175] A flushing parameter module 22 is configured to determine a plurality of bladder flushing areas based on a comparison of a plurality of bladder flushing images, and mark a plurality of corresponding flushing parameters for each bladder flushing area, wherein the flushing parameters include a time parameter, a flushing mode, and a flushing intensity;

[0176] a sub-flushing quality module 23 for determining, in each bladder flushing area, a sub-flushing quality of the bladder flushing area based on a plurality of flushing parameters and a post-flushing image of the bladder flushing area;

[0177] an overall bladder irrigation quality module 24 for determining a bladder irrigation quality distribution map of the patient based on the plurality of sub-irrigation qualities and relative distances of the plurality of bladder irrigation areas, and determining an overall bladder irrigation quality according to the identification of the bladder irrigation quality distribution map;

[0178] The bladder irrigation compensation event module 25 is 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.

[0179] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, 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, they should be considered to be within the scope of this specification.

Claims

1. A bladder irrigation quality control method based on dynamic monitoring, characterized in that: include: Dynamically detect the patient's bladder irrigation process and collect multiple bladder irrigation images of the patient at different time points; Determining multiple bladder flushing areas based on comparison of multiple bladder flushing images, and marking corresponding multiple flushing parameters for each bladder flushing area, the flushing parameters including time parameters, flushing mode, and flushing intensity, including: sequentially comparing multiple bladder flushing images in order of time nodes, and determining multiple bladder change locations based on the sequential comparison of the multiple bladder flushing images; determining corresponding bladder flushing areas based on tracing the multiple bladder change locations to obtain multiple bladder flushing areas; collecting a flushing data set of the bladder flushing area during the flushing process in each bladder flushing area, and determining multiple flushing parameters based on screening of the flushing data set, and marking the multiple flushing parameters on the corresponding bladder flushing area; In each bladder irrigation area, a sub-flush quality of the bladder irrigation area is determined based on multiple flushing parameters and a post-flush image of the bladder irrigation area, including: performing real-time detection on each bladder irrigation area, determining multiple flushing combinations based on the multiple flushing parameters of the bladder irrigation area, and determining multiple flushing features based on the identification of the multiple flushing combinations; acquiring a post-flush image of the bladder irrigation area, and matching the multiple flushing features to the post-flush image of the bladder irrigation area, where the post-flush image of the bladder irrigation area presents the surface morphology and multiple flushing features of the bladder irrigation area; determining a surface clean parameter of the bladder irrigation area based on the surface morphology and multiple flushing features of the bladder irrigation area, and determining the sub-flush quality of the bladder irrigation area based on a mapping relationship between the surface clean parameter of the bladder irrigation area, the area of ​​the bladder irrigation area, and the first flushing quality; A bladder flushing quality distribution map of a patient is determined based on a plurality of sub-flush masses and relative distances between a plurality of bladder flushing areas, and an overall bladder flushing quality is determined based on identification of the bladder flushing quality distribution map, including: constructing a corresponding coordinate system in the bladder, marking the position coordinates of a plurality of bladder flushing areas, and determining the relative distances between the plurality of bladder flushing areas based on comparison of the position coordinates of the plurality of bladder flushing areas; marking corresponding sub-flush masses for the plurality of bladder flushing areas, and determining the bladder flushing quality distribution map of the patient based on the plurality of sub-flush masses, the position coordinates of the plurality of bladder flushing areas, and the relative distances between the plurality of bladder flushing areas; collecting two adjacent sub-flush masses in the patient's bladder flushing quality distribution map, and determining a change in the sub-flush masses based on the two adjacent sub-flush masses, and determining the overall bladder flushing quality based on a mapping relationship between the relative distances between the plurality of bladder flushing areas, the change in the corresponding sub-flush masses, the surface morphology of the bladder flushing area, and the second flushing quality; 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.

2. The method for controlling the quality of bladder irrigation based on dynamic monitoring according to claim 1, characterized in that: The method of dynamically detecting the patient's bladder flushing process and collecting multiple bladder flushing images of the patient at different time points includes: The patient's bladder irrigation position is collected, and the movement path of the bladder irrigation head is determined based on the patient's bladder irrigation position and the current position of the bladder irrigation head. At this time, the bladder irrigation head moves along the movement path and triggers the corresponding irrigation at the patient's bladder irrigation position. At the same time, a miniature camera module is configured on the side of the bladder irrigation head; When the bladder flushing head flushes the bladder, each flushing time of the bladder flushing head is collected, and each flushing time is matched with a corresponding time node to form multiple different time nodes; The micro camera module triggers corresponding timed shooting based on multiple different time nodes, and performs circular shooting after each bladder flushing to capture multiple bladder flushing images of the patient at different time nodes, and the multiple bladder flushing images mark the corresponding time nodes.

3. The method for controlling bladder irrigation quality based on dynamic monitoring according to claim 1, characterized in that: 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 includes: collecting a preset bladder irrigation quality threshold, and comparing the overall bladder irrigation quality with the preset bladder irrigation quality threshold; If the overall bladder flushing quality is lower than the preset bladder flushing quality threshold, the sub-flush quality of each bladder flushing area is compared with the preset bladder flushing quality threshold to determine multiple low-quality bladder flushing areas, and the sub-flush quality of the low-quality bladder flushing area is less than the preset bladder flushing quality threshold.

4. The method for controlling bladder irrigation quality based on dynamic monitoring according to claim 3, characterized in that: 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 further includes: In the bladder flushing quality distribution map, the sub-bladder flushing quality of the low-quality bladder flushing area is compared with the preset bladder flushing quality threshold to determine the bladder flushing gap amount, the bladder secondary flushing area is determined according to the bladder flushing gap amount and the position of the low-quality bladder flushing area, and the bladder flushing compensation event is determined according to the area of ​​the bladder secondary flushing area, the relative position of the low-quality bladder flushing area and the bladder flushing gap amount. The bladder flushing compensation event includes a local flushing event, a synchronous flushing event and a differentiated flushing event.

5. A bladder irrigation quality control system 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 according to any one of claims 1 to 4, and the bladder irrigation quality control system based on dynamic monitoring includes: The bladder washing image module is used to dynamically detect the patient's bladder washing process and collect multiple bladder washing images of the patient at different time points; A flushing parameter module is used to determine multiple bladder flushing areas based on the comparison of multiple bladder flushing images, and mark multiple corresponding flushing parameters for each bladder flushing area. The flushing parameters include time parameters, flushing mode and flushing intensity. The module comprises: sequentially comparing multiple bladder flushing images in the order of time nodes, and determining multiple bladder change positions based on the sequential comparison of the multiple bladder flushing images; determining corresponding bladder flushing areas based on the tracing of the multiple bladder change positions to obtain multiple bladder flushing areas; in each bladder flushing area, collecting a flushing data set of the bladder flushing area during the flushing process, and determining multiple flushing parameters based on the screening of the flushing data set, and marking the multiple flushing parameters on the corresponding bladder flushing area; A sub-flush quality module is configured to determine, in each bladder flushing area, the sub-flush quality of the bladder flushing area based on multiple flushing parameters and a post-flush image of the bladder flushing area, including: performing real-time detection on each bladder flushing area, determining multiple flushing combinations based on the multiple flushing parameters of the bladder flushing area, and determining multiple flushing features based on the identification of the multiple flushing combinations; acquiring a post-flush image of the bladder flushing area, and matching the multiple flushing features to the post-flush image of the bladder flushing area, where the post-flush image of the bladder flushing area presents the surface morphology and multiple flushing features of the bladder flushing area; determining a surface clean parameter of the bladder flushing area based on the surface morphology and multiple flushing features of the bladder flushing area, and determining the sub-flush quality of the bladder flushing area based on a mapping relationship between the surface clean parameter of the bladder flushing area, the area of ​​the bladder flushing area, and the first flushing quality; An overall bladder flushing quality module is used to determine a bladder flushing quality distribution map of a patient based on a plurality of sub-flush masses and relative distances between a plurality of bladder flushing areas, and to determine an overall bladder flushing quality based on identification of the bladder flushing quality distribution map, comprising: constructing a corresponding coordinate system in the bladder, marking the position coordinates of a plurality of bladder flushing areas, and determining the relative distances between the plurality of bladder flushing areas based on comparison of the position coordinates of the plurality of bladder flushing areas; marking corresponding sub-flush masses for the plurality of bladder flushing areas, and determining a bladder flushing quality distribution map of the patient based on the plurality of sub-flush masses, the position coordinates of the plurality of bladder flushing areas, and the relative distances between the plurality of bladder flushing areas; collecting two adjacent sub-flush masses in the patient's bladder flushing quality distribution map, and determining a change in the sub-flush masses based on the two adjacent sub-flush masses, and determining an overall bladder flushing quality based on a mapping relationship between the relative distances between the plurality of bladder flushing areas, the change in the corresponding sub-flush masses, the surface morphology of the bladder flushing areas, and a second flushing quality; The bladder irrigation compensation event module is 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.

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