Reset detection method for medical imaging equipment and medical imaging system

Abstract

The present application relates to a reset detection method for medical imaging equipment, a medical imaging system, a computer device and a readable storage medium. The reset detection method for medical imaging equipment includes: acquiring an image of a medical imaging device or a component unit of a medical imaging device through an image acquisition device; extracting feature information of the image, and judging the reset state of the medical imaging device based on the feature information. The present application automatically recognizes and judges the reset state of the medical imaging device through an image recognition method, thereby avoiding the heavy workload and detection errors caused by manual detection, realizing automatic and accurate recognition of the reset state of the medical imaging device, and ensuring the quality of system quality control.

Description

Technical Field

[0001] The present application relates to the field of medical technology, and in particular to a reset detection method for medical imaging equipment and a medical imaging system. Background Art

[0002] In the medical field, medical imaging equipment is often needed to make preliminary diagnosis and scans of patients so that doctors can better understand the patient's condition and develop the best treatment plan. For example, electronic computed tomography (CT), magnetic resonance (MR), positron emission tomography (PET / CT), PET / MR and other equipment can be used for scanning. Medical imaging equipment needs to perform a system reset after completing the scan to reduce security risks. In addition, if the medical imaging device is not reset in a mobile scenario, it may bring security risks.

[0003] Traditional reset detection methods are usually visual inspections. On the one hand, this detection method will increase the burden on the operator; on the other hand, when the scanning volume is large and the workload is high, the operator is prone to make wrong judgments, resulting in failure to reset, which affects subsequent system quality control (such as air calibration and PET quality control). Summary of the invention

[0004] The present application provides a reset detection method for medical imaging equipment and a medical imaging system, which can at least simplify the burden on operators and ensure the quality of system quality control and avoid safety risks.

[0005] In a first aspect, an embodiment of the present application provides a reset detection method for a medical imaging device, comprising: acquiring an image of a medical imaging device or a partial component unit of a medical imaging device through an image acquisition device; extracting feature information of the image, and determining a reset state of the medical imaging device based on the feature information.

[0006] In some of the embodiments, acquiring an image of a medical imaging device by an image acquisition device includes: the medical imaging device includes a bed and a rack;

[0007] An image including the hospital bed and the frame is acquired through an image acquisition device.

[0008] In some embodiments, extracting characteristic information of the image and determining the reset state of the medical imaging device according to the characteristic information includes:

[0009] Extracting relative position information between the bed and the rack as the feature information according to the image of the bed;

[0010] The reset state of the medical imaging device is determined according to the relative position information.

[0011] In some embodiments, extracting characteristic information of the image and determining the reset state of the medical imaging device according to the characteristic information includes:

[0012] Extracting the horizontal position and vertical position of the bed according to the image;

[0013] The reset state of the medical imaging device is determined according to the horizontal position and the vertical position of the hospital bed.

[0014] In some embodiments, the acquiring of the image of the medical imaging device by the image acquisition device includes: the medical imaging device includes a locking device, and the locking state of the locking device is used as characteristic information to identify the reset state of the medical imaging device;

[0015] An image of the locking device is acquired by an image acquisition device.

[0016] In some embodiments, the acquiring of the image of the medical imaging device by the image acquisition device includes: an indicator light is provided on the medical imaging device, and the state of the indicator light is used as characteristic information to identify the reset state of the medical imaging device;

[0017] An image including the indicator light is acquired by an image acquisition device.

[0018] In some embodiments, the extracting the relative position information of the hospital bed and the rack as the characteristic information includes: a visual mark is provided on the hospital bed and / or the rack, and the visual mark is used to identify the position of the hospital bed;

[0019] Acquire visual sign information contained in the image;

[0020] The relative position information of the hospital bed and the rack is obtained according to the visual mark information.

[0021] In some embodiments, extracting feature information of the image includes:

[0022] Build an initial model;

[0023] Acquire an image containing the medical imaging device and feature information of the corresponding image;

[0024] Using the image and feature information of the corresponding image as a training set, training the initial model to obtain a deep learning model;

[0025] The image is input into the deep learning model to obtain feature information of the image.

[0026] In some embodiments, before acquiring the image of the medical imaging device by the image acquisition device, the method further includes:

[0027] Determining whether the medical imaging device receives a shutdown instruction;

[0028] If it is determined that the medical imaging device has received a shutdown instruction, the image acquisition device is controlled to acquire images of the medical imaging device, and the reset state of the medical imaging device is determined to give a corresponding prompt.

[0029] In some of the embodiments, before acquiring the image of the medical imaging device through the image acquisition device, the method further includes: a motion sensor is installed on the medical imaging device;

[0030] Acquiring signal parameters of the motion sensor;

[0031] determining the motion state of the medical imaging device according to the signal parameters;

[0032] If the medical imaging device is in motion, the image acquisition device is controlled to acquire images of the medical imaging device, and the reset state of the medical imaging device is determined to provide corresponding prompts.

[0033] In some embodiments, after determining the reset state of the medical imaging device according to the characteristic information, the method further includes:

[0034] If the medical imaging device is in an unreset state, the medical imaging device is controlled to issue a warning message.

[0035] In a second aspect, an embodiment of the present application provides a medical imaging system, including: a medical imaging device, configured to scan a scan object;

[0036] An image acquisition device, used to acquire images of the medical imaging device or some components of the medical imaging device;

[0037] A processor is connected to the image acquisition device and is used to extract feature information of the image and determine the reset state of the medical imaging device according to the feature information.

[0038] In some embodiments, the medical imaging device includes a bed and a rack, and the image acquisition device is further used to acquire images containing the bed and the rack.

[0039] In some embodiments, the processor is further used to: extract relative position information between the bed and the rack as the feature information based on the image of the bed, the relative position information including the horizontal position and the vertical position of the bed;

[0040] The reset state of the medical imaging device is determined according to the horizontal position and the vertical position.

[0041] In a third aspect, an embodiment of the present application provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the reset detection method for the medical imaging device as described in the first aspect above is implemented.

[0042] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the reset detection method for a medical imaging device as described in the first aspect above.

[0043] Compared with the related art, the reset detection method of medical imaging equipment, medical imaging system, computer equipment and readable storage medium provided in the embodiments of the present application obtain images of medical imaging equipment or some components of medical imaging equipment through an image acquisition device; extract feature information of the image, and judge the reset state of the medical imaging equipment according to the feature information, which solves the existing problem of manually checking the reset state of the system, realizes automatic identification of the reset state of the system, improves work efficiency and can effectively avoid safety risks.

[0044] Details of one or more embodiments of the present application are set forth in the following drawings and description to make other features, objects, and advantages of the present application more readily apparent. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0046] Figure 1 A flowchart of a reset detection method for a medical imaging device provided by an embodiment;

[0047] Figure 2 is a structural block diagram of a medical imaging system according to an embodiment;

[0048] Figure 3 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is described and illustrated below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. Based on the embodiments provided in the present application, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present application.

[0050] Obviously, the drawings described below are only some examples or embodiments of the present application. For ordinary technicians in this field, the present application can also be applied to other similar scenarios based on these drawings without creative work. In addition, it can also be understood that although the efforts made in this development process may be complicated and lengthy, for ordinary technicians in this field related to the content disclosed in this application, some changes in design, manufacturing or production based on the technical content disclosed in this application are just conventional technical means, and should not be understood as insufficient content disclosed in this application.

[0051] Reference to "embodiments" in this application means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those of ordinary skill in the art that the embodiments described in this application may be combined with other embodiments without conflict.

[0052] Unless otherwise defined, the technical terms or scientific terms involved in this application should be understood by people with ordinary skills in the technical field to which this application belongs. The words "one", "a", "a", "the" and the like involved in this application do not indicate a quantitative limitation, and may represent the singular or plural. The terms "include", "comprise", "have" and any of their variations involved in this application are intended to cover non-exclusive inclusions; for example, a process, method, system, product or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units that are not listed, or may also include other steps or units inherent to these processes, methods, products or devices. The words "connect", "connected", "coupled" and the like involved in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The "multiple" involved in this application refers to two or more. "And / or" describes the association relationship of associated objects, indicating that there may be three relationships, for example, "A and / or B" can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects before and after are in an "or" relationship. The terms "first", "second", "third", etc. involved in this application are only used to distinguish similar objects and do not represent a specific ordering of the objects.

[0053] The various technologies described in this application can be used not only for non-invasive imaging, such as diagnosis and research of diseases, but also for industrial fields, etc. The systems involved may include magnetic resonance systems (MR systems), positron emission tomography systems, CT systems, etc. The methods, devices or computer-readable storage media involved in this application can be integrated with the above-mentioned systems or relatively independent.

[0054] Positron emission tomography (PET) is a relatively advanced clinical imaging technology in the field of nuclear medicine. It is a substance that is generally necessary for biological metabolism, such as glucose, protein, nucleic acid, fatty acid, labeled with a short-lived radionuclide (such as 18F, 11C, etc.), and injected into the human body. The radionuclide releases positrons during the decay process. After traveling a few tenths of a millimeter to a few millimeters, a positron encounters an electron and annihilates, thereby generating a pair of photons with an energy of 511KeV in opposite directions. This pair of photons is captured by a highly sensitive camera and corrected by a computer for scattering and random information. After performing the same analysis and processing on different positrons, we can obtain a three-dimensional image of the aggregation situation in the body, thereby achieving the purpose of diagnosis.

[0055] A computer tomography (CT) device usually includes a frame, a scanning bed, and a control console for doctors to operate. A tube is set on one side of the frame, and a detector is set on the side opposite to the tube. The console is a computer device that controls the scan. The computer device is also used to receive the scan data collected by the detector, and process and reconstruct the data to finally form a CT image. When using CT for scanning, the patient lies on the scanning bed, and the scanning bed sends the patient into the aperture of the frame. The tube set on the frame emits X-rays, which pass through the patient and are received by the detector to form scan data, and transmit the scan data to the computer device. The computer device performs preliminary processing on the scan data and reconstructs the image to obtain a CT image.

[0056] Figure 1 A flowchart of a reset detection method for a medical imaging device provided by an embodiment is shown in FIG. Figure 1 As shown, the reset detection method of the medical imaging device includes step 110 and step 120, wherein:

[0057] Step 110: Acquire an image of the medical imaging device or a partial component unit of the medical imaging device through an image acquisition device.

[0058] The image acquisition device may be a camera, which captures images of the medical imaging device or some components of the medical imaging device. The camera may be a 2D camera or a 3D camera.

[0059] A 3D camera is a camera made with a 3D lens, usually with two or more camera lenses, the spacing between which is close to the spacing between human eyes, and can capture different images of the same scene similar to what the human eye sees. Since a 3D camera has two or more camera lenses, it can capture images with depth information, while a 2D camera (ordinary camera) is only two-dimensional and has no depth, that is, each scene is flat. This embodiment uses a 3D camera to obtain images of a medical imaging device or a component unit of a medical imaging device, so that the plane information and depth information of the medical imaging device can be collected.

[0060] Step 120: extract feature information of the image, and determine the reset state of the medical imaging device according to the feature information.

[0061] After acquiring the image of the medical imaging device, extract the feature information of the image. The feature information of the image is often determined by the problem or application type. In this application, the feature information of the image refers to the image information that can reflect the reset state of the medical imaging system. Common feature extraction methods include: Fourier transform method, window Fourier transform (Gabor), wavelet transform method, least squares method, boundary direction histogram method, texture feature extraction based on Tamura texture features, etc.

[0062] In one embodiment, the feature information of the image is extracted by a deep learning algorithm. The medical field based on AI includes computer vision technology (Computer Vision, CV), which is a science that studies how to make machines "see". To put it more concretely, it refers to the use of image acquisition devices and computers to replace human eyes to identify, track and measure targets, and further perform graphic processing so that the computer processing becomes an image that is more suitable for human eye observation or transmission to instrument detection. In this embodiment, the image acquisition device sends the image to the server, and the image is recognized by the deep learning model trained in the server to obtain the feature information of the image.

[0063] Construct an initial model; obtain images containing medical imaging equipment and feature information of corresponding images; use the images and feature information of corresponding images as training sets to train the initial model to obtain a deep learning model; input the images into the deep learning model to obtain feature information of the images.

[0064] In one embodiment, an initial model is first constructed. After the initial model is constructed, the initial model is trained. The number of training samples is not limited in this embodiment. The more training samples there are, the more robust the deep learning model obtained by training is. The training process is as follows: images containing medical imaging equipment and feature information of the corresponding images are obtained; the images and feature information of the corresponding images are used as training sets, and the initial model is trained using the training sets to obtain a deep learning model. Specifically, the images in the training set are first input into the initial model to obtain feature information of the output image. If the output feature information is inconsistent with the target feature information corresponding to the image, the parameters of the initial model are adjusted so that the feature information output by the artificial intelligence model is consistent with the target feature information. When the target feature information corresponding to the image can be obtained after any image is input, it is determined that the current initial model is a trained deep learning model. The trained deep learning model can output feature information corresponding to the image according to the input image.

[0065] It should be noted that other extraction methods may be used to extract feature information of an image, and this embodiment does not limit this.

[0066] After extracting the characteristic information of the image, the reset state of the medical imaging device is determined according to the characteristic information.

[0067] The reset detection method of the medical imaging device provided in this embodiment includes: acquiring an image of the medical imaging device or a component unit of the medical imaging device through an image acquisition device; extracting feature information of the image, and judging the reset state of the medical imaging device according to the feature information. This embodiment automatically recognizes the image of the medical imaging device through an image recognition method to judge the reset state of the medical imaging device, and does not require the operator to frequently enter and exit the scanning room to detect the reset state of the medical imaging device, thereby avoiding the heavy workload and detection errors caused by manual detection, and realizing automatic and accurate recognition of the reset state of the medical imaging device, ensuring the quality of system quality control.

[0068] In some embodiments, acquiring an image of a medical imaging device through an image acquisition device includes: the medical imaging device includes a hospital bed and a rack; and acquiring an image including the hospital bed and the rack through the image acquisition device.

[0069] In some embodiments, extracting feature information of an image and determining a reset state of a medical imaging device according to the feature information includes:

[0070] According to the image, the relative position information between the bed and the rack is extracted as feature information;

[0071] The reset state of the medical imaging device is determined according to the relative position information.

[0072] The reset state of a medical imaging device usually refers to the reset state of a hospital bed. In this embodiment, the reset state of the medical imaging device is determined according to the position of the hospital bed. Specifically, an image including a hospital bed and a rack is first acquired through an image acquisition device. In this embodiment, it is not necessary to acquire an image of the entire medical imaging device, but only an image of a partial component unit of the medical imaging device, that is, only an image including a hospital bed and a rack is acquired. After obtaining an image including a hospital bed and a rack, feature information of the image is extracted. In this embodiment, the feature information of the image specifically refers to the relative position information of the hospital bed and the rack. Based on the relative position information, the position information of the hospital bed is determined, thereby determining the reset state of the medical imaging device.

[0073] In some embodiments, extracting feature information of an image and determining a reset state of a medical imaging device according to the feature information includes:

[0074] Extracting the horizontal position and vertical position of the bed according to the image;

[0075] The reset state of the medical imaging device is determined according to the horizontal position and the vertical position of the hospital bed.

[0076] In this embodiment, the reset state of the medical imaging device is determined only based on the position information of the hospital bed itself. Specifically, if the current hospital bed is in a horizontal state and the height is at an initial position, the medical imaging device is in a reset state.

[0077] In some of the embodiments, extracting the relative position information of the hospital bed and the rack as the characteristic information includes: a visual mark is provided on the hospital bed and / or the rack, and the visual mark is used to identify the position of the hospital bed;

[0078] Obtaining visual sign information contained in the image;

[0079] According to the visual sign information, the relative position information of the bed and the frame is obtained.

[0080] In this embodiment, for example, a visual mark is set at a preset position of each bed board, and the relative position information of the bed and the frame can be obtained by obtaining the visual mark information. The visual mark can be a pattern, a letter, or a number, and the specific form is not limited. It is understandable that when judging the reset state of the medical imaging device by the visual mark information, the image acquisition device can only shoot or scan the area where the visual mark exists.

[0081] In some of the embodiments, the height information of the bed can be directly obtained through the 3D camera including the image of the bed and the frame, so that the vertical position of the bed can be judged more intuitively, thereby improving the detection efficiency.

[0082] In some embodiments, acquiring an image of a medical imaging device through an image acquisition device includes: acquiring an image of a locking device through the image acquisition device.

[0083] In this embodiment, the medical imaging device includes a locking device, and the locking state of the locking device is used as characteristic information to identify the reset state of the medical imaging device.

[0084] In this embodiment, a locking device is provided on the medical imaging device. The locking device may be, for example, a lock, a latch, a clasp or the like, and is used to lock the position of the bed when the bed is in a reset state. The locking device being in a locked state may specifically refer to the lock being closed, the rod of the latch being inserted into the nose, or the clasp being fastened. In this embodiment, there is no need to capture images of the entire medical imaging device, but only images of some components of the medical imaging device, that is, only images containing the locking device are required. After obtaining the image containing the locking device, feature information of the image is extracted. In this embodiment, the feature information of the image specifically refers to the locking state of the locking device. If the locking device is in a locked state, it is determined that the medical imaging device is in a reset state. Since this embodiment directly uses the locking state of the locking device as feature information, it is not necessary to calculate the position information of the bed, so the reset detection efficiency is higher.

[0085] In some of the embodiments, acquiring an image of a medical imaging device through an image acquisition device includes: acquiring an image including an indicator light through the image acquisition device.

[0086] In this embodiment, an indicator light is provided on the medical imaging device, and the state of the indicator light is used as characteristic information to identify the reset state of the medical imaging device.

[0087] The indicator light can be set on the rack, or on the bed or other positions of the medical imaging device. The setting position of the indicator light is not limited in this embodiment. In this embodiment, the image acquisition device is controlled to only acquire images containing the indicator light according to the setting position of the indicator light, and the reset state of the medical imaging device is judged according to the state of the indicator light. In one embodiment, the state of the indicator light can include two states: on and off. When the indicator light is off, it is judged that the medical imaging device is in a reset state; when the indicator light is on, it is judged that the medical imaging device is in a non-reset state.

[0088] In some embodiments, after determining the reset state of the medical imaging device according to the characteristic information, the method further includes:

[0089] If the medical imaging device is in an unreset state, the medical imaging device is controlled to issue a warning message.

[0090] The warning information may be a voice prompt. When the medical imaging device is detected to be in an unreset state, an audio is played, such as a prompt tone of "Please reset the device" to remind the user to reset the medical imaging device. The warning information may also be a preset alarm sound or other form of warning. This application does not limit the specific form of the warning information.

[0091] In some embodiments, before acquiring an image of the medical imaging device through the image acquisition device, the reset detection method further includes:

[0092] determining whether the medical imaging device has received a shutdown instruction;

[0093] If it is determined that the medical imaging device has received a shutdown instruction, the image acquisition device is controlled to acquire an image of the medical imaging device or a partial component unit of the medical imaging device, and a reset state of the medical imaging device is determined.

[0094] The reset detection method provided in the present application may be executed after the medical imaging device receives a shutdown command. Since the medical imaging device needs to perform a system reset to reduce safety risks only after completing the scanning work, the method provided in the present application monitors the working status of the medical imaging device in real time before performing the reset detection. When it is monitored that the medical imaging device has completed scanning and received a shutdown command, the image acquisition device is controlled to obtain an image of the medical imaging device or a partial component unit of the medical imaging device, and the feature information of the image is extracted, and the reset state of the medical imaging device is determined based on the feature information. After determining that the medical imaging device is in the reset state, the shutdown action is executed.

[0095] In some embodiments, a motion sensor is installed on the medical imaging device; before acquiring an image of the medical imaging device through the image acquisition device, the reset detection method further includes:

[0096] Get the signal parameters of the motion sensor;

[0097] Determine the motion state of medical imaging equipment based on signal parameters;

[0098] If the medical imaging device is in a moving state, the image acquisition device is controlled to acquire an image of the medical imaging device, and a reset state of the medical imaging device is determined.

[0099] When the medical imaging device is not reset in a moving scene, it may bring security risks. Therefore, the premise for executing the method provided by the present application also includes that the medical imaging device is in a moving state.

[0100] In this embodiment, a motion sensor is provided on the medical imaging device to detect the motion state of the medical imaging device. The motion sensor may include a gyroscope, through which the angular velocity of the medical imaging device in multiple axis directions is measured. The angular velocity may be referred to as a signal parameter of the motion sensor, and the motion state of the medical imaging device is determined according to the angular velocity. In one embodiment, the motion sensor may also include an accelerometer, which is used to measure the acceleration of the medical imaging device, and the motion state of the medical imaging device is determined according to the angular velocity and the acceleration. If it is determined that the medical imaging device is in a motion state, the image acquisition device is controlled to obtain an image of the medical imaging device or a partial component unit of the medical imaging device, and feature information of the image is extracted, and the reset state of the medical imaging device is determined according to the feature information.

[0101] It should be understood that although Figure 1 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, Figure 1At least part of the steps may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least part of the sub-steps or stages of other steps.

[0102] In one embodiment, Figure 2 As shown, a medical imaging system is provided, comprising: a medical imaging device 210, an image acquisition device 220 and a processor 230, wherein:

[0103] Medical imaging equipment 210, used to scan the scan object;

[0104] An image acquisition device 220 is used to acquire images of the medical imaging device 210 or some components of the medical imaging device 210;

[0105] The processor 230 is connected to the image acquisition device 220 and is used to extract feature information of the image and determine the reset state of the medical imaging device 210 according to the feature information.

[0106] The medical imaging system provided in this embodiment includes a medical imaging device 210, an image acquisition device 220 and a processor 230. The image acquisition device 210 is used to acquire an image of the medical imaging device 210 or a component unit of the medical imaging device 210; the processor 230 extracts feature information of the image, and determines the reset state of the medical imaging device 210 based on the feature information. The medical imaging system provided in this application automatically recognizes the image acquired by the image acquisition device 220 through the processor 230, and determines the reset state of the medical imaging device 210, thereby avoiding the problems of heavy workload and detection errors caused by manual detection, realizing automatic and accurate recognition of the reset state of the medical imaging device, and ensuring the quality of system quality control.

[0107] In some of these embodiments, reference Figure 2 The medical imaging device 210 includes a bed 211 and a rack 212 , and the image acquisition device 220 is also used to acquire images including the bed 211 and the rack 212 .

[0108] In some embodiments, the processor 230 is further used to: extract relative position information between the bed 211 and the rack 212 as feature information based on the image of the bed 211, where the relative position information includes a horizontal position and a vertical position of the bed;

[0109] The reset state of the medical imaging device 210 is determined according to the horizontal position and the vertical position.

[0110] In some embodiments, the medical imaging device includes a locking device, and the locking state of the locking device is used as characteristic information to identify the reset state of the medical imaging device; the image acquisition device 220 is used to obtain an image of the locking device.

[0111] In some embodiments, the medical imaging device is provided with an indicator light, and the state of the indicator light is used as characteristic information to identify the reset state of the medical imaging device; the image acquisition device 220 is used to acquire an image including the indicator light.

[0112] In some embodiments, a visual mark is provided on the bed, and the visual mark is used to identify the position of the bed; the image acquisition device 220 obtains the visual mark information contained in the image; the processor 230 obtains the relative position information of the bed 211 and the rack 212 according to the visual mark information.

[0113] In some of these embodiments, the processor 230 is further configured to: construct an initial model;

[0114] Acquire an image including the medical imaging device 210 and feature information of the corresponding image;

[0115] Using the image and feature information of the corresponding image as a training set, training the initial model to obtain a deep learning model;

[0116] The image is input into the deep learning model to obtain feature information of the image.

[0117] In some embodiments, the processor 230 is also used to determine whether the medical imaging device has received a shutdown command; if it is determined that the medical imaging device has received a shutdown command, the image acquisition device is controlled to acquire an image of the medical imaging device or a partial component unit of the medical imaging device, and determine the reset state of the medical imaging device.

[0118] In some of the embodiments, a motion sensor is installed on the medical imaging device; the processor 230 is also used to obtain signal parameters of the motion sensor; determine the motion state of the medical imaging device according to the signal parameters; if the medical imaging device is in a motion state, control the image acquisition device to obtain an image of the medical imaging device or a partial component unit of the medical imaging device, and determine the reset state of the medical imaging device.

[0119] In some of the embodiments, the medical imaging system is further provided with an alarm for controlling the medical imaging device to issue a warning message if the medical imaging device is in an unreset state.

[0120] For the specific definition of the medical imaging system, please refer to the definition of the reset detection method of the medical imaging device in the above text, which will not be repeated here. Each device in the above medical imaging system can be implemented in whole or in part by software, hardware and their combination. The above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0121] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 3 As shown. The computer device includes a processor, a memory, a network interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a reset detection method for a medical imaging device is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device housing, or an external keyboard, touchpad or mouse, etc.

[0122] Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0123] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0124] Acquiring an image of a medical imaging device or a component unit of a medical imaging device through an image acquisition device;

[0125] Extract characteristic information of the image, and determine the reset state of the medical imaging device according to the characteristic information.

[0126] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0127] Acquiring an image of a medical imaging device or a component unit of a medical imaging device through an image acquisition device;

[0128] Extract characteristic information of the image, and determine the reset state of the medical imaging device according to the characteristic information.

[0129] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in the present application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0130] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0131] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be construed as limiting the scope of the patent application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent application shall be subject to the attached claims.

Claims

1. A reset detection method for medical imaging equipment, characterized in that: The method comprises: Real-time monitoring of the working status of medical imaging equipment, wherein the medical imaging equipment includes a hospital bed and a rack; When it is monitored that the scanning of the medical imaging device is completed and it is determined that the medical imaging device has received a shutdown instruction, an image of the medical imaging device or a component unit of the medical imaging device is acquired through an image acquisition device, wherein the image acquisition device includes two 3D camera lenses, and the two 3D camera lenses are spaced apart to acquire different images of the same scene, wherein the images include plane information and depth information of the medical imaging device; Feature information of the image is extracted through a deep learning algorithm, and the reset state of the medical imaging device is determined based on the feature information, wherein the feature information of the image includes relative position information between a hospital bed and a rack, and the relative position information includes a horizontal position and a vertical position of the hospital bed.

2. The method according to claim 1, characterized in that The extracting feature information of the image comprises: Build an initial model; Acquire an image containing the medical imaging device and feature information of the corresponding image; Using the image and feature information of the corresponding image as a training set, training the initial model to obtain a deep learning model; The image is input into the deep learning model to obtain feature information of the image.

3. The method according to claim 1, characterized in that Before acquiring the image of the medical imaging device through the image acquisition device, the method further includes: a motion sensor is installed on the medical imaging device; Acquiring signal parameters of the motion sensor; determining the motion state of the medical imaging device according to the signal parameters; If the medical imaging device is in motion, the image acquisition device is controlled to acquire images of the medical imaging device or some components of the medical imaging device, and the reset state of the medical imaging device is determined.

4. The method according to claim 1, characterized in that: After determining the reset state of the medical imaging device according to the characteristic information, the method further includes: If the medical imaging device is in an unreset state, the medical imaging device is controlled to issue a warning message.

5. A medical imaging system, characterized in that: The system comprises: Medical imaging equipment, used to scan the object; An image acquisition device is used to monitor the working status of the medical imaging device in real time, wherein the medical imaging device includes a bed and a rack; when it is monitored that the scanning of the medical imaging device is completed and it is determined that the medical imaging device has received a shutdown instruction, an image of the medical imaging device or a component unit of the medical imaging device is acquired through an image acquisition device, wherein the image acquisition device includes two 3D camera lenses, and the two 3D camera lenses are spaced apart to obtain different images of the same scene, wherein the image includes plane information and depth information of the medical imaging device; A processor is connected to the image acquisition device and is used to extract feature information of the image through a deep learning algorithm, and determine the reset state of the medical imaging device according to the feature information, wherein the feature information of the image includes relative position information between a hospital bed and a rack, and the relative position information includes a horizontal position and a vertical position of the hospital bed.

6. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 4 are implemented.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 4 are implemented.

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