Monitoring method and system of magnetic resonance imaging system and magnetic resonance imaging system

Abstract

The embodiment of the invention discloses a monitoring method and system of a magnetic resonance imaging system and the magnetic resonance imaging system. The method comprises the following steps: acquiring monitoring data of at least one monitoring object in the MRI system; the monitoring data of the at least one monitoring object are converted into wireless communication protocol data, and the wireless communication protocol data are sent to a cloud server, so that the cloud server can send the wireless communication protocol data to the at least one monitoring object for each monitoring object in the at least one monitoring object; and tracking a change trend of the monitoring data of the object, pre-judging a possible abnormal condition, and sending early warning information to a user when the possible abnormal condition is judged. According to the technical scheme provided by the embodiment of the invention, potential problems of the MRI system can be known in time, and unnecessary loss is avoided.

Description

Technical Field

[0001] This invention relates to the field of magnetic resonance imaging (MRI) technology, and in particular to a monitoring method, system, and magnetic resonance imaging system for a magnetic resonance imaging system. Background Technology

[0002] An MRI system uses the magnetic field generated by a magnet to obtain information about molecular structure and the internal structure of the human body through the nuclear magnetic resonance phenomenon.

[0003] Currently, MRI system monitoring data is transmitted via the hospital network to a dedicated service server, which is monitored by designated personnel. If a problem occurs with the MRI system, such as abnormal cooling water, compressor shutdown, or excessively high superconducting magnet temperature, the service server staff manually contact the user via a service hotline to resolve the issue. However, if a problem occurs after get off work hours or during holidays, users are often unable to be notified promptly to take preventative measures to avoid worsening the situation, leaving them with no choice but to accept the problem and the resulting significant losses. Furthermore, since the service server is typically deployed on an external network, there is a risk that patient information stored on the hospital network may be leaked to the external network during the transmission of MRI system monitoring data, thus compromising patient safety.

[0004] Therefore, those skilled in the art are also working to find solutions to other problems with magnetic resonance imaging systems. Summary of the Invention

[0005] In view of this, this application proposes a monitoring method for a magnetic resonance imaging system, a monitoring system for a magnetic resonance imaging system, and a magnetic resonance imaging system, so as to promptly identify potential problems of the MRI system and avoid unnecessary losses.

[0006] The present application proposes a monitoring method for a magnetic resonance imaging system, comprising: acquiring monitoring data of at least one monitored object in the MRI system; converting the monitoring data of the at least one monitored object into wireless communication protocol data, and sending the wireless communication protocol data to a cloud server, so that the cloud server tracks the changing trend of the monitoring data of each of the at least one monitored object and predicts possible abnormal situations, and sends corresponding warning information to the user when it determines that a possible abnormal situation may occur.

[0007] In one embodiment, the at least one monitored object includes at least one or any combination of the following objects: cooling system, compressor, magnet, coil, system power supply.

[0008] In one embodiment, acquiring monitoring data of at least one monitored object in the MRI system is performed by a data transmission module acquiring monitoring data of at least one monitored object in the MRI system via the system bus.

[0009] In one embodiment, the data transmission module is a 4G data transmission unit (DTU) module or a WIFI module.

[0010] In one embodiment, the data transmission module is located in an equipment room isolated from the scanning room of the MRI system.

[0011] In one embodiment, the step of tracking the changing trend of the monitoring data of each of the at least one monitored object and predicting possible abnormal situations includes at least one or any combination of the following: determining whether the temperature of the cooling water in the cooling system exceeds a first warning threshold; determining whether the flow rate of the compressor drops to a second warning threshold; determining whether the magnet is at risk of failure; determining whether the temperature of the coil rises to exceed a third warning threshold; and determining whether the system power supply is under-voltage or over-voltage based on preset under-voltage and over-voltage thresholds.

[0012] In one implementation, sending the corresponding warning information to the user includes sending warning information indicating the corresponding abnormal situation to the user via SMS, telephone, WeChat, or other applications or mini-programs.

[0013] In one embodiment, the method further includes: the cloud server receiving a user's viewing request, and presenting the monitoring data of each monitored object in the MRI system to the user according to the viewing request.

[0014] This application proposes a monitoring system for a magnetic resonance imaging system, comprising: a data transmission module for acquiring monitoring data of at least one monitored object in the MRI system, converting the monitoring data of the at least one monitored object into wireless communication protocol data, and sending the wireless communication protocol data to a cloud server; and a cloud server for tracking the changing trend of the monitoring data of each of the at least one monitored object and predicting possible abnormal situations, and sending corresponding warning information to the user when a possible abnormal situation is detected.

[0015] In one embodiment, the data transmission module is located in a device room isolated from the scanning room of the MRI system.

[0016] In one embodiment, the cloud server includes: a data receiving module, a data processing module, an early warning module, and a user interface module; wherein, the data receiving module is used to receive monitoring data of at least one monitored object in the MRI system from the data transmission module, and provides the monitoring data to the data processing module after parsing the monitoring data; the data processing module is used to track the changing trend of the monitoring data of each of the at least one monitored object and predict possible abnormal problems, and when an abnormal situation is determined to occur, provide early warning information indicating the corresponding abnormal situation to the early warning module; the early warning module is used to send the early warning information to the user according to a pre-set communication method; the user interface module is used to receive viewing information from the user, and present the monitoring data of each monitored object in the MRI system from the data receiving module to the user according to the viewing information.

[0017] The magnetic resonance imaging system proposed in this application includes: a monitoring system for the magnetic resonance imaging system described above.

[0018] As can be seen from the above solutions, the technical solution in this application embodiment sends the monitoring data of at least one monitored object in the MRI system to the cloud server, and the cloud server tracks the changing trend of the monitoring data, and predicts the possible abnormalities of the MRI system based on the changing trend. When it is determined that an abnormality may occur, an early warning message is automatically sent to the user, so that the user can be aware of possible abnormalities in a timely manner and take corresponding actions.

[0019] Furthermore, by placing the data transmission module that performs wireless data conversion and transmission in a device room far away from the MRI system scanning room, the wireless data transmission does not affect the imaging quality of the MRI system. Attached Figure Description

[0020] The preferred embodiments of this application will now be described in detail with reference to the accompanying drawings, so that those skilled in the art can more clearly understand the above and other features and advantages of this application, in which:

[0021] Figure 1 This is an exemplary flowchart of a magnetic resonance imaging system monitoring method in an embodiment of this application.

[0022] Figure 2 This is an exemplary structural diagram of the monitoring system of the magnetic resonance imaging system in the embodiments of this application.

[0023] The reference numerals in the attached figures are as follows:

[0024] label meaning S11~S13 step 21 Data transmission module 22 cloud server 221 Data receiving module 222 Data processing module 223 Early warning module 224 User Interface Module 231、232、233、234 Monitoring objects in MRI systems Detailed Implementation

[0025] In this embodiment, to obtain timely information about the MRI system, monitoring data for multiple objects within the MRI system is transmitted to the cloud, enabling remote monitoring of the MRI system. For example, in one instance, a data transmission unit (DTU), such as a 4G DTU, can convert the MRI system's monitoring data from CAN bus format to Message Queuing Telemetry Transport (MQTT) format before sending it to a cloud server. The cloud server can then monitor key parameters of the MRI system, track their trends, predict potential problems based on these trends, and send warning messages to the user when an anomaly is detected.

[0026] To provide a clearer understanding of the purpose, technical solution, and effects of this application, the specific embodiments of this application are now described with reference to the accompanying drawings. In the drawings, the same reference numerals indicate components with the same or similar structures but the same function.

[0027] In this document, “exemplary” and “illustrative” mean “serving as an example, illustration or description”, and any illustration or implementation described herein as “exemplary” or “illustrative” should not be construed as a more preferred or more advantageous technical solution.

[0028] To keep the drawings simple, each drawing only schematically shows the parts relevant to this application, and they do not represent the actual structure of the product.

[0029] In this article, "one" can mean not only "only one" but also "more than one". In this article, "first", "second", etc., are used only to distinguish them from each other, not to indicate their importance or order.

[0030] Figure 1 This is an exemplary flowchart of a magnetic resonance imaging system monitoring method in an embodiment of this application. Figure 1 As shown, the method may include the following steps:

[0031] Step S11: Obtain monitoring data of at least one monitored object in the MRI system.

[0032] In this embodiment, the monitoring data of at least one monitored object in the MRI system may include: monitoring data of the cooling system, monitoring data of the compressor, monitoring data of the magnet, monitoring data of the coil, monitoring data of the system power supply, etc.

[0033] In one example, monitoring data of at least one monitored object in the MRI system can be obtained via a system bus such as a Controller Area Network (CAN) bus. For instance, a data transmission module such as a 4G DTU module or a WIFI module can obtain monitoring data of at least one monitored object in the MRI system via the system bus. The 4G DTU module or WIFI module can be located in the equipment room of the MRI system room, which is isolated from the scanning room where the magnet system is located. Therefore, the signal for transmitting wireless data will not interfere with the magnetic field of the MRI system, and thus will not affect the imaging quality.

[0034] Step S12: Convert the monitoring data of the at least one monitored object into wireless communication protocol data, and send the wireless communication protocol data to the cloud server.

[0035] In one example, a data transmission module, such as a 4G DTU module or a WIFI module, can convert system bus format data into wireless communication protocol data, such as MQTT format data. The system bus format data can be CAN bus format data or other serial interface format data, etc.

[0036] Step S13: For each of the at least one monitored object, the cloud server tracks the changing trend of the monitoring data of the object and makes predictions on possible abnormal problems. When it is determined that an abnormal problem may occur, it sends corresponding warning information to the user.

[0037] For example, in one instance, it can be determined whether the temperature of the cooling water in the cooling system exceeds a first warning threshold; and / or, it can be determined whether the flow rate of the compressor has dropped to a second warning threshold; and / or, it can be determined whether the magnet is at risk of overvoltage; and / or, it can be determined whether the temperature of the coil has risen to exceed a third warning threshold; and / or, it can be determined whether the system power supply is undervoltage or overvoltage based on preset undervoltage and overvoltage thresholds, etc.

[0038] In one example, when a potential anomaly is detected, a warning message indicating the corresponding anomaly can be sent to the user via SMS, phone call, WeChat, or other applications (APPs) or mini-programs.

[0039] Furthermore, users can log in to the cloud server using mobile phones, laptops, etc., to view monitoring data of various objects in the MRI system anytime, anywhere, thereby monitoring the parameter status of each object. Specifically, users can log in to the cloud server through a corresponding application (APP), other mini-programs, or web pages. In other words, the cloud server can present the received monitoring data of various monitored objects in the MRI system to the user based on the user's viewing information.

[0040] Furthermore, this application also provides a monitoring system for a magnetic resonance imaging system, used to implement, for example... Figure 1 The aforementioned monitoring method for a magnetic resonance imaging system. For details not disclosed in this system embodiment, please refer to the corresponding description in the method embodiment. Figure 2 An exemplary structural diagram of a monitoring system for a magnetic resonance imaging system according to an embodiment of this application is shown. Figure 2 As shown, the monitoring system may include: a data transmission module 21 and a cloud server 22.

[0041] The data transmission module 21 is used to acquire monitoring data of at least one monitored object in the MRI system, convert the monitoring data of the at least one monitored object into wireless communication protocol data, and send the wireless communication protocol data to the cloud server.

[0042] In this embodiment, the at least one monitored object includes: a magnet system 231 and a system power supply 232 installed in the scanning room 1, and a compressor 233 and a cooling system 234 installed in the equipment room 2. In other embodiments, the at least one monitored object may also include different... Figure 2 The objects shown in the image.

[0043] In one example, the data transmission module 21 can be a 4G DTU module, and the 4G DTU module can be set in the equipment room 2 of the MRI system. Since the equipment room 2 is isolated from the scanning room 1, the signal for transmitting wireless data will not affect the imaging quality of the MRI system.

[0044] The cloud server 22 is used to track the changing trends of the monitoring data of each of the at least one monitored objects and to predict possible anomalies. When an anomaly is predicted, the cloud server 22 sends a corresponding warning to the user. Furthermore, the cloud server 22 is also used to present the monitoring data of each monitored object in the MRI system to the user based on the user's viewing information.

[0045] In one embodiment, the cloud server 22 includes a data receiving module 221, a data processing module 222, and an early warning module 223. It may also further include a user interface module 224.

[0046] The data receiving module 221 is used to receive monitoring data of at least one monitored object in the MRI system from the data transmission module 21, and to parse the monitoring data and provide it to the data processing module 222.

[0047] The data processing module 222 is used to track the changing trend of the monitoring data of each of the at least one monitoring object and predict possible abnormal problems. When it is determined that an abnormal situation may occur, it provides the early warning information indicating the corresponding abnormal situation to the early warning module 223.

[0048] The early warning module 223 is used to send the early warning information to the user according to a pre-set communication method.

[0049] User interface module 224 receives viewing information from the user and, based on this information, presents the monitoring data of each monitored object in the MRI system from data receiving module 221 to the user. Furthermore, the communication methods and related threshold information described above can also be preset by the user through user interface module 224.

[0050] This invention also provides a magnetic resonance imaging system, which may include the monitoring system described above.

[0051] In this embodiment, monitoring data of at least one monitored object in the MRI system is sent to a cloud server. The cloud server tracks the changing trends of the monitoring data and predicts potential anomalies in the MRI system based on these trends. When an anomaly is detected, a warning message is automatically sent to the user, allowing the user to anticipate possible anomalies and take appropriate action. This avoids serious problems with the MRI system and reduces system downtime at the user's site.

[0052] Furthermore, by placing the data transmission module that performs wireless data conversion and transmission in a device room far away from the MRI system scanning room, the wireless data transmission does not affect the imaging quality of the MRI system.

[0053] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A monitoring method for a magnetic resonance imaging system, characterized in that, include: Acquire monitoring data of at least one monitored object in the MRI system; The monitoring data of the at least one monitored object is converted into wireless communication protocol data and sent to the cloud server, so that the cloud server can track the changing trend of the monitoring data of each of the at least one monitored object and predict possible abnormal situations. When an abnormal situation is detected, the cloud server sends corresponding warning information to the user.

2. The monitoring method for the magnetic resonance imaging system according to claim 1, characterized in that, The at least one monitored object includes at least one or any combination of the following objects: Cooling system, compressor, magnet, coil, system power supply.

3. The monitoring method for the magnetic resonance imaging system according to claim 2, characterized in that, The acquisition of monitoring data of at least one monitored object in the MRI system is achieved by the data transmission module acquiring the monitoring data of at least one monitored object in the MRI system via the system bus.

4. The monitoring method for the magnetic resonance imaging system according to claim 3, characterized in that, The data transmission module is a 4G data transmission unit (DTU) module or a WIFI module.

5. The monitoring method for a magnetic resonance imaging system according to claim 3 or 4, characterized in that, The data transmission module is located in an equipment room isolated from the scanning room of the MRI system.

6. The monitoring method for a magnetic resonance imaging system according to claim 5, characterized in that, The step of tracking the changing trend of the monitoring data of each of the at least one monitored object and predicting possible anomalies includes at least one or any combination of the following: Determine whether the temperature of the cooling water in the cooling system exceeds the first warning threshold; Determine if the compressor flow rate has dropped to the second warning threshold; Determine if the magnet is at risk of quenching; Determine if the coil temperature has risen above the third warning threshold; The system power supply is determined to be under-voltage or over-voltage based on preset under-voltage and over-voltage thresholds.

7. The monitoring method for a magnetic resonance imaging system according to any one of claims 1 to 6, characterized in that, Sending the corresponding warning information to the user includes: Send warning messages to users via SMS, phone, WeChat, or other applications or mini-programs, indicating the corresponding abnormal situation.

8. The monitoring method for a magnetic resonance imaging system according to any one of claims 1 to 6, characterized in that, The method further includes: the cloud server receiving a user's viewing request, and presenting the monitoring data of each monitored object in the MRI system to the user according to the viewing request.

9. A monitoring system for a magnetic resonance imaging system, characterized in that, include: The data transmission module (21) is used to acquire monitoring data of at least one monitored object in the MRI system, convert the monitoring data of the at least one monitored object into wireless communication protocol data, and send the wireless communication protocol data to the cloud server. and The cloud server (22) is used to track the changing trend of the monitoring data of each of the at least one monitoring object and to predict possible abnormal situations. When it is determined that an abnormal situation may occur, it sends the corresponding warning information to the user.

10. The monitoring system for the magnetic resonance imaging system according to claim 9, characterized in that, The data transmission module (21) is located in a device room that is isolated from the scanning room of the MRI system.

11. The monitoring system for the magnetic resonance imaging system according to claim 9 or 10, characterized in that, The cloud server (22) includes: a data receiving module (221), a data processing module (222), an early warning module (223), and a user interface module (224); wherein, The data receiving module (221) is used to receive monitoring data of at least one monitored object in the MRI system from the data transmission module (21), and to parse the monitoring data and provide it to the data processing module (222). The data processing module (222) is used to track the changing trend of the monitoring data of each of the at least one monitoring object and make predictions on possible abnormal problems. When it is determined that an abnormal situation may occur, it provides the warning information indicating the corresponding abnormal situation to the warning module (223). The warning module (223) is used to send the warning information to the user according to a pre-set communication method; The user interface module (224) is used to receive viewing information from the user and, based on the viewing information, present the monitoring data of each monitored object in the MRI system from the data receiving module (221) to the user.

12. A magnetic resonance imaging system, characterized in that, include: The monitoring system for the magnetic resonance imaging system as described in any one of claims 9 to 11.

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