Multimodal Medical Image Data Storage Method and System

Abstract

The present invention relates to the field of data storage, and discloses a multi-modal medical image data storage method and system, which are used to solve the problem that unstable power may cause data loss or damage when image data is stored. The method includes: acquiring image data through a variety of medical imaging devices, preprocessing the image data, using annotation, registration, and fusion technologies to integrate data of different modalities into a unified format, storing the image data integrated into the unified format in a database, and performing compression and encryption processing on the image data. When new data is added, the old image data is archived according to the usage frequency and entry time. By taking measures in advance before power problems occur, the security of image data during storage is effectively improved, and the initiative of data protection is strengthened.

Description

Technical Field

[0001] The present invention relates to the field of data storage, and more particularly to a method and system for storing multi-modal medical image data. Background Art

[0002] Multi-modal refers to multiple types and imaging modalities of medical image data, usually generated by different types of imaging devices. Each imaging device provides image data with specific characteristics through different imaging principles and technologies to display different physiological structures and tissue information of patients. The combination of these different modal images can provide more comprehensive and detailed diagnostic information.

[0003] In the modern medical environment, multi-modal image data such as CT, MRI, and ultrasound are widely used in clinical diagnosis. These data are huge in volume and have high-fidelity requirements, so the integrity and security of the storage process are crucial.

[0004] However, during the storage process, unstable power or power outages will directly threaten the security of the data, resulting in data loss or damage, and thus affecting the diagnostic accuracy. Currently, most existing storage systems rely on UPS and backup power supplies, but lack an evaluation system based on multi-parameters of power status and device status. Simply relying on power protection at the hardware layer is difficult to comprehensively identify high-risk power environments and take measures in advance before power problems occur, resulting in the passivity of data protection.

[0005] In view of the above problems, the present invention proposes a solution. Summary of the Invention

[0006] In order to overcome the above-mentioned defects of the prior art, the present invention provides a method and system for storing multi-modal medical image data to solve the problems existing in the above background art.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A method for storing multi-modal medical image data, comprising the following steps:

[0009] Step 1: Obtain image data through a variety of medical imaging devices;

[0010] Step 2: Preprocess the image data, the preprocessing including noise filtering, contrast adjustment, and spatial registration; use annotation, registration, and fusion techniques to integrate data of different modalities into a unified format;

[0011] Step 3: Store the image data integrated into a unified format in a database, and perform compression and encryption processing on the image data;

[0012] Step 4: New data is added, and the old image data is archived according to the usage frequency and the input time.

[0013] Preferably, the step of storing the image data integrated into a unified format in the database is as follows:

[0014] Obtain data security data, and obtain a data loss index according to the evaluation of the data security data. The data security data includes power stability data, the switching conditions of high-power equipment, equipment temperature data, and circuit aging data;

[0015] Judge the storage of the image data according to the data loss index;

[0016] When it is judged that the current image data can be stored, the image data is stored in the database.

[0017] Preferably, the step of obtaining data security data and obtaining a data loss index according to the evaluation of the data security data is as follows:

[0018] Obtain power stability data, and obtain a power stability coefficient according to the power stability data. The power stability data includes voltage stability data, current stability data, frequency data, total harmonic distortion, and power factor;

[0019] Obtain the switching conditions of high-power equipment, and obtain a power load change coefficient according to the switching conditions of high-power equipment;

[0020] Obtain equipment temperature data, and obtain an equipment temperature anomaly coefficient according to the equipment temperature data;

[0021] Obtain circuit aging data, and obtain a circuit aging coefficient according to the circuit aging data;

[0022] The method for obtaining the data loss index according to the power stability coefficient, the power load change coefficient, the equipment temperature anomaly coefficient, and the circuit aging coefficient is where DM represents the data loss index, PS is the power stability coefficient, CE is the power load change coefficient, AT is the equipment temperature anomaly coefficient, CA is the circuit aging coefficient, and a1, a2, a3, a4 represent the weight coefficients of the power stability coefficient, the power load change coefficient, the equipment temperature anomaly coefficient, and the circuit aging coefficient.

[0023] Preferably, the step of obtaining the power stability coefficient is as follows:

[0024] Obtain voltage data during the detection time period through a power monitoring tool, and calculate the standard deviation and the average value of the voltage during the detection time period according to the voltage data during the detection time period; calculate the voltage volatility according to the standard deviation and the average value of the voltage;

[0025] Obtain the current data within the detection time period through a power monitoring tool, and calculate the standard deviation and average value of the current within the detection time period based on the current data within the detection time period; calculate the current volatility based on the standard deviation and average value of the current;

[0026] Obtain the frequency data within the detection time period through a power monitoring tool, and calculate the standard deviation and average value of the frequency within the detection time period based on the frequency data within the detection time period; calculate the frequency volatility based on the standard deviation and average value of the frequency;

[0027] The method for obtaining the power stability coefficient based on the voltage volatility, current volatility, frequency volatility, total harmonic distortion, and power factor by obtaining the total harmonic distortion and power factor through a power monitoring tool is where PS represents the power stability coefficient, V var represents the voltage volatility, I var represents the current volatility, f var represents the frequency volatility, THD represents the total harmonic distortion, and PF represents the power factor.

[0028] Preferably, the steps for obtaining the power load change coefficient are as follows:

[0029] Set a power threshold, and record the devices with power greater than the power threshold as high-power devices;

[0030] Real-time statistics of the number of times high-power devices are switched on and off during the detection time;

[0031] Calculate the power load change coefficient based on the number of times high-power devices are switched on and off during the detection time period.

[0032] Preferably, the steps for obtaining the circuit aging coefficient are as follows:

[0033] Obtain the initial resistance value and the current resistance value, and calculate the resistance increase rate based on the initial resistance value and the current resistance value;

[0034] Obtain the time since the last circuit maintenance, and the method for obtaining the circuit aging coefficient based on the resistance increase rate and the time since the last circuit maintenance is where CA represents the circuit aging coefficient, R rt represents the resistance increase rate, T sm represents the time since the last circuit maintenance.

[0035] Preferably, the step of judging the storage of image data according to the data missing index is

[0036] Compare the data missing index with a preset threshold. If the data missing index is less than the preset threshold, it is determined that the current data missing probability is low, and it is judged that the current image data can be stored; if the data missing index is greater than or equal to the preset threshold, it is determined that the current data missing probability is high, and it is judged that the current image data cannot be stored, and risk handling is performed.

[0037] Preferably, the risk handling step is as follows:

[0038] When the data missing index is greater than or equal to the preset threshold, start the backup power supply of the data storage device, and start the automatic recovery and data protection measures. The automatic recovery and data protection measures include data caching, data backup, and I / O control.

[0039] Preferably, for a multi-modal medical image data storage system, the system includes:

[0040] An image data acquisition module, configured to acquire image data through a medical imaging device and transmit the image data to the image data preprocessing module;

[0041] An image data preprocessing module, configured to receive the image data transmitted by the image data acquisition module, preprocess the image data, and transmit the preprocessed image data to the format unification module;

[0042] A format unification module, configured to receive the preprocessed image data transmitted by the image data preprocessing module, integrate image data of different modalities into a unified format, and transmit the image data in the unified format to the data storage module;

[0043] A data storage module, configured to receive the image data in the unified format transmitted by the format unification module, store the image data in the unified format into a database, and transmit the database to the data archiving module;

[0044] A data archiving module, configured to receive the database transmitted by the data storage module and perform archiving processing on the image data in the database.

[0045] The technical effects and advantages of the present invention:

[0046] Image data is acquired through a variety of medical imaging devices, preprocessed, and different modality data is integrated into a unified format using annotation, registration, and fusion technologies. The image data integrated into the unified format is stored in a database, and the image data is compressed and encrypted. When new data is added, the old image data is archived according to the usage frequency and input time. By taking measures in advance before power problems occur, the security of image data during storage is effectively improved, and the initiative of data protection is strengthened. Description of the Drawings

[0047] Figure 1 This is the overall flowchart of the present invention.

[0048] Figure 2 This is the overall structural diagram of the present invention. Detailed implementation manners

[0049] Next, the technical solutions in the present invention will be clearly and completely described in conjunction with the accompanying drawings in the present invention. Additionally, the forms of each structure described in the following implementation manners are merely examples, and the multi-modal medical image data storage method and system related to the present invention are not limited to the structures described in the following implementation manners. All other implementation manners obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

[0050] The present invention provides a multi-modal medical image data storage method, including the following steps:

[0051] Step 1: Obtain image data through various medical imaging devices, such as CT, MRI, and X-ray, etc. The characteristics of multi-modal data are that the data formats, resolutions, and imaging methods collected by different devices are different;

[0052] Step 2: Preprocess the image data. The preprocessing includes noise filtering, contrast adjustment, and spatial registration, etc., to ensure that data of different modalities are under the same standard; Use annotation, registration, and fusion technologies to integrate data of different modalities into a unified format for subsequent unified storage and application;

[0053] In this embodiment, it should be specifically noted that the steps for preprocessing the image data are as follows:

[0054] Use Gaussian filtering to smooth the image, reduce noise, but will slightly blur the image details. Set the standard deviation parameter of the filter, select an appropriate filtering radius, apply the Gaussian filter, calculate the weighted average value around each pixel point, and generate a smoothed image;

[0055] Gaussian filtering is a filtering technology for image smoothing. It reduces noise by weighted averaging each pixel point in the image with the pixel values in its neighborhood. Gaussian filtering uses the Gaussian function as the weight distribution, making the weight of the central pixel point the largest and the weight smaller as the distance from the center increases, thereby weakening fine noise while maintaining the overall contour of the image. Gaussian filtering is widely used to remove random noise, weaken image details, and perform image preprocessing, providing a smoother visual effect for subsequent image analysis.

[0056] Adjust the gray-scale distribution of the image using histogram equalization to make it more uniform, improve the contrast, calculate the gray-scale histogram of the image to obtain the probability distribution of each gray level, calculate the cumulative distribution function, and remap the gray-scale values of the image using the cumulative distribution function. Apply the new gray-scale values to generate image data with enhanced contrast;

[0057] Histogram equalization is an image enhancement technique used to adjust the gray-scale distribution of an image to make it more uniform, thereby improving the overall contrast of the image. This method remaps the pixel gray-scale values in the original image to a new distribution range by calculating the cumulative distribution function of the image gray levels, enhancing the details in the dark and bright parts, making the image with low contrast visually clearer.

[0058] Use elastic registration to generate corresponding feature points or feature regions between the reference image and the image to be registered. Use an image-based non-rigid registration algorithm to locally adjust the image to be registered to align its morphology with the reference image. Apply the transformation field to transform the image to be registered into the spatial coordinate system of the reference image.

[0059] Elastic registration is an image alignment technique used to spatially align images with deformations or non-linear differences. Different from rigid registration, elastic registration gradually adjusts the image to be registered to the shape of the reference image through local deformation to adapt to the complex morphological differences between images, such as the natural deformation of organs or tissues. Elastic registration is usually based on the matching of feature points or feature regions and is applied to the alignment of dynamic medical images, multi-modal images, or image data at different times to ensure that images in different morphologies can still be accurately superimposed, facilitating subsequent analysis and diagnosis.

[0060] In this embodiment, it should be specifically noted that the steps of integrating data of different modalities into a unified format using annotation, registration, and fusion techniques are as follows:

[0061] Determine important anatomical structures or lesion areas in each modality image. Usually, use the same areas of images such as CT, MRI, and PET. Use image segmentation techniques or manual annotation tools to accurately outline the boundaries of the target areas in each modality image. After the annotation is completed, check the annotation consistency of each modality to ensure that the shapes and positions of the annotated areas are accurate and provide a reference for registration;

[0062] Select the modality with clear anatomical structures as the reference image, and other modality images as the images to be registered. For images with large morphological differences, perform local non-linear transformations and use overlap metrics to evaluate the alignment accuracy to ensure accurate alignment of multi-modal images;

[0063] Combine the pixel intensities of each modality and use methods such as weighted average and maximum intensity projection to fuse the image information of different modalities into a single image.

[0064] Step 3: Store the image data integrated into a unified format in a database, and perform compression and encryption processing on the image data to ensure the efficiency and security of data storage;

[0065] In this embodiment, it should be specifically noted that the steps of storing the image data integrated into a unified format in a database are as follows:

[0066] Obtain data security data, and obtain a data loss index based on the evaluation of the data security data. The data security data includes power stability data, large-power equipment switch conditions, equipment temperature data, and circuit aging data;

[0067] Judge the storage of image data according to the data loss index;

[0068] When it is judged that the image data can be stored currently, then store the image data in the database.

[0069] In this embodiment, it should be specifically noted that the steps of obtaining data security data and obtaining a data loss index based on the evaluation of the data security data are as follows:

[0070] Obtain power stability data, and obtain a power stability coefficient based on the power stability data. The power stability data includes voltage stability data, current stability data, frequency data, total harmonic distortion, and power factor;

[0071] Obtain the large-power equipment switch conditions, and obtain a power load change coefficient based on the large-power equipment switch conditions;

[0072] The method of obtaining equipment temperature data and obtaining an equipment temperature anomaly coefficient based on the equipment temperature data is where AT represents the equipment temperature anomaly coefficient, and T ct represents the real-time temperature of the current equipment, and T nl represents the reference temperature of the equipment in the normal state;

[0073] Obtain circuit aging data, and obtain a circuit aging coefficient based on the circuit aging data;

[0074] The method of obtaining a data loss index based on the power stability coefficient, power load change coefficient, equipment temperature anomaly coefficient, and circuit aging coefficient is Among them, DM represents the data missing index, and PS is the power stability coefficient. The power stability coefficient reflects the reliability of the power supply system and the stability of voltage and current. When this coefficient is relatively high, it indicates that the power grid power supply is stable, the voltage fluctuation is small, and the equipment operating environment is stable; at this time, the data writing and storage processes in the system are not easily affected by power fluctuations, the data missing index is correspondingly low, and the data security is higher. However, if the power stability coefficient decreases, it means that the power supply is unstable, the voltage or current fluctuates frequently, and the data storage process may frequently encounter interruptions, I / O errors, etc., resulting in a significant increase in the risk of data loss. Therefore, the power stability coefficient is inversely proportional to the data missing index, and can effectively evaluate the security of the storage process through the power supply state, and guide whether to enable the protection mechanism. CE is the power load change coefficient, and the power load change coefficient reflects the frequency and amplitude of load fluctuations in the power supply system. When this coefficient is relatively high, it means that equipment in the power supply network starts or stops frequently, and the load power changes sharply, resulting in an increase in the instability of the grid voltage and current. In the case of severe load fluctuations, the voltage may drop or rise instantaneously, making the storage device more likely to encounter voltage mutations, power outages, or short-term power instability during operation, resulting in data writing interruptions or storage failures, thereby increasing the data missing index. By monitoring the load change coefficient, the power grid fluctuation situation can be predicted, the potential power risks in the data storage process can be evaluated, and corresponding protective measures can be taken to reduce the risk of data loss. AT is the equipment temperature anomaly coefficient, and the equipment temperature anomaly coefficient reflects the degree to which the operating temperature of the storage device deviates from the normal range, usually affected by factors such as power instability, excessive equipment load, and insufficient heat dissipation. When the temperature anomaly coefficient increases, the internal components of the equipment (such as hard disks, CPUs, memories, etc.) will be in a high-temperature state, which is likely to cause hard disk read and write errors, accelerate the aging of storage chips, and even cause the equipment to shut down or restart automatically, resulting in data writing interruptions and data damage. In addition, long-term high temperature will have an irreversible impact on the equipment stability, increasing the potential risk of data loss. Therefore, monitoring the equipment temperature anomaly coefficient can help determine whether the system environment is suitable for data storage. When the coefficient is too high, cooling measures or data protection mechanisms should be started in a timely manner to reduce data loss caused by temperature anomalies. CA is the circuit aging coefficient, and the circuit aging coefficient reflects the degree of performance degradation of the circuit due to long-term use or insufficient maintenance, including poor contact, reduced insulation, increased line resistance, etc. As the circuit aging coefficient increases, the anti-interference ability and voltage stability of the circuit decrease, and problems such as current instability and voltage drop are likely to occur, directly affecting the power supply quality of the data storage device. When the aging circuit bears a large power load or voltage fluctuation, it may not be able to maintain normal power supply, and may even cause short circuits or power outages, resulting in data writing interruptions, data loss, or equipment damage during the storage process.Therefore, by monitoring the circuit aging coefficient, the reliability of the power system can be evaluated. When the aging coefficient is too high, measures such as maintenance or circuit replacement should be taken in a timely manner to ensure the security and continuity of data storage. a1, a2, a3, and a4 represent the weight coefficients of the power stability coefficient, the power load change coefficient, the equipment temperature anomaly coefficient, and the circuit aging coefficient, and a1 + a2 + a3 + a4 = 1. The specific values of a1, a2, a3, and a4 are determined by professionals according to the actual situation. For example, a1, a2, a3, and a4 can be 0.4, 0.3, 0.2, and 0.1.

[0075] In this embodiment, it should be specifically noted that the steps for obtaining the power stability coefficient are as follows:

[0076] Obtain voltage data within the detection time period through a power monitoring tool. The detection time period is set by professionals and can be 1 s or 10 s. Calculate the standard deviation and the average value of the voltage within the detection time period based on the voltage data; the method for obtaining the voltage volatility based on the standard deviation and the average value of the voltage is where V var represents the voltage volatility, and σ V represents the standard deviation of the voltage, represents the average value of the voltage;

[0077] Obtain current data within the detection time period through a power monitoring tool. Calculate the standard deviation and the average value of the current within the detection time period based on the current data; the method for obtaining the current volatility based on the standard deviation and the average value of the current is where I var represents the current volatility, and σ I represents the standard deviation of the current, represents the average value of the current;

[0078] Obtain frequency data within the detection time period through a power monitoring tool. Calculate the standard deviation and the average value of the frequency within the detection time period based on the frequency data; the method for obtaining the frequency volatility based on the standard deviation and the average value of the frequency is where f var represents the frequency volatility, and σ f represents the standard deviation of the frequency, represents the average value of the frequency;

[0079] Obtain the total harmonic distortion and the power factor through a power monitoring tool. The method for obtaining the power stability coefficient based on the voltage volatility, the current volatility, the frequency volatility, the total harmonic distortion, and the power factor is where PS represents the power stability coefficient, V var represents the voltage volatility, Ivar Denoted as current volatility, f var Denoted as frequency volatility, THD is denoted as total harmonic distortion, PF is denoted as power factor. Using the natural exponential function, the instability index can be "flipped" into a stability coefficient. That is, when all instability factors approach 0, the stability coefficient approaches 1, indicating that the system is very stable. If the instability factors increase, the result of the exponential function will rapidly decay, and the stability coefficient approaches 0, indicating that the system is unstable.

[0080] Total harmonic distortion is an index that measures the degree of distortion of a voltage or current waveform relative to an ideal sine wave, usually expressed as a percentage. Total harmonic distortion reflects the relative content of harmonic components (i.e., non-fundamental frequency components) in an electrical signal. A higher total harmonic distortion indicates that the waveform contains more harmonic distortion, which may affect the normal operation of power systems and equipment.

[0081] Power factor is an index that measures the ratio of active power (the power actually doing work) to apparent power (the product of voltage and current) in a power system, usually with a value range from 0 to 1. The closer the power factor is to 1, the higher the power utilization efficiency, the larger the proportion of active power, and the better the power system efficiency; conversely, a low power factor means that there is more reactive power in the system, resulting in problems such as wasted electrical energy, equipment heating, and increased transmission losses.

[0082] In this embodiment, it should be specifically noted that the steps for obtaining the power load change coefficient are as follows:

[0083] Set a power threshold, and mark the devices with power greater than the power threshold as high-power devices;

[0084] Real-time statistics of the number of times high-power devices are switched on and off during the detection time;

[0085] The method for obtaining the power load change coefficient based on the number of times high-power devices are switched on and off during the detection time period is Where CE is denoted as the power load change coefficient, N S Denoted as the number of times high-power devices are switched on and off, t j Denoted as the detection time period.

[0086] In this embodiment, it should be specifically noted that the steps for obtaining the circuit aging coefficient are as follows:

[0087] Obtain the initial resistance value and the current resistance value. The method for obtaining the resistance increase rate based on the initial resistance value and the current resistance value is Where R rt Denoted as the resistance increase rate, R ct Denoted as the current resistance value, R il Denoted as the initial resistance value;

[0088] Obtain the time since the last circuit maintenance, usually in months or years. The longer the time, the longer the circuit has been without maintenance, which may lead to problems such as aging and poor connections, resulting in unstable loads. The method for obtaining the circuit aging coefficient based on the resistance increase rate and the time since the last circuit maintenance is as follows where CA represents the circuit aging coefficient, and R rt represents the resistance increase rate, and T sm represents the time since the last circuit maintenance. Take the square root of the resistance increase rate to moderately smooth the impact of the resistance increase and avoid excessive influence of small increases on the result. Take the logarithm of the time since the last maintenance, indicating that as the maintenance time extends, the load change coefficient gradually increases. At the same time, the logarithmic function makes the increase rate of the influence of the maintenance time on the coefficient gradually decrease, avoiding the infinite increase of the load change coefficient due to too long time.

[0089] In this embodiment, it should be specifically noted that the steps for judging the storage of image data according to the data missing index are as follows:

[0090] Compare the data missing index with a preset threshold. If the data missing index is less than the preset threshold, it is determined that the current data missing probability is small, and it is judged that the image data can be stored currently; if the data missing index is greater than or equal to the preset threshold, it is determined that the current data missing probability is large, and it is judged that the image data cannot be stored currently, and risk handling is performed.

[0091] In this embodiment, it should be specifically noted that the steps for risk handling are as follows:

[0092] When the data missing index is greater than or equal to the preset threshold, start the backup power supply of the data storage device and start the automatic recovery and data protection measures. The automatic recovery and data protection measures include data caching, data backup, and I / O control, etc., to ensure minimizing data loss during power recovery.

[0093] Step 4: As new data is added, the old image data is archived according to the usage frequency, input time, etc., to ensure the storage space and access efficiency of the system.

[0094] In this embodiment, it should be specifically noted that for the multi-modal medical image data storage system, the system includes:

[0095] An image data acquisition module, used to acquire image data through a medical imaging device and transmit the image data to the image data preprocessing module;

[0096] An image data preprocessing module, used to receive the image data transmitted by the image data acquisition module, preprocess the image data to ensure that different modal data is under the same standard, and transmit the preprocessed image data to the format unification module;

[0097] A format unification module, which is used to receive the preprocessed image data transmitted by the image data preprocessing module, integrate the image data of different modalities into a unified format for subsequent unified storage and application, and transmit the image data in the unified format to the data storage module;

[0098] A data storage module, which is used to receive the image data in the unified format transmitted by the format unification module, store the image data in the unified format into the database, and transmit the database to the data archiving module;

[0099] A data archiving module, which is used to receive the database transmitted by the data storage module and perform archiving processing on the image data in the database.

[0100] Finally: The above are only the preferred embodiments of the present invention and are not used to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

[0101] The above is only the specific implementation manner 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, and all should be covered by the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claimed rights.

Claims

1. A method for storing multimodal medical image data, characterized in that: The following steps are involved: Step 1: Obtain imaging data through a variety of medical imaging devices; Step 2: Preprocess the image data, including noise filtering, contrast adjustment and spatial registration; integrate the data of different modalities into a unified format using annotation, registration and fusion techniques; Step 3: Store the image data in a unified format in a database, and compress and encrypt the image data; Step 4: New data is added, and old image data is archived according to the frequency of use and entry time; The steps of storing the image data integrated into a unified format in the database are: Acquire data security data, and obtain a data missing index based on the data security data evaluation, wherein the data security data includes power stability data, high-power equipment switching conditions, equipment temperature data, and circuit aging data; Judging the image data storage based on the data missing index; When it is determined that the image data can be stored currently, the image data is stored in the database; The steps of obtaining data security data and obtaining a data missing index based on the data security data evaluation are as follows: Acquire power stability data, and obtain a power stability coefficient according to the power stability data, wherein the power stability data includes voltage stability data, current stability data, frequency data, total harmonic distortion, and power factor; Obtain the switching status of high-power equipment, and obtain the power load change coefficient according to the switching status of the high-power equipment; Acquire device temperature data, and obtain device temperature anomaly coefficient based on the device temperature data; Acquire circuit aging data, and obtain a circuit aging coefficient according to the circuit aging data; The method for obtaining the data missing index based on the power stability coefficient, power load variation coefficient, equipment temperature anomaly coefficient, and circuit aging coefficient is as follows: Where DM is the data missing index, PS is the power stability coefficient, CE is the power load variation coefficient, AT is the equipment temperature anomaly coefficient, CA is the circuit aging coefficient, a1, a2, a3, a4 are the weight coefficients of the power stability coefficient, power load variation coefficient, equipment temperature anomaly coefficient and circuit aging coefficient; The steps for obtaining the power load variation coefficient are: Set a power threshold and record devices with power greater than the power threshold as high-power devices; Real-time statistics of the number of times high-power equipment is switched on and off during the detection time; The power load variation coefficient is calculated based on the number of times the high-power equipment is switched on and off during the detection period; The steps for obtaining the circuit aging coefficient are: Obtaining an initial resistance value and a current resistance value, and calculating a resistance increase rate according to the initial resistance value and the current resistance value; The method of obtaining the time since the last circuit maintenance and the circuit aging coefficient according to the resistance increase rate and the time since the last circuit maintenance is as follows: Where CA is the circuit aging coefficient, R rt Expressed as the resistance increase rate, T sm Indicates the time since the last circuit maintenance.

2. The multimodal medical image data storage method according to claim 1, characterized in that: The steps for obtaining the power stability coefficient are: The voltage data in the detection period is obtained through the power monitoring tool, and the standard deviation of the voltage and the average value of the voltage in the detection period are calculated based on the voltage data in the detection period; the voltage fluctuation rate is calculated based on the standard deviation of the voltage and the average value of the voltage; The current data within the detection period is obtained through the power monitoring tool, and the standard deviation of the current and the average value of the current within the detection period are calculated based on the current data within the detection period; The current fluctuation rate is calculated based on the standard deviation of the current and the average value of the current; The frequency data in the detection period is obtained through the power monitoring tool, and the standard deviation of the frequency in the detection period and the average value of the frequency are calculated according to the frequency data in the detection period; the frequency fluctuation rate is calculated according to the standard deviation of the frequency and the average value of the frequency; The total harmonic distortion and power factor are obtained through power monitoring tools. The method for obtaining the power stability coefficient based on voltage fluctuation rate, current fluctuation rate, frequency fluctuation rate, total harmonic distortion and power factor is as follows: Where PS is the power stability factor, V var Expressed as voltage fluctuation rate, I var Expressed as the current fluctuation rate, f var It is expressed as frequency fluctuation rate, THD means total harmonic distortion, and PF means power factor.

3. The multimodal medical image data storage method according to claim 1, characterized in that: The step of determining the image data storage according to the data missing index is as follows: The data missing index is compared with the preset threshold. If the data missing index is less than the preset threshold, it is determined that the current data missing probability is small, and the image data can be stored at present; if the data missing index is greater than or equal to the preset threshold, it is determined that the current data missing probability is high, and the image data cannot be stored at present, and risk processing is performed.

4. The multimodal medical image data storage method according to claim 3, characterized in that: The steps for risk management are: When the data loss index is greater than or equal to a preset threshold, the backup power supply of the data storage device is started, and automatic recovery and data protection measures are started. The automatic recovery and data protection measures include data caching, data backup and I / O control.

5. A multimodal medical image data storage system, used to implement the multimodal medical image data storage method according to any one of claims 1 to 4, characterized in that: The system comprises: An image data acquisition module, used to acquire image data through a medical imaging device and transmit the image data to an image data preprocessing module; An image data preprocessing module is used to receive the image data transmitted by the image data acquisition module, preprocess the image data, and transmit the preprocessed image data to the format unification module; The format unification module is used to receive the preprocessed image data transmitted by the image data preprocessing module, integrate the image data of different modalities into a unified format, and transmit the image data of the unified format to the data storage module; A data storage module, used for receiving the image data in a unified format transmitted by the format unification module, storing the image data in a unified format into a database, and transmitting the database to a data archiving module; The data archiving module is used to receive the database transmitted by the data storage module and archive the image data in the database.

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