A large-aperture interventional magnetic resonance imaging system

Abstract

This invention discloses a large-aperture interventional magnetic resonance imaging (MRI) system, belonging to the field of imaging system technology. It includes a self-test module, an operation module, an imaging module, a guidance module, an early warning module, and an evaluation module. Before operation, the self-test module acquires multiple parameters of the MRI system, establishes operating coefficients using formulas, and determines whether the MRI system can support surgery based on the comparison between the operating coefficients and a first threshold. The operating coefficients are then sent to the early warning module. This invention's pre-use self-test effectively ensures the stability of the system during operation. Furthermore, during surgery, it acquires the operating coefficients of the MRI system in real time and determines whether an early warning signal needs to be issued based on the comparison between the operating coefficients and a second threshold. When an early warning signal is issued, timely management is implemented, effectively reducing surgical risks.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of imaging systems, in particular to a large aperture interventional magnetic resonance imaging system. BACKGROUND

[0002] The magnetic resonance imaging system is a medical imaging diagnostic device that uses a strong magnetic field and the magnetic resonance phenomenon produced by radio waves to obtain images of the internal structure of the human body in a non-invasive manner, and the MRI system is usually composed of a magnet, a radio transmitter and receiver, a computer, etc.

[0003] Large aperture intervention refers to performing interventional surgery through a large diameter surgical channel, and traditional interventional surgery requires imaging techniques such as X-ray and CT to guide the surgery, but the resolution of these imaging techniques is limited and cannot provide sufficient accuracy, and at the same time, it will also produce radiation to the patient, which has certain risks, compared with the large aperture interventional magnetic resonance imaging system, which can provide high-resolution real-time imaging guidance, making the operation more accurate and safe.

[0004] The prior art has the following disadvantages: the existing magnetic resonance imaging system only issues an alarm prompt when the magnetic resonance imaging system fails during use, and there is no self-checking function before use and no prediction of the running state of the magnetic resonance imaging system during use, so if the magnetic resonance imaging system fails suddenly during surgery, it will increase the risk of surgery, therefore, there is an urgent need for a large aperture interventional magnetic resonance imaging system to solve the above problems. SUMMARY

[0005] The purpose of the present application is to provide a large aperture interventional magnetic resonance imaging system to solve the problems in the background art.

[0006] In order to achieve the above purpose, the present application provides the following technical scheme: a large aperture interventional magnetic resonance imaging system, comprising a self-checking module, an operation module, an imaging module, a guiding module, a warning module and an evaluation module.

[0007] The self-checking module: before the magnetic resonance imaging system runs, a plurality of parameters of the magnetic resonance imaging system are obtained, a running coefficient is established by a formula, and whether the magnetic resonance imaging system can support the surgery is judged according to the comparison result of the running coefficient and the first threshold value, the running coefficient is sent to the warning module, and the judgment result is sent to the operation module.

[0008] The operation module: if the judgment result is to support the surgery, the patient is located on the operation module, and the part of the patient operated is adjusted to be aligned with the magnetic resonance imaging instrument of the operation module.

[0009] The imaging module: according to the need of the surgery, the corresponding imaging sequence and parameters are set, the part to be operated is imaged, and the imaging information is sent to the guiding module and the evaluation module.

[0010] Guiding module: guiding doctors to perform large aperture interventional surgery through real-time imaging;

[0011] Warning module: during the surgery, judging whether to send a warning signal according to the comparison result of the operation coefficient and the second threshold value, and timely management when the warning signal is sent;

[0012] Evaluation module: after the surgery is completed, imaging again through the imaging module, and the evaluation module evaluates the surgery effect and whether there is a surgery complication.

[0013] In a preferred embodiment, the self-checking module includes an acquisition unit, a calculation unit, and a first judging unit. The acquisition unit acquires multiple parameters of the magnetic resonance imaging system. The calculation unit calculates the operation coefficient through a formula based on the multiple parameters. The first judging unit compares the operation coefficient with a first threshold value, and judges whether the magnetic resonance imaging system can support the surgery based on the comparison result.

[0014] In a preferred embodiment, the acquisition unit acquires the expansion and contraction coefficient of the magnet of the magnetic resonance imaging machine, mechanical vibration, current fluctuation amplitude, and system maintenance rate.

[0015] The calculation unit calculates the operation coefficient through a formula based on the expansion and contraction coefficient of the magnet of the magnetic resonance imaging machine, mechanical vibration, current fluctuation amplitude, and system maintenance rate. The expression is:

[0016] In the formula, is the operation coefficient, is the system maintenance rate, is the expansion and contraction coefficient of the magnet of the magnetic resonance imaging machine, is the mechanical vibration, is the current fluctuation amplitude, are the proportional coefficients of the system maintenance rate, the expansion and contraction coefficient of the magnet of the magnetic resonance imaging machine, mechanical vibration, and current fluctuation amplitude, respectively, and .

[0017] In a preferred embodiment, the first judging unit compares the operation coefficient with a first threshold value . If the operation coefficient is less than the first threshold value , it is judged that the magnetic resonance imaging system can support the surgery. If the operation coefficient is greater than the first threshold value , it is judged that the magnetic resonance imaging system cannot support the surgery.

[0018] In a preferred embodiment, the expansion and contraction coefficient of the magnet of the magnetic resonance imaging machine The acquisition logic is as follows: the expansion and contraction coefficient of the magnet in the magnetic resonance imaging machine. Based on the operating state of the magnet, obtained through the expression: ; Calculate the coefficient of thermal expansion and contraction of the magnet in a magnetic resonance imaging (MRI) machine. , This represents the real-time volume change of the magnet. This refers to the period during which the magnet expands. This refers to the period during which the magnet contracts.

[0019] In a preferred embodiment, the current fluctuation amplitude The acquisition logic is as follows: Mark the current range for stable operation of the magnetic resonance imaging machine as... The real-time monitored current is marked as ,when At that time, the amplitude of current fluctuation ;when At that time, the amplitude of current fluctuation .

[0020] In a preferred embodiment, the system maintenance rate The acquisition logic is as follows: it is obtained by dividing the total number of maintenance operations in the history of the magnetic resonance imaging system by the total historical runtime of the magnetic resonance imaging system, as expressed in the following expression: In the formula, This represents the total number of maintenance cycles performed on the magnetic resonance imaging system throughout its history. The total historical runtime of the magnetic resonance imaging system; the mechanical vibration Real-time monitoring is performed using a vibration monitoring system.

[0021] In a preferred embodiment, the early warning module includes a second judgment unit and a signal unit, wherein the second judgment unit acquires the operating coefficients of the magnetic resonance imaging system in real time. , will run coefficient With the second threshold For comparison, the second threshold If the operating coefficient Second threshold The second judgment unit determines that the magnetic resonance imaging system is operating stably and does not generate a warning signal. Operating coefficient Second threshold The second judgment unit determines that the magnetic resonance imaging system is unstable and generates a warning signal. The signal unit issues an alarm and sends the warning signal to the remote management center.

[0022] In a preferred embodiment, the imaging module includes a parameter setting unit, a scanning unit, an adjustment unit, and a marking unit. The parameter setting unit sets the imaging parameters, the scanning unit performs imaging scanning to generate an image, the adjustment unit adjusts the image contrast and brightness parameters as needed, and the marking unit marks the area to be operated on to determine the surgical target location and surgical channel.

[0023] In a preferred embodiment, the evaluation module includes an analysis unit and a storage unit. The analysis unit is used to set imaging parameters and return the imaging parameters to the imaging module. The imaging module re-images the operation site according to the adjusted imaging parameters. The analysis unit generates an analysis report by comparing the imaging results before and after the operation. The storage unit records and stores the imaging data before and after the operation.

[0024] The technical effects and advantages provided by the present invention in the above technical solution are as follows:

[0025] 1. This invention acquires multiple parameters of the magnetic resonance imaging system through a self-test module, establishes operating coefficients through formulas, and determines whether the magnetic resonance imaging system can support surgery based on the comparison result of the operating coefficients and a first threshold. The system performs a self-test before use, effectively ensuring the stability of the system during operation. Furthermore, during surgery, the operating coefficients of the magnetic resonance imaging system are acquired in real time, and the comparison result of the operating coefficients and a second threshold is used to determine whether a warning signal needs to be issued. When a warning signal is issued, timely management is carried out to effectively reduce surgical risks.

[0026] 2. This invention acquires the expansion and contraction coefficient, mechanical vibration, current fluctuation amplitude, and system maintenance rate of the magnetic resonance imaging (MRI) machine's magnet through an acquisition unit. The calculation unit calculates the operating coefficient using formulas based on these parameters. This comprehensive analysis of multiple parameters effectively improves data processing efficiency. Furthermore, the first judgment unit determines the operating coefficient based on this data. With the first threshold The results are compared to determine whether the magnetic resonance imaging system can support the surgery, thus effectively ensuring the safety of the surgery;

[0027] 3. This invention obtains the operating coefficients of the magnetic resonance imaging system in real time through the second judgment unit. ,like Operating coefficient Second threshold The second judgment unit determines that the magnetic resonance imaging system is operating unstable and generates a warning signal. The signal unit issues an alarm and sends the warning signal to the remote management center. After receiving the warning signal, the remote management center promptly obtains the status of all magnetic resonance imaging systems in the hospital and provides the surgeon with the nearest idle system with the lowest operating coefficient. Second threshold The magnetic resonance imaging system is positioned, and after the doctor receives the positioning information, the patient is transferred to the magnetic resonance imaging system to continue the operation, so that the safety of the operation is effectively guaranteed. BRIEF DESCRIPTION OF DRAWINGS

[0028] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments will be briefly introduced. Obviously, the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art based on these drawings.

[0029] Figure 1 The system module diagram of the present application. DETAILED DESCRIPTION

[0030] In order to make the purpose, technical scheme and advantages of the embodiments of the present application more clear, the technical scheme in the embodiments of the present application will be clearly and completely described below in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are some of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0031] In order to make the purpose, technical scheme and advantages of the embodiments of the present application more clear, the technical scheme in the embodiments of the present application will be clearly and completely described below in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are some of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application. Embodiment 1

[0032] Please refer to Figure 1 As shown in the figure, the large-aperture interventional magnetic resonance imaging system described in the embodiment comprises a self-checking module, an operation module, an imaging module, a guiding module, a warning module and an evaluation module.

[0033] Among them:

[0034] Before the magnetic resonance imaging system runs, the self-checking module acquires a plurality of parameters of the magnetic resonance imaging system, establishes a running coefficient through a formula, judges whether the magnetic resonance imaging system can support the surgery to proceed according to a comparison result of the running coefficient and a first threshold value, if the magnetic resonance imaging system supports the surgery to proceed, the patient is located on an operation module of the magnetic resonance imaging system, the body position is adjusted so that the part needing operation is aligned with a magnetic resonance imager of the operation module, corresponding imaging sequences and parameters are set according to the surgery needs, imaging is performed on the part needing operation, such as T1 weighted imaging, T2 weighted imaging, enhanced scanning and the like, the guiding module guides the doctor to perform the large aperture interventional surgery through real-time imaging of the imaging module, the doctor controls the movement track and operation depth of the surgical instrument by observing the imaging picture, precise operation is realized, the pre-warning module acquires the running coefficient of the magnetic resonance imaging system in real time during the surgery, and judges whether a pre-warning signal needs to be sent according to a comparison result of the running coefficient and a second threshold value, when the pre-warning signal is sent, timely management is performed, after the surgery is completed, imaging is performed again through the imaging module, and the surgery effect and whether there is a surgery complication are evaluated by the evaluation module.

[0035] The application acquires a plurality of parameters of the magnetic resonance imaging system through the self-checking module, establishes a running coefficient through a formula, judges whether the magnetic resonance imaging system can support the surgery to proceed according to a comparison result of the running coefficient and a first threshold value, the system is self-checked before use, the stability during system running is effectively guaranteed, and the running coefficient of the magnetic resonance imaging system is acquired in real time during the surgery, whether a pre-warning signal needs to be sent is judged according to a comparison result of the running coefficient and a second threshold value, when the pre-warning signal is sent, timely management is performed, and the surgery risk is effectively reduced. Embodiment 2

[0036] Before the magnetic resonance imaging system runs, the self-checking module acquires a plurality of parameters of the magnetic resonance imaging system, establishes a running coefficient through a formula, judges whether the magnetic resonance imaging system can support the surgery to proceed according to a comparison result of the running coefficient and a first threshold value;

[0037] The self-checking module comprises an acquisition unit, a calculation unit and a first judging unit, the acquisition unit acquires a plurality of parameters of the magnetic resonance imaging system, the calculation unit calculates a running coefficient through a formula, and the first judging unit compares the running coefficient with a first threshold value and judges whether the magnetic resonance imaging system can support the surgery to proceed according to a comparison result.

[0038] The acquisition unit acquires the expansion and contraction coefficient of the magnet of the magnetic resonance imaging machine, mechanical vibration, current fluctuation amplitude and system maintenance rate;

[0039] The calculation unit calculates the running coefficient through a formula according to the expansion and contraction coefficient of the magnet of the magnetic resonance imaging machine, mechanical vibration, current fluctuation amplitude and system maintenance rate, and the expression is:

[0040] In the formula, is the running coefficient, is the system maintenance rate, is the expansion and contraction coefficient of the magnet of the magnetic resonance imaging machine, is the mechanical vibration, is the current fluctuation amplitude, are the proportional coefficients of the system maintenance rate, the expansion and contraction coefficient of the magnet of the magnetic resonance imaging machine, the mechanical vibration, and the current fluctuation amplitude, respectively, and The acquisition logic of the system maintenance rate is to divide the total number of historical maintenance times of the magnetic resonance imaging system by the total historical running time of the magnetic resonance imaging system, and the expression is: ; in the formula, is the total number of historical maintenance times of the magnetic resonance imaging system, is the total historical running time of the magnetic resonance imaging system. The acquisition logic of the expansion and contraction coefficient of the magnet of the magnetic resonance imaging machine is that the expansion and contraction coefficient of the magnet of the magnetic resonance imaging machine is obtained according to the running state of the magnet, through the expression: ; the expansion and contraction coefficient of the magnet of the magnetic resonance imaging machine , is the real-time volume change amount of the magnet, is the expansion period of the magnet, is the contraction period of the magnet, when the magnet expands or contracts during operation, it will cause the magnetic field to be unstable, and when the magnetic field is unstable, it may cause the image quality to decrease or the system to completely fail to work.

[0041] The mechanical vibration is monitored in real time by a vibration monitoring system, which is composed of an acceleration sensor, a signal amplifier, a data collector, and vibration analysis software. The acceleration sensor is responsible for converting the vibration of each component of the magnetic resonance imaging machine into an electrical signal, the signal amplifier amplifies the electrical signal output by the sensor, the data collector collects the amplified signal, and the vibration analysis software processes and analyzes the collected data, outputs the frequency, amplitude, and other parameters of the vibration signal. Through the vibration monitoring system, the vibration state of each component of the magnetic resonance imaging machine, including the main magnet, the gradient coil, the radio frequency coil, and the cooling system, can be monitored in real time.

[0042] The current fluctuation amplitude is obtained by marking the current range of stable operation of the magnetic resonance imaging machine as , marking the real-time monitored current as , when , the current fluctuation amplitude ; when , the current fluctuation amplitude , the current fluctuation amplitude The greater, the more unstable the operation of the magnetic resonance imaging machine.

[0043] The first judging unit compares the operation coefficient with a first threshold value. The first threshold value is a value that is determined according to the operation of the magnetic resonance imaging system. If the operation coefficient is greater than the first threshold value, it is determined that the magnetic resonance imaging system can support the operation of the surgery. If the operation coefficient is less than the first threshold value, it is determined that the magnetic resonance imaging system cannot support the operation of the surgery.

[0044] The present application collects the expansion coefficient, mechanical vibration, current fluctuation amplitude and system maintenance rate of the magnet of the magnetic resonance imaging machine through the collecting unit, calculates the operation coefficient of the magnet of the magnetic resonance imaging machine through the formula by the calculating unit, comprehensively analyzes multiple parameters, effectively improves the processing efficiency of data, and determines whether the magnetic resonance imaging system can support the operation of the surgery according to the comparison result of the operation coefficient and the first threshold value through the first judging unit, effectively ensures the safety of the surgery. Embodiment 3

[0045] The imaging module sets corresponding imaging sequences and parameters, and images the part to be operated, such as T1 weighted imaging, T2 weighted imaging, enhanced scanning, etc. The imaging module includes a parameter setting unit, a scanning unit, an adjusting unit and a marking unit. The parameter setting unit sets the imaging parameters, including the scanning sequence, the scanning mode, the scanning time, the pulse sequence, etc. The scanning unit performs imaging scanning to generate images, including T1 weighted imaging, T2 weighted imaging, enhanced scanning, etc. The adjusting unit adjusts the image contrast, brightness and other parameters as needed to better display the part to be operated. The marking unit marks the part to be operated, determines the target position and the operation channel of the surgery, and records the operation plan. The operation plan is used for operation, such as sampling and removing diseased tissues.

[0046] T1 weighted imaging is an imaging method in magnetic resonance imaging, which produces image contrast based on the difference in T1 relaxation time of tissues. T1 relaxation time refers to the time of spontaneous dephasing after nuclear magnetic resonance is disturbed. Different types of tissues have different T1 relaxation times, so in T1 weighted imaging, these tissues show different signal intensity and contrast. T1 weighted imaging is widely used in medical imaging for detecting and diagnosing many diseases, such as stroke, cancer, bone diseases, etc.

[0047] ​​​​​T2-weighted imaging is a type of magnetic resonance imaging that produces image contrast based on the differences in T2 relaxation times of tissues, which is the time it takes for the phase to spontaneously decay after the nuclear magnetic resonance is disturbed. Different types of tissues have different T2 relaxation times, so in T2-weighted imaging, these tissues exhibit different signal intensities and contrasts. T2-weighted imaging is widely used in medical imaging to detect and diagnose many diseases, such as stroke, cancer, and bone diseases. Compared to T1-weighted imaging, T2-weighted imaging is more sensitive to liquids such as cerebrospinal fluid, blood, and edematous tissues.

[0048] Enhanced scanning is a magnetic resonance imaging technique that enhances the contrast of magnetic resonance images by intravenously injecting a gadolinium saline solution (GBCA), making organs and lesion sites more clearly visible. When GBCA flows in the blood, it is enriched in abnormal tissues such as abnormal blood vessels, tumors, and infections, resulting in high signal intensity areas on the magnetic resonance image. Enhanced scanning can provide doctors with more information about lesions, allowing for more accurate diagnosis of diseases, guidance for treatment and surgery.

[0049] The guiding module guides the doctor to perform a large-bore interventional procedure in real time through the imaging module. The doctor observes the imaging screen to control the movement trajectory and operation depth of the surgical instrument, achieving precise operation.

[0050] The guiding module includes a processing unit and a display unit. The processing unit processes and reconstructs the imaging data, and the display unit generates high-resolution, high-contrast three-dimensional real-time images. The doctor observes the imaging screen to determine the movement trajectory and operation depth of the surgical instrument and performs precise operation. During the procedure, the processing unit repeatedly images as needed to ensure the accuracy and safety of the surgical operation. Embodiment 4

[0051] The warning module obtains the operating coefficient of the magnetic resonance imaging system in real time during the procedure and determines whether a warning signal needs to be sent based on the comparison result of the operating coefficient and the second threshold value. When the warning signal is sent, timely management is performed. After the procedure is completed, the imaging module is imaged again, and the evaluation module evaluates the surgical effect and whether there are surgical complications.

[0052] The warning module obtains the operating coefficient of the magnetic resonance imaging system in real time during the procedure and determines whether a warning signal needs to be sent based on the comparison result of the operating coefficient and the second threshold value. When the warning signal is sent, timely management is performed. Wherein; the warning module includes a second judgment unit and a signal unit, the second judgment unit obtains the operating coefficient of the magnetic resonance imaging system in real time , compares the operating coefficient with the second threshold value , and the second threshold value , the second judging unit judges that the operation coefficient second threshold value , the second judging unit judges that the operation coefficient operation coefficient second threshold value , the second judging unit judges that the operation coefficient second threshold value , the second judging unit judges that the operation coefficient

[0053] After the operation is completed, the imaging module is imaged again, and the evaluation module evaluates the operation effect and whether there is an operation complication; wherein, the evaluation module includes an analysis unit and a storage unit, after the operation is completed, the doctor sets the imaging parameters to the analysis unit, the imaging parameters include changing the scanning range, changing the scanning layer thickness, changing the repetition time and echo time, etc., the analysis unit sends the secondary imaging signal to the imaging module, the imaging module reimages the operation part according to the adjusted imaging parameters, the analysis unit evaluates the operation effect by comparing the imaging results before and after the operation, and generates an analysis report after judging whether there is an operation complication, the doctor manages the patient according to the analysis report, for the patient with good operation effect, the doctor can choose to remove the patient, for the patient with operation complication, the doctor needs to take necessary treatment measures in time, the storage unit records and stores the imaging data before and after the operation, so as to facilitate the follow-up tracking and analysis, at the same time, the process of the operation also needs to be recorded, so as to facilitate the subsequent medical research and teaching.

[0054] The above formulas are all de-dimensioned to calculate the numerical value, the formula is obtained by software simulation of a large number of data to obtain the most real situation, and the preset parameters in the formula are set by the person skilled in the art according to the actual situation.

[0055] The above-described embodiments can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented by software, the above-described embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions described in the embodiments of the present application are wholly or partially generated. The computer can be a general-purpose computer, a computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transferred from one computer-readable storage medium to another, for example, the computer instructions can be transferred from one website, computer, server or data center to another website, computer, server or data center through a wired or wireless (such as infrared, wireless, microwave, etc.) manner. The computer-readable storage medium can be any available medium accessible by a computer or a data storage device such as a server, data center, etc. containing one or more available medium collections. The available medium can be a magnetic medium (such as a floppy disk, a hard disk, a magnetic tape), an optical medium (such as a DVD), or a semiconductor medium. The semiconductor medium can be a solid state disk.

[0056] It should be understood that the term "and / or" herein merely describes an association relationship of associated objects, which means that there can be three relationships, for example, A and / or B can represent the following three cases: A exists alone, A and B exist together, and B exists alone, where A and B can be singular or plural. In addition, the character " / " herein generally represents an "or" relationship between the front and rear associated objects, but it can also represent an "and / or" relationship, which can be understood in the context.

[0057] In this application, "at least one" means one or more, and "multiple" means two or more. "At least one of the following" or similar expressions means any combination of these items, including any combination of single or multiple items. For example, at least one of a, b, or c can represent a, b, c, a-b, a-c, b-c, or a-b-c, where a, b, and c can be single or multiple.

[0058] It should be understood that in various embodiments of the present application, the size of the sequence number of the above-described processes does not mean the order of execution, and the execution order of the processes should be determined by their functions and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0059] Those skilled in the art can clearly understand that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized by electronic hardware or a combination of computer software and electronic hardware. Whether the functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0060] Those skilled in the art can clearly understand that, for the convenience and brevity of the description, the specific working processes of the above-described system, device and unit can refer to the corresponding processes in the foregoing method embodiments, which will not be repeated here.

[0061] In several embodiments provided in the present application, it should be understood that the disclosed system, device and method can be implemented in other ways. For example, the above-described device embodiments are only schematic, for example, the division of the units is only a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interface, device or unit, and can be electrical, mechanical or other forms.

[0062] The units described as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0063] In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically independently, or two or more units can be integrated into one unit.

[0064] If the functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the parts that contribute to the prior art or parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various media that can store program codes.

[0065] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical scope disclosed in the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A large-bore interventional magnetic resonance imaging system, characterized by: The system comprises a self-checking module, an operating module, an imaging module, a guiding module, a pre-warning module and an evaluation module. The self-checking module acquires multiple parameters of the MRI system before operation, establishes a running coefficient through a formula, and judges whether the MRI system can support the surgery according to the comparison result of the running coefficient and a first threshold value. The running coefficient is sent to the pre-warning module, and the judgment result is sent to the operating module. The operating module adjusts the part of the patient to be operated to be aligned with the MRI instrument of the operating module if the judgment result is that the MRI system can support the surgery. The imaging module sets corresponding imaging sequences and parameters according to the needs of the surgery, and images the part to be operated. The imaging information is sent to the guiding module and the evaluation module. The guiding module guides the doctor to perform the large-bore interventional surgery through real-time imaging. The pre-warning module judges whether a pre-warning signal needs to be sent according to the comparison result of the running coefficient and a second threshold value during the surgery, and manages in time when the pre-warning signal is sent. The evaluation module evaluates the surgery effect and whether there is a surgery complication after the surgery is completed through the imaging module again. The self-checking module comprises a collection unit, a calculation unit and a first judging unit. The collection unit collects multiple parameters of the MRI system. The calculation unit calculates a running coefficient through a formula. The first judging unit compares the running coefficient with a first threshold value, and judges whether the MRI system can support the surgery according to the comparison result. The collection unit collects the expansion and contraction coefficient of the MRI magnet, mechanical vibration, current fluctuation amplitude and system maintenance rate. The calculation unit calculates the running coefficient through a formula according to the expansion and contraction coefficient of the MRI magnet, mechanical vibration, current fluctuation amplitude and system maintenance rate. The expression is as follows: wherein, is the operating factor, is the system maintenance rate, is the expansion coefficient of the magnet of the magnetic resonance imaging machine, is the mechanical vibration, is the current fluctuation amplitude, are the proportional coefficients of the system maintenance rate, the expansion coefficient of the magnet of the magnetic resonance imaging machine, the mechanical vibration, and the current fluctuation amplitude, respectively, and .

2. A large-bore interventional magnetic resonance imaging system according to claim 1, characterized by: The first judging unit compares the running coefficient with a first threshold value , if the running coefficient is greater than the first threshold value , it is judged that the magnetic resonance imaging system can support the surgery, and if the running coefficient is less than the first threshold value , it is judged that the magnetic resonance imaging system cannot support the surgery.

3. A large-bore interventional magnetic resonance imaging system as claimed in claim 2, characterized in that: The swelling coefficient of the magnetic resonance imaging machine magnet The acquisition logic is: the swelling coefficient of the magnetic resonance imaging machine magnet According to the running state of the magnet, the swelling coefficient of the magnetic resonance imaging machine magnet is calculated through the expression: The real-time volume change amount of the magnet, The time period of magnet expansion, The time period of magnet contraction.​​ 4. A large-bore interventional magnetic resonance imaging system as claimed in claim 3, characterized in that: The current fluctuation amplitude The acquisition logic is to mark the current range of stable operation of the magnetic resonance imaging machine as , and mark the real-time monitored current as When , the current fluctuation amplitude ; when , the current fluctuation amplitude .

5. A large-bore interventional magnetic resonance imaging system as claimed in claim 4, characterized in that: The system maintenance rate The acquisition logic is: by the history of all maintenance times of the magnetic resonance imaging system is divided by the history of the total running time of the magnetic resonance imaging system, the expression is: ; In the formula, The history of all maintenance times of the magnetic resonance imaging system, The history of the total running time of the magnetic resonance imaging system; The mechanical vibration Real-time monitoring is performed by the vibration monitoring system.

6. A large-bore interventional magnetic resonance imaging system as defined in claim 2, characterized in that: The pre-warning module comprises a second judging unit and a signal unit The running coefficient is compared with a second threshold value The second threshold value is determined according to the running coefficient The second threshold value The second judging unit judges that the running state of the magnetic resonance imaging system is stable if the running coefficient is less than the second threshold value The second judging unit judges that the running state of the magnetic resonance imaging system is unstable if the running coefficient is greater than the second threshold value The second judging unit generates a pre-warning signal if the running state of the magnetic resonance imaging system is unstable, the signal unit sends an alarm and sends the pre-warning signal to a remote management center.

7. A large-bore interventional magnetic resonance imaging system according to any one of claims 1-6, characterized by: The imaging module comprises a parameter setting unit, a scanning unit, an adjusting unit and a marking unit. The parameter setting unit sets imaging parameters. The scanning unit performs imaging scanning to generate images. The adjusting unit adjusts the image contrast and brightness parameters according to needs. The marking unit marks the part to be operated to determine the target position and the surgery channel.

8. A large-bore interventional magnetic resonance imaging system as claimed in claim 7, characterized in that: The evaluation module comprises an analysis unit and a storage unit. The analysis unit sets imaging parameters and returns the imaging parameters to the imaging module. The imaging module reimages the operating part according to the adjusted imaging parameters. The analysis unit generates an analysis report by comparing the imaging results before and after the surgery. The storage unit records and stores the imaging data before and after the surgery.

Images