Magnetic resonance blood vessel structure analysis method and device, computer equipment and storage medium

Abstract

The invention relates to the technical field of magnetic resonance and medicine, and discloses a magnetic resonance blood vessel structure analysis method and device, computer equipment and a storage medium, the method comprises the following steps: obtaining first T2 relaxation time and second T2 relaxation time, the first T2 relaxation time is T2 relaxation time obtained by nuclear magnetic resonance imaging by using an SE sequence, and the second T2 relaxation time is T2 relaxation time obtained by nuclear magnetic resonance imaging by using an SE sequence; the second T2 relaxation time is T2 relaxation time obtained by performing nuclear magnetic resonance imaging by adopting a GE sequence; calculating based on the first T2 relaxation time and the second T2 relaxation time, and determining the average radius of blood vessels in the lesion tissue and the microvessel density; medical analysis is carried out based on the average radius and the capillary density of the blood vessels, the average radius and the capillary density of the blood vessels in the diseased tissue can be provided and then analyzed, the blood vessel condition of the diseased tissue can be evaluated, and the blood vessel change of the surrounding area of the diseased tissue can be quantitatively analyzed; a more comprehensive treatment effect is facilitated, and the accuracy of early diagnosis of tumors is improved.

Description

Technical Field

[0001] The present invention relates to the field of magnetic resonance and medical technology, and in particular to a magnetic resonance blood vessel structure analysis method, device, computer equipment and storage medium. Background Art

[0002] Angiogenesis is an important stage in the development of tumors. The rapidly growing blood vessels of tumors have increased vascular density and larger vascular diameters compared with normal tissues. Tumor angiogenesis is associated with rapid tumor growth. Compared with normal tissues, the vascular density and vascular diameter of certain areas of the tumor are increased. Microvessel density is a major factor in predicting tumor aggressiveness and the prognosis of patients with different types of tumors. Conventional examinations may not be sampled from the most invasive or typical parts of the tumor because of the small biopsy specimens. In addition, the invasive nature of immunohistochemistry prevents its use for follow-up after treatment. Among all in vivo microvascular imaging, MRI can provide information on brain perfusion.

[0003] At present, MRI-based vascular imaging technology has developed to a certain extent. Commonly used imaging methods include contrast agent-based imaging and functional MRI (fMRI). Some existing technologies use specific contrast agents to improve the visualization of tumors, such as dynamic contrast enhancement-MRI (DCE-MRI) and magnetic resonance imaging (MRA). However, most of these technologies cannot provide accurate quantitative indicators such as blood vessel size and microvascular density, which affects the diagnosis of early tumors and the monitoring of treatment effects. Traditional MRI imaging methods rely on invasive examinations (such as biopsies) to obtain tissue samples of tumors. In addition, many technologies cannot provide detailed data on the status of tumor microvessels, nor can they accurately monitor changes in tumors after treatment. Summary of the invention

[0004] Based on this, it is necessary to address the technical problem that the vascular structure analysis effect of the existing technology is poor, and propose a magnetic resonance vascular structure analysis method, device, computer equipment and storage medium.

[0005] In a first aspect, a magnetic resonance vascular structure analysis method is provided, the method comprising:

[0006] Acquire a first T2 relaxation time and a second T2 relaxation time, wherein the first T2 relaxation time is the T2 relaxation time obtained by performing nuclear magnetic resonance imaging of the target living body's diseased tissue using an SE sequence, and the second T2 relaxation time is the T2 relaxation time obtained by performing nuclear magnetic resonance imaging of the diseased tissue using a GE sequence;

[0007] Calculate based on the first T2 relaxation time and the second T2 relaxation time to determine the average radius of blood vessels and microvessel density in the lesion tissue;

[0008] Medical analysis is performed based on the average radius of blood vessels and the microvessel density.

[0009] In a second aspect, a magnetic resonance vascular structure analysis device is provided, the device comprising:

[0010] An acquisition module, used to acquire a first T2 relaxation time and a second T2 relaxation time, wherein the first T2 relaxation time is the T2 relaxation time obtained by performing nuclear magnetic resonance imaging on the target living body's diseased tissue using an SE sequence, and the second T2 relaxation time is the T2 relaxation time obtained by performing nuclear magnetic resonance imaging on the diseased tissue using a GE sequence;

[0011] A calculation module, used to calculate based on the first T2 relaxation time and the second T2 relaxation time to determine the average radius of the blood vessels and the microvessel density in the diseased tissue;

[0012] An analysis module is used to perform medical analysis based on the average radius of the blood vessels and the microvessel density.

[0013] In a third aspect, a computer device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned magnetic resonance vascular structure analysis method when executing the computer program.

[0014] In a fourth aspect, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned magnetic resonance vascular structure analysis method are implemented.

[0015] The magnetic resonance vascular structure analysis method proposed in the present invention obtains a first T2 relaxation time and a second T2 relaxation time, wherein the first T2 relaxation time is the T2 relaxation time obtained by performing magnetic resonance imaging of the target living body's diseased tissue using an SE sequence, and the second T2 relaxation time is the T2 relaxation time obtained by performing magnetic resonance imaging of the diseased tissue using a GE sequence, and then calculates based on the first T2 relaxation time and the second T2 relaxation time to determine the average radius of the blood vessels in the diseased tissue and the microvascular density, and finally performs a medical analysis based on the average radius of the blood vessels and the microvascular density, which can provide the average radius of the blood vessels in the diseased tissue and the microvascular density, and then analyze them, which can not only evaluate the vascular condition of the diseased tissue, but also quantitatively analyze the vascular changes in the area surrounding the diseased tissue, which is conducive to a more comprehensive treatment effect and improves the accuracy of early diagnosis of tumors. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] in:

[0018] Figure 1 A diagram showing an application environment of a magnetic resonance vascular structure analysis method in one embodiment;

[0019] Figure 2 is a flow chart of a magnetic resonance vascular structure analysis method in one embodiment;

[0020] Figure 3 A schematic diagram of blood vessel structure imaging parameters of a magnetic resonance blood vessel structure analysis method in one embodiment;

[0021] Figure 4 9.4T magnetic resonance imaging (MRI) and pathological images of a magnetic resonance vascular structure analysis method in one embodiment;

[0022] Figure 5 is a structural block diagram of a magnetic resonance blood vessel structure analysis device in one embodiment;

[0023] Figure 6 is a structural block diagram of a computer device in one embodiment;

[0024] Figure 7 It is a structural block diagram of a computer device in another embodiment. DETAILED DESCRIPTION

[0025] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by technicians in the technical field of the present application; the terms used in the specification of the application herein are only for the purpose of describing specific embodiments and are not intended to limit the present application; the terms "including" and "having" and any variations thereof in the specification and claims of the present application and the above-mentioned drawings are intended to cover non-exclusive inclusions. The terms "first", "second", etc. in the specification and claims of the present application or the above-mentioned drawings are used to distinguish different objects, not to describe a specific order.

[0026] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0027] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] The magnetic resonance vascular structure analysis method provided by the embodiment of the present invention can be applied in Figure 1 In an application environment, the client 110 communicates with the server 120 through a network. The server 120 can receive a first T2 relaxation time and a second T2 relaxation time through the client 110, wherein the first T2 relaxation time is the T2 relaxation time obtained by performing magnetic resonance imaging of the target living body's lesion tissue using an SE sequence, and the second T2 relaxation time is the T2 relaxation time obtained by performing magnetic resonance imaging of the lesion tissue using a GE sequence, and then calculate based on the first T2 relaxation time and the second T2 relaxation time to determine the average radius of the blood vessels in the lesion tissue and the microvascular density, and finally perform medical analysis based on the average radius of the blood vessels and the microvascular density, which can provide the average radius of the blood vessels in the lesion tissue and the microvascular density, and then analyze it, which can not only evaluate the vascular condition of the lesion tissue, but also quantitatively analyze the vascular changes in the surrounding area of ​​the lesion tissue, which is conducive to a more comprehensive treatment effect and improves the accuracy of early diagnosis of tumors. Among them, the client 110 can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers and portable wearable devices. The server 120 can be implemented with an independent server or a server cluster consisting of multiple servers. The present invention is described in detail below through specific embodiments.

[0029] See also Figure 2 As shown, Figure 2 A schematic flow chart of a magnetic resonance vascular structure analysis method provided in one embodiment of the present invention includes the following steps:

[0030] Step S101: acquiring a first T2 relaxation time and a second T2 relaxation time, wherein the first T2 relaxation time is the T2 relaxation time obtained by performing nuclear magnetic resonance imaging on the target living body's diseased tissue using an SE sequence, and the second T2 relaxation time is the T2 relaxation time obtained by performing nuclear magnetic resonance imaging on the diseased tissue using a GE sequence;

[0031] The target living body may be a human body, an animal, etc.

[0032] The gradient echo (GE) sequence is a sequence that echoes based on the gradient magnetic field changes. Compared with the spin echo, the GE sequence is faster and has a stronger sensitivity to fluids (such as blood). Its characteristics are as follows: Vascular imaging: The GE sequence has a strong sensitivity to blood flow, especially in the images of fast-moving fluids (such as blood) and arteries, and can provide dynamic information of blood flow. Therefore, it has a good performance for the contours of blood vessels, the speed and direction of blood flow, especially when showing the morphology of blood vessels and changes in blood flow (such as aneurysms, vascular malformations, etc.). Signal characteristics: Due to the characteristics of the gradient echo sequence, the blood flowing in the blood vessels will produce a stronger signal during imaging, while static tissues will show a lower signal. Therefore, the GE sequence is particularly suitable for observing the structure of blood vessels and the dynamics of blood flow, especially when examining lesions with vascular activity.

[0033] The spin echo (SE) sequence is based on the principle of spin echo. It generates imaging signals through 90° and 180° radio frequency pulses and is suitable for providing high tissue contrast. Its characteristics are as follows: Vascular imaging: The SE sequence is mainly used to emphasize the transverse relaxation time (T2) of the tissue and can provide high tissue contrast. Since the composition of the vascular wall is different from that of the surrounding tissue, the use of the SE sequence can more clearly display the vascular wall, the tissue around the vascular wall, and the contrast between the blood vessel and the surrounding structure. This is important for detecting changes in the vascular wall (such as arteriosclerosis or thickening of the vascular endothelium). Signal characteristics: The SE sequence is particularly good at capturing details inside the tissue and can show the structural characteristics of the blood vessel, especially when the contrast between the vascular wall and the surrounding tissue is high. In some cases, the SE sequence can be used to show blood flow in the vascular lumen. Although it is slightly inferior to the GE sequence, it can better show the details of the vascular wall.

[0034] The combination of GE and SE signals using the SAGE (spin and gradient echo) sequence provides more comprehensive vascular imaging by combining the advantages of both: Dynamics and details complement each other: The GE sequence can provide dynamic information of blood flow, help depict the morphology and blood flow velocity of the blood vessels, and is particularly valuable when evaluating the functionality of the blood vessels (such as blood flow disorders, aneurysms, etc.). The SE sequence can provide higher tissue contrast, especially when displaying the vessel wall and surrounding tissue structures. It helps to clearly present the details of the vessel wall and the pathological characteristics of the tissue. Enhance the clarity and diagnostic information of the blood vessels: By combining the GE and SE sequences, more comprehensive vascular images can be obtained. For example, when evaluating cerebrovascular vessels, aneurysms, vascular malformations or cardiovascular diseases, the GE sequence helps to display blood flow, while the SE sequence emphasizes the details of the vascular structure. The GE signal emphasizes blood flow information and rapid dynamic changes, while the SE signal emphasizes the clarity of static structures. In some complex vascular lesions, such as vascular wall thickening, thrombosis or arterial stenosis, combining these two sequences can provide a more comprehensive diagnostic basis.

[0035] Dual sequence imaging method: In actual applications, doctors usually choose to perform GE and SE sequence imaging at the same time. For example, in an MRI scan, a GE sequence scan may be performed first to capture information related to blood flow, and then an SE sequence scan may be performed to emphasize the structural details of the blood vessel wall or lesion area. By comparing the images of the two sequences, lesions or abnormalities in the blood vessels can be more accurately identified, such as blood vessel blockage, aneurysm, thickening or irregularity of the blood vessel wall, etc.

[0036] It should be noted that the GE sequence: provides highly sensitive blood flow information, suitable for observing the morphology of blood vessels, blood flow dynamics and its changes. The SE sequence: provides high-contrast tissue imaging, suitable for observing the structure of the vascular wall and surrounding tissues, revealing details. Combined use: By combining the advantages of GE and SE, a more comprehensive vascular image can be obtained, which can not only capture the dynamic changes of blood flow, but also clearly show the details of the vascular wall and surrounding tissues, enhancing the diagnostic ability of vascular abnormalities (such as thrombus, aneurysm, etc.).

[0037] Step S102: performing calculation based on the first T2 relaxation time and the second T2 relaxation time to determine the average radius of blood vessels and microvessel density in the diseased tissue;

[0038] The first T2 relaxation time is expressed as follows:

[0039]

[0040] Among them, ΔR 2se is the first T2 relaxation time, It is expressed as the T2 relaxation time after contrast agent is injected into the target living body when the target living body's lesion tissue is imaged by magnetic resonance imaging using SE sequence. It is the T2 relaxation time before contrast agent is injected into the target living body when the target living body's lesion tissue is imaged by MRI using SE sequence. TE refers to the echo time, S post It represents the image signal intensity of the SE sequence after contrast agent is injected into the target living body, S pre It indicates the signal intensity corresponding to the SE sequence acquired before contrast agent injection.

[0041] The second T2 relaxation time is expressed as follows:

[0042]

[0043] Among them, ΔR 2ge is the second T2 relaxation time, It is the T2 relaxation time after contrast agent is injected into the target living body when the lesion tissue of the target living body is imaged by GE sequence. It is the T2 relaxation time before contrast agent is injected into the target living body when the target living body's lesion tissue is imaged by GE sequence. TE refers to the echo time. It indicates the image signal intensity of the GE sequence after contrast agent is injected into the target living body. It represents the signal intensity corresponding to the GE sequence acquired before the injection of contrast agent.

[0044] The average radius of blood vessels in the diseased tissue is expressed as follows:

[0045]

[0046] R refers to the average radius of blood vessels in the diseased tissue, γ is the gyromagnetic ratio, and B o is the static magnetic field strength, ΔR 2se refers to the first T2 relaxation time, ΔR 2ge is the second T2 relaxation time, D refers to the diffusion coefficient, and ΔX refers to the additional sensitivity difference between blood vessels and surrounding tissues.

[0047] Microvessel density is expressed as follows:

[0048]

[0049] Here, Q refers to microvessel density.

[0050] Step S103: performing medical analysis based on the average radius of the blood vessels and the microvessel density.

[0051] In one embodiment, medical analysis is performed based on the average radius of the blood vessels, the microvessel density, and the average radius of the blood vessels and the microvessel density of the target living body in the past.

[0052] Specifically, an analysis report is generated based on the average radius of the blood vessel, the microvessel density, the target living body's past average radius of the blood vessel, past microvessel density, and a trained analysis model, wherein the analysis model is obtained by model training based on a convolutional neural network.

[0053] As an example, the diseased tissue can be a tumor area in the human body. The analysis of indicators such as microvascular density and blood vessel size (such as the average radius of blood vessels) of blood vessels inside and outside the tumor is crucial for tumor grading, monitoring tumor growth, evaluating treatment response, and monitoring treatment effects. Quantitative analysis can provide doctors with a more scientific basis for treatment decisions, especially when monitoring the effect of anti-angiogenic treatment, and can effectively evaluate changes in tumor microcirculation.

[0054] As an example, the images obtained by using SE sequence to perform magnetic resonance imaging on the target living body's lesion tissue and the images obtained by using GE sequence to perform magnetic resonance imaging on the target living body's lesion tissue can also be analyzed and visualized. By establishing a quantitative expression model, the images are analyzed to provide visualization images and digital reports including vascular characteristics and microvascular density in the tumor area. This technology can quickly generate high-precision imaging results through computer-assisted analysis, thereby improving the efficiency and accuracy of tumor diagnosis.

[0055] As an example, it is suitable for early diagnosis of tumors and can also help monitor the process and effect of tumor treatment. By comparing the changes in vascular characteristics before and after treatment (such as changes in vascular radius, changes in microvascular density, etc.), the effect of treatment can be effectively evaluated, especially in anti-angiogenic treatment. The present invention can reflect the contraction of tumor blood vessels and the improvement of microcirculation.

[0056] The technical solution of the present invention can provide multi-dimensional quantitative evaluation, not only analyzing the vascular structure of the tumor itself, but also quantitatively evaluating the vascular status of the area around the tumor, providing data support for the precise staging and treatment plan of the tumor. It can provide a more scientific, non-invasive and efficient technical means for the early diagnosis, treatment effect monitoring and efficacy evaluation of brain tumors, improve the accuracy of tumor treatment and reduce the risk of patients.

[0057] The present invention has the following advantages. 1. High-precision quantitative analysis: It provides quantitative data of vascular structure and microvascular density, which improves the accuracy of early diagnosis of tumors. Existing MRI technology usually relies on qualitative evaluation of images, that is, judgments are made by visually observing changes in tumors and their vascular structures. However, this method is easily affected by human factors and experience, which may lead to missed diagnosis or misdiagnosis of early tumors. 2. Multi-dimensional evaluation: It can not only evaluate the vascular situation in the tumor, but also quantitatively analyze the vascular changes in the area around the tumor, which is helpful for more comprehensive monitoring of treatment effects. Although the existing contrast agent-based MRI imaging technology can evaluate the angiogenesis of tumors, it often focuses on the vascular information in the tumor area and lacks a comprehensive evaluation of the microvascular environment around the tumor. Tumor growth and spread not only depend on the vascular network in the tumor, but also the microvascular environment around the tumor plays an important role in the spread and metastasis of the tumor. 3. Non-invasiveness: The present invention is a non-invasive imaging technology that reduces physical damage to patients. The invasiveness of traditional immunohistochemistry examinations prevents them from being used for follow-up after treatment. And because the biopsy specimens are small, they may not be taken from the most invasive or typical part of the tumor.

[0058] refer to Figure 3 , Figure 3 The microvascular structural characteristics of different tumors at 3T are revealed to be different, which improves the accuracy of tumor assessment. According to the figure (right), the spin and gradient echo (SAGE) sequence and the T2 sequence are quantitatively analyzed and calculated to obtain the parameters related to vascular structure imaging. The figure (left) shows the calculated related parameters, including vascular diameter (VSI), blood volume (CBV), vascular density (Q), the slope of the long axis of the vascular structure, the long axis of the vortex curve of the vascular structure (slope length), and the short axis of the vortex curve of the vascular structure (slope axis).

[0059] refer to Figure 4 , Figure 4 9.4T magnetic resonance imaging (MRI) and pathology images were obtained from tumor areas and healthy tissues in the C6 glioma model. Slices showing similar tumor locations were presented in T2-weighted, gradient-echo, and spin-echo images of the SAGE sequence, along with corresponding pathology specimens. In this study, regions of interest (ROIs) were superimposed on T2-weighted and SAGE images.

[0060] See also Figure 5As shown, in one embodiment, a magnetic resonance vascular structure analysis device is provided, the device comprising: an acquisition module 10, used to acquire a first T2 relaxation time and a second T2 relaxation time, wherein the first T2 relaxation time is the T2 relaxation time obtained by performing nuclear magnetic resonance imaging of a target living body's diseased tissue using an SE sequence, and the second T2 relaxation time is the T2 relaxation time obtained by performing nuclear magnetic resonance imaging of the diseased tissue using a GE sequence;

[0061] A calculation module 20, configured to calculate based on the first T2 relaxation time and the second T2 relaxation time to determine the average radius of blood vessels and microvessel density in the diseased tissue;

[0062] The analysis module 30 is used to perform medical analysis based on the average radius of the blood vessels and the microvessel density.

[0063] The first T2 relaxation time is expressed as follows:

[0064]

[0065] Among them, ΔR 2se is the first T2 relaxation time, It is expressed as the T2 relaxation time after contrast agent is injected into the target living body when the target living body's lesion tissue is imaged by magnetic resonance imaging using SE sequence. It is the T2 relaxation time before contrast agent is injected into the target living body when the target living body's lesion tissue is imaged by MRI using SE sequence. TE refers to the echo time, S post It represents the image signal intensity of the SE sequence after contrast agent is injected into the target living body, S pre It indicates the signal intensity corresponding to the SE sequence acquired before contrast agent injection.

[0066] The second T2 relaxation time is expressed as follows:

[0067]

[0068] Among them, ΔR 2ge is the second T2 relaxation time, It is the T2 relaxation time after contrast agent is injected into the target living body when the lesion tissue of the target living body is imaged by GE sequence. It is the T2 relaxation time before contrast agent is injected into the target living body when the target living body's lesion tissue is imaged by GE sequence. TE refers to the echo time. It indicates the image signal intensity of the GE sequence after contrast agent is injected into the target living body. It represents the signal intensity corresponding to the GE sequence acquired before the injection of contrast agent.

[0069] The average radius of blood vessels in the diseased tissue is expressed as follows:

[0070]

[0071] R refers to the average radius of blood vessels in the diseased tissue, γ is the gyromagnetic ratio, and B o is the static magnetic field strength, ΔR 2se refers to the first T2 relaxation time, ΔR 2ge is the second T2 relaxation time, D refers to the diffusion coefficient, and ΔX refers to the additional sensitivity difference between blood vessels and surrounding tissues.

[0072] Microvessel density is expressed as follows:

[0073]

[0074] Here, Q refers to microvessel density.

[0075] The analysis module 30 is used to perform medical analysis based on the average radius of the blood vessel, the microvessel density, and the average radius of the blood vessel and the microvessel density of the target living body in the past.

[0076] The analysis module 30 is used to generate an analysis report based on the average radius of the blood vessel, the microvessel density, the average radius of the blood vessel of the target living body in the past, the microvessel density in the past and a trained analysis model, wherein the analysis model is obtained by model training based on a convolutional neural network.

[0077] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 6 As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile and / or volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external client through a network connection. When the computer program is executed by the processor, it realizes the functions or steps of a magnetic resonance vascular structure analysis method service side.

[0078] In one embodiment, a computer device is provided. The computer device may be a client, and its internal structure diagram may be as follows: Figure 7As shown. The computer device includes a processor, a memory, a network interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external server through a network connection. When the computer program is executed by the processor, it realizes the functions or steps of the client side of a magnetic resonance vascular structure analysis method.

[0079] In one embodiment, a computer device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the following steps are implemented:

[0080] Acquire a first T2 relaxation time and a second T2 relaxation time, wherein the first T2 relaxation time is the T2 relaxation time obtained by performing nuclear magnetic resonance imaging of the target living body's diseased tissue using an SE sequence, and the second T2 relaxation time is the T2 relaxation time obtained by performing nuclear magnetic resonance imaging of the diseased tissue using a GE sequence;

[0081] Calculate based on the first T2 relaxation time and the second T2 relaxation time to determine the average radius of blood vessels and microvessel density in the lesion tissue;

[0082] Medical analysis is performed based on the average radius of blood vessels and the microvessel density.

[0083] The present invention can provide the average radius of blood vessels and microvessel density in diseased tissues, and then analyze them. It can not only evaluate the vascular condition of diseased tissues, but also quantitatively analyze the vascular changes in the areas surrounding the diseased tissues, which contributes to a more comprehensive treatment effect and improves the accuracy of early diagnosis of tumors.

[0084] In one embodiment, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0085] Acquire a first T2 relaxation time and a second T2 relaxation time, wherein the first T2 relaxation time is the T2 relaxation time obtained by performing nuclear magnetic resonance imaging of the target living body's diseased tissue using an SE sequence, and the second T2 relaxation time is the T2 relaxation time obtained by performing nuclear magnetic resonance imaging of the diseased tissue using a GE sequence;

[0086] Calculate based on the first T2 relaxation time and the second T2 relaxation time to determine the average radius of blood vessels and microvessel density in the lesion tissue;

[0087] Medical analysis is performed based on the average radius of blood vessels and the microvessel density.

[0088] The present invention can provide the average radius of blood vessels and microvessel density in diseased tissues, and then analyze them. It can not only evaluate the vascular condition of diseased tissues, but also quantitatively analyze the vascular changes in the areas surrounding the diseased tissues, which contributes to a more comprehensive treatment effect and improves the accuracy of early diagnosis of tumors.

[0089] It should be noted that the above functions or steps that can be implemented by the computer-readable storage medium or computer device can refer to the relevant descriptions on the server side and the client side in the aforementioned method embodiment. To avoid repetition, they will not be described one by one here.

[0090] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0091] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0092] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A magnetic resonance vascular structure analysis method, characterized in that: The magnetic resonance vascular structure analysis method comprises: Acquire a first T2 relaxation time and a second T2 relaxation time, wherein the first T2 relaxation time is the T2 relaxation time obtained by performing nuclear magnetic resonance imaging of the target living body's diseased tissue using an SE sequence, and the second T2 relaxation time is the T2 relaxation time obtained by performing nuclear magnetic resonance imaging of the diseased tissue using a GE sequence; Calculate based on the first T2 relaxation time and the second T2 relaxation time to determine the average radius of blood vessels and microvessel density in the lesion tissue; Medical analysis is performed based on the average radius of blood vessels and the microvessel density.

2. The magnetic resonance vascular structure analysis method according to claim 1, characterized in that: The first T2 relaxation time is expressed as follows: Among them, ΔR 2se is the first T2 relaxation time, It is expressed as the T2 relaxation time after contrast agent is injected into the target living body when the target living body's lesion tissue is imaged by magnetic resonance imaging using SE sequence. It is the T2 relaxation time before contrast agent is injected into the target living body when the target living body's lesion tissue is imaged by MRI using SE sequence. TE refers to the echo time, S post It represents the image signal intensity of the SE sequence after contrast agent is injected into the target living body, S pre It indicates the signal intensity corresponding to the SE sequence acquired before contrast agent injection.

3. The magnetic resonance blood vessel structure analysis method according to claim 2, characterized in that: The second T2 relaxation time is expressed as follows: Among them, ΔR 2ge is the second T2 relaxation time, It is the T2 relaxation time after contrast agent is injected into the target living body when the lesion tissue of the target living body is imaged by GE sequence. It is the T2 relaxation time before contrast agent is injected into the target living body when the target living body's lesion tissue is imaged by GE sequence. TE refers to the echo time. It indicates the image signal intensity of the GE sequence after contrast agent is injected into the target living body. It represents the signal intensity corresponding to the GE sequence acquired before the injection of contrast agent.

4. The magnetic resonance blood vessel structure analysis method according to claim 3, characterized in that: The average radius of blood vessels in the diseased tissue is expressed as follows: R refers to the average radius of blood vessels in the diseased tissue, γ is the gyromagnetic ratio, and B o is the static magnetic field strength, ΔR 2se refers to the first T2 relaxation time, ΔR 2ge is the second T2 relaxation time, D refers to the diffusion coefficient, and ΔX refers to the additional sensitivity difference between blood vessels and surrounding tissues.

5. The magnetic resonance blood vessel structure analysis method according to claim 3, characterized in that: Microvessel density is expressed as follows: Here, Q refers to microvessel density.

6. The magnetic resonance blood vessel structure analysis method according to any one of claims 1 to 5, characterized in that: The step of performing medical analysis based on the average radius of blood vessels and the microvessel density comprises: Medical analysis is performed based on the average radius of the blood vessels, the microvessel density, and the average radius of the blood vessels and the microvessel density in the past of the target living body.

7. The magnetic resonance blood vessel structure analysis method according to claim 6, characterized in that: The step of performing medical analysis based on the average radius of the blood vessel, the microvessel density, and the average radius of the blood vessel and the microvessel density in the past of the target living body comprises: An analysis report is generated based on the average radius of the blood vessel, the microvessel density, the target living body's past average radius of the blood vessel, past microvessel density, and a trained analysis model, wherein the analysis model is obtained by model training based on a convolutional neural network.

8. A magnetic resonance vascular structure analysis device, characterized in that: The magnetic resonance vascular structure analysis device comprises: An acquisition module, used to acquire a first T2 relaxation time and a second T2 relaxation time, wherein the first T2 relaxation time is the T2 relaxation time obtained by performing nuclear magnetic resonance imaging on the target living body's diseased tissue using an SE sequence, and the second T2 relaxation time is the T2 relaxation time obtained by performing nuclear magnetic resonance imaging on the diseased tissue using a GE sequence; A calculation module, used to calculate based on the first T2 relaxation time and the second T2 relaxation time to determine the average radius of the blood vessels and the microvessel density in the diseased tissue; An analysis module is used to perform medical analysis based on the average radius of the blood vessels and the microvessel density.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the magnetic resonance vascular structure analysis method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the magnetic resonance vascular structure analysis method according to any one of claims 1 to 7 are implemented.

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