A method for determining a coronary artery overall resistance evaluation parameter and related device
Patent Information
- Application Number
- CN202611098320.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-07-23
- Publication Date
- 2026-10-09
AI Technical Summary
[0005]本申请实施例提供一种冠状动脉整体阻力评估参数的确定方法,用以解决现有技术中无法对整体供血阻力参数进行准确计算与量化对比的问题
采用本申请实施例提供的方法,通过获取主动脉根部邻近目标冠状动脉开口的预设区域压力,以及获取与目标冠状动脉开口对应的代表性冠状动脉血管内的血流速度,并基于预设区域压力与血流速度确定冠状动脉整体阻力评估参数,能够将冠状动脉开口上游驱动因素与对应供血通路的血流响应进行关联表征,从而实现对目标冠状动脉供血通路整体供血阻力参数的准确计算,为干预事件前后的统一量化对比提供可靠的数据处理基础。
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Figure CN122873933A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of smart healthcare technology, and in particular to a method and related equipment for determining parameters for assessing overall coronary artery resistance. Background Technology
[0002] Currently, coronary artery function parameters are widely used in hemodynamic analysis. Existing general analytical parameters mainly include local fluid parameters for large vessel stenosis and resistance parameters for distal microcirculation. Among them, local fluid parameters are mainly used to assess fluid abnormalities at specific stenotic locations in the lumen; while distal resistance parameters are mainly used to evaluate the resistance status of the distal microcirculatory bed.
[0003] However, in complex flow field changes such as valve replacement, intervention at major vessel bifurcation, treatment of left main coronary artery disease, and pre- and post-operative / intra-operative / follow-up evaluations, the hemodynamic state of the coronary artery network is often influenced by a complex interplay of multiple mechanisms. For example, the application of specific external intervention events can not only alter the spatial structure and hemodynamic background of the aortic sinus but may also mechanically compress the coronary ostia, accompanied by changes in the inlet driving source and dynamic adjustments in downstream microcirculatory resistance.
[0004] Existing parameters for evaluating coronary artery function, such as fractional flow reserve (FFR) and microcirculation resistance index (IMR), are biased towards assessing local coronary artery stenosis or evaluating terminal microcirculation resistance, respectively. The evaluation objects are relatively isolated, and the reference values for coronary artery ostium pressure or intravascular pressure on which they rely are difficult to measure stably in some interventional scenarios, or may be affected by interventional devices such as catheters, pressure guidewires, and valve stents, thus failing to accurately reflect the overall blood supply status of the patient's coronary arteries. Therefore, it is difficult to accurately calculate and quantify the changes in overall coronary artery blood supply resistance before and after the intervention event. Summary of the Invention
[0005] This application provides a method for determining the parameters for assessing overall coronary artery resistance, thereby addressing the problem in the prior art that it is impossible to accurately calculate and quantify the parameters for overall blood supply resistance.
[0006] This application also provides an apparatus for determining parameters for assessing overall coronary artery resistance, an electronic device, and a computer-readable storage medium.
[0007] The embodiments of this application adopt the following technical solutions: In a first aspect, embodiments of this application provide a method for determining parameters for assessing overall coronary artery resistance, including: Obtain the pressure in a predefined region near the ostium of the target coronary artery at the aortic root; Obtain the blood flow velocity in a representative coronary artery corresponding to the opening of the target coronary artery. The representative coronary artery is a main coronary artery or a main branch coronary artery used to characterize the blood flow response of the coronary artery supply pathway corresponding to the opening of the target coronary artery. The parameters for assessing overall coronary artery resistance are determined based on preset regional pressure and blood flow velocity. Output parameters for assessing overall coronary artery resistance.
[0008] Optionally, parameters for assessing overall coronary artery resistance can be determined based on preset regional pressure and blood flow velocity, including: Calculate the ratio of pressure to blood flow velocity in the preset area; The ratio was determined as a parameter for assessing overall coronary artery resistance.
[0009] Optionally, the target coronary artery ostium is either the left coronary artery ostium or the right coronary artery ostium; When the target coronary artery opening is the left coronary artery opening, the representative coronary artery vessel corresponding to the target coronary artery opening is the left anterior descending artery. When the target coronary artery opening is the right coronary artery opening, the representative coronary artery vessel corresponding to the target coronary artery opening is the right coronary artery.
[0010] Optionally, obtain the blood flow velocity within a representative coronary artery corresponding to the target coronary artery ostium, including: Three-dimensional reconstruction of representative coronary arteries was performed to obtain the length of representative coronary arteries; Based on the frame difference corresponding to the length of blood flow front passing through a representative coronary artery in the angiography sequence and the frame rate of the angiography sequence, the passage time corresponding to the length of blood flow front passing through the vessel is determined. Blood flow velocity is determined based on vessel length and transit time.
[0011] Optionally, the method further includes: The preset area pressure and blood flow velocity at the first acquisition time point are obtained, and the overall resistance assessment parameters of the first coronary artery are determined based on the preset area pressure and blood flow velocity at the first acquisition time point. The preset area pressure and blood flow velocity at the second acquisition time point are obtained, and the overall resistance assessment parameters of the second coronary artery are determined based on the preset area pressure and blood flow velocity at the second acquisition time point. Based on the first and second overall coronary artery resistance assessment parameters, the parameters for changes in overall coronary artery resistance are determined. Output parameters showing changes in overall coronary artery resistance.
[0012] Optionally, the method further includes: Based on the correspondence between the overall coronary artery resistance change parameter and at least one preset threshold range, determine the status identifier corresponding to the overall coronary artery resistance change parameter; Output status flags.
[0013] Optionally, the method further includes: Obtain at least one additional parameter, which may include at least one of the following: valve mechanical function parameters, cardiac function parameters, structural imaging parameters, microcirculation-related parameters, and prognostic event information; Based on the correspondence between the additional parameters and the overall coronary artery resistance change parameters, at least one candidate factor identifier is identified; Output at least one candidate factor identifier.
[0014] Secondly, embodiments of this application provide a device for determining parameters for assessing overall coronary artery resistance, including a pressure acquisition module, a flow velocity acquisition module, a parameter determination module, and a parameter output module, wherein: The pressure acquisition module is used to acquire the pressure in a preset area near the ostium of the target coronary artery at the aortic root; The flow velocity acquisition module is used to acquire the blood flow velocity in a representative coronary artery corresponding to the target coronary artery opening. The representative coronary artery is a main coronary artery or a main branch coronary artery used to characterize the blood flow response of the coronary artery supply pathway corresponding to the target coronary artery opening. The parameter determination module is used to determine the overall coronary artery resistance assessment parameters based on preset area pressure and blood flow velocity. The parameter output module is used to output parameters for assessing overall coronary artery resistance.
[0015] Thirdly, embodiments of this application provide an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the method for determining the overall coronary artery resistance assessment parameters as described above.
[0016] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the method for determining the overall coronary artery resistance assessment parameters as described above.
[0017] The above-described technical solutions adopted in the embodiments of this application can achieve the following beneficial effects: The method provided in this application obtains the pressure in a preset region near the ostium of the target coronary artery at the aortic root, and the blood flow velocity in a representative coronary artery corresponding to the ostium of the target coronary artery. Based on the preset region pressure and blood flow velocity, the overall coronary artery resistance assessment parameters are determined. This method can correlate and characterize the upstream driving factors of the coronary artery ostium with the blood flow response of the corresponding blood supply pathway, thereby achieving accurate calculation of the overall blood supply resistance parameters of the target coronary artery blood supply pathway. This provides a reliable data processing basis for unified quantitative comparison before and after intervention events. Attached Figure Description
[0018] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings: Figure 1 A schematic diagram illustrating the implementation process of a method for determining parameters for assessing overall coronary artery resistance, provided in an embodiment of this application; Figure 2 This application provides a schematic diagram of the specific structure of a device for determining parameters for assessing overall coronary artery resistance, as described in an embodiment of the present application. Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation
[0019] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0020] The technical solutions provided by the various embodiments of this application are described in detail below with reference to the accompanying drawings.
[0021] To address the shortcomings of existing coronary artery function evaluation parameters such as FFR and IMR, which are biased towards assessing local coronary artery stenosis or evaluating terminal microcirculation resistance, resulting in relatively isolated evaluation objects, and the reference values of proximal coronary artery ostium pressure or intravascular pressure upon which they rely are difficult to measure stably in some interventional scenarios, or may be affected by interventional devices and cannot accurately reflect the overall blood supply status of the patient's coronary arteries, thus making it difficult to accurately calculate and quantify changes in overall coronary artery blood supply resistance, this application provides a method for determining parameters for assessing overall coronary artery resistance.
[0022] Specifically, the implementation flow of the method provided in this application embodiment is as follows: Figure 1 As shown, it includes the following steps: Step 102: Obtain the pressure in a preset area near the ostium of the target coronary artery at the aortic root.
[0023] The aortic root can refer to the proximal aortic region above the aortic valve and connected to the coronary artery opening.
[0024] In some embodiments, the target coronary artery ostium can be a left coronary artery ostium or a right coronary artery ostium; wherein, when the target coronary artery ostium is a left coronary artery ostium, the representative coronary artery vessel corresponding to the target coronary artery ostium is the left anterior descending artery; when the target coronary artery ostium is a right coronary artery ostium, the representative coronary artery vessel corresponding to the target coronary artery ostium is the right coronary artery.
[0025] The preset region can be a local spatial region adjacent to the ostium of the target coronary artery, used to characterize the measurement location of the upstream driving pressure of the target coronary artery ostium; correspondingly, the pressure in the preset region can be the instantaneous pressure value, average pressure value, filtered pressure value collected in the preset region, or the representative pressure value statistically obtained within the preset cardiac cycle phase.
[0026] In some implementations, a fluid-transmitting pressure acquisition path can be used to obtain the pressure of a preset area. Specifically, an external three-way valve connects a pressure sensor to an angiography catheter. After zero-point calibration of the pressure sensor, the angiography catheter is advanced to a preset area near the opening of the target coronary artery at the aortic root. The angiography catheter then transmits the pressure signal from the preset area to the pressure sensor, thereby obtaining the pressure of the preset area. Using this implementation, pressure data can be acquired using conventional catheters and pressure acquisition hardware already configured in the hemodynamic monitoring system or angiography system. This facilitates time synchronization with the subsequent flow velocity reconstruction process, thereby improving the feasibility and data consistency of the overall resistance assessment parameter calculation process.
[0027] In another embodiment, a pressure sensing unit can be used, located at the distal end of the catheter, a pressure guidewire, or a miniature pressure probe. Once the sensing unit reaches a predetermined area near the ostium of the target coronary artery at the aortic root, the pressure in that area can be directly acquired. Compared to fluid-based pressure transmission pathways, this embodiment reduces the influence of the catheter lumen, connecting tubing, or transducer on the pressure waveform transmission, thereby improving the spatial positioning accuracy and waveform fidelity of the pressure in the predetermined area.
[0028] In another implementation, the preset region pressure does not necessarily need to be measured in real time during the current step; it can also be derived from pressure data already stored in existing hemodynamic acquisition equipment, angiography workstations, pressure monitoring modules, or data servers. In this case, the preset region pressure data corresponding to the target coronary artery ostium can be read and retrieved based on timestamps, acquisition sequence numbers, equipment synchronization signals, ECG trigger signals, or angiography frame sequences.
[0029] The following describes, in conjunction with a real-world scenario, how step 102 in the embodiments of this application is specifically implemented in practice.
[0030] In one specific embodiment, for example, a fluid-transmitting pressure acquisition path can be used to acquire the pressure in a preset region near the ostium of the target coronary artery at the aortic root. Specifically, firstly, the pressure sensor can be connected to a 6F angiography catheter via a three-way valve, and zero-point calibration can be performed externally. Subsequently, the angiography catheter is inserted into the aortic root, and the distal end of the catheter is positioned in a preset region near the ostium of the left coronary artery. The preset region can be set to a region adjacent to the center of the left coronary artery ostium, ranging from 2 mm to 5 mm.
[0031] After catheter localization, pressure waveform data is continuously acquired for 3 seconds at a sampling frequency of 200Hz, resulting in 600 raw pressure sampling points. Subsequently, the raw pressure waveform is low-pass filtered, and a diastolic sampling window is selected based on the ECG trigger signal over five consecutive cardiac cycles. Representative pressure values of 84.9 mmHg, 85.4 mmHg, 84.7 mmHg, 85.1 mmHg, and 85.0 mmHg are obtained within these five diastolic sampling windows. The average of these five representative pressure values is 85.02 mmHg, which is used as the preset pressure for the area adjacent to the ostium of the left coronary artery at the aortic root.
[0032] Within the same acquisition session, the angiography system simultaneously records the angiographic sequence and corresponding timestamps of representative coronary arteries. The workstation reads the preset region pressure of 85.02 mmHg and its timestamp, and uses this as the pressure input for subsequent calculations of overall coronary artery resistance assessment parameters. If it is subsequently confirmed that the pressure difference between the region adjacent to the right coronary artery ostium and the region adjacent to the left coronary artery ostium is less than a preset allowable difference, such as 2 mmHg, then this preset region pressure of 85.02 mmHg can also be used as a shared pressure input for calculating the overall resistance assessment parameters corresponding to the right coronary artery ostium.
[0033] Using the above method, preset area pressure data can be obtained that clearly corresponds to the spatial location of the target coronary artery opening and can be synchronized with subsequent blood flow velocity data in time.
[0034] It should be noted that the above-described implementation of obtaining the pressure of a preset area near the opening of the target coronary artery at the aortic root is merely an exemplary illustration in the embodiments of this application and does not impose any limitation on the embodiments of this application.
[0035] Step 104: Obtain the blood flow velocity in a representative coronary artery corresponding to the opening of the target coronary artery. The representative coronary artery is a main coronary artery or a main branch coronary artery used to characterize the blood flow response of the coronary artery supply pathway corresponding to the opening of the target coronary artery.
[0036] The representative coronary artery can be the main coronary artery or a major branch corresponding to the ostium of the target coronary artery. For example, when the target coronary artery ostium is the left coronary artery, the representative coronary artery can be the left anterior descending artery; when the target coronary artery ostium is the right coronary artery, the representative coronary artery can be the right coronary artery. Here, representativeness can be understood as the flow velocity within the coronary artery reflecting not only the fluid state near the local stenosis point but also the combined influence of upstream driving conditions, intermediate pathway morphology, and downstream perfusion bed state. Therefore, it can be used to characterize the overall blood flow response of the coronary artery supply pathway corresponding to the ostium of the target coronary artery.
[0037] In some implementations, blood flow velocity can be instantaneous velocity, average velocity, representative velocity value obtained statistically within a preset time window, or velocity value after filtering and time matching.
[0038] In some implementations, blood flow velocity within representative coronary arteries can be obtained by combining angiographic sequences with vascular geometric reconstruction. Specifically, an angiographic image sequence containing representative coronary arteries can be acquired first, and then three-dimensional reconstruction of the representative coronary arteries can be performed based on the angiographic image sequence to obtain the vessel length of the representative coronary arteries along the blood flow direction. Subsequently, the start and end positions of the contrast agent flow front within the representative coronary arteries can be identified in the angiographic image sequence, and the frame difference corresponding to the length of the vessel through which the flow front passes can be determined. Then, combined with the frame rate of the angiographic image sequence, the transit time corresponding to the length of the vessel through which the flow front passes can be determined, and the blood flow velocity can be determined based on the vessel length and transit time. Using this implementation method, velocity reconstruction can be completed using image data already acquired in a standard angiographic examination procedure, facilitating time correlation with preset region pressure data, thereby improving the consistency and feasibility of the overall resistance assessment parameter calculation process.
[0039] In one implementation, the formula for calculating the blood flow velocity can be expressed as:
[0040] in, Indicates blood flow velocity; Indicates the length of the blood vessel; Indicates the time elapsed.
[0041] In one implementation, by time The calculation formula can be expressed as:
[0042] in, This represents the frame difference corresponding to the length of the blood flow front passing through the blood vessel; This indicates the frame rate of the imaging image sequence.
[0043] In some implementations, the frame rate of the angiographic image sequence can be obtained using the TIMI frame counting method. The TIMI frame counting method can be understood as follows: in the angiographic image sequence, the image frame at a predetermined starting position of the contrast agent entering a representative coronary artery is used as the starting frame, and the image frame at a predetermined ending position of the contrast agent in a representative coronary artery is used as the ending frame. The difference in the number of frames between the ending frame and the starting frame represents the number of image frames consumed by the contrast agent as it travels through the vessel length. Using this implementation, the blood flow propagation process in the image sequence can be converted into a quantifiable time parameter, thereby providing a data basis for determining blood flow velocity.
[0044] In some implementations, 3D reconstruction can be performed using an angiography workstation, post-processing software, or a server. 3D reconstruction may include contour extraction, centerline extraction, length calculation, and spatial geometric correction of representative coronary arteries in the angiographic images. This implementation reduces the impact of projection angle, vessel curvature, and the shortening effect of 2D imaging on vessel length measurement, thereby improving the accuracy of blood flow velocity calculation.
[0045] In other implementations, blood flow velocity can also be obtained through two-dimensional length correction. Specifically, the projected length of a representative coronary artery in the image plane can be determined based on a single-angle angiographic image, and then corrected using catheter calibration scales, preset correction coefficients, or known geometric scales. The blood flow velocity is then determined by combining the passage time corresponding to the corrected length of the blood flow front. This implementation method allows for approximate acquisition of blood flow velocity even when complete three-dimensional reconstruction is lacking, thereby improving the adaptability of the technical solution to different equipment environments.
[0046] In some alternative implementations, to reduce the impact of image noise, respiratory artifacts, or transient flow fluctuations on the velocity results, the blood flow velocity can also be obtained by statistically analyzing velocity results across multiple cardiac cycles, multiple sampling windows, or multiple angiographic sequences. The statistical results can be average velocity, median velocity, weighted average velocity, or other representative velocity values. This implementation reduces the impact of single-shot image recognition errors on the results, thereby improving the robustness of blood flow velocity as an input parameter for subsequent overall resistance assessment.
[0047] It should be noted that the above-described methods for obtaining representative coronary artery intravascular blood flow velocities can be implemented individually or in combination. For example, a first velocity value can be obtained first through angiography and three-dimensional reconstruction, and then a representative velocity value can be obtained through multi-cycle statistical methods; alternatively, when three-dimensional reconstruction is insufficient, a two-dimensional length correction method can be used to obtain an approximate velocity value.
[0048] Secondly, the above-described methods for obtaining the blood flow velocity in representative coronary arteries corresponding to the target coronary artery opening are merely illustrative examples in this application and do not impose any limitations on the embodiments of this application.
[0049] The following describes, in conjunction with a real-world scenario, how step 104 in the embodiments of this application is specifically implemented in practice.
[0050] For example, in one specific embodiment, assuming the target coronary artery ostium is the left coronary artery ostium, the left anterior descending artery can be selected as the representative coronary artery vessel corresponding to the target coronary artery ostium. Angiographic image sequences containing the left anterior descending artery are acquired using an angiography system at a frame rate of 15 frames per second.
[0051] Subsequently, a three-dimensional reconstruction of the left anterior descending artery (LAD) was performed using an angiography workstation, obtaining a centerline length of 108 mm along the blood flow direction. Next, the starting frame (where the contrast agent flow front enters the LAD at a predetermined starting position) and the ending frame (where it reaches the predetermined ending position) were identified in the angiography image sequence. If the starting frame is frame 126 and the ending frame is frame 136, the frame difference is 10 frames. Based on a frame rate of 15 frames / second, the transit time corresponding to the contrast agent flow front traversing a vessel length of 108 mm can be determined to be 10 / 15 seconds, or 0.667 seconds.
[0052] Finally, based on the vessel length of 108 mm and the transit time of 0.667 seconds, the blood flow velocity within the left anterior descending artery was determined to be 161.9 mm / s. To improve the stability of the velocity results, velocity values of 158.4 mm / s, 161.9 mm / s, and 164.1 mm / s were calculated over three consecutive cardiac cycles, and the average of these three values was taken as 161.5 mm / s, which was then used as the representative blood flow velocity within the coronary artery corresponding to the opening of the left coronary artery.
[0053] In another specific embodiment, assuming the target coronary artery opening is the right coronary artery opening, the right coronary artery can be selected as the representative coronary artery. The length of the right coronary artery is obtained as 126 mm through 3D reconstruction. The frame rate of the angiographic image sequence is also 15 frames / second. The frame difference corresponding to the contrast agent blood flow front passing through the vessel length is 12 frames, resulting in a passage time of 0.8 seconds. Therefore, the blood flow velocity within the right coronary artery can be obtained as 157.5 mm / s.
[0054] Step 106: Determine the overall coronary artery resistance assessment parameters based on the preset regional pressure and blood flow velocity.
[0055] The overall coronary artery resistance assessment parameter can be understood as a numerical parameter reflecting the overall flow impedance characteristics of the coronary artery supply pathway corresponding to the target coronary artery ostium. Furthermore, this parameter is a comprehensive result formed by the combined effects of upstream driving pressure, intermediate vascular pathway status, and downstream perfusion bed status, and does not merely characterize the fluid state near a local stenosis point.
[0056] In some implementations, the overall coronary artery resistance assessment parameters can be determined using a direct ratio calculation method. Specifically, a preset region pressure can be used as the numerator input, blood flow velocity as the denominator input, and the overall coronary artery resistance assessment parameters can be generated based on the ratio of the two.
[0057] For example, in the embodiments of this application, the calculation formula for the overall coronary artery resistance assessment parameter can be expressed as:
[0058] in, Indicates parameters for assessing overall coronary artery resistance; This indicates the preset area pressure.
[0059] In some implementations, before determining the overall coronary artery resistance assessment parameters using preset regional pressure and blood flow velocity, the units of both can be standardized and the values calibrated. For example, pressure values can be uniformly converted to mmHg, kPa, or other preset pressure units, and blood flow velocities can be uniformly converted to preset velocity units such as mm / s, cm / s, or m / s, and parameter calculations can be performed after unit standardization. This implementation avoids distortion of parameter results due to inconsistent input units, thereby improving the consistency of coronary artery resistance assessment parameter calculations.
[0060] In some implementations, the pre-set region pressure and blood flow velocity can be time-matched before determining the overall coronary artery resistance assessment parameters using pre-set region pressure and blood flow velocity. Specifically, based on timestamps, ECG trigger signals, acquisition windows, angiography sequence numbers, or other synchronization information, the pre-set region pressure and blood flow velocity involved in the parameter calculation can correspond to the same cardiac cycle phase, the same acquisition window, or the same external trigger event. This implementation reduces input offset caused by different acquisition phases, thereby improving the consistency of the physical meaning of the overall coronary artery resistance assessment parameters.
[0061] In other implementations, to improve the robustness of the overall coronary artery resistance assessment parameters, multiple intermediate parameter values can be determined based on multiple cardiac cycles, multiple sampling windows, or multiple repeated acquisition results. Then, statistical processing is performed on these intermediate parameter values to obtain representative overall coronary artery resistance assessment parameters. Statistical processing may include averaging, medianing, weighted averaging, truncated averaging, or other representative processing methods. This implementation reduces the impact of single sampling errors, transient fluctuations, image recognition bias, or catheter disturbances on the results, thereby improving the stability of the overall coronary artery resistance assessment parameters.
[0062] In other implementations, the overall coronary artery resistance assessment parameters can also be generated through normalization or mapping. For example, based on the direct ratio calculation results, preset proportionality coefficients, unit conversion coefficients, equipment calibration parameters, or reference intervals can be further combined to scale, normalize, or map the direct ratio calculation results to generate standardized parameter results that are easy to use across different devices, different acquisition environments, or different data platforms. This implementation method can improve the consistency and compatibility of parameter results across different systems.
[0063] In some implementations, once the overall coronary artery resistance assessment parameters are determined, they can be output directly as numerical values, or they can be output in conjunction with timestamps, target coronary artery ostium identifiers, representative coronary artery vessel identifiers, data collection time information, or data source information. Using this implementation method, the overall coronary artery resistance assessment parameters can not only be recorded as single numerical values, but also serve as the basis for subsequent multi-timepoint comparisons, result display, report generation, or software calls.
[0064] It should be noted that the above implementation methods can be implemented individually or in combination. For example, time matching and unit unification can be performed on the preset area pressure and blood flow velocity first, and then the overall coronary artery resistance assessment parameters can be generated by direct ratio calculation; or, multiple intermediate parameter values can be generated first, and then the final representative overall coronary artery resistance assessment parameters can be obtained by multi-cycle statistics.
[0065] Step 108: Output the overall coronary artery resistance assessment parameters.
[0066] Optionally, the overall coronary artery resistance assessment parameter can be a single numerical result or a result data item associated with a single numerical result; wherein, the result data item may include the overall coronary artery resistance assessment parameter itself, as well as the target coronary artery ostium identifier, representative coronary artery vessel identifier, data collection time point information, timestamp, unit information, data source information, calculation version information or other auxiliary data associated with the parameter.
[0067] In some implementations, the overall coronary artery resistance assessment parameters can be output via a user interface. Specifically, after obtaining the overall coronary artery resistance assessment parameters, these parameters can be sent to a display interface, where they are displayed in at least one of the following ways: numerical values, characters, graphs, tables, curves, or lists. The display interface can be an angiography workstation interface, a hemodynamic analysis terminal interface, a server management interface, or other graphical user interfaces. Using this implementation, the operator can directly obtain the overall coronary artery resistance assessment parameter results corresponding to the target coronary artery ostium, thereby facilitating subsequent data verification, result viewing, and workflow integration.
[0068] In some implementations, the overall coronary artery resistance assessment parameters can also be output using a result storage method. Specifically, the overall coronary artery resistance assessment parameters and their associated data items can be written to local storage, a database, a case data table, angiography result files, structured report files, or other data containers. Using this implementation method, the overall coronary artery resistance assessment parameters can be stored long-term as traceable data results, facilitating cross-time point queries, repeated retrieval, subsequent statistics, or batch management.
[0069] In some implementations, coronary artery resistance assessment parameters can also be output via network transmission. Specifically, these parameters can be sent to coupled workstations, servers, cloud platforms, post-processing terminals, or other external devices through a communication interface. The communication interface can be a serial interface, Ethernet interface, wireless communication interface, or other data transmission interface. This implementation allows parameter results to be accessed by other systems without relying on a single acquisition device, thereby improving system deployment flexibility and result sharing capabilities.
[0070] In some alternative implementations, considering that the overall coronary artery resistance assessment parameters determined based on a single acquisition time point can typically only characterize the static resistance state at that corresponding acquisition time point, it is difficult to directly reflect the parameter change relationship between different acquisition time points. To avoid this problem, a preset area pressure and blood flow velocity at the first acquisition time point can be obtained, and a first overall coronary artery resistance assessment parameter can be determined based on the preset area pressure and blood flow velocity at the first acquisition time point; a preset area pressure and blood flow velocity at the second acquisition time point can be obtained, and a second overall coronary artery resistance assessment parameter can be determined based on the preset area pressure and blood flow velocity at the second acquisition time point; the overall coronary artery resistance change parameter can be determined based on the first and second overall coronary artery resistance assessment parameters; and the overall coronary artery resistance change parameter can be output.
[0071] The first and second acquisition points can be two acquisition points for the same object at different times, such as the baseline acquisition point and the subsequent acquisition point, the pre-intervention acquisition point and the post-intervention acquisition point, or the pre-operative acquisition point and the post-operative acquisition point.
[0072] In this embodiment, the preset area pressure at the first acquisition time point and the preset area pressure at the second acquisition time point are pressure data obtained in a preset area near the same target coronary artery opening at the aortic root; the blood flow velocity at the first acquisition time point and the blood flow velocity at the second acquisition time point are the blood flow velocities in the same representative coronary artery corresponding to the same target coronary artery opening.
[0073] In this embodiment, the overall coronary artery resistance variation parameter can be expressed as follows:
[0074] Among them, represents the overall coronary artery resistance change parameter; represents the preset area pressure obtained at the time of collection after intervention or postoperatively; represents the blood flow velocity obtained at the time of collection after intervention or postoperatively; represents the preset area pressure obtained at the time of collection before intervention or preoperatively; and represents the blood flow velocity obtained at the time of collection before intervention or preoperatively.
[0075] In some optional implementations, considering that simply outputting the coronary artery overall resistance change parameter in continuous numerical form is not convenient for unified classification and structured processing of results from multiple objects and multiple time points, in this embodiment of the application, when the coronary artery overall resistance change parameter has been determined, the status identifier corresponding to the coronary artery overall resistance change parameter can also be determined and output based on the correspondence between the coronary artery overall resistance change parameter and at least one preset threshold interval.
[0076] At least one preset threshold interval can be understood as: one or more pre-defined numerical intervals used to divide the overall coronary artery resistance change parameter into intervals. A status identifier can be understood as: a result identifier corresponding to the interval containing the overall coronary artery resistance change parameter; the status identifier can be a character identifier, a code identifier, a sequence number identifier, a level identifier, or other structured identifier. Outputting the status identifier can include: displaying the status identifier on the display interface, writing the status identifier to a database, storing the status identifier in association with the overall coronary artery resistance change parameter, or sending the status identifier to a subsequent processing module.
[0077] In one implementation, multiple preset threshold intervals that are consecutive or mutually exclusive can be pre-set. Specifically, a first preset threshold interval, a second preset threshold interval, and a third preset threshold interval can be set, and each of these intervals can correspond to a different state identifier. When the overall coronary artery resistance change parameter falls within the first preset threshold interval, a first state identifier is determined; when the overall coronary artery resistance change parameter falls within the second preset threshold interval, a second state identifier is determined; and when the overall coronary artery resistance change parameter falls within the third preset threshold interval, a third state identifier is determined.
[0078] In some implementations, at least one preset threshold range can be set according to the object type, acquisition scenario, target coronary artery ostium type, representative coronary artery vessel type, intervention event type, or system configuration strategy. For example, different preset threshold ranges can be configured for different intervention events, or different preset threshold ranges can be configured for the left and right blood supply pathways respectively.
[0079] In some implementations, considering that it is often difficult to further reflect the correlation characteristics between different additional information and the overall coronary artery resistance change parameters based solely on the overall coronary artery resistance change parameters or status identifiers, in this embodiment, when the overall coronary artery resistance change parameters have been determined, at least one additional parameter can be obtained. The additional parameter includes at least one of valve mechanical function parameters, cardiac function parameters, structural imaging parameters, microcirculation-related parameters, and prognostic event information. Based on the correspondence between the additional parameter and the overall coronary artery resistance change parameters, at least one candidate factor identifier is determined and then output. In this way, since the candidate factor identifier is generated based on the correspondence between the additional parameter and the overall coronary artery resistance change parameters, the collaborative processing capability of multi-source data, the structured degree of the output results, and the flexibility of subsequent module calls can be improved while retaining the quantitative results of the overall coronary artery resistance change parameters.
[0080] The additional parameters can be understood as: in addition to the preset regional pressure and blood flow velocity used to determine the overall resistance change parameters of the coronary arteries, other data parameters used to further characterize the status of the coronary artery blood supply pathway. Valve mechanical function parameters can be the aortic valve mean transvalvular pressure gradient, peak flow velocity, regurgitation degree, or other data parameters used to characterize the valve's mechanical state; cardiac function parameters can be left ventricular ejection fraction, left ventricular end-diastolic volume, left ventricular end-systolic volume, or other data parameters used to characterize the heart's pumping function; structural imaging parameters can be aortic root geometry, coronary artery ostium location parameters, sinus spatial morphology parameters, stent / valve implantation structural location parameters, or other structural data extracted from images; microcirculation-related parameters can be resistance parameters, perfusion parameters, flow parameters, or other microcirculation characterization parameters used to characterize the flow state of the terminal perfusion bed. Prognostic event information can include information such as cardiac death, myocardial infarction, stroke, and coronary revascularization. Candidate factor identifiers can be understood as result identifiers generated based on the correspondence between additional parameters and overall coronary artery resistance change parameters. Candidate factor identifiers can be character identifiers, code identifiers, serial number identifiers, level identifiers, or other structured identifiers.
[0081] In one implementation, at least one of the following parameters can be acquired: valve mechanical function parameters, cardiac function parameters, structural imaging parameters, and microcirculation-related parameters. These acquired additional parameters are then correlated with parameters showing changes in overall coronary artery resistance. The correlation processing may include: comparative relationship analysis, interval mapping, rule matching, weight calculation, conditional filtering, priority ranking, or other preset parameter correspondence processing methods.
[0082] In some implementations, the correspondence can be one-to-one, many-to-one, or one-to-many. For example, one additional parameter can correspond to one candidate factor identifier; the combined result of multiple additional parameters can also correspond to a single candidate factor identifier; or one additional parameter can correspond to different candidate factor identifiers in different numerical ranges.
[0083] In some implementations, at least one candidate factor identifier may include at least one of a first candidate factor identifier associated with valvular mechanical function parameters, a second candidate factor identifier associated with cardiac function parameters, a third candidate factor identifier associated with structural imaging parameters, and a fourth candidate factor identifier associated with microcirculation-related parameters. This implementation allows different categories of additional parameters to participate in the generation of candidate factor identifiers, thereby facilitating subsequent modules to classify, display, and manage them in a structured manner.
[0084] The method provided in this application obtains the pressure in a preset region near the ostium of the target coronary artery at the aortic root, and the blood flow velocity in a representative coronary artery corresponding to the ostium of the target coronary artery. Based on the preset region pressure and blood flow velocity, the overall coronary artery resistance assessment parameters are determined. This method can correlate and characterize the upstream driving factors of the coronary artery ostium with the blood flow response of the corresponding blood supply pathway, thereby achieving accurate calculation of the overall blood supply resistance parameters of the target coronary artery blood supply pathway. This provides a reliable data processing basis for unified quantitative comparison before and after intervention events.
[0085] To address the shortcomings of existing coronary artery function evaluation parameters such as FFR and IMR, which are biased towards assessing local coronary artery stenosis or evaluating distal microcirculation resistance, resulting in relatively isolated evaluation objects, and the reference values of proximal coronary artery ostium pressure or intravascular pressure upon which they rely are difficult to measure stably in some interventional scenarios, or may be affected by interventional devices and thus cannot accurately reflect the overall blood supply status of the patient's coronary arteries, making it difficult to accurately calculate and quantify changes in overall coronary artery resistance, this application provides a device for determining overall coronary artery resistance assessment parameters. A schematic diagram of the specific structure of this device is shown below. Figure 2 As shown, it includes a pressure acquisition module 21, a flow rate acquisition module 22, a parameter determination module 23, and a parameter output module 24. The functions of each module are as follows: Pressure acquisition module 21 is used to acquire the pressure of a preset area near the opening of the target coronary artery at the aortic root; The flow velocity acquisition module 22 is used to acquire the blood flow velocity in a representative coronary artery corresponding to the opening of the target coronary artery. The representative coronary artery is a main coronary artery or a main branch coronary artery used to characterize the blood flow response of the coronary artery supply pathway corresponding to the opening of the target coronary artery. The parameter determination module 23 is used to determine the overall coronary artery resistance assessment parameters based on the preset area pressure and blood flow velocity. The parameter output module 24 is used to output parameters for assessing overall coronary artery resistance.
[0086] Optionally, parameter determination module 23 is used for: Calculate the ratio of the pressure in the preset area to the blood flow velocity; The ratio is determined as the overall coronary artery resistance assessment parameter.
[0087] Optionally, the target coronary artery ostium is either the left coronary artery ostium or the right coronary artery ostium; When the target coronary artery opening is the left coronary artery opening, the representative coronary artery vessel corresponding to the target coronary artery opening is the left anterior descending artery. When the target coronary artery opening is the right coronary artery opening, the representative coronary artery vessel corresponding to the target coronary artery opening is the right coronary artery.
[0088] Optionally, the flow rate acquisition module 22 is used for: Three-dimensional reconstruction of representative coronary arteries was performed to obtain the length of representative coronary arteries; Based on the frame difference corresponding to the length of blood flow front passing through a representative coronary artery in the angiography sequence and the frame rate of the angiography sequence, the passage time corresponding to the length of blood flow front passing through the vessel is determined. Blood flow velocity is determined based on vessel length and transit time.
[0089] Optionally, the device for determining the overall coronary artery resistance assessment parameters is also used for: The preset area pressure and blood flow velocity at the first acquisition time point are obtained, and the overall resistance assessment parameters of the first coronary artery are determined based on the preset area pressure and blood flow velocity at the first acquisition time point. The preset area pressure and blood flow velocity at the second acquisition time point are obtained, and the overall resistance assessment parameters of the second coronary artery are determined based on the preset area pressure and blood flow velocity at the second acquisition time point. Based on the first and second overall coronary artery resistance assessment parameters, the parameters for changes in overall coronary artery resistance are determined. Output parameters showing changes in overall coronary artery resistance.
[0090] Optionally, the device for determining the overall coronary artery resistance assessment parameters is also used for: Based on the correspondence between the overall coronary artery resistance change parameter and at least one preset threshold range, determine the status identifier corresponding to the overall coronary artery resistance change parameter; Output status flags.
[0091] Optionally, the device for determining the overall coronary artery resistance assessment parameters is also used for: Obtain at least one additional parameter, which may include at least one of the following: valve mechanical function parameters, cardiac function parameters, structural imaging parameters, microcirculation-related parameters, and prognostic event information; Based on the correspondence between the additional parameters and the overall coronary artery resistance change parameters, at least one candidate factor identifier is identified; Output at least one candidate factor identifier.
[0092] Using the device provided in this application embodiment, by acquiring the pressure of a preset region near the target coronary artery opening at the aortic root and the blood flow velocity in a representative coronary artery corresponding to the target coronary artery opening, and determining the overall coronary artery resistance assessment parameters based on the preset region pressure and blood flow velocity, it is possible to correlate and characterize the upstream driving factors of the coronary artery opening with the blood flow response of the corresponding blood supply pathway, thereby achieving accurate calculation of the overall blood supply resistance parameters of the target coronary artery blood supply pathway, and providing a reliable data processing basis for unified quantitative comparison before and after intervention events.
[0093] Figure 3 To illustrate the hardware structure of an electronic device according to various embodiments of this application, the electronic device may include a processor 301 and a memory 302 storing computer program instructions. Specifically, the processor 301 may include a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of this application.
[0094] Memory 302 may include mass storage for data or instructions. For example, and not limitingly, memory 302 may include a hard disk drive (HDD), floppy disk drive, flash memory, optical disk, magneto-optical disk, magnetic tape, or Universal Serial Bus (USB) drive, or a combination of two or more of these. Where appropriate, memory 302 may include removable or non-removable (or fixed) media. Where appropriate, memory 302 may be internal or external to an electronic device. In a particular embodiment, memory 302 may be a non-volatile solid-state memory.
[0095] In one embodiment, memory 302 may be read-only memory (ROM). In one embodiment, the ROM may be a mask-programmed ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), an electrically rewritable ROM (EAROM), or flash memory, or a combination of two or more of these.
[0096] The processor 301 reads and executes computer program instructions stored in the memory 302 to implement any of the methods for determining the overall coronary artery resistance assessment parameters in the above embodiments.
[0097] In one example, the electronic device may also include a communication interface 303 and a bus 310. For example, Figure 3 As shown, the processor 301, memory 302, and communication interface 303 are connected through bus 310 and complete communication with each other.
[0098] The communication interface 303 is mainly used to realize communication between various modules, devices, units and / or equipment in the embodiments of this application.
[0099] Bus 310 includes hardware, software, or both, that couples components of an electronic device together. For example, and not limitingly, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an Infinite Bandwidth Interconnect, a Low Pin Count (LPC) bus, a memory bus, a Microchannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local (VLB) bus, or other suitable buses, or combinations of two or more of these. Where appropriate, bus 310 may include one or more buses. Although specific buses are described and illustrated in embodiments of this application, this application contemplates any suitable bus or interconnect.
[0100] Furthermore, in conjunction with the methods for determining the overall coronary artery resistance assessment parameters in the above embodiments, this application embodiment can provide a computer-readable storage medium for implementation. This computer-readable storage medium stores computer program instructions; when executed by a processor, these computer program instructions implement any of the methods for determining the overall coronary artery resistance assessment parameters in the above embodiments.
[0101] It should be clarified that this application is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of this application is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order of steps, after understanding the spirit of this application.
[0102] The above description is merely a specific implementation example of this application. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, modules, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.
[0103] Secondly, those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied 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.
[0104] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0105] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0106] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0107] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.
[0108] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.
[0109] Computer-readable media include both permanent and non-permanent, removable and non-removable media that can store information by any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.
[0110] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.
[0111] The above description is merely an embodiment of this application and is not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.
Claims
1. A method for determining parameters for assessing overall coronary artery resistance, characterized in that, include: Obtain the pressure in a predefined region near the ostium of the target coronary artery at the aortic root; Obtain the blood flow velocity in a representative coronary artery corresponding to the target coronary artery opening, wherein the representative coronary artery is a main coronary artery or a main branch coronary artery used to characterize the blood flow response of the coronary artery supply pathway corresponding to the target coronary artery opening; The overall coronary artery resistance assessment parameters are determined based on the preset region pressure and the blood flow velocity. Output the overall coronary artery resistance assessment parameters.
2. The method as described in claim 1, characterized in that, The determination of overall coronary artery resistance assessment parameters based on the preset region pressure and the blood flow velocity includes: Calculate the ratio of the pressure in the preset area to the blood flow velocity; The ratio is determined as the overall coronary artery resistance assessment parameter.
3. The method as described in claim 1, characterized in that, The target coronary artery opening is either the left coronary artery opening or the right coronary artery opening; When the target coronary artery opening is the left coronary artery opening, the representative coronary artery vessel corresponding to the target coronary artery opening is the left anterior descending artery. When the target coronary artery opening is the right coronary artery opening, the representative coronary artery vessel corresponding to the target coronary artery opening is the right coronary artery.
4. The method as described in claim 1, characterized in that, The step of obtaining the blood flow velocity within a representative coronary artery corresponding to the target coronary artery ostium includes: The representative coronary artery is reconstructed in three dimensions to obtain the length of the representative coronary artery. Based on the frame difference corresponding to the length of the blood flow front passing through the representative coronary artery in the angiography sequence and the frame rate of the angiography sequence, the passage time corresponding to the blood flow front passing through the length of the blood vessel is determined; The blood flow velocity is determined based on the blood vessel length and the passage time.
5. The method as described in claim 1, characterized in that, The method further includes: The preset area pressure and blood flow velocity at the first acquisition time point are obtained, and the first coronary artery overall resistance assessment parameters are determined based on the preset area pressure and blood flow velocity at the first acquisition time point. The preset area pressure at the second acquisition time point and the blood flow velocity at the second acquisition time point are obtained, and the second coronary artery overall resistance assessment parameters are determined based on the preset area pressure at the second acquisition time point and the blood flow velocity at the second acquisition time point. Based on the first overall coronary artery resistance assessment parameter and the second overall coronary artery resistance assessment parameter, determine the overall coronary artery resistance change parameter; Output the parameters of the overall coronary artery resistance change.
6. The method as described in claim 5, characterized in that, The method further includes: Based on the correspondence between the overall coronary artery resistance change parameter and at least one preset threshold range, determine the status identifier corresponding to the overall coronary artery resistance change parameter; Output the status identifier.
7. The method as described in claim 5 or 6, characterized in that, The method further includes: Obtain at least one additional parameter, which includes at least one of valve mechanical function parameters, cardiac function parameters, structural imaging parameters, microcirculation-related parameters, and prognostic event information; Based on the correspondence between the additional parameters and the overall coronary artery resistance change parameters, at least one candidate factor identifier is determined; Output the identifier of at least one candidate factor.
8. A device for determining parameters for assessing overall coronary artery resistance, characterized in that, It includes a pressure acquisition module, a flow rate acquisition module, a parameter determination module, and a parameter output module, wherein: The pressure acquisition module is used to acquire the pressure in a preset area near the ostium of the target coronary artery at the aortic root; The flow velocity acquisition module is used to acquire the blood flow velocity in a representative coronary artery corresponding to the target coronary artery opening, wherein the representative coronary artery is a main coronary artery or a main branch coronary artery used to characterize the blood flow response of the coronary artery supply pathway corresponding to the target coronary artery opening; The parameter determination module is used to determine the overall coronary artery resistance assessment parameters based on the preset area pressure and the blood flow velocity. The parameter output module is used to output the overall coronary artery resistance assessment parameters.
9. An electronic device, characterized in that, include: The memory, the processor, and the computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the method for determining the overall coronary artery resistance assessment parameters as described in any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the method for determining the overall coronary artery resistance assessment parameters as described in any one of claims 1 to 7.