Liver perfusion control method and system based on image recognition

Abstract

The present invention relates to the field of image processing, specifically to a liver perfusion control method and system based on image recognition. The method identifies thermal imaging images of an isolated liver during perfusion, obtains temperature data, and uses this data to calibrate abnormal activity areas of the isolated liver; identifies the changing trends of abnormal activity areas of the hepatic artery and portal vein, and estimates the circulatory degradation time nodes of the hepatic artery and portal vein; obtains metabolic differences based on metabolic data associated with the circulatory degradation time nodes, and uses this data to determine target perfusion parameters; and dynamically adjusts the perfusion operations of the hepatic artery and portal vein by combining real-time perfusion parameters and target perfusion parameters. The present invention determines the metabolic differences between the two circulations by performing thermal imaging recognition on the isolated liver and metabolic detection of the hepatic artery and portal vein circulations, effectively taking into account the metabolic balance of the two circulations, thereby improving the organ preservation lifespan and reducing organ tissue damage.

Description

Technical Field

[0001] The present invention relates to the field of image processing, and in particular to a liver perfusion control method and system based on image recognition. Background Art

[0002] Liver transplantation is an effective means of treating diseases such as liver failure or liver cancer. How to effectively preserve the obtained ex vivo liver until the surgical period has a very important impact on the success rate of liver transplantation. Cryopreservation and mechanical perfusion are currently the two main means of preserving ex vivo livers. Cryopreservation prolongs the life of liver organs to a certain extent by reducing tissue metabolism and oxygen demand. However, with the increasing demand for liver transplantation surgery, simple cryopreservation can no longer meet the needs of preserving large-volume organs. Mechanical perfusion refers to the use of rotary pumps, temperature control equipment, pressure control equipment, oxygenation equipment, etc. to circulate perfusion fluid through ex vivo organs. It has been widely used in the preservation of ex vivo kidneys.

[0003] Considering that the liver mainly consists of two related metabolic cycles, the hepatic artery circulation and the portal vein circulation, there are obvious differences from the metabolism of kidney tissue. During the mechanical perfusion of the isolated liver, it is necessary to take into account the tissue metabolism of the hepatic artery circulation and the portal vein circulation and their differences. Abnormalities in one of the cycles during perfusion will inevitably affect the other cycle, which may cause irreversible damage to the isolated liver and hinder the normal progress of the transplantation operation. It can be seen that how to visually monitor and adjust the perfusion preservation of the isolated liver in real time is of great significance for improving the preservation life of the isolated liver and reducing organ tissue damage. Summary of the Invention

[0004] In order to synchronously monitor the hepatic arterial circulation and portal venous circulation of an isolated liver, ensure that both circulations maintain stable tissue metabolism, prevent deterioration of one circulation from affecting the other, achieve real-time and accurate adjustment of isolated liver perfusion, improve storage life, and reduce organ tissue damage, the present invention provides a liver perfusion regulation method based on image recognition, which comprises the following steps:

[0005] S1: Identifying a thermal imaging image of an isolated liver during perfusion to obtain temperature data; and calibrating an abnormal activity area of ​​the isolated liver based on the temperature data;

[0006] S2: Identify the changing trend of abnormal activity areas of the hepatic artery and portal vein, and estimate the time point of circulation deterioration of the hepatic artery and portal vein;

[0007] S3: determining a metabolic difference between the hepatic artery and the portal vein based on the metabolic data associated with the circulatory degradation time node; and determining a target perfusion parameter based on the metabolic difference.

[0008] S4: Dynamically adjusting the perfusion operations of the hepatic artery and the portal vein according to the real-time perfusion parameters and the target perfusion parameters.

[0009] Preferably, in S1, a thermal imaging image of the isolated liver during perfusion is identified to obtain temperature data; and based on the temperature data, an abnormal activity area of ​​the isolated liver is calibrated, specifically:

[0010] identifying state data of the hepatic artery circulation and portal vein circulation during perfusion of the isolated liver, determining whether the isolated liver is in a stable physiological circulation state, and acquiring a thermal imaging image of the isolated liver in the stable physiological circulation state; wherein the state data includes pressure data of the hepatic artery and portal vein, and perfusion fluid composition data;

[0011] The temperature data extracted from the thermal imaging image is compared with preset reference temperature data to obtain the spatial distribution of temperature differences of the isolated liver, thereby calibrating the abnormal activity area of ​​the isolated liver.

[0012] Preferably, in S2, the changing trend of the abnormal activity areas of the hepatic artery and portal vein is identified, and the time point of circulatory deterioration of the hepatic artery and portal vein is estimated, specifically:

[0013] Identifying the changing trends of the ranges of the abnormally active regions of the hepatic artery and portal vein, and determining the time series in which the key parts of the hepatic artery and portal vein are covered by the abnormally active regions;

[0014] Based on the time series, the circulatory deterioration time nodes of the hepatic artery and the portal vein are estimated; wherein the circulatory deterioration time node refers to the time point when the proportion of the number of key parts covered by the active abnormal area under the hepatic artery or the portal vein reaches a preset proportion threshold.

[0015] Preferably, in S3, based on the metabolic data associated with the circulatory degradation time node, a metabolic difference between the hepatic artery and the portal vein is determined; based on the metabolic difference, a target perfusion parameter is determined, specifically:

[0016] Obtaining blood component change data for each of the hepatic artery and the portal vein during a corresponding time interval before the circulatory deterioration time point; identifying the blood component change data to determine a metabolic difference between the hepatic artery and the portal vein; wherein the metabolic difference includes a difference in the rate of consumption of nutrients in the perfusion fluid between the hepatic artery and the portal vein;

[0017] Based on the metabolic difference, target perfusion parameters required by the hepatic artery circulation and the portal vein circulation of the isolated liver are determined when the hepatic artery circulation and the portal vein circulation reach metabolic equilibrium; wherein the target perfusion parameters include a target perfusion flow rate and a target perfusion temperature.

[0018] Preferably, in S4, the perfusion operations of the hepatic artery and the portal vein are dynamically adjusted according to the real-time perfusion parameters and the target perfusion parameters, specifically:

[0019] identifying a difference between a real-time perfusion parameter of the isolated liver and the target perfusion parameter, and determining a change value of the perfusion operation parameter for each of the hepatic artery and the portal vein based on the difference and an acceptable perfusion change limit for each of the hepatic artery and the portal vein;

[0020] The perfusion operation parameters of the hepatic artery and the portal vein are dynamically adjusted according to the change value of the perfusion operation parameter.

[0021] In another aspect, the present invention provides a liver perfusion control system based on image recognition, the system comprising the following modules:

[0022] A thermal imaging recognition module is used to recognize thermal imaging images of the isolated liver during perfusion to obtain temperature data;

[0023] a calibration module, configured to calibrate an abnormal activity area of ​​the isolated liver according to the temperature data;

[0024] a degradation estimation module, configured to identify a change trend of abnormal activity areas of the hepatic artery and portal vein, and estimate a time point at which the circulation of the hepatic artery and portal vein will deteriorate;

[0025] a difference determination module, configured to determine a metabolic difference between the hepatic artery and the portal vein based on the metabolic data associated with the circulatory degradation time node;

[0026] a target parameter determination module, configured to determine a target perfusion parameter based on the metabolic difference;

[0027] The perfusion adjustment module is used to dynamically adjust the perfusion operations of the hepatic artery and the portal vein according to the real-time perfusion parameters and the target perfusion parameters.

[0028] Preferably, the thermal imaging recognition module is used to recognize thermal imaging images of the isolated liver during perfusion to obtain temperature data; and to demarcate abnormal activity areas of the isolated liver based on the temperature data, specifically:

[0029] identifying state data of the hepatic artery circulation and portal vein circulation during perfusion of the isolated liver, determining whether the isolated liver is in a stable physiological circulation state, and acquiring a thermal imaging image of the isolated liver in the stable physiological circulation state; wherein the state data includes pressure data of the hepatic artery and portal vein, and perfusion fluid composition data;

[0030] The temperature data extracted from the thermal imaging image is compared with preset reference temperature data to obtain the spatial distribution of temperature differences of the isolated liver, thereby calibrating the abnormal activity area of ​​the isolated liver.

[0031] Preferably, the degradation estimation module is used to identify the changing trend of the abnormal activity areas of the hepatic artery and portal vein, and estimate the time nodes of the circulation degradation of the hepatic artery and portal vein, specifically:

[0032] Identifying the changing trends of the ranges of the abnormally active regions of the hepatic artery and portal vein, and determining the time series in which the key parts of the hepatic artery and portal vein are covered by the abnormally active regions;

[0033] Based on the time series, the circulatory deterioration time nodes of the hepatic artery and the portal vein are estimated; wherein the circulatory deterioration time node refers to the time point when the proportion of the number of key parts covered by the active abnormal area under the hepatic artery or the portal vein reaches a preset proportion threshold.

[0034] Preferably, the difference determination module is configured to determine the metabolic difference between the hepatic artery and the portal vein based on the metabolic data associated with the circulatory degradation time node, specifically:

[0035] Obtaining blood component change data for each of the hepatic artery and the portal vein during a corresponding time interval before the circulatory deterioration time point; identifying the blood component change data to determine a metabolic difference between the hepatic artery and the portal vein; wherein the metabolic difference includes a difference in the rate of consumption of nutrients in the perfusion fluid between the hepatic artery and the portal vein;

[0036] The target parameter determination module is used to determine the target perfusion parameter according to the metabolic difference, specifically:

[0037] Based on the metabolic difference, target perfusion parameters required by the hepatic artery circulation and the portal vein circulation of the isolated liver are determined when the hepatic artery circulation and the portal vein circulation reach metabolic equilibrium; wherein the target perfusion parameters include a target perfusion flow rate and a target perfusion temperature.

[0038] Preferably, the perfusion adjustment module is used to dynamically adjust the perfusion operations of the hepatic artery and the portal vein according to the real-time perfusion parameters and the target perfusion parameters, specifically:

[0039] identifying a difference between a real-time perfusion parameter of the isolated liver and the target perfusion parameter, and determining a change value of the perfusion operation parameter for each of the hepatic artery and the portal vein based on the difference and an acceptable perfusion change limit for each of the hepatic artery and the portal vein;

[0040] The perfusion operation parameters of the hepatic artery and the portal vein are dynamically adjusted according to the change value of the perfusion operation parameter.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] Identify thermal images of the ex vivo liver during perfusion to obtain temperature data; based on this temperature data, demarcate areas of abnormal liver activity. By identifying the entire ex vivo liver through thermal imaging, global temperature data is obtained, fully characterizing the temperature conditions of the ex vivo liver during the current perfusion period. Demarcate areas of abnormal liver activity through temperature comparison, facilitating subsequent prediction of their impact on the hepatic artery and portal vein.

[0043] Identify trends in abnormally active areas of the hepatic artery and portal vein and estimate the time point at which circulation deteriorates in the hepatic artery and portal vein. Irreversible tissue damage related to the hepatic arterial and portal venous circulations occurs in the isolated liver at these respective time points. To prevent loss of activity in the isolated liver, perfusion procedures must be adjusted before these time points to restore the physiological activity of the isolated liver. By identifying these time points, measures can be taken in advance to restore the physiological activity of the isolated liver.

[0044] Metabolic data associated with circulatory degradation time points are used to determine metabolic differences between the hepatic artery and portal vein. Based on these differences, target perfusion parameters are determined. This provides precise perfusion adjustment targets to ensure metabolic balance between the hepatic arterial and portal vein circulations, maintaining stable physiological metabolism throughout the isolated liver.

[0045] Dynamically adjust the perfusion of the hepatic artery and portal vein based on real-time and target perfusion parameters. This dynamic adjustment of the perfusion of the hepatic artery and portal vein allows for gradual perfusion adjustments of the hepatic arterial and portal vein circulations, ensuring that the hepatic arterial and portal vein circulations gradually adapt to matching metabolic patterns and preventing rupture of the hepatic artery or portal vein due to excessive impact. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without inventive efforts. Among them:

[0047] Figure 1 This is a flow chart of the liver perfusion regulation method based on image recognition provided by the present invention.

[0048] Figure 2 These are the pressure changes in the hepatic artery and portal vein respectively.

[0049] Figure 3 This is a graph showing the changes in the composition of the perfusate in the hepatic artery and portal vein.

[0050] Figure 4 This is a thermal imaging image of an isolated liver.

[0051] Figure 5 This is a schematic diagram of the dual circulation perfusion of the hepatic artery and portal vein of the isolated liver.

[0052] Figure 6 This is a structural diagram of the liver perfusion control system based on image recognition provided by the present invention. DETAILED DESCRIPTION

[0053] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. It will be understood that the specific embodiments described herein are only used to explain the present invention, rather than to limit the present invention. It should also be noted that, for ease of description, only parts related to the present invention, rather than all structures, are shown in the accompanying drawings. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0054] The terms "comprise," "comprising," and "having," and any variations thereof, as used herein, are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or elements is not limited to the listed steps or elements, but may optionally include steps or elements not listed, or may optionally include other steps or elements inherent to the process, method, product, or apparatus.

[0055] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0056] See also Figure 1 As shown, the present invention provides a liver perfusion control method based on image recognition, which includes the following steps:

[0057] S1, identifying the thermal imaging image of the isolated liver during perfusion to obtain temperature data; and calibrating the abnormal activity area of ​​the isolated liver based on the temperature data.

[0058] Furthermore, in S1, a thermal imaging image of the isolated liver during perfusion is identified to obtain temperature data; based on the temperature data, an abnormal activity area of ​​the isolated liver is calibrated, specifically:

[0059] Identifying the state data of the hepatic artery circulation and portal vein circulation during perfusion of the isolated liver, determining whether the isolated liver is in a stable physiological circulation state, and acquiring thermal imaging images of the isolated liver in a stable physiological circulation state; wherein the state data includes pressure data of the hepatic artery and portal vein, and perfusion fluid composition data;

[0060] By comparing the temperature data extracted from the thermal imaging image with the preset reference temperature data, the spatial distribution of the temperature difference of the isolated liver is obtained, thereby calibrating the abnormal activity area of ​​the isolated liver.

[0061] The temperature of the isolated liver is an important parameter for characterizing the activity of the isolated liver. If it is not possible to ensure that all areas of the isolated liver, especially the marginal areas, receive a continuous and stable nutrient supply and metabolic circulation during the perfusion period, the tissue activity of the corresponding area will decrease, resulting in abnormal temperature. In the initial stage of the perfusion period, since it takes a certain amount of time for the perfusion fluid to be transported to the entire liver, the perfusion fluid is not fully supplied to the entire liver tissue, resulting in all areas of the liver not being able to truly reflect the tissue activity. In order to avoid errors in the thermal imaging identification of the isolated liver, thermal imaging identification must be performed only when the isolated liver receives a stable nutrient supply during the perfusion period and the hepatic artery and portal vein of the isolated liver form a continuous metabolic circulation. For this purpose, pressure sensors pre-installed in the hepatic artery and portal vein of the isolated liver are used to detect the pressure of the hepatic artery and portal vein respectively. Please refer to Figure 2 ,in Figure 2(a) shows the curve of hepatic artery pressure changing with perfusion time, and (b) shows the curve of portal vein pressure changing with perfusion time. Furthermore, while the hepatic artery and portal vein of the isolated liver are receiving perfusion fluid, circulatory metabolism occurs, causing the composition of the perfusion fluid to change as metabolites (such as aspartate aminotransferase (AST)) are excreted. When the circulatory metabolism of the hepatic artery and portal vein reaches a stable state, the excretion of metabolites also tends to stabilize. For this purpose, sensors pre-installed in the hepatic artery and portal vein of the isolated liver are used to detect the aspartate aminotransferase (AST) content in the perfusion fluid corresponding to the hepatic artery circulation and portal vein circulation, respectively. Please refer to Figure 3 ,in Figure 3 (a) is the curve showing the change of aspartate aminotransferase (AST) content in the perfusion fluid corresponding to the hepatic artery circulation with the perfusion time, and (b) is the curve showing the change of aspartate aminotransferase (AST) content in the perfusion fluid corresponding to the portal vein circulation with the perfusion time.

[0062] By measuring the pressure-time variation of the hepatic artery and portal vein during perfusion of the isolated liver, as well as the AST content-time variation in the perfusate of the hepatic artery and portal vein circulations, the circulatory states of the hepatic artery and portal vein are modeled and analyzed based on these two data sets to determine whether the isolated liver is in a stable physiological circulation state. This circulation state modeling and analysis can be implemented using existing neural network models, which will not be described in detail here.

[0063] When the isolated liver is not in a stable physiological circulation state, it means that the perfusion fluid has not been fully supplied to the entire liver tissue. At this time, it is necessary to wait until the perfusion operation is carried out to a certain extent before performing thermal imaging. When the isolated liver is in a stable physiological circulation state, thermal imaging identification can be performed directly on the isolated liver. Figure 4 , thermal infrared photography of an isolated liver in a stable physiological circulation state is performed to obtain a thermal imaging image. The thermal imaging image recognition and analysis are performed to extract the global temperature data of the isolated liver, and the temperature conditions of the isolated liver during the current perfusion period are fully characterized. The extracted temperature data is then compared with the preset reference temperature data to obtain the temperature difference between the actual temperature value of each part of the isolated liver and the preset reference temperature value, thereby generating the spatial distribution of the temperature difference of the entire isolated liver; wherein, the preset reference temperature data can be obtained by empirically processing the historical perfusion monitoring data of the isolated liver multiple times. The temperature difference of each part area is also compared with the reference temperature difference range. If the temperature difference is within the reference temperature difference range, the above part area is not marked as the abnormal activity area of ​​the isolated liver; otherwise, the above part area is marked as the abnormal activity area of ​​the isolated liver, which is convenient for subsequent prediction of the impact of the abnormal activity area of ​​the isolated liver on the hepatic artery and portal vein.

[0064] S2, identify the changing trend of abnormal activity areas of the hepatic artery and portal vein, and estimate the time point of circulation deterioration of the hepatic artery and portal vein.

[0065] Furthermore, in S2, the changing trend of the abnormal activity areas of the hepatic artery and portal vein is identified, and the time point of circulation deterioration of the hepatic artery and portal vein is estimated, specifically:

[0066] Identify the changing trends of the abnormal activity areas of the hepatic artery and portal vein, and determine the time series of key parts of the hepatic artery and portal vein covered by the abnormal activity areas;

[0067] Based on the time series, the circulatory deterioration time nodes of the hepatic artery and portal vein are estimated. The circulatory deterioration time node refers to the time point when the proportion of key parts covered by abnormally active areas under the hepatic artery or portal vein reaches the preset proportion threshold.

[0068] Considering the physiological characteristics of an isolated liver, when an abnormally active region appears in the isolated liver and repair measures are not promptly implemented, adjacent liver tissue will also be affected, causing the abnormally active region to expand. When the abnormally active region extends to key locations such as bifurcations of the hepatic artery and portal vein, normal blood circulation in the isolated liver can be impaired, potentially leading to irreversible damage to liver tissue. The above analysis shows that the changing trend of the abnormally active regions in the hepatic artery and portal vein directly impacts the physiological circulation of these locations. To accurately predict the temporal evolution of circulation degradation in the hepatic artery and portal vein under the influence of abnormally active regions, we first identify the changing trend of the abnormally active regions in each of the two regions and determine the time series of key locations covered by the abnormally active regions. This time series is the time series of the points in time when all key locations within the hepatic artery or portal vein are covered by the abnormally active regions. From this time series, we then extract the time points at which the percentage of key locations within the hepatic artery or portal vein covered by the abnormally active regions reaches a preset threshold, thus determining the time points of circulation degradation in each of the two regions. It is understandable that the isolated liver will undergo irreversible tissue damage related to the hepatic artery circulation and portal vein circulation at the above-mentioned circulatory deterioration time points of the hepatic artery and portal vein, respectively. In order to avoid the loss of activity of the isolated liver, it is necessary to adjust the perfusion operation before reaching the circulatory deterioration time point to restore the physiological activity of the isolated liver.

[0069] S3, based on the metabolic data associated with the circulatory degradation time point, determine the metabolic difference between the hepatic artery and portal vein; based on the metabolic difference, determine the target perfusion parameters

[0070] Furthermore, in S3, based on the metabolic data associated with the circulatory degradation time node, the metabolic difference between the hepatic artery and the portal vein is determined; based on the metabolic difference, the target perfusion parameters are determined, specifically:

[0071] Obtaining blood composition change data for the hepatic artery and portal vein during a corresponding time interval prior to the circulatory deterioration time point; identifying the blood composition change data to determine metabolic differences between the hepatic artery and portal vein; wherein the metabolic differences include differences in the rates of nutrient consumption in the perfusion fluid between the hepatic artery and portal vein;

[0072] Based on the metabolic differences, the target perfusion parameters required by the hepatic arterial circulation and the portal venous circulation of the isolated liver are determined when the hepatic arterial circulation and the portal venous circulation reach metabolic equilibrium; wherein the target perfusion parameters include the target perfusion flow rate and the target perfusion temperature.

[0073] To promptly adjust perfusion procedures before the aforementioned circulatory deterioration point, improve the hepatic arterial and portal venous circulations of the isolated liver, and restore the liver's overall physiological activity, it is necessary to monitor the circulating blood components in both the hepatic arterial and portal venous circulations. Specifically, sensors pre-installed in the hepatic arterial and portal venous circulations can be used to monitor changes in blood components such as blood oxygen concentration and blood glucose concentration corresponding to these two circulations. Based on this blood component change data, metabolic models for both the hepatic arterial and portal venous circulations can be constructed to determine the differences in the rates of nutrient consumption in the perfusate between the hepatic artery and portal vein.

[0074] The physiological metabolism of the entire isolated liver is maintained by the hepatic arterial and portal venous circulations. The metabolic states of these two circulations directly influence the physiological metabolism of the entire isolated liver. To ensure stable and continuous physiological metabolism of the entire isolated liver, the target perfusion flow rate (i.e., target perfusion fluid delivery flow rate) and target perfusion temperature (i.e., target perfusion fluid temperature) required for the hepatic arterial and portal venous circulations to achieve metabolic equilibrium are determined based on these metabolic differences. When the hepatic arterial and portal venous circulations are perfused at these target perfusion flows and temperatures, metabolic equilibrium is achieved between the hepatic arterial and portal venous circulations, thereby maintaining stable physiological metabolism of the entire isolated liver.

[0075] S4, dynamically adjust the perfusion operations of the hepatic artery and portal vein according to the real-time perfusion parameters and the target perfusion parameters.

[0076] Furthermore, in S4, the perfusion operations of the hepatic artery and portal vein are dynamically adjusted according to the real-time perfusion parameters and the target perfusion parameters, specifically:

[0077] identifying a difference between a real-time perfusion parameter of the isolated liver and a target perfusion parameter, and determining a change value of the perfusion operation parameter of the hepatic artery and the portal vein according to the difference value and an acceptable perfusion change limit value of the hepatic artery and the portal vein;

[0078] According to the change value of the perfusion operation parameter, the perfusion operation parameters of the hepatic artery and portal vein are dynamically adjusted.

[0079] See also Figure 5 , two perfusion operation circuits are set for the hepatic artery circulation and portal vein circulation respectively, so as to independently adjust and control the flow state of the perfusion fluid in the hepatic artery circulation and portal vein circulation. Figure 5 Both the middle hepatic artery circulation and the portal vein circulation use centrifugal pumps to drive the perfusion fluid to flow in the circulation loop. The flow sensor and pressure sensor respectively detect the perfusion fluid flow in the circulation loop and the pressure of the hepatic artery / portal vein. The oxygenator realizes oxygen-carbon dioxide exchange, and the thrombus filter is used to filter thrombus.

[0080] If the perfusion parameters are adjusted directly to the target in one step during the perfusion operation, the hepatic artery or portal vein may be ruptured due to excessive impact, resulting in damage to the ex vivo liver tissue. To ensure the safety of the hepatic artery and portal vein tissue structures while gradually improving physiological circulation performance, the difference between the real-time perfusion parameters of the ex vivo liver and the target perfusion parameters (such as the perfusion flow rate difference and the perfusion temperature difference) is first identified. Combined with the acceptable perfusion change limits of the hepatic artery and portal vein (such as the maximum acceptable flow rate change and maximum temperature change during each adjustment process), the change values ​​of the perfusion operation parameters of the hepatic artery and portal vein are determined (i.e., the actual flow rate change and actual temperature change during each perfusion operation adjustment process). The perfusion flow and perfusion temperature of the hepatic artery and portal vein are then dynamically adjusted multiple times to achieve gradual perfusion adjustment of the hepatic artery circulation and portal vein circulation, ensuring that the hepatic artery circulation and portal vein circulation gradually change to match the circulatory metabolic pattern.

[0081] See also Figure 6 As shown, the present invention provides a liver perfusion control system based on image recognition, which includes the following modules:

[0082] A thermal imaging recognition module is used to recognize thermal imaging images of the isolated liver during perfusion to obtain temperature data;

[0083] A calibration module is used to calibrate abnormal activity areas of the isolated liver based on temperature data;

[0084] Deterioration estimation module, used to identify the changing trend of abnormal activity areas of the hepatic artery and portal vein and estimate the time point of circulation deterioration of the hepatic artery and portal vein;

[0085] a difference determination module for determining a metabolic difference between the hepatic artery and the portal vein based on metabolic data associated with a circulatory deterioration time node;

[0086] a target parameter determination module, for determining target perfusion parameters based on metabolic differences;

[0087] The perfusion adjustment module is used to dynamically adjust the perfusion operations of the hepatic artery and portal vein according to real-time perfusion parameters and target perfusion parameters.

[0088] Furthermore, the thermal imaging recognition module is used to identify the thermal imaging image of the isolated liver during perfusion to obtain temperature data; based on the temperature data, the abnormal activity area of ​​the isolated liver is calibrated, specifically:

[0089] Identifying the state data of the hepatic artery circulation and portal vein circulation during perfusion of the isolated liver, determining whether the isolated liver is in a stable physiological circulation state, and acquiring thermal imaging images of the isolated liver in a stable physiological circulation state; wherein the state data includes pressure data of the hepatic artery and portal vein, and perfusion fluid composition data;

[0090] By comparing the temperature data extracted from the thermal imaging image with the preset reference temperature data, the spatial distribution of the temperature difference of the isolated liver is obtained, thereby calibrating the abnormal activity area of ​​the isolated liver.

[0091] Furthermore, the degradation estimation module is used to identify the changing trend of abnormal activity areas of the hepatic artery and portal vein and estimate the time nodes of circulation degradation of the hepatic artery and portal vein, specifically:

[0092] Identify the changing trends of the abnormal activity areas of the hepatic artery and portal vein, and determine the time series of key parts of the hepatic artery and portal vein covered by the abnormal activity areas;

[0093] Based on the time series, the circulatory deterioration time nodes of the hepatic artery and portal vein are estimated. The circulatory deterioration time node refers to the time point when the proportion of key parts covered by abnormally active areas under the hepatic artery or portal vein reaches the preset proportion threshold.

[0094] Furthermore, the difference determination module is used to determine the metabolic difference between the hepatic artery and the portal vein based on the metabolic data associated with the circulatory degradation time node, specifically:

[0095] Obtaining blood composition change data for the hepatic artery and portal vein during a corresponding time interval prior to the circulatory deterioration time point; identifying the blood composition change data to determine metabolic differences between the hepatic artery and portal vein; wherein the metabolic differences include differences in the rates of nutrient consumption in the perfusion fluid between the hepatic artery and portal vein;

[0096] The target parameter determination module is used to determine the target perfusion parameters based on metabolic differences, specifically:

[0097] Based on the metabolic differences, the target perfusion parameters required by the hepatic arterial circulation and the portal venous circulation of the isolated liver are determined when the hepatic arterial circulation and the portal venous circulation reach metabolic equilibrium; wherein the target perfusion parameters include the target perfusion flow rate and the target perfusion temperature.

[0098] Furthermore, the perfusion adjustment module is used to dynamically adjust the perfusion operations of the hepatic artery and portal vein according to the real-time perfusion parameters and the target perfusion parameters, specifically:

[0099] identifying a difference between a real-time perfusion parameter of the isolated liver and a target perfusion parameter, and determining a change value of the perfusion operation parameter of the hepatic artery and the portal vein according to the difference value and an acceptable perfusion change limit value of the hepatic artery and the portal vein;

[0100] According to the change value of the perfusion operation parameter, the perfusion operation parameters of the hepatic artery and portal vein are dynamically adjusted.

[0101] The operation and effects of the liver perfusion control system based on image recognition of the present invention are corresponding to and consistent with the above-mentioned liver perfusion control method based on image recognition, and the liver perfusion control system based on image recognition will not be repeated here.

[0102] Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by adding the necessary general-purpose hardware platform, or of course, by combining hardware and software. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the prior art, can be embodied in the form of a computer product. The present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0103] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it, and other embodiments may also be used. Although the present invention has been described in detail with reference to the aforementioned embodiments, ordinary technicians in this field should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for regulating liver perfusion based on image recognition, characterized in that: The method comprises the following steps: S1: Identifying a thermal imaging image of an isolated liver during perfusion to obtain temperature data; and calibrating an abnormal activity area of ​​the isolated liver based on the temperature data; S2: Identify the changing trend of the abnormal activity areas of the hepatic artery and portal vein, and estimate the time point of circulation deterioration of the hepatic artery and portal vein, specifically: Identifying the changing trends of the ranges of the abnormally active regions of the hepatic artery and portal vein, and determining the time series in which the key parts of the hepatic artery and portal vein are covered by the abnormally active regions; Based on the time series, estimating a circulatory deterioration time point for each of the hepatic artery and the portal vein; wherein the circulatory deterioration time point refers to the time point at which the proportion of key locations under the hepatic artery or the portal vein covered by abnormally active areas reaches a preset proportion threshold; S3: Determine a metabolic difference between the hepatic artery and the portal vein based on the metabolic data associated with the circulatory degradation time node; and determine a target perfusion parameter based on the metabolic difference, specifically: Obtaining blood component change data for each of the hepatic artery and the portal vein during a corresponding time interval before the circulatory deterioration time point; identifying the blood component change data to determine a metabolic difference between the hepatic artery and the portal vein; wherein the metabolic difference includes a difference in the rate of consumption of nutrients in the perfusion fluid between the hepatic artery and the portal vein; determining target perfusion parameters required for the hepatic arterial circulation and the portal venous circulation of the isolated liver when the hepatic arterial circulation and the portal venous circulation reach metabolic equilibrium based on the metabolic difference; wherein the target perfusion parameters include a target perfusion flow rate and a target perfusion temperature; S4: Dynamically adjusting the perfusion operations of the hepatic artery and the portal vein according to the real-time perfusion parameters and the target perfusion parameters.

2. The method according to claim 1, characterized in that In S1, a thermal imaging image of an isolated liver during perfusion is identified to obtain temperature data; and based on the temperature data, an abnormal activity area of ​​the isolated liver is calibrated, specifically: identifying state data of the hepatic artery circulation and portal vein circulation during perfusion of the isolated liver, determining whether the isolated liver is in a stable physiological circulation state, and acquiring a thermal imaging image of the isolated liver in the stable physiological circulation state; wherein the state data includes pressure data of the hepatic artery and portal vein, and perfusion fluid composition data; The temperature data extracted from the thermal imaging image is compared with preset reference temperature data to obtain the spatial distribution of temperature differences of the isolated liver, thereby calibrating the abnormal activity area of ​​the isolated liver.

3. The method according to claim 1, characterized in that In S4, the perfusion operations of the hepatic artery and the portal vein are dynamically adjusted according to the real-time perfusion parameters and the target perfusion parameters, specifically: identifying a difference between a real-time perfusion parameter of the isolated liver and the target perfusion parameter, and determining a change value of the perfusion operation parameter for each of the hepatic artery and the portal vein based on the difference and an acceptable perfusion change limit for each of the hepatic artery and the portal vein; The perfusion operation parameters of the hepatic artery and the portal vein are dynamically adjusted according to the change value of the perfusion operation parameter.

4. A liver perfusion control system based on image recognition, characterized in that: The system includes the following modules: A thermal imaging recognition module is used to recognize thermal imaging images of the isolated liver during perfusion to obtain temperature data; a calibration module, configured to calibrate an abnormal activity area of ​​the isolated liver according to the temperature data; The degradation estimation module is used to identify the changing trend of the abnormal activity area of ​​the hepatic artery and portal vein and estimate the time node of the circulation degradation of the hepatic artery and portal vein, specifically: Identifying the changing trends of the ranges of the abnormally active regions of the hepatic artery and portal vein, and determining the time series in which the key parts of the hepatic artery and portal vein are covered by the abnormally active regions; Based on the time series, estimating a circulatory deterioration time point for each of the hepatic artery and the portal vein; wherein the circulatory deterioration time point refers to the time point at which the proportion of key locations under the hepatic artery or the portal vein covered by abnormally active areas reaches a preset proportion threshold; A difference determination module is configured to determine the metabolic difference between the hepatic artery and the portal vein based on the metabolic data associated with the circulatory degradation time node, specifically: Obtaining blood component change data for each of the hepatic artery and the portal vein during a corresponding time interval before the circulatory deterioration time point; identifying the blood component change data to determine a metabolic difference between the hepatic artery and the portal vein; wherein the metabolic difference includes a difference in the rate of consumption of nutrients in the perfusion fluid between the hepatic artery and the portal vein; The target parameter determination module is used to determine the target perfusion parameters according to the metabolic differences, specifically: determining target perfusion parameters required for the hepatic arterial circulation and the portal venous circulation of the isolated liver when the hepatic arterial circulation and the portal venous circulation reach metabolic equilibrium based on the metabolic difference; wherein the target perfusion parameters include a target perfusion flow rate and a target perfusion temperature; The perfusion adjustment module is used to dynamically adjust the perfusion operations of the hepatic artery and the portal vein according to the real-time perfusion parameters and the target perfusion parameters.

5. The system according to claim 4, characterized in that The thermal imaging recognition module is used to recognize the thermal imaging image of the isolated liver during perfusion to obtain temperature data; and to demarcate the abnormal activity area of ​​the isolated liver based on the temperature data, specifically: identifying state data of the hepatic artery circulation and portal vein circulation during perfusion of the isolated liver, determining whether the isolated liver is in a stable physiological circulation state, and acquiring a thermal imaging image of the isolated liver in the stable physiological circulation state; wherein the state data includes pressure data of the hepatic artery and portal vein, and perfusion fluid composition data; The temperature data extracted from the thermal imaging image is compared with preset reference temperature data to obtain the spatial distribution of temperature differences of the isolated liver, thereby calibrating the abnormal activity area of ​​the isolated liver.

6. The system according to claim 4, characterized in that The perfusion adjustment module is used to dynamically adjust the perfusion operations of the hepatic artery and the portal vein according to the real-time perfusion parameters and the target perfusion parameters, specifically: identifying a difference between a real-time perfusion parameter of the isolated liver and the target perfusion parameter, and determining a change value of the perfusion operation parameter for each of the hepatic artery and the portal vein based on the difference and an acceptable perfusion change limit for each of the hepatic artery and the portal vein; The perfusion operation parameters of the hepatic artery and the portal vein are dynamically adjusted according to the change value of the perfusion operation parameter.

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