Data processing system and data processing method based on blood vessel image

Abstract

The present disclosure provides a data processing system based on blood vessel images, which includes: an image acquisition module, an imaging module, a registration module and a calculation module. The image acquisition module is used to acquire image signals of a certain distance of a target blood vessel; the imaging module receives the image signals and obtains multiple blood vessel cross-sectional images in the target blood vessel; the registration module registers multiple blood vessel cross-sectional images based on the angiography image to obtain a whole blood vessel image; the calculation module obtains the target blood vessel image based on the whole blood vessel image and a preset curve, and calculates the intravascular pressure at any position in the target blood vessel image according to the principle of fluid mechanics. In this way, a more accurate intravascular pressure can be obtained.

Description

Technical Field

[0001] The present disclosure specifically relates to a data processing system based on blood vessel images and a data processing method thereof. Background Art

[0002] Coronary artery disease is one of the leading causes of death worldwide. Improving the ability to diagnose, monitor and treat coronary artery disease can reduce the number of deaths from coronary artery disease to a certain extent.

[0003] Common coronary artery stenosis lesions in coronary artery disease are usually preliminarily judged based on angiography images. If the results show that the lesion is more serious, it is necessary to further use the blood flow reserve fraction (FFR) or the waveform-free pressure ratio (iFR) for functional judgment. FFR or iFR is an indicator to measure the drop in blood pressure when the blood vessel is narrowed. In other words, FFR or iFR is determined by the ratio of the pressure on the distal side of the stenosis (Pd) to the pressure on the proximal side close to the aortic port (Pa).

[0004] At present, for FFR or iFR, in clinical practice, a pressure guidewire is usually used to measure intravascular pressure to obtain the blood flow reserve fraction or the waveform-free pressure ratio. However, since the pressure guidewire needs to be set in the blood vessel during measurement, the pressure guidewire will affect the blood flow and thus lead to inaccurate measurement of intravascular pressure. Therefore, in order to overcome the above problems, in the prior art, angiography images are obtained by angiography of the blood vessels using an X-ray machine, and then a three-dimensional structural image of the blood vessels is obtained based on the angiography images, and then the intravascular pressure of each part of the blood vessel is calculated using the principle of fluid mechanics to obtain the blood flow reserve fraction.

[0005] However, the three-dimensional structural images obtained by X-ray machines cannot obtain the specific conditions inside the blood vessels. Therefore, using three-dimensional structural images to obtain the pressure of each part of the blood vessels will be inaccurate, which will affect the medical staff's assessment of the blood vessel condition. Summary of the invention

[0006] The present disclosure is made in view of the above-mentioned prior art conditions, and its purpose is to provide a blood vessel image-based data processing system and a data processing method thereof that can more accurately obtain intravascular pressure.

[0007] To this end, the first aspect of the present disclosure provides a data processing system based on vascular images, characterized in that it includes: an image acquisition module, which includes a catheter, a probe and a transmission shaft arranged in a target blood vessel, and a retraction mechanism arranged outside the body, the probe is connected to the transmission shaft and moves with the transmission shaft, the probe and the transmission shaft are arranged inside the catheter, the retraction mechanism is connected to the transmission shaft and controls the transmission shaft to move relative to the catheter, and the image acquisition module uses the probe to obtain an image signal of a distance of the target blood vessel; an imaging module, which is connected to the image acquisition module and receives the image signal from the image acquisition module , and based on the image signal, a plurality of blood vessel cross-sectional images in the target blood vessel are acquired; a registration module, which registers the plurality of blood vessel cross-sectional images based on the angiography image of the target blood vessel to obtain an overall blood vessel image; a calculation module, which acquires a target blood vessel image of the target blood vessel based on the overall blood vessel image and a preset curve, and calculates the intravascular pressure at any position in the target blood vessel image according to the principle of fluid mechanics, wherein the preset curve is a curve showing that the cross-sectional area of ​​the target blood vessel changes with the cardiac cycle, and the target blood vessel image is a three-dimensional blood vessel image of the target blood vessel at a distance along the length direction of the blood vessel at the end of the diastole in the cardiac cycle.

[0008] In the present disclosure, multiple cross-sectional images of target blood vessels are obtained through an image acquisition module and an imaging module, and then a registration module registers the multiple cross-sectional images of blood vessels based on angiography to obtain an overall blood vessel image, and a calculation module obtains a target blood vessel image based on the overall blood vessel image and a preset curve, and then the intravascular pressure at any position in the target blood vessel image is calculated based on the principle of fluid mechanics. In this way, a more accurate intravascular pressure can be obtained.

[0009] In the data processing system involved in the first aspect of the present disclosure, optionally, the probe collects image signals by emitting ultrasound signals and / or optical signals. Thus, the image signals can be collected using ultrasound signals and / or optical signals.

[0010] In the data processing system involved in the first aspect of the present disclosure, optionally, the image signal acquired by the probe through the ultrasonic signal is transmitted to the imaging module through a connecting wire, and the image signal acquired by the probe through the optical signal is transmitted to the imaging module through an optical fiber, and the connecting wire and the optical fiber are arranged along the transmission shaft. Thus, the image signal acquired by the probe can be transmitted to the imaging module through a matching transmission medium.

[0011] In the data processing system involved in the first aspect of the present disclosure, optionally, the probe simultaneously transmits an ultrasound signal and an optical signal to obtain an ultrasound image signal and an optical image signal of a distance of the target blood vessel, the imaging module generates an ultrasound image in the target blood vessel based on the ultrasound image signal, generates an OCT image based on the optical image signal, and synthesizes the ultrasound image with the OCT image to obtain a plurality of blood vessel cross-sectional images. In this way, a more accurate blood vessel cross-sectional image can be obtained.

[0012] In the data processing system involved in the first aspect of the present disclosure, optionally, the calculation module calculates the hemodynamic index of a predetermined position in the target blood vessel based on the intravascular pressure in the target blood vessel image, thereby obtaining the hemodynamic index.

[0013] In the data processing system involved in the first aspect of the present disclosure, optionally, the probe transmits a light signal of a first frequency and receives a light signal of a second frequency reflected by the vascular wall of the target blood vessel, and the data processing system further comprises an analysis module, which analyzes the first frequency and the second frequency by the Brillouin scattering principle to obtain biomechanical information of the corresponding position of the target blood vessel. In this case, the biomechanical information of the target blood vessel can be obtained, thereby evaluating the target blood vessel and identifying potential lesions of the target blood vessel.

[0014] In the data processing system involved in the first aspect of the present disclosure, optionally, the imaging module obtains the cross-sectional area and acquisition time of each blood vessel cross-sectional image, and the registration module performs registration with the angiography image based on the acquisition time of the blood vessel cross-sectional image, thereby enabling registration of multiple blood vessel cross-sectional images.

[0015] In the data processing system involved in the first aspect of the present disclosure, optionally, the calculation module selects any position from the whole blood vessel image as the target position and obtains the first cross-sectional area of ​​the target blood vessel at the target position and the corresponding target period, the calculation module obtains the target ratio of the cross-sectional area of ​​the blood vessel at the target period to the cross-sectional area of ​​the blood vessel at the end of the diastolic period based on the preset curve, and the calculation module obtains the target cross-sectional area of ​​the target blood vessel at the target position when it is at the end of the diastolic period based on the target ratio and the first cross-sectional area. In this way, the target cross-sectional area of ​​the target blood vessel at the target position at the end of the diastolic period can be obtained, which can facilitate the subsequent acquisition of the target blood vessel image.

[0016] In the data processing system involved in the first aspect of the present disclosure, optionally, the calculation module obtains the target cross-sectional area corresponding to each position in the target blood vessel based on the whole blood vessel image and the preset curve, and adjusts the whole blood vessel image using the target cross-sectional area corresponding to each position to obtain the target blood vessel image. Thus, the target blood vessel image can be obtained.

[0017] In the data processing system involved in the first aspect of the present disclosure, optionally, the step of the calculation module calculating the intravascular pressure according to the principle of fluid mechanics specifically includes: the calculation module obtains the intravascular pressure at any position in the target blood vessel image through an initial pressure value and a preset formula, the initial pressure value is a pressure value when a preset position in the distance of the target blood vessel is at the end of diastole, and the preset formula satisfies: Among them, ΔP represents the pressure difference of the intravascular pressure at two positions in the target blood vessel, μ represents the dynamic viscosity coefficient, l represents the blood vessel length between the two positions, r represents the average radius of the blood vessel cross section between the two positions, and F represents the blood flow in the target blood vessel. In this way, the intravascular pressure at each position in the target blood vessel can be obtained.

[0018] A second aspect of the present disclosure provides a data processing method based on a blood vessel image, characterized in that it includes: acquiring a blood vessel angiography image of a target blood vessel and multiple blood vessel cross-sectional images of a distance of the target blood vessel, registering the multiple blood vessel cross-sectional images based on the blood vessel angiography image to obtain a whole blood vessel image, selecting any position as a target position based on the whole blood vessel image and acquiring a first cross-sectional area of ​​the target blood vessel at the target position and a corresponding target period, acquiring a target ratio of the blood vessel cross-sectional area of ​​the target blood vessel at the target period to the blood vessel cross-sectional area at the end of the diastolic period based on a preset curve, and based on the target ratio In this example, the target cross-sectional area of ​​the target blood vessel at the target position and at the end of diastole is obtained by using the first cross-sectional area, so as to obtain the target cross-sectional areas corresponding to each position in the target blood vessel, and then the target cross-sectional areas corresponding to each position are used to adjust the overall image of the blood vessel to obtain a target blood vessel image, and the intravascular pressure at any position in the target blood vessel image is calculated according to the principle of fluid mechanics, wherein the preset curve is a curve of the cross-sectional area of ​​the target blood vessel changing with the cardiac cycle, and the target blood vessel image is a three-dimensional image of the blood vessel at a distance along the length direction of the blood vessel when the target blood vessel is at the end of diastole in the cardiac cycle.

[0019] In the present disclosure, an overall image of the blood vessel is obtained by acquiring an angiography image of the target blood vessel and multiple blood vessel cross-sectional images at a distance, and a target blood vessel image is obtained based on the overall blood vessel image and a preset curve, and the intravascular pressure at each position of the target blood vessel image is calculated based on the principles of fluid mechanics.

[0020] In the data processing method involved in the second aspect of the present disclosure, optionally, the step of calculating the intravascular pressure according to the principle of fluid mechanics specifically includes: obtaining the intravascular pressure at any position in the target blood vessel image by using an initial pressure value and a preset formula, wherein the initial pressure value is a pressure value when a preset position in the distance of the target blood vessel is at the end of diastole, and the preset formula satisfies: Among them, ΔP represents the pressure difference between the intravascular pressures at two locations in the target blood vessel, μ represents the dynamic viscosity coefficient, l represents the blood vessel length between the two locations, r represents the average radius of the blood vessel cross section between the two locations, and F represents the blood flow in the target blood vessel. In this way, the intravascular pressure at any location in the target blood vessel can be obtained.

[0021] In the data processing method involved in the second aspect of the present disclosure, optionally, the preset position is a port where blood flows into the target blood vessel. Thus, the preset position can be determined, which can facilitate the subsequent acquisition of the intravascular pressure.

[0022] In the data processing method involved in the second aspect of the present disclosure, optionally, the data processing method further comprises calculating a hemodynamic index at a predetermined position in the target blood vessel based on the intravascular pressure in the target blood vessel image, thereby obtaining the hemodynamic index.

[0023] According to the present disclosure, a blood vessel image-based data processing system and a data processing method thereof that can more accurately obtain intravascular pressure can be provided. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Embodiments of the present disclosure will now be explained in further detail, by way of example only, with reference to the accompanying drawings, in which:

[0025] Figure 1 It is a block diagram showing the structure of a data processing system involved in an embodiment of the present disclosure.

[0026] Figure 2 It is a schematic diagram showing the structure of a data processing system involved in an embodiment of the present disclosure.

[0027] Figure 3 Schematic diagram showing the catheter according to the embodiment of the present disclosure being inserted into the human body.

[0028] Figure 42 is a cross-sectional view showing the application of the data processing system according to the embodiment of the present disclosure to a blood vessel.

[0029] Figure 5 Schematic diagram showing acquisition of a three-dimensional structure of a blood vessel according to an embodiment of the present disclosure.

[0030] Figure 6 FIG. 1 is a schematic diagram showing acquisition of a whole blood vessel image according to an embodiment of the present disclosure.

[0031] Figure 7 A flow chart of a data processing method based on a blood vessel image according to an embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0032] The present disclosure is further described in detail below in conjunction with the accompanying drawings and specific embodiments. In the accompanying drawings, the same components or components with the same functions are marked with the same symbols, and repeated descriptions thereof are omitted.

[0033] The present disclosure provides a data processing system and a data processing method based on a blood vessel image. According to the present disclosure, a more accurate intravascular pressure can be obtained, and then a hemodynamic index can be obtained based on the intravascular pressure, and the hemodynamic index can be used to evaluate the condition of the blood vessel (for example, whether there is a stenotic lesion).

[0034] The data processing system involved in the embodiments of the present disclosure can collect vascular information in the target blood vessel using interventional catheter technology (such as vascular ultrasound imaging, optical interference tomography, ultrasound and optical two-in-one catheter, etc.), so as to obtain a vascular image, and then perform data processing based on the vascular image to obtain the intravascular pressure. The target blood vessel can be a blood vessel selected by medical staff for measurement.

[0035] Figure 1 1 is a block diagram showing the structure of a data processing system 10 according to an embodiment of the present disclosure. Figure 2 Schematic diagram showing the structure of a data processing system 10 according to an embodiment of the present disclosure.

[0036] In some examples, such as Figure 1 As shown, the data processing system 10 may include an image acquisition module 110 , an imaging module 120 , a registration module 130 and a calculation module 140 .

[0037] In the example involved in this embodiment, the image acquisition module 110 can be an acquisition device for acquiring blood vessel information. The imaging module 120, the registration module 130 and the calculation module 140 can be configured in the host 20, so as to use the host 20 for processing (see Figure 2). In some examples, the host 20 can be connected to the image acquisition module 110. For example, Figure 2 As shown, the host 20 can be connected to the retraction mechanism 114 (described later) in the image acquisition module 110.

[0038] In the data processing system 10 according to the example of the present embodiment, Figure 2 As shown, the image acquisition module 110 may be an acquisition device for acquiring blood vessel information.

[0039] In some examples, the image acquisition module 110 may include a catheter 111, a probe 112, a transmission shaft 113, and a retraction mechanism 114. The image acquisition module 110 may use the probe to obtain an image signal of a distance in the target blood vessel. In some examples, the imaging module 120 may be connected to the image acquisition module 110, may receive an image signal from the image acquisition module 110, and may obtain a plurality of vascular cross-sectional images in the target blood vessel based on the image signal. In some examples, the registration module 130 may register a plurality of vascular cross-sectional images based on the angiography image, and may obtain an overall image of the blood vessel. In some examples, the calculation module 140 may obtain a target blood vessel image based on the overall blood vessel image and a preset curve, and may calculate the intravascular pressure at any position in the target blood vessel image according to the principle of fluid mechanics, that is, may obtain the intravascular pressure at any position in the target blood vessel.

[0040] In the present disclosure, multiple cross-sectional images of the target blood vessel can be obtained through the image acquisition module 110 and the imaging module 120, and then the registration module 130 can register the multiple cross-sectional images of the blood vessel based on the angiography image to obtain the whole blood vessel image, and the calculation module 140 can obtain the target blood vessel image based on the whole blood vessel image and the preset curve, and then the intravascular pressure at any position in the target blood vessel image can be calculated based on the principle of fluid mechanics. In this way, a more accurate intravascular pressure can be obtained.

[0041] In some examples, as described above, Figure 1 and Figure 2 As shown, the data processing system 10 may include an image acquisition module 110. The image acquisition module 110 may include a catheter 111, a probe 112, a transmission shaft 113, and a retraction mechanism 114. However, the examples disclosed herein are not limited thereto, and the image acquisition module 110 may be other acquisition devices capable of acquiring vascular information.

[0042] In some examples, the catheter 111 can have a proximal side 111 a proximal to the retraction mechanism 114 and a distal side 111 b distal to the retraction mechanism 114 .

[0043] Figure 31 is a schematic diagram showing the catheter 111 according to an embodiment of the present disclosure being inserted into a human body. Figure 4 1 is a cross-sectional view showing that the data processing system 10 according to the embodiment of the present disclosure is applied to a blood vessel 300 .

[0044] In some examples, when the data processing system 10 is in operation, the catheter 111, the probe 112, and the drive shaft 113 may be disposed within the target blood vessel (see Figure 3 and Figure 4 ). For example, Figure 3 As shown, during the interventional treatment, the medical staff can first puncture a certain part of the patient (or patient) (e.g., radial artery or femoral artery), and push the guide wire 116 along the blood vessel to a certain position in the target blood vessel (e.g., first preset position A), and then push the catheter 111 along the guide wire 116, so that the probe 112 in the catheter 111 is placed at the position in the target blood vessel. In this way, the image acquisition module 110 can measure and obtain the blood vessel information (e.g., image signal) containing the position.

[0045] In some examples, such as Figure 2 As shown, the catheter 111 may be in the shape of an elongated tube. The catheter 111 may have an inner cavity 1111. The inner diameter of the inner cavity 1111 may not be less than the outer diameters of the probe 112 and the transmission shaft 113. In this case, the probe 112 and the transmission shaft 113 may be disposed in the inner cavity 1111 of the catheter 111.

[0046] In some examples, the cross section of the catheter 111 may be circular, thereby minimizing the friction between the catheter 111 and the blood vessel, thereby reducing the risk of blood vessel damage.

[0047] In some examples, the manufacturing material of the catheter 111 can have good biocompatibility, reliable flexibility, good corrosion resistance and anti-thrombotic properties. For example, it can be a polymer or a composite material. In this case, the catheter 111 can be placed in the blood vessel more safely, reducing the occurrence of other adverse symptoms. In some examples, the catheter 111 can be made of a material that can transmit ultrasonic signals and / or optical signals (described later) and has less impact. For example, if the probe 112 can emit ultrasonic signals to collect blood vessel information, the catheter 111 can be made of a material with an acoustic impedance and the acoustic impedance of blood; if the probe 112 can emit optical signals to collect blood vessel information, the catheter 111 can be made of a material with an optical impedance and the optical impedance of blood.

[0048] In some examples, such as Figure 2 and Figure 4As shown, the transmission shaft 113 may be connected to the probe 112, and the probe 112 may move (rotate or slide) along with the transmission shaft 113. In some examples, the transmission shaft 113 and the probe 112 may be disposed in the catheter 111 and may move relative to the catheter 111.

[0049] In some examples, such as Figure 2 As shown, one end of the transmission shaft 113 away from the probe 112 can be connected to a retraction mechanism 114 (described later). In this case, the retraction mechanism 114 can control the retraction and rotation of the transmission shaft 113, and the probe 112 can move with the transmission shaft 113, thereby obtaining blood vessel information (e.g., image signals) within a certain distance in the target blood vessel.

[0050] In some examples, the transmission shaft 113 may be provided with an interface 1131 connected to the withdrawal mechanism 114. In some examples, the interface 1131 connected to the withdrawal mechanism 114 may adopt a mechanical structure. For example, the mechanical structure interface may be a snap-on type, a screw-on type, a socket connection type, a groove connection type, etc.

[0051] In some examples, the transmission shaft 113 may have an internal cavity. In some examples, a connection passage 115 for transmitting the blood vessel information collected by the probe 112 may be provided in the internal cavity.

[0052] In some examples, as described above, the image acquisition module 110 may include a probe 112 (see Figure 2 and Figure 4 ). In some examples, the probe 112 may be used to collect vascular information of a target blood vessel.

[0053] In some examples, the vascular information may be an image signal of image data of the target blood vessel. In other examples, the vascular information may also be a signal containing relevant data information of the target blood vessel, for example, a signal containing vascular parameters of cross-sectional areas of multiple positions within a certain distance of the target blood vessel and the acquisition time corresponding to the acquisition of the vascular parameters.

[0054] In some examples, the probe 112 may collect image signals by emitting ultrasound signals and / or optical signals. Thus, the image signals can be collected using ultrasound signals and / or optical signals. However, the examples disclosed herein are not limited thereto. In some examples, the probe 112 may obtain the vascular information of the target blood vessel in other ways.

[0055] In some examples, the probe 112 may include a first probe. In some examples, the first probe may collect blood vessel information by transmitting an ultrasonic signal. Specifically, the first probe may transmit an ultrasonic signal, which passes through the catheter 111 to reach the blood vessel wall and is reflected by the blood vessel wall. The first probe may receive the reflected ultrasonic signal and convert it into an electrical signal (i.e., an ultrasonic image signal), which may be transmitted to an external device through the connection path 115. In some examples, the ultrasonic image signal obtained by the first probe may be an image signal containing image data of the target blood vessel.

[0056] In some examples, the probe 112 may include a second probe. In some examples, the first probe may collect blood vessel information by emitting a light signal (e.g., near-infrared light). Specifically, the second probe may emit a light signal, which passes through the catheter 111 to reach the blood vessel wall and is reflected by the blood vessel wall. The second probe may receive the reflected light signal (i.e., the light image signal) and transmit it to an external device through the connecting passage 115. In some examples, the light image signal obtained by the second probe may be an image signal containing image data of the target blood vessel.

[0057] In some examples, the probe 112 may include a first probe and a second probe. In this case, the probe 112 may transmit an ultrasound signal and / or an optical signal to obtain an ultrasound image signal and an optical image signal of a distance of the target blood vessel, respectively. In some examples, the first probe and the second probe may be located in the same component. In other examples, the second probe may be disposed in the first probe, the first probe may be provided with a window matching the second probe, and the second probe may transmit an optical signal from the window to collect blood vessel information.

[0058] In some examples, the probe 112 may record the acquisition time of the vascular information at the corresponding position of the target blood vessel, thereby facilitating the subsequent registration of the data (eg, vascular parameters or image data) included in the vascular information.

[0059] In some examples, the vascular information collected by the probe 112 can be transmitted to an external device (e.g., the withdrawal mechanism 114 or the imaging module 120) through the connecting path 115. In some examples, the connecting path 115 may include a connecting wire and / or an optical fiber. Specifically, the vascular information collected by the probe 112 through the ultrasonic signal can be transmitted to the external device through the connecting wire, and the vascular information collected by the probe 112 through the optical signal can be transmitted to the external device through the optical fiber. In this way, the vascular information collected by the probe 112 can be transmitted to the external device through the matching transmission medium.

[0060] In some examples, the connection passage 115 may be arranged along the transmission shaft 113. In some examples, the connection passage 115 may be arranged in the inner cavity of the transmission shaft 113. However, the examples disclosed herein are not limited thereto, and the connection passage 115 may also be arranged on the outer wall along the length direction of the transmission shaft 113.

[0061] In some examples, as described above, the image acquisition module 110 may include a retraction mechanism 114 (see Figure 2 ). In some examples, the withdrawal mechanism 114 can be disposed outside the body.

[0062] In some examples, the withdrawal mechanism 114 can be connected to the transmission shaft 113. Specifically, the withdrawal mechanism 114 can have a port that matches the interface 1131 of the transmission shaft 113. The withdrawal mechanism 114 can be connected to the transmission shaft 113 through the port. In this case, the withdrawal mechanism 114 can control the movement of the transmission shaft relative to the target blood vessel.

[0063] In some examples, the withdrawal mechanism 114 may be provided with a signal receiving module (not shown). In some examples, the signal receiving module may be connected to the connection path 115. The signal receiving module may receive a signal containing blood vessel information.

[0064] In some examples, the signal receiving module may pre-process the received signal and transmit it to the imaging module 120, for example, it may perform denoising on the received electrical signal or convert the received optical image signal into a second electrical signal. In other examples, the signal receiving module may transmit the received signal to the imaging module 120.

[0065] In some examples, when the data processing system 10 is working, the image acquisition module 110 can acquire blood vessel information of a certain distance in the target blood vessel. Figure 4 As shown, the target blood vessel may be the blood vessel 300. A first preset position A and a second preset position B may be provided in the blood vessel 300. When the data processing system 10 is working, the probe 112 may be provided at the first preset position A, and the probe 112 may be withdrawn and stopped at the second preset position B by controlling the drive shaft 113 to withdraw and rotate relative to the blood vessel 300 by the withdrawal mechanism 114. In this case, the image acquisition module 110 may acquire blood vessel information of a distance (e.g., from the first preset position A to the second preset position B) in the target blood vessel. In some examples, the first preset position A and the second preset position B may be any position of the target blood vessel. Among them, the second preset position B may be closer to the port where the blood flows into the target blood vessel than the first preset position A.

[0066] In some examples, a developing ring may be provided on the distal end 111b of the catheter 111, or a developing ring may be provided on the probe 112 or on the transmission shaft 113 near the probe 112. In this case, the position of the catheter 111 or the probe 112 in the blood vessel can be determined by X-ray imaging.

[0067] In some examples, the data processing system 10 may include a control module (not shown). In some examples, the control module may be connected to the withdrawal mechanism 114. In some examples, the control module may be used to adjust the withdrawal mechanism 114 to control the withdrawal speed and rotation speed of the transmission shaft 113. For example, the control module may reduce the withdrawal speed of the transmission shaft 113, thereby obtaining more detailed vascular information.

[0068] In some examples, if the probe 112 collects image signals by emitting ultrasound signals, the control module may control the frequency of the ultrasound signals emitted by the probe 112. In some examples, if the probe 112 collects image signals by emitting light signals, the control module may control the frequency of the light signals emitted by the probe 112.

[0069] In some examples, the control module may be provided in the host 20. As described above, the control module may be connected to the retraction mechanism 114. In this case, the host 20 may be connected to the retraction mechanism 114.

[0070] In some examples, as described above, data processing system 10 may include imaging module 120 (see Figure 1 ).

[0071] In some examples, the imaging module 120 can be connected to the image acquisition module 110. For example, the imaging module 120 can be connected to the retraction mechanism 114.

[0072] In some examples, the imaging module 120 may receive the blood vessel information from the image acquisition module 110 , and the imaging module 120 may process the obtained blood vessel information.

[0073] In some examples, if the blood vessel information is an image signal including image data, the imaging module 120 may obtain a plurality of blood vessel cross-sectional images in the target blood vessel based on the blood vessel information (see Figure 6 (a) and Figure 6 (b)). That is, the imaging module 120 can receive the image signal from the image acquisition module 110, and obtain a plurality of blood vessel cross-sectional images in the target blood vessel based on the image signal.

[0074] In some examples, the imaging module 120 may obtain information such as the cross-sectional area size and acquisition time of each blood vessel cross-sectional image. In some examples, the registration module 130 may register multiple blood vessel cross-sectional images using the acquisition time of the angiography image and each blood vessel cross-sectional image (described in detail later). In this way, multiple blood vessel cross-sectional images can be registered.

[0075] In some examples, the blood vessel cross-sectional image may be a cross-sectional image along the width direction (or radial direction) of the blood vessel. In some examples, the blood vessel cross-sectional image may be an oblique cross-sectional image located between the width direction (or radial direction) and the length direction (or axial direction). In some examples, the angle between the cross-sectional direction and the length direction of the blood vessel cross-sectional image in the blood vessel cross-sectional image may be adjusted by adjusting the retraction speed of the transmission shaft 113 or the frequency at which the probe 112 transmits the ultrasonic signal or the optical signal. In the example involved in this embodiment, the blood vessel cross-sectional image obtained may be a cross-sectional image by reducing the retraction speed of the transmission shaft 113.

[0076] However, the examples of the present disclosure are not limited thereto. In some examples, the imaging module 120 can obtain the vascular parameters of the target blood vessel using the vascular information, for example, it can obtain information such as the vascular cross-sectional area at each position of the measured target blood vessel. In some examples, the imaging module 120 can also obtain information such as the acquisition time corresponding to each vascular parameter. This makes it easier to subsequently obtain the position of the target blood vessel corresponding to each vascular parameter.

[0077] In some examples, if the probe 112 simultaneously transmits an ultrasound signal and an optical signal to obtain an ultrasound image signal and an optical image signal, the imaging module 120 can generate multiple ultrasound images of the target blood vessel based on the ultrasound image signal, and the imaging module 120 can generate multiple OCT images of the target blood vessel based on the optical image signal.

[0078] In some examples, the imaging module 120 may synthesize the ultrasound image with the corresponding OCT image to obtain multiple blood vessel cross-sectional images (not shown). Specifically, the imaging module 120 may use each OCT image as a reference image in turn, and then synthesize the ultrasound image acquired at the same time as the reference image with the reference image, for example, adding the effective information in the ultrasound image to the reference image. In this way, a more effective and accurate blood vessel cross-sectional image can be obtained.

[0079] Generally speaking, compared with ultrasound signal imaging, optical signal imaging can have higher resolution, that is, optical signals can identify more subtle intravascular structural features; while ultrasound images can have a deeper imaging depth in the width direction (radial direction) of the target blood vessel, and ultrasound signal imaging can have more effective information in the width direction (radial direction). For example, effective information can be side branch information of the target blood vessel, etc. In this case, by adding the effective information contained in the ultrasound image to the OCT image, a more effective blood vessel cross-sectional image can be obtained.

[0080] However, the examples disclosed in the present invention are not limited to this. In other examples, if the probe 112 simultaneously transmits an ultrasound signal and an optical signal to obtain an ultrasound image signal and an optical image signal, the imaging module 120 or the image acquisition module 110 may fuse the acquired ultrasound image signal and optical image signal to obtain a fusion signal, and the imaging module 120 may obtain multiple blood vessel cross-sectional images based on the fusion signal.

[0081] Figure 5 Schematic diagram showing acquisition of a three-dimensional structure of a blood vessel according to an embodiment of the present disclosure. Figure 6 is a schematic diagram showing the acquisition of the whole blood vessel image involved in the embodiment of the present disclosure. Figure 5 (a) and Figure 5 (b) can be different angles Figure 4 Angiographic image of the middle blood vessel 300, Figure 5 (c) Based on Figure 5 (a) and Figure 5 (b) Obtained Figure 4 Schematic diagram of the three-dimensional structure of the blood vessel 300. Figure 6 (a) and Figure 6 (b) are blood vessel cross-sectional images at two different positions in the blood vessel 300, Figure 6 (c) is a whole blood vessel image of the blood vessel 300 obtained based on a plurality of blood vessel cross-sectional images.

[0082] In some examples, as described above, data processing system 10 may include registration module 130 (see Figure 1 In some examples, the registration module 130 can register multiple blood vessel cross-sectional images based on the angiography image to obtain a whole blood vessel image (see Figure 6 (c), which will be described in detail later).

[0083] In some examples, the whole blood vessel image may be a blood vessel image from the position of the probe 112 in the target blood vessel when the probe 112 starts to be retracted to the position of the probe 112 when the retraction stops. Figure 6 As shown in (c), the whole blood vessel image may be a blood vessel image from the first preset position A to the second preset position B in the blood vessel 300.

[0084] In some examples, if the imaging module 120 obtains multiple vascular cross-sectional images of the target vessel, the registration module 130 can register the multiple vascular cross-sectional images based on the angiography image of the target vessel and the acquisition time of each vascular cross-sectional image to obtain a whole vessel image of the target vessel.

[0085] In some examples, the cross-sectional images of the blood vessels corresponding to each position can be obtained through the whole blood vessel image. Figure 6 As shown, Figure 6 The blood vessel cross-sectional image at point C in (c) can correspond to Figure 6 (a) Figure 6 The blood vessel cross-sectional image at D in (c) can correspond to Figure 6 (b).

[0086] In some examples, the patient may be given contrast medium angiography, and an X-ray machine may be used to obtain two angiographic images of the target blood vessel at different angles (see Figure 5 (a) and Figure 5 (b)), the registration module 130 can use the two angiography images to perform three-dimensional modeling on the target blood vessel to obtain the three-dimensional structure of the target blood vessel (see Figure 5 (c)), the registration module 130 can determine the starting position of the probe 112 retracting in the three-dimensional structure (for example, the first preset position A corresponding to 5 (c)) and the retracting direction L, the registration module 130 can obtain the retracting speed of the retracting mechanism 113, and can obtain the acquisition time of each blood vessel cross-sectional image. In this case, the corresponding position of each blood vessel cross-sectional image in the three-dimensional structure can be obtained, thereby obtaining the whole blood vessel image.

[0087] In other examples, when the data processing system 10 is working, an X-ray machine can be used to obtain the initial path of the transmission shaft 113 and the probe 112 in the target blood vessel, and then contrast agent angiography can be performed on the patient, and the angle of the X-ray machine can be adjusted to obtain a vascular angiography image of the target blood vessel. The registration module 130 can obtain the three-dimensional structure of the target blood vessel by performing three-dimensional modeling based on the initial path of the transmission shaft 113 and the probe 112 in the target blood vessel and the vascular angiography image. The registration module 130 can match multiple blood vessel cross-sectional images with the three-dimensional structure using the initial path of the transmission shaft 113 and the probe 112 in the target blood vessel. In this case, the corresponding position of each blood vessel cross-sectional image in the three-dimensional structure can be obtained, so that the three-dimensional structure can be adjusted to obtain the overall image of the blood vessel.

[0088] In some examples, the whole blood vessel image may be a three-dimensional acquisition image obtained using a three-dimensional structure and multiple blood vessel cross-sectional images. For example, the registration module 130 may adjust the three-dimensional structure of the target blood vessel based on the blood vessel parameters (e.g., cross-sectional area, etc.) included in the multiple blood vessel cross-sectional images, thereby obtaining a whole blood vessel image. That is, the whole blood vessel image may be a three-dimensional image including blood vessel parameters at various positions within a certain distance of the target blood vessel.

[0089] In some examples, the whole blood vessel image may also be a discrete image including an angiographic image and a blood vessel cross-sectional image matching the angiographic image. Specifically, contrast agent angiography may be performed on the patient, and an angiographic image of the target blood vessel may be obtained using an X-ray machine. The registration module 130 may obtain the angiographic image of the target blood vessel, and may determine the corresponding position of the starting position (or "starting position") of the probe 112 withdrawn when the data processing system 10 is working in the angiographic image and the withdrawal direction of the probe 112. Then, the registration module 130 may determine the corresponding position of each blood vessel cross-sectional image in the angiographic image by obtaining the withdrawal speed of the withdrawal mechanism 114 and the acquisition time of each blood vessel cross-sectional image, and may match the angiographic image with each blood vessel cross-sectional image. Thus, a whole blood vessel image including an angiographic image and a blood vessel cross-sectional image matching the angiographic image may be obtained. In other examples, the whole blood vessel image may also be a target angiographic image obtained based on the angiographic image and multiple blood vessel parameters. Specifically, the registration module 130 may obtain an angiography image of the target blood vessel, and then determine the position of each blood vessel parameter in the angiography image matching, thereby matching each blood vessel parameter with the angiography image, thereby obtaining an overall blood vessel image.

[0090] However, the examples disclosed herein are not limited thereto. In some examples, the registration module 130 may match the multiple vascular parameters or multiple vascular cross-sectional images obtained by the imaging module 120 with the angiography image to obtain the overall vascular information. The overall vascular information may include multiple vascular parameters within a certain distance of the target vessel and information such as the vascular position corresponding to each vascular parameter. For example, the overall vascular information may include information such as the cross-sectional area corresponding to each position within a certain distance of the target vessel. In some examples, the registration module 130 may match the multiple vascular parameters or multiple vascular cross-sectional images with the angiography image using the acquisition time of the angiography image and the multiple vascular parameters or multiple vascular cross-sectional images to obtain the overall vascular information. The specific matching process may be analogous to the acquisition process of the above-mentioned overall vascular image.

[0091] In some examples, data processing system 10 may include an analysis module (not shown). In some examples, the analysis module may be disposed in host 20.

[0092] In some examples, the probe 112 can collect image signals by emitting light signals, and the probe 112 can emit light signals with a first frequency and receive light signals with a second frequency reflected by the blood vessel wall. The analysis module can analyze the first frequency and the second frequency by the Brillouin scattering principle to obtain biomechanical information of the corresponding position of the target blood vessel.

[0093] Specifically, the analysis module can obtain the first frequency, the second frequency and the time information corresponding to the second frequency based on the image signal received by the imaging module 120. The analysis module can analyze the first frequency and the second frequency through the Brillouin scattering principle to obtain biomechanical information, such as information such as the hardness of the blood vessel. The analysis module can determine the corresponding position of the biomechanical information in the target blood vessel through the corresponding time information and the overall blood vessel information or the overall blood vessel image of the registration module 130, so as to determine the blood vessel state at the corresponding position, for example, judging whether there is a plaque or other state at the corresponding position through the biomechanical information. In this case, the biomechanical information of the target blood vessel can be obtained, thereby enabling the target blood vessel to be evaluated, and the potential lesions of the target blood vessel to be identified.

[0094] In some examples, as described above, data processing system 10 may include computing module 140 (see Figure 1 In some examples, the calculation module 140 can obtain a target blood vessel image based on the whole blood vessel image or the whole blood vessel information and a preset curve, and calculate the intravascular pressure at any position in the target blood vessel image according to the principle of fluid mechanics, that is, the intravascular pressure at any position in the target blood vessel can be obtained.

[0095] In some examples, the preset curve may be a curve showing the cross-sectional area of ​​the target blood vessel changing with the cardiac cycle, wherein the cardiac cycle may include a systolic period of cardiac contraction and a diastolic period of cardiac relaxation.

[0096] In other examples, the preset curve may also be a curve in which the ratio of the cross-sectional area of ​​the target vessel at various periods of the cardiac cycle to the cross-sectional area of ​​the target vessel at the end of diastole changes with the cardiac cycle.

[0097] In some examples, the preset curve can be obtained based on measurement experience and pre-set in the calculation module 140. In some examples, by statistically analyzing the cross-sectional areas of the same blood vessel (e.g., target blood vessel) corresponding to multiple patients and normal persons at various periods of the cardiac cycle, a general ratio (referred to as "ratio") of the cross-sectional area at various periods to the cross-sectional area at the end of the diastole can be obtained, so that a curve of the cross-sectional area of ​​the blood vessel changing with the cardiac cycle can be obtained, or a curve of the ratio of the cross-sectional area of ​​the blood vessel at various periods to the cross-sectional area at the end of the diastole can be obtained. In this case, the preset curve can be obtained, and the preset curve can reflect the change of the cross-sectional area of ​​the corresponding target blood vessel. In some examples, the preset curve can be obtained under the condition of limiting one or more factors, for example, the preset curves corresponding to people of different age groups can be obtained, or the preset curves corresponding to people of different genders can be obtained.

[0098] In some examples, as described above, the calculation module 140 can obtain the target vessel image based on the whole vessel image or the whole vessel information and the preset curve. In some examples, the target vessel image can be a three-dimensional image of the target vessel at a distance along the length direction of the vessel at the end of the diastole in the cardiac cycle.

[0099] In some examples, the calculation module 140 can select any position from the whole blood vessel image or the whole blood vessel information as the target position, and can obtain the first cross-sectional area and the corresponding target period of the target blood vessel at the target position. In some examples, the target period corresponding to the target blood vessel at the target position can refer to a period in the cardiac cycle where the target position is located when the blood vessel information at the target position is collected.

[0100] In some examples, the calculation module 140 can confirm the target period at the target position in the whole blood vessel image or the whole blood vessel information according to the acquisition time corresponding to the blood vessel information at the acquisition target position by the image acquisition module 110 and the electrocardiogram. Specifically, when the image acquisition module 110 acquires blood vessel information, the electrocardiogram of the patient can be measured simultaneously using an electrocardiogram recorder, and the calculation module 140 can obtain the electrocardiogram and the acquisition time corresponding to the blood vessel information at the acquisition target position. In this case, a certain period in the cardiac cycle corresponding to the acquisition time in the electrocardiogram can be determined, thereby confirming the target period at the target position in the whole blood vessel image or the whole blood vessel information.

[0101] In some examples, the calculation module 140 can obtain a target ratio of the cross-sectional area of ​​the target blood vessel at the target period to the cross-sectional area of ​​the target blood vessel at the end of diastole based on the target period corresponding to the target position and the preset curve, so as to obtain the target cross-sectional area of ​​the target blood vessel at the target position when it is at the end of diastole based on the target ratio and the first cross-sectional area. In this way, the target cross-sectional area of ​​the target blood vessel at the target position at the end of diastole can be obtained, which can facilitate the subsequent acquisition of the target blood vessel image.

[0102] In some examples, the calculation module 140 can sequentially obtain the target cross-sectional areas corresponding to each position in the whole blood vessel image based on the whole blood vessel image or the whole blood vessel information and the preset curve. In some examples, the calculation module 140 can adjust the whole blood vessel image using the target cross-sectional areas corresponding to each position to obtain the target blood vessel image. In this way, the target blood vessel image can be obtained.

[0103] In some examples, the calculation module 140 may calculate the intravascular pressure corresponding to any position in the target blood vessel image based on the principles of fluid mechanics.

[0104] Specifically, the calculation module 140 can obtain the intravascular pressure at any position in the target blood vessel image through the initial pressure value and the preset formula. In some examples, the initial pressure value can be the pressure value at the end of diastole at a preset position in a distance of the target blood vessel. For example, the preset position can be the port where blood flows into the target blood vessel. In some examples, the preset formula can satisfy: Among them, ΔP represents the pressure difference between the intravascular pressures at two locations in the target blood vessel, μ represents the dynamic viscosity coefficient, l represents the blood vessel length between the two locations, r represents the average radius of the blood vessel cross section between the two locations, and F represents the blood flow in the target blood vessel. In this way, the intravascular pressure at any location in the target blood vessel can be obtained.

[0105] However, the examples disclosed herein are not limited thereto. In some examples, the calculation module 140 may also sequentially obtain a predetermined target cross-sectional area (which may be analogous to the target cross-sectional area mentioned above) corresponding to each position based on the vascular parameters corresponding to each position contained in the overall vascular image or the overall vascular information and a preset curve. The calculation module 140 may obtain the intravascular pressure at each position of the target blood vessel within a distance based on the flow dynamics principles and the predetermined target cross-sectional area corresponding to each position.

[0106] Generally speaking, the diagnosis and treatment of vascular lesions in the prior art require multiple interventional operations in the patient's body. For example, a pressure guide wire is usually used to measure the intravascular pressure to obtain the blood flow reserve fraction or the waveform-free pressure ratio for functional judgment. If the functional judgment result is positive, it is necessary to use intracavitary imaging tools (vascular ultrasound imaging or optical interference tomography, etc.) to image the part with vascular lesions, so as to determine the specific situation of the vascular lesions, and then guide the formulation of treatment strategies before surgery, guide treatment during surgery, and evaluate the treatment effect after surgery. In this case, the diagnosis and treatment of vascular lesions require multiple interventional catheters, and the results of each interventional diagnostic operation are also difficult to achieve effective integration. Different from this, in the example involved in this embodiment, the calculation module 140 can calculate the hemodynamic index of the predetermined position in the target blood vessel based on the intravascular pressure in the target blood vessel image. The hemodynamic index can be obtained in this way. For example, the calculation module 140 can calculate the pressure ratio between two positions in the target blood vessel based on the intravascular pressure in the target blood vessel image, and the pressure ratio can be used as the waveform-free pressure ratio corresponding to the blood vessel portion of the target blood vessel between the two positions. In this case, the calculation module 140 or the medical staff can compare the obtained pressure ratio with the preset threshold value, thereby being able to evaluate the vascular condition of the target blood vessel between the two positions, for example, Figure 4 As shown, the waveform-free pressure ratio corresponding to the blood vessel portion between two positions (the first preset position A to the second preset position B) in the blood vessel 300 can be obtained, and a functional judgment can be made on the portion. If the functional judgment result is positive, it can be determined that there is a vascular lesion (for example, a stenotic lesion 301) between the two positions of the blood vessel 300, and then a blood vessel cross-sectional image corresponding to the vascular lesion portion can be obtained. In this case, it can be helpful for medical staff to confirm the specific situation of the vascular lesion, thereby facilitating subsequent treatment.

[0107] In some examples, the preset threshold value can be obtained by collecting and processing the pressure in the blood vessels of non-ill persons. In some examples, the preset threshold value can be obtained based on past experience and set by medical staff.

[0108] The following, combined Figure 7 A data processing method based on a blood vessel image according to an example of the present embodiment will be described in detail. Figure 7 A flow chart of a data processing method based on a blood vessel image according to an embodiment of the present disclosure is shown.

[0109] The data processing method involved in the example of this embodiment may include: obtaining an angiographic image of a target blood vessel and multiple blood vessel cross-sectional images at a distance of the target blood vessel (step S10); registering the multiple blood vessel cross-sectional images based on the angiographic image to obtain an overall blood vessel image (step S20); selecting any position as a target position based on the overall blood vessel image and obtaining a first cross-sectional area of ​​the target blood vessel at the target position and a corresponding target period, obtaining a target ratio of the blood vessel cross-sectional area of ​​the target blood vessel at the target period to the blood vessel cross-sectional area at the end of diastole based on a preset curve, obtaining a target cross-sectional area of ​​the target blood vessel at the target position and at the end of diastole based on the target ratio and the first cross-sectional area, thereby obtaining the target cross-sectional areas corresponding to each position in the target blood vessel, and then adjusting the overall blood vessel image using the target cross-sectional areas corresponding to each position to obtain the target blood vessel image (step S30); calculating the intravascular pressure at any position in the target blood vessel image according to the principle of fluid mechanics (step S40).

[0110] In the data processing method involved in this embodiment, the whole blood vessel image can be obtained by acquiring the contrast image of the target blood vessel and multiple blood vessel cross-sectional images at a distance, the target blood vessel image can be obtained based on the whole blood vessel image and a preset curve, and the intravascular pressure at each position of the target blood vessel image can be calculated based on the principles of fluid mechanics.

[0111] In this embodiment, the acquisition and processing of the target blood vessel, blood vessel cross-sectional image, angiography image, whole blood vessel image, target cross-sectional area, target blood vessel image and intravascular pressure in the data processing method can refer to the above-mentioned target blood vessel, blood vessel cross-sectional image, angiography image, whole blood vessel image, preset curve, target cross-sectional area, target blood vessel image and intravascular pressure.

[0112] In step S10 , as described above, a blood vessel angiography image of the target blood vessel and a plurality of blood vessel cross-sectional images of a distance of the target blood vessel may be acquired.

[0113] In some examples, interventional catheter technology can be used to obtain multiple cross-sectional images of a target blood vessel at a distance. For example, multiple cross-sectional images of a target blood vessel can be obtained using vascular ultrasound imaging (i.e., IVUS imaging) and / or optical interferometry tomography (i.e., OCT imaging). For details, see the above-mentioned image acquisition module 110 and imaging module 120.

[0114] In some examples, an angiographic image of the target blood vessel may be obtained using an X-ray machine and contrast agents.

[0115] In step S20, as described above, multiple blood vessel cross-sectional images can be registered based on the angiographic image to obtain an overall blood vessel image. For example, contrast agent angiography can be performed on the patient, and two angiographic images of the target blood vessel at different angles can be obtained using an X-ray machine. The two angiographic images can be used to perform three-dimensional modeling of the target blood vessel to obtain a three-dimensional structure of the target blood vessel. The starting position (e.g., the first preset position A) and the withdrawal direction of the probe 112 can be determined in the three-dimensional structure, the withdrawal speed of the withdrawal mechanism 113 can be obtained, and the acquisition time of each blood vessel cross-sectional image can be obtained. In this case, the corresponding position of each blood vessel cross-sectional image in the three-dimensional structure can be obtained, thereby obtaining an overall blood vessel image. For the specific process, please refer to the above-mentioned registration module 130.

[0116] In step S30, as described above, any position can be selected as the target position based on the whole blood vessel image and the first cross-sectional area of ​​the target blood vessel at the target position and the corresponding target period can be obtained. The target ratio of the cross-sectional area of ​​the target blood vessel at the target period to the cross-sectional area of ​​the blood vessel at the end of the diastolic period can be obtained based on the preset curve. The target cross-sectional area of ​​the target blood vessel at the target position and at the end of the diastolic period can be obtained based on the target ratio and the first cross-sectional area, so that the target cross-sectional area corresponding to each position in the target blood vessel can be obtained, and then the target cross-sectional area corresponding to each position can be used to adjust the whole blood vessel image to obtain the target blood vessel image. The specific process can be referred to the above-mentioned calculation module 140.

[0117] In some examples, the preset curve may be a curve showing the cross-sectional area of ​​the target vessel changing with the cardiac cycle. In other examples, the preset curve may also be a curve showing the ratio of the cross-sectional area of ​​the target vessel at various stages of the cardiac cycle to the cross-sectional area of ​​the target vessel at the end of diastole changing with the cardiac cycle.

[0118] In some examples, the target blood vessel image may be a three-dimensional image of the target blood vessel at a distance along the length direction of the blood vessel when the target blood vessel is at the end of the diastolic phase of the cardiac cycle.

[0119] In step S40, as described above, the intravascular pressure at any position in the target blood vessel image can be calculated according to the principle of fluid mechanics. The specific process can be referred to the calculation module 140 described above.

[0120] In some examples, the intravascular pressure at any position in the target vessel image can be obtained by using the initial pressure value and the preset formula. In some examples, the initial pressure value can be the pressure value at the end of diastole at a preset position in a distance of the target vessel. For example, the preset position can be the port where blood flows into the target vessel. In some examples, the target vessel can be a coronary artery. The preset position can be the aortic port where blood flows from the aorta into the coronary artery. In this way, the preset position can be determined, which can facilitate the subsequent acquisition of the intravascular pressure. In some examples, the preset formula can satisfy: Among them, ΔP represents the pressure difference between the intravascular pressures at two locations in the target blood vessel, μ represents the dynamic viscosity coefficient, l represents the blood vessel length between the two locations, r represents the average radius of the blood vessel cross section between the two locations, and F represents the blood flow in the target blood vessel. In this way, the intravascular pressure at any location in the target blood vessel can be obtained.

[0121] In some examples, the data processing method may include calculating a hemodynamic index at a predetermined position in the target blood vessel based on the intravascular pressure in the target blood vessel image. In this way, a hemodynamic index can be obtained. For example, a pressure ratio between two positions in the target blood vessel can be calculated based on the intravascular pressure in the target blood vessel image, and the pressure ratio can be used as a waveform-free pressure ratio corresponding to the blood vessel portion of the target blood vessel between the two positions. In this case, medical staff can compare the obtained pressure ratio with a preset threshold value, thereby being able to evaluate the blood vessel condition corresponding to the target blood vessel between the two positions (for example, whether there is a stenotic lesion).

[0122] In some examples, the preset threshold value can be obtained by collecting and processing the pressure in the blood vessels of non-ill persons. In some examples, the preset threshold value can be obtained based on past experience and set by medical staff.

[0123] Although the present disclosure is specifically described above in conjunction with the accompanying drawings and embodiments, it is to be understood that the above description does not limit the present disclosure in any form. Those skilled in the art may modify and change the present disclosure as needed without departing from the essential spirit and scope of the present disclosure, and these modifications and changes all fall within the scope of the present invention.

Claims

1. A data processing system based on vascular images, characterized in that: include: An image acquisition module, comprising a catheter, a probe and a transmission shaft arranged in a target blood vessel, and a retraction mechanism arranged outside the body, wherein the probe is connected to the transmission shaft and moves with the transmission shaft, the probe and the transmission shaft are arranged inside the catheter, the retraction mechanism is connected to an end of the transmission shaft away from the probe and controls the transmission shaft to move relative to the catheter, and the image acquisition module uses the probe to acquire an image signal of a distance of the target blood vessel; an imaging module connected to the image acquisition module, receiving the image signal from the image acquisition module, and acquiring a plurality of blood vessel cross-sectional images in the target blood vessel based on the image signal; a registration module, which registers the plurality of blood vessel cross-sectional images based on the angiography image of the target blood vessel to obtain an overall blood vessel image; A calculation module is provided for obtaining a target blood vessel image of the target blood vessel based on the whole blood vessel image and a preset curve, and calculating the intravascular pressure at any position in the target blood vessel image according to the principle of fluid mechanics, wherein the preset curve is a curve showing that the cross-sectional area of ​​the target blood vessel changes with the cardiac cycle, and the target blood vessel image is a three-dimensional image of the blood vessel at a distance along the length direction of the blood vessel when the target blood vessel is at the end of the diastole in the cardiac cycle.

2. The data processing system according to claim 1, characterized in that: The probe collects image signals by emitting ultrasonic signals and / or optical signals.

3. The data processing system according to claim 2, characterized in that: The image signal collected by the probe through ultrasonic signals is transmitted to the imaging module through connecting wires, and the image signal collected by the probe through optical signals is transmitted to the imaging module through optical fibers. The connecting wires and the optical fibers are arranged along the transmission shaft.

4. The data processing system according to claim 2, characterized in that: The probe simultaneously transmits an ultrasonic signal and an optical signal to obtain an ultrasonic image signal and an optical image signal of a distance of the target blood vessel. The imaging module generates an ultrasonic image inside the target blood vessel based on the ultrasonic image signal, generates an OCT image based on the optical image signal, and synthesizes the ultrasonic image with the OCT image to obtain a plurality of cross-sectional images of the blood vessel.

5. The data processing system according to claim 1, characterized in that: The calculation module calculates a hemodynamic index at a predetermined position in the target blood vessel based on the intravascular pressure in the target blood vessel image.

6. The data processing system according to any one of claims 1 to 5, characterized in that: The probe transmits a light signal of a first frequency and receives a light signal of a second frequency reflected by a blood vessel wall of the target blood vessel, The data processing system further comprises an analysis module, which analyzes the first frequency and the second frequency by using the Brillouin scattering principle to obtain biomechanical information of a corresponding position of the target blood vessel.

7. The data processing system according to claim 1, characterized in that: The imaging module acquires the cross-sectional area size and acquisition time of each blood vessel cross-sectional image, and the registration module performs registration with the angiography image based on the acquisition time of the blood vessel cross-sectional image.

8. The data processing system according to claim 1, characterized in that: The calculation module selects any position from the overall image of the blood vessel as the target position and obtains a first cross-sectional area of ​​the target blood vessel at the target position and a corresponding target period. The calculation module obtains a target ratio of the cross-sectional area of ​​the target blood vessel at the target period to the cross-sectional area of ​​the blood vessel at the end of diastole based on the preset curve. The calculation module obtains a target cross-sectional area of ​​the target blood vessel at the target position when it is at the end of diastole based on the target ratio and the first cross-sectional area.

9. The data processing system according to claim 8, characterized in that: The calculation module obtains the target cross-sectional areas corresponding to each position in the target blood vessel based on the whole blood vessel image and the preset curve, and adjusts the whole blood vessel image using the target cross-sectional areas corresponding to each position to obtain the target blood vessel image.

10. The data processing system according to claim 1, characterized in that: The step of calculating the intravascular pressure by the calculation module according to the principle of fluid mechanics specifically includes: the calculation module obtains the intravascular pressure at any position in the target blood vessel image through an initial pressure value and a preset formula, wherein the initial pressure value is a pressure value when the preset position in the distance of the target blood vessel is at the end of diastole, and the preset formula satisfies: ,in, It is expressed as the pressure difference between the intravascular pressures at two locations in the target blood vessel. Expressed as the dynamic viscosity coefficient, It is expressed as the length of the blood vessel between the two locations, Expressed as the average radius of the blood vessel cross section between two locations, Expressed as the blood flow rate in the target vessel.

11. A data processing method based on a blood vessel image, characterized in that: include: acquiring an angiographic image of a target blood vessel and a plurality of blood vessel cross-sectional images of a distance of the target blood vessel, Based on the angiography image, the plurality of blood vessel cross-sectional images are registered to obtain a whole blood vessel image, Based on the whole blood vessel image, any position is selected as the target position and the first cross-sectional area of ​​the target blood vessel at the target position and the corresponding target period are obtained; based on a preset curve, a target ratio of the cross-sectional area of ​​the target blood vessel at the target period to the cross-sectional area of ​​the target blood vessel at the end of diastole is obtained; based on the target ratio and the first cross-sectional area, a target cross-sectional area of ​​the target blood vessel at the target position and at the end of diastole is obtained, thereby obtaining the target cross-sectional areas corresponding to each position in the target blood vessel; further, the whole blood vessel image is adjusted using the target cross-sectional areas corresponding to each position to obtain a target blood vessel image; and the intravascular pressure at any position in the target blood vessel image is calculated according to the principle of fluid mechanics, wherein the preset curve is a curve showing that the cross-sectional area of ​​the target blood vessel changes with the cardiac cycle, and the target blood vessel image is a three-dimensional image of the blood vessel at a distance along the length direction of the blood vessel at the end of diastole in the cardiac cycle.

12. The data processing method according to claim 11, characterized in that: The step of calculating the intravascular pressure according to the principle of fluid mechanics specifically includes: obtaining the intravascular pressure at any position in the target blood vessel image by using an initial pressure value and a preset formula, wherein the initial pressure value is a pressure value when a preset position in the distance of the target blood vessel is at the end of diastole, and the preset formula satisfies: ,in, It is expressed as the pressure difference between the intravascular pressures at two locations in the target blood vessel. Expressed as the dynamic viscosity coefficient, It is expressed as the length of the blood vessel between the two locations, Expressed as the average radius of the blood vessel cross section between two locations, Expressed as the blood flow rate in the target vessel.

13. The data processing method according to claim 12, characterized in that: The preset position is the port where blood flows into the target blood vessel.

14. The data processing method according to claim 11, characterized in that: The data processing method further includes calculating a hemodynamic index at a predetermined position in the target blood vessel based on the intravascular pressure in the target blood vessel image.

Images