WO2020093972A1 - 模拟血液流动的方法，装置，存储介质及电子设备 - Google Patents

模拟血液流动的方法，装置，存储介质及电子设备 Download PDF

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WO2020093972A1
WO2020093972A1 PCT/CN2019/115348 CN2019115348W WO2020093972A1 WO 2020093972 A1 WO2020093972 A1 WO 2020093972A1 CN 2019115348 W CN2019115348 W CN 2019115348W WO 2020093972 A1 WO2020093972 A1 WO 2020093972A1
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plasma
blood
attribute information
transfer parameter
flow
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PCT/CN2019/115348
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French (fr)
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张宇
刘健
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北京三普威盛科技有限公司
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders

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  • the present disclosure relates to the field of medical technology, and in particular, to a method, device, storage medium, and electronic device for simulating blood flow.
  • related technologies can be based on medical CT (Computed Tomography, electronic computer tomography) images and MRI (MagneticResonanceImaging, magnetic resonance imaging) contrast, to reconstruct the three-dimensional blood vessel shape of the coronary artery, and can also be further based on computational fluid mechanics technology, Noninvasive assessment of the hemodynamic status in blood vessels.
  • medical CT Computer Tomography
  • MRI MagneticResonanceImaging, magnetic resonance imaging
  • the present disclosure provides a method, device, storage medium, and electronic equipment for simulating blood flow.
  • a first aspect of the embodiments of the present disclosure provides a method for simulating blood flow, the method includes:
  • the attribute information of the target particles in the blood determine the momentum transfer parameter between the target particles and the plasma
  • the flow of blood is simulated based on the momentum transfer parameter and the attribute information of the plasma.
  • the attribute information includes a volume fraction of the target particle, a movement speed, and an apparent density
  • determining the momentum transfer parameter between the target particle and plasma according to the attribute information of the target particle in the blood includes: :
  • the momentum transfer parameter is determined by the following formula:
  • ⁇ f represents the volume fraction of the target particles
  • u f represents the movement speed of the target particles
  • ⁇ f represents the apparent density of the target particles
  • g is the acceleration of gravity
  • S represents the momentum transfer parameter
  • the plasma attribute information includes plasma velocity, plasma density, and plasma pressure, the transfer parameter according to the momentum, and the plasma attribute information to simulate the flow of blood, including:
  • u represents the flow velocity of the plasma
  • ⁇ represents the density of the plasma
  • P represents the pressure of the plasma
  • the target particles include one or more of red blood cells, white blood cells, and platelets.
  • the method further includes:
  • the simulation of the flow of blood according to the momentum transfer parameter and the attribute information of the plasma includes:
  • the blood flow is simulated on the three-dimensional blood vessel model.
  • a second aspect of an embodiment of the present disclosure provides a device for simulating blood flow.
  • the device includes:
  • a determination module for determining the momentum transfer parameter between the target particle and plasma according to the attribute information of the target particle in the blood
  • the simulation module is used to simulate the flow of the blood according to the momentum transfer parameter and the attribute information of the plasma.
  • the attribute information includes a volume fraction of the target particle, a movement speed, and an apparent density
  • the determination module is specifically used to:
  • the momentum transfer parameter is determined by the following formula:
  • ⁇ f represents the volume fraction of the target particles
  • u f represents the movement speed of the target particles
  • ⁇ f represents the apparent density of the target particles
  • g is the acceleration of gravity
  • S represents the momentum transfer parameter
  • the plasma attribute information includes plasma velocity, plasma density, and plasma pressure
  • the simulation module is specifically used to:
  • u represents the flow velocity of the plasma
  • ⁇ represents the density of the plasma
  • P represents the pressure of the plasma
  • the target particles include one or more of red blood cells, white blood cells, and platelets.
  • the device further includes:
  • the acquisition module is used to acquire coronary angiography images
  • a three-dimensional reconstruction module configured to perform three-dimensional reconstruction of blood vessels based on the angiography image to obtain a three-dimensional blood vessel model of the coronary artery;
  • the simulation module is specifically used to simulate the blood flow on the three-dimensional blood vessel model according to the momentum transfer parameter and the attribute information of the plasma.
  • a third aspect of an embodiment of the present disclosure provides a computer-readable storage medium on which a computer program is stored, which when executed by a processor implements the steps of the method of the first aspect.
  • a fourth aspect of the embodiments of the present disclosure provides an electronic device, including:
  • a processor is configured to execute the computer program in the memory to implement the steps of the method in the first aspect.
  • the influence of the particulate matter in the blood on the blood flow is considered, for example, the effect of the disordered movement between red blood cells, white blood cells and platelets on the blood flow.
  • blood is used as a simple liquid and Based on a single or hypothetical fluid viscosity simulation, the embodiment of the present disclosure simulates the blood flow more closely to the actual situation of blood flow, so the accuracy of the simulation is higher.
  • FIG. 1 is a schematic flowchart of a method for simulating blood flow according to an embodiment of the present disclosure
  • FIG. 2 is a schematic diagram of the interaction force between blood cells and plasma provided by an embodiment of the present disclosure
  • FIG. 3 is a schematic structural diagram of a device for simulating blood flow according to an embodiment of the present disclosure
  • FIG. 4 is a schematic structural diagram of another apparatus for simulating blood flow according to an embodiment of the present disclosure.
  • FIG. 5 is a schematic structural diagram of an electronic device provided by an embodiment of the present disclosure.
  • An embodiment of the present disclosure provides a method for simulating blood flow, as shown in FIG. 1, including:
  • the attribute information includes the volume fraction, movement speed, and apparent density of the target particle
  • determining the momentum transfer parameter between the target particle and the plasma according to the attribute information of the target particle in the blood includes:
  • the momentum transfer parameter is determined by the following formula:
  • ⁇ f represents the volume fraction of the target particles
  • u f represents the movement speed of the target particles
  • ⁇ f represents the apparent density of the target particles
  • g is the acceleration of gravity
  • S represents the momentum transfer parameter
  • the attribute information of the plasma includes plasma velocity, plasma density, and plasma pressure, the transfer parameter according to the momentum, and the attribute information of the plasma to simulate the flow of blood, including:
  • u represents the flow velocity of the plasma
  • ⁇ represents the density of the plasma
  • P represents the pressure of the plasma
  • the influence of the particulate matter in the blood on the blood flow is considered, for example, the effect of disordered movement between red blood cells, white blood cells, and platelets on the blood flow, compared with the blood in the prior art
  • the simulation of blood flow in the embodiments of the present disclosure is closer to the actual situation of blood flow, so the accuracy of the simulation is higher.
  • the target particles include one or more of red blood cells, white blood cells, and platelets.
  • the movement state can be simulated and calculated.
  • FIG. 2 shows the factors considered when simulating the flow of white blood cells using the technical solution provided by the embodiments of the present disclosure, including the influence of the interaction force between blood cells and plasma on their respective flow speeds.
  • the embodiments of the present disclosure can more accurately simulate and calculate the motion state of bleeding cells.
  • an angiography image of a coronary artery may also be obtained, and three-dimensional reconstruction of blood vessels is performed according to the angiography image to obtain a three-dimensional vascular model of the coronary artery. That is, according to the momentum transfer parameter and the attribute information of the plasma, the blood flow can be simulated on the three-dimensional blood vessel model to be more intuitively displayed to the user.
  • angiography is an interventional detection method.
  • the developer is injected into the blood vessel. Since the X-ray cannot penetrate the developer, the developer can show the image of the blood vessel under the X-ray.
  • CT angiography (CTA) technology is used to combine CT enhancement technology with thin layer, large-scale and fast scanning technology. Through reasonable post-processing, the details of blood vessels can be clearly displayed, which is non-invasive and easy to operate. Features.
  • an embodiment of the present disclosure also provides a device for simulating blood flow, which is used to implement the steps of a method for simulating blood flow provided by the above method embodiments.
  • the device 30 includes :
  • the determination module 31 is configured to determine the momentum transfer parameter between the target particle and plasma according to the attribute information of the target particle in the blood;
  • the simulation module 32 is configured to simulate the flow of the blood according to the momentum transfer parameter and the attribute information of the plasma.
  • the attribute information includes a volume fraction of the target particle, a movement speed, and an apparent density
  • the determination module 31 is specifically configured to:
  • the momentum transfer parameter is determined by the following formula:
  • ⁇ f represents the volume fraction of the target particles
  • u f represents the movement speed of the target particles
  • ⁇ f represents the apparent density of the target particles
  • g is the acceleration of gravity
  • S represents the momentum transfer parameter
  • the plasma attribute information includes plasma velocity, plasma density, and plasma pressure
  • the simulation module 32 is specifically used to:
  • u represents the flow velocity of the plasma
  • ⁇ represents the density of the plasma
  • P represents the pressure of the plasma
  • the target particles include one or more of red blood cells, white blood cells, and platelets.
  • the device 30 further includes:
  • the obtaining module 33 is used to obtain coronary angiography images
  • the three-dimensional reconstruction module 34 is configured to perform three-dimensional reconstruction of the blood vessel according to the angiography image to obtain the three-dimensional blood vessel model of the coronary artery;
  • the simulation module 32 is specifically configured to simulate the blood flow on the three-dimensional blood vessel model according to the momentum transfer parameter and the attribute information of the plasma.
  • the device takes into account the influence of the particulate matter in the blood on the blood flow when simulating the blood flow, for example, the effect of the disordered movement between red blood cells, white blood cells and platelets on the blood flow, compared with the prior art
  • the simulation using blood as a simple liquid and based on a single or assumed fluid viscosity the simulation of blood flow in the embodiments of the present disclosure is closer to the actual situation of blood flow, so the accuracy of the simulation is higher.
  • Embodiments of the present disclosure also provide a computer-readable storage medium on which a computer program is stored, which when executed by a processor implements the steps of the method for simulating blood flow described above.
  • An embodiment of the present disclosure also provides an electronic device, including:
  • Fig. 5 is a block diagram of an electronic device 50 according to an exemplary embodiment.
  • the electronic device 50 may include a processor 501 and a memory 502.
  • the electronic device 50 may also include one or more of a multimedia component 503, an input / output (I / O) interface 504, and a communication component 505.
  • the processor 501 is used to control the overall operation of the electronic device 50 to complete all or part of the steps in the above method for simulating blood flow.
  • the memory 502 is used to store various types of data to support operation on the electronic device 50, and the data may include, for example, instructions for any application program or method for operating on the electronic device 50, and application-related data.
  • the memory 502 may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, SRAM for short), electrically erasable programmable read-only memory ( Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), read-only Memory (Read-Only Memory, ROM for short), magnetic memory, flash memory, magnetic disk or optical disk.
  • the multimedia component 503 may include a screen and an audio component.
  • the screen may be, for example, a touch screen, and the audio component is used to output and / or input audio signals.
  • the audio component may include a microphone for receiving external audio signals.
  • the received audio signal may be further stored in the memory 502 or transmitted through the communication component 505.
  • the audio component also includes at least one speaker for outputting audio signals.
  • the I / O interface 504 provides an interface between the processor 501 and other interface modules.
  • the other interface modules may be a keyboard, a mouse, a button, and so on. These buttons can be virtual buttons or physical buttons.
  • the communication component 505 is used for wired or wireless communication between the electronic device 50 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, or 4G, or a combination of one or more of them, so the corresponding communication component 505 may include: Wi-Fi module, Bluetooth module, NFC module.
  • the electronic device 50 may be one or more application specific integrated circuits (Application Specific Integrated Circuit (ASIC for short), digital signal processor (DSP for short), digital signal processing device (Digital for short) Signal Processing (Device DSP), Programmable Logic Device (PLD), Field Programmable Gate Array (FPGA), controller, microcontroller, microprocessor or other electronic components Implementation, for performing the method described above for simulating blood flow.
  • ASIC Application Specific Integrated Circuit
  • DSP digital signal processor
  • DSP digital signal processing device
  • PLD Programmable Logic Device
  • FPGA Field Programmable Gate Array
  • controller microcontroller, microprocessor or other electronic components Implementation, for performing the method described above for simulating blood flow.
  • the computer-readable storage medium provided by the embodiment of the present disclosure may be the above-mentioned memory 502 including program instructions, and the above-mentioned program instructions may be executed by the processor 501 of the electronic device 50 to complete the above-mentioned method of simulating blood flow.

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Abstract

本公开涉及一种模拟血液流动的方法，装置，存储介质及电子设备，所述方法包括：根据血液中目标颗粒的属性信息，确定所述目标颗粒和血浆之间的动量传递参量；根据所述动量传递参量，以及所述血浆的属性信息模拟所述血液的流动。本公开实施例用于更精确的模拟血液的流动。

Description

模拟血液流动的方法，装置，存储介质及电子设备 技术领域
本公开涉及医学技术领域，具体地，涉及一种模拟血液流动的方法，装置，存储介质及电子设备。
背景技术
目前，相关技术可以基于医学CT(Computed Tomography，电子计算机断层扫描)图像和MRI(Magnetic Resonance Imaging，磁共振成像)造影，重建冠脉的三维血管形状，并且，还可以进一步基于计算流体力学技术，对血管内的血流动力学状态进行无创评估。
但是，目前基于计算流体力学的无创诊断技术，在对血液流动进行模拟时，是将血液认为成一种跟水类似的单相流体，而实际的血液则包含了大量的红细胞，白细胞以及血小板，这些“颗粒”物质在流体力学的计算中没有考虑，导致对血液流动的模拟不够精确。
发明内容
为克服相关技术中存在的问题，本公开提供一种模拟血液流动的方法，装置，存储介质及电子设备。
为了实现上述目的，本公开实施例第一方面提供一种模拟血液流动的方法，所述方法包括：
根据血液中目标颗粒的属性信息，确定所述目标颗粒和血浆之间的动量传递参量；
根据所述动量传递参量，以及所述血浆的属性信息模拟所述血液的流动。
可选地，所述属性信息包括所述目标颗粒的体积分数，运动速度以及表 观密度，所述根据血液中目标颗粒的属性信息，确定所述目标颗粒和血浆之间的动量传递参量，包括：
通过如下公式确定所述动量传递参量：
Figure PCTCN2019115348-appb-000001
Figure PCTCN2019115348-appb-000002
其中，θ f表示所述目标颗粒的体积分数，u f表示所述目标颗粒的运动速度，ρ f表示所述目标颗粒的表观密度，g是重力加速度，S表示所述动量传递参量。
可选地，所述血浆的属性信息包括血浆速度，血浆密度，血浆压力，所述根据所述动量传递参量，以及所述血浆的属性信息模拟所述血液的流动，包括：
通过如下公式模拟所述血液的流动：
Figure PCTCN2019115348-appb-000003
其中，u表示所述血浆的流动速度，ρ表示所述血浆的密度，P表示所述血浆的压力。
可选地，所述目标颗粒包括红细胞，白细胞以及血小板中的一者或多者。
可选地，所述方法还包括：
获取冠脉的血管造影图像；
根据所述血管造影图像进行血管的三维重建，得到所述冠脉的三维血管模型；
所述根据所述动量传递参量，以及所述血浆的属性信息模拟所述血液的流动，包括：
根据所述动量传递参量，以及所述血浆的属性信息，在所述三维血管模 型上模拟血液的流动。
本公开实施例第二方面提供一种模拟血液流动的装置，所述装置包括：
确定模块，用于根据血液中目标颗粒的属性信息，确定所述目标颗粒和血浆之间的动量传递参量；
模拟模块，用于根据所述动量传递参量，以及所述血浆的属性信息模拟所述血液的流动。
可选地，所述属性信息包括所述目标颗粒的体积分数，运动速度以及表观密度，所述确定模块具体用于：
通过如下公式确定所述动量传递参量：
Figure PCTCN2019115348-appb-000004
Figure PCTCN2019115348-appb-000005
其中，θ f表示所述目标颗粒的体积分数，u f表示所述目标颗粒的运动速度，ρ f表示所述目标颗粒的表观密度，g是重力加速度，S表示所述动量传递参量。
可选地，所述血浆的属性信息包括血浆速度，血浆密度，血浆压力，所述模拟模块具体用于：
通过如下公式模拟所述血液的流动：
Figure PCTCN2019115348-appb-000006
其中，u表示所述血浆的流动速度，ρ表示所述血浆的密度，P表示所述血浆的压力。
可选地，所述目标颗粒包括红细胞，白细胞以及血小板中的一者或多者。
可选地，所述装置还包括：
获取模块，用于获取冠脉的血管造影图像；
三维重建模块，用于根据所述血管造影图像进行血管的三维重建，得到所述冠脉的三维血管模型；
所述模拟模块具体用于，根据所述动量传递参量，以及所述血浆的属性信息，在所述三维血管模型上模拟血液的流动。
本公开实施例第三方面提供一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现第一方面所述方法的步骤。
本公开实施例第四方面提供一种电子设备，包括：
存储器，其上存储有计算机程序；
处理器，用于执行所述存储器中的所述计算机程序，以实现第一方面所述方法的步骤。
采用上述技术方案，至少能够达到如下技术效果：
在模拟血液流动时，考虑到了血液中颗粒物质对血液流动的影响，例如，红细胞，白细胞以及血小板之间无序的运动对血流流动的影响，相比现有技术中将血液作为单纯液体并基于单一或假设的流体粘度进行的模拟，本公开实施例对血液流动的模拟更接近血液流动的实际情况，因此，模拟的准确度更高。
本公开的其他特征和优点将在随后的具体实施方式部分予以详细说明。
附图说明
附图是用来提供对本公开的进一步理解，并且构成说明书的一部分，与下面的具体实施方式一起用于解释本公开，但并不构成对本公开的限制。在附图中：
图1是本公开实施例提供的一种模拟血液流动的方法的流程示意图；
图2是本公开实施例提供的血细胞与血浆之间的相互作用力的示意图；
图3是本公开实施例提供的一种模拟血液流动的装置的结构示意图；
图4是本公开实施例提供的另一种模拟血液流动的装置的结构示意图；
图5是本公开实施例提供的一种电子设备的结构示意图。
具体实施方式
以下结合附图对本公开的具体实施方式进行详细说明。应当理解的是，此处所描述的具体实施方式仅用于说明和解释本公开，并不用于限制本公开。
本公开实施例提供一种模拟血液流动的方法，如图1所示，包括：
S11、根据血液中目标颗粒的属性信息，确定所述目标颗粒和血浆之间的动量传递参量。
示例地，所述属性信息包括所述目标颗粒的体积分数，运动速度以及表观密度，所述根据血液中目标颗粒的属性信息，确定所述目标颗粒和血浆之间的动量传递参量，包括：
通过如下公式确定所述动量传递参量：
Figure PCTCN2019115348-appb-000007
Figure PCTCN2019115348-appb-000008
其中，θ f表示所述目标颗粒的体积分数，u f表示所述目标颗粒的运动速度，ρ f表示所述目标颗粒的表观密度，g是重力加速度，S表示所述动量传递参量。
S12、根据所述动量传递参量，以及所述血浆的属性信息模拟所述血液的流动。
示例地，所述血浆的属性信息包括血浆速度，血浆密度，血浆压力，所述根据所述动量传递参量，以及所述血浆的属性信息模拟所述血液的流动，包括：
通过如下公式模拟所述血液的流动：
Figure PCTCN2019115348-appb-000009
其中，u表示所述血浆的流动速度，ρ表示所述血浆的密度，P表示所述血浆的压力。
本领域技术人员应该知悉，上述公式是基于血浆运动和目标颗粒运动的相互迭代计算，通过S项实现两者之间的动量交换，能够更加全面科学的反应血液的流动状态。
采用上述方法，在模拟血液流动时，考虑到了血液中颗粒物质对血液流动的影响，例如，红细胞，白细胞以及血小板之间无序的运动对血流流动的影响，相比现有技术中将血液作为单纯液体并基于单一或假设的流体粘度进行的模拟，本公开实施例对血液流动的模拟更接近血液流动的实际情况，因此，模拟的准确度更高。
可选地，所述目标颗粒包括红细胞，白细胞以及血小板中的一者或多者。在具体实施时，可以根据实际需求，针对血液中某种具体的颗粒，模拟计算其运动状态。
以血细胞为例，图2示出了采用本公开实施例提供的技术方案在模拟白细胞的流动时，考虑的因素，包括血细胞和血浆之间的相互作用力对各自流动速度的影响，相比现有技术将血液作为单相流体，本公开实施例能够更加准确的模拟计算出血细胞的运动状态。
本公开实施例在具体实施时，还可以获取冠脉的血管造影图像，并根据所述血管造影图像进行血管的三维重建，得到所述冠脉的三维血管模型，这样，在得到三维血管模型后，即可以根据所述动量传递参量，以及所述血浆的属性信息，在所述三维血管模型上模拟血液的流动，以更直观的展示给用户。
值得说明的是，血管造影是一种介入检测方法，将显影剂注入血管里，由于X光无法穿透显影剂，因此显影剂在X光下能呈现出血管的影像。示例地，利用CT血管造影(CTA，CT angiography)技术，将CT增强技术与薄层、大范围、快速扫描技术相结合，通过合理的后处理，可以清晰显示血管细节，具有无创和操作简便的特点。
基于相同的发明构思，本公开实施例还提供一种模拟血液流动的装置，用于实施上述方法实施例提供的一种模拟血液流动的方法的步骤，如图3所示，所述装置30包括：
确定模块31，用于根据血液中目标颗粒的属性信息，确定所述目标颗粒和血浆之间的动量传递参量；
模拟模块32，用于根据所述动量传递参量，以及所述血浆的属性信息模拟所述血液的流动。
可选地，所述属性信息包括所述目标颗粒的体积分数，运动速度以及表观密度，所述确定模块31具体用于：
通过如下公式确定所述动量传递参量：
Figure PCTCN2019115348-appb-000010
Figure PCTCN2019115348-appb-000011
其中，θ f表示所述目标颗粒的体积分数，u f表示所述目标颗粒的运动速度，ρ f表示所述目标颗粒的表观密度，g是重力加速度，S表示所述动量传递参量。
可选地，所述血浆的属性信息包括血浆速度，血浆密度，血浆压力，所述模拟模块32具体用于：
通过如下公式模拟所述血液的流动：
Figure PCTCN2019115348-appb-000012
其中，u表示所述血浆的流动速度，ρ表示所述血浆的密度，P表示所述血浆的压力。
可选地，所述目标颗粒包括红细胞，白细胞以及血小板中的一者或多者。
可选地，如图4所示，所述装置30还包括：
获取模块33，用于获取冠脉的血管造影图像；
三维重建模块34，用于根据所述血管造影图像进行血管的三维重建，得到所述冠脉的三维血管模型；
所述模拟模块32具体用于，根据所述动量传递参量，以及所述血浆的属性信息，在所述三维血管模型上模拟血液的流动。
采用上述装置，该装置在模拟血液流动时，考虑到了血液中颗粒物质对血液流动的影响，例如，红细胞，白细胞以及血小板之间无序的运动对血流流动的影响，相比现有技术中将血液作为单纯液体并基于单一或假设的流体粘度进行的模拟，本公开实施例对血液流动的模拟更接近血液流动的实际情况，因此，模拟的准确度更高。
关于上述实施例中的装置，其中各个模块执行操作的具体方式已经在有关该方法的实施例中进行了详细描述，此处将不做详细阐述说明。
本公开实施例还提供一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现上述模拟血液流动的方法的步骤。
本公开实施例还提供一种电子设备，包括：
存储器，其上存储有计算机程序；
处理器，用于执行所述存储器中的所述计算机程序，以实现上述模拟血液流动的方法的步骤
图5是根据一示例性实施例示出的一种电子设备50的框图。如图5所 示，该电子设备50可以包括：处理器501，存储器502。该电子设备50还可以包括多媒体组件503，输入/输出(I/O)接口504，以及通信组件505中的一者或多者。
其中，处理器501用于控制该电子设备50的整体操作，以完成上述模拟血液流动的方法中的全部或部分步骤。存储器502用于存储各种类型的数据以支持在该电子设备50的操作，这些数据例如可以包括用于在该电子设备50上操作的任何应用程序或方法的指令，以及应用程序相关的数据。该存储器502可以由任何类型的易失性或非易失性存储设备或者它们的组合实现，例如静态随机存取存储器(Static Random Access Memory，简称SRAM)，电可擦除可编程只读存储器(Electrically Erasable Programmable Read-Only Memory，简称EEPROM)，可擦除可编程只读存储器(Erasable Programmable Read-Only Memory，简称EPROM)，可编程只读存储器(Programmable Read-Only Memory，简称PROM)，只读存储器(Read-Only Memory，简称ROM)，磁存储器，快闪存储器，磁盘或光盘。多媒体组件503可以包括屏幕和音频组件。其中屏幕例如可以是触摸屏，音频组件用于输出和/或输入音频信号。例如，音频组件可以包括一个麦克风，麦克风用于接收外部音频信号。所接收的音频信号可以被进一步存储在存储器502或通过通信组件505发送。音频组件还包括至少一个扬声器，用于输出音频信号。I/O接口504为处理器501和其他接口模块之间提供接口，上述其他接口模块可以是键盘，鼠标，按钮等。这些按钮可以是虚拟按钮或者实体按钮。通信组件505用于该电子设备50与其他设备之间进行有线或无线通信。无线通信，例如Wi-Fi，蓝牙，近场通信(Near Field Communication，简称NFC)，2G、3G或4G，或它们中的一种或几种的组合，因此相应的该通信组件505可以包括：Wi-Fi模块，蓝牙模块，NFC模块。
在一示例性实施例中，电子设备50可以被一个或多个应用专用集成电 路(Application Specific Integrated Circuit，简称ASIC)、数字信号处理器(Digital Signal Processor，简称DSP)、数字信号处理设备(Digital Signal Processing Device，简称DSPD)、可编程逻辑器件(Programmable Logic Device，简称PLD)、现场可编程门阵列(Field Programmable Gate Array，简称FPGA)、控制器、微控制器、微处理器或其他电子元件实现，用于执行上述模拟血液流动的方法。
另外，本公开实施例提供的计算机可读存储介质即可以为上述包括程序指令的存储器502，上述程序指令可由电子设备50的处理器501执行以完成上述模拟血液流动的方法。
以上结合附图详细描述了本公开的优选实施方式，但是，本公开并不限于上述实施方式中的具体细节，在本公开的技术构思范围内，可以对本公开的技术方案进行多种简单变型，这些简单变型均属于本公开的保护范围。

Claims (10)

  1. 一种模拟血液流动的方法，其特征在于，所述方法包括：
    根据血液中目标颗粒的属性信息，确定所述目标颗粒和血浆之间的动量传递参量；
    根据所述动量传递参量，以及所述血浆的属性信息模拟所述血液的流动。
  2. 根据权利要求1所述的方法，其特征在于，所述属性信息包括所述目标颗粒的体积分数，运动速度以及表观密度，所述根据血液中目标颗粒的属性信息，确定所述目标颗粒和血浆之间的动量传递参量，包括：
    通过如下公式确定所述动量传递参量：
    Figure PCTCN2019115348-appb-100001
    Figure PCTCN2019115348-appb-100002
    其中，θ f表示所述目标颗粒的体积分数，u f表示所述目标颗粒的运动速度，ρ f表示所述目标颗粒的表观密度，g是重力加速度，S表示所述动量传递参量。
  3. 根据权利要求2所述的方法，其特征在于，所述血浆的属性信息包括血浆速度，血浆密度，血浆压力，所述根据所述动量传递参量，以及所述血浆的属性信息模拟所述血液的流动，包括：
    通过如下公式模拟所述血液的流动：
    Figure PCTCN2019115348-appb-100003
    其中，u表示所述血浆的流动速度，ρ表示所述血浆的密度，P表示所述血浆的压力。
  4. 根据权利要求1至3中任一项所述的方法，其特征在于，所述目标颗粒包括红细胞，白细胞以及血小板中的一者或多者。
  5. 根据权利要求1至3中任一项所述的方法，其特征在于，所述方法还包括：
    获取冠脉的血管造影图像；
    根据所述血管造影图像进行血管的三维重建，得到所述冠脉的三维血管模型；
    所述根据所述动量传递参量，以及所述血浆的属性信息模拟所述血液的流动，包括：
    根据所述动量传递参量，以及所述血浆的属性信息，在所述三维血管模型上模拟血液的流动。
  6. 一种模拟血液流动的装置，其特征在于，所述装置包括：
    确定模块，用于根据血液中目标颗粒的属性信息，确定所述目标颗粒和血浆之间的动量传递参量；
    模拟模块，用于根据所述动量传递参量，以及所述血浆的属性信息模拟所述血液的流动。
  7. 根据权利要求6所述的装置，其特征在于，所述属性信息包括所述目标颗粒的体积分数，运动速度以及表观密度，所述确定模块具体用于：
    通过如下公式确定所述动量传递参量：
    Figure PCTCN2019115348-appb-100004
    Figure PCTCN2019115348-appb-100005
    其中，θ f表示所述目标颗粒的体积分数，u f表示所述目标颗粒的运动速度，ρ f表示所述目标颗粒的表观密度，g是重力加速度，S表示所述动量传递参量。
  8. 根据权利要求7所述的装置，其特征在于，所述血浆的属性信息包括血浆速度，血浆密度，血浆压力，所述模拟模块具体用于：
    通过如下公式模拟所述血液的流动：
    Figure PCTCN2019115348-appb-100006
    其中，u表示所述血浆的流动速度，ρ表示所述血浆的密度，P表示所述血浆的压力。
  9. 一种计算机可读存储介质，其上存储有计算机程序，其特征在于，该程序被处理器执行时实现权利要求1-5中任一项所述方法的步骤。
  10. 一种电子设备，其特征在于，包括：
    存储器，其上存储有计算机程序；
    处理器，用于执行所述存储器中的所述计算机程序，以实现权利要求1-5中任一项所述方法的步骤。
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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130191100A1 (en) * 2012-01-19 2013-07-25 Siemens Aktiengesellschaft Blood flow computation in vessels with implanted devices
CN104036126A (zh) * 2014-06-04 2014-09-10 广东电网公司电力科学研究院 肺泡收缩和扩展过程中颗粒物运动的数值模拟方法和系统
CN109285218A (zh) * 2018-11-06 2019-01-29 北京三普威盛科技有限公司 模拟血液流动的方法，装置，存储介质及电子设备

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101201311A (zh) * 2006-12-12 2008-06-18 中国科学院过程工程研究所 一种测量颗粒流体两相流系统非均匀结构参数分布的方法
CN105095534A (zh) * 2014-04-23 2015-11-25 北京冠生云医疗技术有限公司 对血管中血流进行模拟的方法和系统
KR101978316B1 (ko) * 2016-02-22 2019-05-14 연세대학교 산학협력단 메쉬모핑을 이용한 동맥의 혈류역학 3차원 볼륨 격자 생성 방법
CN106780477A (zh) * 2016-12-30 2017-05-31 上海联影医疗科技有限公司 一种血流分析方法和系统
US10580526B2 (en) * 2018-01-12 2020-03-03 Shenzhen Keya Medical Technology Corporation System and method for calculating vessel flow parameters based on angiography
CN108615259B (zh) * 2018-04-27 2022-06-24 苏州数算软云科技有限公司 建立血液流动计算模型用以评价冠状动脉血流情况的方法

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130191100A1 (en) * 2012-01-19 2013-07-25 Siemens Aktiengesellschaft Blood flow computation in vessels with implanted devices
CN104036126A (zh) * 2014-06-04 2014-09-10 广东电网公司电力科学研究院 肺泡收缩和扩展过程中颗粒物运动的数值模拟方法和系统
CN109285218A (zh) * 2018-11-06 2019-01-29 北京三普威盛科技有限公司 模拟血液流动的方法，装置，存储介质及电子设备

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
LIU, DAYOU: "Discussion on the Concepts of Two-Phase Flow, Multiphase Flow, Multifluid Model and Non-Newtonian Flow", ADVANCES IN MECHANICS, vol. 24, no. 1, 25 February 1994 (1994-02-25), pages 68 - 70, ISSN: 10000992 *
ZENG, . YUJIE ET AL.: "Aortic Dissection Blood Two-Phase Flow Numerical Simulation Study", JOURNAL OF ENGINEERING THERMOPHYSICS, vol. 37, no. 4, 30 April 2016 (2016-04-30), pages 780 - 784, ISSN: 0253-231X *
ZENG, YUJIE ET AL.: "Aortic Dissection Blood Two-Phase Flow Numerical Simulation Study", JOURNAL OF ENGINEERING THERMOPHYSICS, vol. 37, no. 4, 30 April 2016 (2016-04-30), ISSN: 0253-231X *

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