Medical image processing method and medical scanning control system

Abstract

The invention discloses a medical image processing method and a medical scanning control system. The processing method comprises the steps of obtaining scanning information of a target object based on a scanning sequence; wherein the scanning sequence comprises a plurality of scanning intervals, and the scanning information comprises a medical image and position information of the target object in each scanning interval; generating probability information representing the position change of the target object based on a comparison value between the initial position information and the position information corresponding to each scanning interval; and matching and associating the probability information with a corresponding medical image in the scanning sequence to obtain a target medical image. By associating the probability information of the position change of the patient with the medical image and performing associated display on the probability information and the medical image, the information density of medical image display is improved, a user can intuitively judge the abnormal condition of the medical image through the probability information, the film reading efficiency and accuracy are improved, the situation that the patient is repeatedly scanned is avoided, and the user experience is improved. And the personnel circulation of the scanning process is improved.

Description

Technical Field

[0001] The invention relates to an image processing method, in particular to a medical image processing method and a medical scanning control system. Background Art

[0002] Conventional magnetic resonance scanning is relatively slow, especially the 3D protocol (a scanning protocol). For higher-definition imaging examinations, such as brain functional imaging, the scanning time is longer. Patients (or subjects) will inevitably move during the scanning process. In the existing disclosed magnetic resonance scanning control method, a navigation sequence module that does not interfere with the imaging sequence module is added to the magnetic resonance scanning sequence, the echo signal of the target object obtained by executing the navigation sequence module is obtained, and the motion information of the target object is determined based on the echo signal.

[0003] When the patient moves, the final image will show artifacts or image blur caused by the movement, affecting the quality of the image generated by the MRI and the clinical treatment based on the MRI image. For some MRI examination sequences, it is not possible to intuitively distinguish whether the abnormal result is caused by movement or disease in the final image. For example, in spectroscopy and ASL (Arterial spin labeling) examinations, both movement and disease can cause abnormalities in spectral lines or abnormalities in ASL cerebral perfusion images. In the case of patient movement, the patient needs to repeat the scan, which wastes a lot of time and affects the patient's circulation. Summary of the invention

[0004] The technical problem to be solved by the present invention is to overcome the defect in the prior art that the association between medical image abnormalities and patient movements cannot be identified, resulting in repeated scanning of patients, and to provide a medical image processing method, system, device and medium.

[0005] The present invention solves the above technical problems through the following technical solutions:

[0006] A first aspect provides a method for processing a medical image, the method comprising:

[0007] Acquire scanning information of the target object based on the scanning sequence;

[0008] Wherein, the scanning sequence includes a plurality of scanning intervals, and the scanning information includes an initial medical image and position information of the target object in each of the scanning intervals;

[0009] Acquire initial position information of the target object;

[0010] generating probability information representing a position change of the target object based on a comparison result between the initial position information and the position information corresponding to each scanning interval;

[0011] Displaying the probability information corresponding to each scanning interval that has completed scanning; and / or,

[0012] The probability information is matched and associated with the corresponding initial medical image in the scanning sequence to obtain a target medical image and display it.

[0013] Preferably, the step of matching and associating the probability information with the corresponding initial medical image in the scanning sequence to obtain a target medical image and displaying the target medical image comprises:

[0014] Based on preset display rules, the probability information is displayed together with the corresponding medical image.

[0015] Preferably, the processing method further comprises:

[0016] Forming a corresponding probability information set based on the execution order of the scanning intervals by using the plurality of probability information;

[0017] The probability information in the probability information set that is greater than a preset threshold is marked in the corresponding initial medical image.

[0018] Preferably, the step of displaying the probability information together with the corresponding initial medical image based on a preset display rule comprises:

[0019] Displaying the probability information in the corresponding four-corner information areas of the initial medical image;

[0020] and / or,

[0021] Setting the probability information set in a preset display area of ​​each of the initial medical images, and marking each of the probability information in the probability information set;

[0022] and / or,

[0023] The target image region where the target object whose position has changed and corresponding to each probability information greater than the preset threshold is located is marked in the initial medical image.

[0024] Preferably, the processing method further comprises:

[0025] The probability information and the corresponding initial medical image are stored based on a preset storage rule.

[0026] Preferably, the step of storing the probability information and the corresponding initial medical image based on a preset storage rule comprises:

[0027] The probability information is associated with the corresponding initial medical image and stored in the same first preset storage area.

[0028] Preferably, the step of forming a corresponding probability information set from a plurality of the probability information based on the execution order of the scanning intervals comprises:

[0029] A plurality of the probability information is formed into a visual chart based on the execution order of the corresponding scanning intervals, and stored in a second preset storage area.

[0030] A second aspect provides a medical image processing system, the processing system comprising: an acquisition module, a probability generation module and a display module;

[0031] The acquisition module is used to acquire scanning information of the target object based on a scanning sequence, and is also used to acquire initial position information of the target object; wherein the scanning sequence includes a plurality of scanning intervals, and the scanning information includes an initial medical image and position information of the target object in each of the scanning intervals;

[0032] The probability generation module is used to generate probability information representing the change of the position of the target object based on the comparison result between the initial position information and the position information corresponding to each scanning interval;

[0033] The display module is used to display the probability information corresponding to each of the scan intervals that have completed the scan; and / or to match and associate the probability information with the corresponding medical image in the scan sequence to obtain a target medical image.

[0034] Preferably, the display module is further used to display the probability information together with the corresponding initial medical image based on a preset display rule.

[0035] Preferably, the processing system further comprises a processing module;

[0036] The processing module is used to form a corresponding probability information set based on the execution order of the scanning intervals by combining the plurality of probability information;

[0037] The probability information in the probability information set that is greater than a preset threshold is marked in the corresponding initial medical image.

[0038] Preferably, the processing system further comprises a display module;

[0039] A display module, used for displaying the probability information in the four corner information areas of the corresponding initial medical image;

[0040] and / or,

[0041] Setting the probability information set in a preset display area of ​​each of the initial medical images, and marking each of the probability information in the probability information set;

[0042] and / or,

[0043] The target image region corresponding to each probability information greater than the preset threshold is marked in the initial medical image.

[0044] Preferably, the processing system further comprises a storage module;

[0045] The storage module is used to store the probability information and the corresponding initial medical image based on a preset storage rule.

[0046] Preferably, the storage module is further used to associate the probability information with the corresponding initial medical image and store them in the same first preset storage area.

[0047] Preferably, the processing module is further used to form a visual chart based on the execution order of the corresponding scanning intervals for the plurality of probability information, and the display module is further used to store the visual chart in a second preset storage area.

[0048] A third aspect provides a medical scan control system, the medical scan control system comprising a memory, a processor, a computer program stored in the memory and used to run on the processor, and a display interface.

[0049] When the processor executes the computer program, the medical image processing method described above is implemented:

[0050] Acquire a scanning sequence for target object detection, wherein the scanning sequence includes a plurality of scanning intervals;

[0051] For at least one of the plurality of scanning intervals,

[0052] Applying a motion detection sequence before a current scanning interval to obtain a current motion monitoring signal of the target object;

[0053] Based on the current motion monitoring signal, generating probability information representing a position change of the target object in the current scanning interval;

[0054] Control the display interface to display the probability information.

[0055] Preferably, the display interface displays the probability information corresponding to multiple time points in sequence, and the probability information corresponding to multiple time points is displayed in the form of a scatter plot, a line graph or a bar graph.

[0056] Preferably, based on the current motion monitoring signal, a motion projection of the target object is generated, and the motion projection is a one-dimensional projection or a multi-dimensional projection of the current motion monitoring signal;

[0057] Based on the motion projection of the target object and the reference information, probability information representing a position change of the target object in the current scanning interval is generated.

[0058] In a fourth aspect, an electronic device comprises a memory, a processor and a computer program stored in the memory and used to run on the processor, wherein the processor implements the medical image processing method as described above when executing the computer program.

[0059] A fifth aspect provides a computer storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the medical image processing method as described above. Based on the common sense in the art, the above-mentioned preferred conditions can be arbitrarily combined to obtain the preferred embodiments of the present invention.

[0060] The positive and progressive effect of the present invention is that by associating the probability information of the patient's position change with the medical image, the probability information and the medical image are associated and displayed, thereby improving the information density of the medical image display, allowing users to intuitively judge the abnormality of the medical image through the probability information, improving the efficiency and accuracy of reading the film, avoiding the occurrence of repeated scanning of patients, and improving the personnel turnover of the scanning process. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 is a first flow chart of a medical image processing method according to Embodiment 1 of the present invention;

[0062] Figure 2 is a second flow chart of the medical image processing method according to embodiment 1 of the present invention;

[0063] Figure 3 It is a first schematic diagram of a probability information set chart of a medical image according to Embodiment 1 of the present invention;

[0064] Figure 4 A second schematic diagram of a probability information set chart of a medical image according to Embodiment 1 of the present invention;

[0065] Figure 5 A third schematic diagram of a probability information set chart of a medical image according to Embodiment 1 of the present invention;

[0066] Figure 6 is a fourth schematic diagram of a probability information set chart of a medical image according to Embodiment 1 of the present invention;

[0067] Figure 7 is a fifth schematic diagram of a probability information set chart of a medical image according to Embodiment 1 of the present invention;

[0068] Figure 8 is a sixth schematic diagram of a probability information set chart of a medical image according to Embodiment 1 of the present invention;

[0069] Fig. 9 A schematic diagram showing a medical image and a probability information set chart of a medical image according to Embodiment 1 of the present invention;

[0070] Fig.10 A third flow chart of the medical image processing method according to Embodiment 1 of the present invention;

[0071] Fig.11 This is a module schematic diagram of a medical image processing system according to Embodiment 2 of the present invention;

[0072] Fig.12 This is a module schematic diagram of a medical scanning control system according to Embodiment 2 of the present invention;

[0073] Fig.13 This is a schematic diagram of the hardware structure of an electronic device according to Embodiment 4 of the present invention. DETAILED DESCRIPTION

[0074] The present invention is further described below by way of examples, but the present invention is not limited to the scope of the examples.

[0075] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present invention.

[0076] In addition, the terms "first", "second", and "third" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, a feature defined as "first", "second", and "third" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0077] Example 1

[0078] This embodiment provides a method for processing medical images. Figure 1 As shown, the processing method includes:

[0079] S101, acquiring scanning information of a target object based on a scanning sequence;

[0080] Wherein, the scanning sequence includes a plurality of scanning intervals, and the scanning information includes an initial medical image and position information of the target object in each of the scanning intervals;

[0081] S102, obtaining initial position information of the target object;

[0082] S103, generating probability information representing a position change of the target object based on a comparison result between the initial position information and the position information corresponding to each scanning interval;

[0083] S1041, displaying the probability information corresponding to each scanning interval that has completed scanning;

[0084] And / or, S1042, matching and associating the probability information with the corresponding medical image in the scanning sequence to obtain a target medical image.

[0085] As an achievable method, step S1041 divides the scanning cycle into several scanning intervals based on the duration of the scanning cycle in a scanning cycle corresponding to a scanning protocol, obtains the position information of the patient in each scanning interval, and calculates the probability of the corresponding patient's position change based on the comparison result between the patient's initial position information and the patient's position information in each scanning interval, wherein the comparison result is calculated by including but not limited to the difference, percentage value, mean, median or standard deviation obtained by the difference method, percentage method, mean method, median method or standard deviation method, and determines whether the patient moves through the probability of position change. As each scanning interval is completed, the corresponding probability information is generated and displayed in real time to prompt the user of the patient's movement during the current scanning process.

[0086] As a feasible method, in the process of acquiring the image of each scanning interval and the patient's position information, even if the corresponding medical image is not displayed, if the corresponding position information represents the movement of the patient, the corresponding motion probability information will be displayed in real time during the scanning process to prompt the user of the current patient's movement status, so as to remind the patient in time and avoid adverse consequences such as artifacts in the final imaging, resulting in rescanning, etc.

[0087] As a feasible method, corresponding probability information is generated in real time for each scanning interval of the completed scan for display. When the probability information exceeds the preset threshold, a warning message is sent to the user and / or patient. The warning information includes but is not limited to light signal prompts, voice prompts or image prompts. For example, a pop-up window on the page displaying the probability information prompts that the probability information is abnormal, which is used to remind the patient to remain static. Among them, the patient's position information includes but is not limited to emitting an echo signal to the patient's area of ​​interest, or emitting a laser ranging signal. Finally, the medical image data corresponding to each scanning interval is associated with the probability of the patient's position change. When the user browses the medical image data, the probability of the patient's position change can be used to determine whether the corresponding medical image data is abnormal due to the patient's movement, thereby improving the user experience.

[0088] As an implementable manner, step S1042 includes:

[0089] Based on a preset display rule, the probability information is displayed together with the corresponding initial medical image.

[0090] In this solution, by displaying probability information together with medical images, users can intuitively understand the relationship between abnormal conditions in medical images and patient movements while reading the images. In particular, spectral and ASL examinations can distinguish between spectral line abnormalities caused by diseases and spectral line abnormalities caused by patient movements, thereby improving the accuracy and efficiency of reading images.

[0091] As a feasible approach, Figure 2 As shown, the processing method also includes:

[0092] S105, forming a corresponding probability information set based on the execution order of the scanning intervals by using the plurality of probability information;

[0093] S106: Mark the probability information in the probability information set that is greater than a preset threshold in the corresponding initial medical image.

[0094] As an achievable manner, the step of displaying the probability information together with the corresponding initial medical image based on a preset display rule includes:

[0095] Displaying the probability information in the corresponding four-corner information areas of the initial medical image;

[0096] In this solution, the probability information is displayed in the four corners of the medical image in a simple manner, thereby maintaining the neatness of the medical image and improving the information density of the medical image.

[0097] and / or,

[0098] Setting the probability information set in a preset display area of ​​each of the initial medical images, and marking each of the probability information in the probability information set;

[0099] In this scheme, the overall probability information of the corresponding scanning protocol is displayed in the medical image by means of a probability information set, so that the user can understand the overall movement of the patient during the scanning process, and provide an intuitive reference for the user to judge the correlation between the abnormality of the medical image and the patient's movement, thereby improving the user's reading efficiency.

[0100] and / or,

[0101] The target image region corresponding to each probability information greater than the preset threshold is marked in the initial medical image.

[0102] In this solution, a preset threshold is set to mark the scanning interval where the patient has a high probability of motion, and the medical image portion corresponding to the scanning interval is marked to prompt the user of the association between medical image abnormalities and patient motion, thereby improving the user's image reading efficiency.

[0103] As a feasible method, several probability information in a scanning cycle is displayed in a chart according to the generated time series, such as Figures 3 to 5 As shown, the charts include but are not limited to two-dimensional or three-dimensional charts in the form of line charts, bar charts or scatter charts. The width and height of the chart can be set to a single form that is the same for all examinations and all protocols, or the form can be adaptively adjusted dynamically. The chart can add horizontal and vertical axes and titles associated with the medical image based on actual needs.

[0104] As a feasible method, this embodiment is applied to magnetic resonance image data. Based on the scanning protocol of magnetic resonance scanning, several medical images are acquired during the scanning cycle, and the position change probability information caused by the patient movement corresponding to each scanning interval is obtained. The probability information of the position change is greater than the probability information of a preset threshold value, which represents the movement of the patient in the scanning interval, resulting in the abnormal generation of the corresponding medical image.

[0105] In one embodiment, Figure 6 In the line graph corresponding to the probability information set shown, the portion of the line segment where any endpoint is higher than the preset threshold is displayed as a line segment of a different thickness from other line segment portions to prompt the user of possible movements of the patient in the corresponding scanning interval.

[0106] In one embodiment, Figure 7In the bar chart corresponding to the probability information set shown, the part of the data column whose vertex is higher than the preset threshold is displayed with at least one of the thickness, color, fill and border different from other data columns to prompt the user of possible movement of the patient in the corresponding scanning interval.

[0107] In one embodiment, Figure 8 In the scatter plot corresponding to the probability information set shown, the part of the data points above the preset threshold is displayed in at least one of the shape, color, fill and border different from other scatter points to prompt the user of possible movement of the patient in the corresponding scanning interval.

[0108] In one embodiment, Figures 3 to 8 The horizontal axis in can represent the scanning time, scanning progress, TR (repetition time, repetition time sequence), shot (scanning) sequence or the sequence of motion monitoring points; correspondingly, the horizontal axis can be timed forward or reversely. The vertical axis represents the probability information of the position change of the patient (or subject); after setting a starting reference point, the farther the vertical deviation from the starting reference point is, the greater the probability of motion, which can be understood by those skilled in the art as being higher than the starting reference point in the vertical direction or lower than the starting reference point in the vertical direction. Correspondingly, the icon title can add the serial number and protocol name of the current corresponding scanning protocol, or any other information that can help determine the current corresponding scanning protocol; the chart title can appear anywhere on the chart, or on the window title. If the number of motion monitoring points is large, the set chart width may not be fully displayed, then a sliding bar may appear on the window to slide and display subsequent motion monitoring points. In the case of a sliding bar, the interface can support automatic sliding display, and synchronous sliding display according to the time sequence of the motion monitoring points.

[0109] In one embodiment, the chart corresponding to the probability information set is stored in the form of Dicom (Digital Imaging and Communications in Medicine) to facilitate subsequent loading and calling of the chart.

[0110] As a feasible method, the probability information of position change is directly displayed in the corresponding medical image data; specifically, the probability information can be digitally marked in the four corner information areas of the medical image data; when there are several medical images in a scanning cycle, the probability information is only marked in the medical image whose probability information exceeds the preset threshold, so that the user can intuitively and quickly judge the imaging condition of the medical image data during the reading process.

[0111] As an achievable method, if a probability information in a scanning cycle corresponds to a partial imaging area of ​​a medical image, the probability information between the corresponding scanning areas is set in a preset display area of ​​the medical image, and each probability information is associated with the corresponding imaging area in the medical image.

[0112] like Fig. 9 As shown, when a medical image area is selected, the corresponding probability information is marked in the display area; or, the area corresponding to the probability information exceeding the preset threshold is marked in the medical image. The information density in the medical image is increased to improve the user's reading efficiency and accuracy.

[0113] As a feasible approach, Fig.10 As shown, the processing method also includes:

[0114] S107: Store the probability information and the corresponding initial medical image based on a preset storage rule.

[0115] In this solution, the preset storage rules include an associated storage method based on scanning intervals, scanning protocols or probability information. By associating probability information with medical images for storage, the display effect and calling efficiency of film reading are improved, thereby improving the user's film reading experience.

[0116] As an implementable manner, step S107 includes:

[0117] The probability information is associated with the corresponding initial medical image and stored in the same first preset storage area.

[0118] As a feasible method, medical images and probability information are stored in association. Specifically, the probability information corresponding to each medical image is stored in the same storage location based on the storage location of several medical images; or, based on the scanning protocol, the medical images of the same scanning protocol and the corresponding probability information set are stored in the same storage space; or, based on the probability information, the probability information exceeding the preset threshold and the corresponding medical image are stored in the same storage space. Associative storage enables the film reading tool to simultaneously display the medical image and the corresponding probability information based on the storage location relationship, thereby increasing the displayed information density and improving the user's film reading experience.

[0119] As an implementable manner, step S104 includes:

[0120] A plurality of the probability information is formed into a visual chart based on the execution order of the corresponding scanning intervals, and stored in a second preset storage area.

[0121] As a feasible method, the probability information set of the same scanning protocol is formed into a chart and then stored in association with the medical image data in the form of Dicom. In the form of Dicom, the chart corresponding to the probability information can be applied to the reading tool of the medical image, or the chart corresponding to the probability information can be integrated into the Dicom file of the corresponding medical image to form a Dicom file, which can be applied to the reading tool corresponding to the medical image, omitting the user's reading operation and improving the user's reading experience.

[0122] The medical image processing method provided in this embodiment associates the probability information of the patient's position change with the medical image, and displays the probability information in association with the medical image, thereby improving the information density of the medical image display, allowing users to intuitively judge the abnormality of the medical image through the probability information, improving the efficiency and accuracy of reading the image, avoiding repeated scanning of the patient, and improving the personnel flow in the scanning process.

[0123] Example 2

[0124] This embodiment provides a medical image processing system 200, such as Fig.11 As shown, the processing system includes: an acquisition module 201, a probability generation module 202 and a display module 203;

[0125] The acquisition module 201 is used to acquire scanning information of the target object based on a scanning sequence, and is also used to acquire initial position information of the target object; wherein the scanning sequence includes a plurality of scanning intervals, and the scanning information includes an initial medical image and position information of the target object in each of the scanning intervals;

[0126] The probability generation module 202 is used to display the probability information corresponding to each scanning interval that has completed the scan; and / or to generate probability information representing the change of the sending position of the target object based on the comparison result between the initial position information and the position information corresponding to each scanning interval;

[0127] The display module 203 is used to match and associate the probability information with the corresponding medical image in the scanning sequence to obtain a target medical image.

[0128] As a feasible approach,

[0129] The display module 203 is further configured to display the probability information together with the corresponding initial medical image based on a preset display rule.

[0130] As an implementable manner, the processing system 200 further includes a processing module;

[0131] The processing module is used to form a corresponding probability information set based on the execution order of the scanning intervals by combining the plurality of probability information.

[0132] The probability information in the probability information set that is greater than a preset threshold is marked in the corresponding initial medical image.

[0133] As an implementable manner, the display module 203 is further used to display the probability information in the four corner information areas of the corresponding initial medical image;

[0134] and / or,

[0135] Setting the probability information set in a preset display area of ​​each of the initial medical images, and marking each of the probability information in the probability information set;

[0136] and / or,

[0137] The target image region corresponding to each probability information greater than the preset threshold is marked in the initial medical image.

[0138] As an implementable manner, the processing system further includes a storage module;

[0139] The storage module is used to store the probability information and the corresponding initial medical image based on a preset storage rule.

[0140] As an implementable manner, the storage module is further used to associate the probability information with the corresponding initial medical image and store them in the same first preset storage area.

[0141] As an implementable manner, the processing module is further used to form a visual chart based on the execution order of the corresponding scanning intervals for the plurality of probability information, and the display module is further used to store the visual chart in a second preset storage area.

[0142] It should be noted that the working principle of the medical image processing system 200 of this embodiment is the same as the working principle of the medical image processing method in Embodiment 1, and therefore will not be described in detail herein.

[0143] The medical image processing system provided in this embodiment associates the probability information of the patient's position change with the medical image, and displays the probability information in association with the medical image, thereby improving the information density of the medical image display, allowing users to intuitively judge the abnormality of the medical image through the probability information, improving the efficiency and accuracy of reading the image, avoiding the occurrence of repeated scanning of the patient, and improving the personnel flow in the scanning process.

[0144] Example 3

[0145] The embodiment of the present invention provides a medical scanning control system 300, such as Fig.12 As shown, the medical scan control system 300 includes a memory 302, a processor 301, a computer program stored in the memory 302 and used to run on the processor, and a display interface.

[0146] When the processor 301 executes the computer program, the following is achieved:

[0147] Acquire a scanning sequence for target object detection, wherein the scanning sequence includes a plurality of scanning intervals;

[0148] For at least one of the plurality of scanning intervals, applying a motion detection sequence before a current scanning interval to obtain a current motion monitoring signal of the target object;

[0149] Based on the current motion monitoring signal, generating probability information representing a position change of the target object in the current scanning interval;

[0150] Control the display interface to display the probability information.

[0151] In this solution, the probability information of position change is generated in real time in the display interface to determine whether the patient has moved. As each scanning interval is completed, the corresponding probability information is generated and displayed in real time to prompt the user of the patient's movement during the current scanning process.

[0152] As an implementable manner, the display interface sequentially displays the probability information corresponding to multiple time points, and the probability information corresponding to multiple time points is displayed in the form of a scatter plot, a line graph, or a bar graph.

[0153] In this solution, by displaying the continuously changing data of probability information in the display interface, the patient's movement trend during the current scanning process is provided so as to intervene in time.

[0154] As an implementable manner, based on the current motion monitoring signal, a motion projection of the target object is generated, wherein the motion projection is a one-dimensional projection or a multi-dimensional projection of the current motion monitoring signal;

[0155] Based on the motion projection of the target object and the reference information, probability information representing a position change of the target object in the current scanning interval is generated.

[0156] In this scheme, the measurement accuracy of probability information is improved by generating a motion projection of the target object.

[0157] The medical scanning control system provided in this embodiment provides the user with the accurate movement status of the patient during the current scanning process by generating the probability information of the position change and its trend in real time in the display interface.

[0158] Example 4

[0159] Fig.13 As shown, a schematic diagram of the structure of an electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the medical image processing method of the above-mentioned embodiment 1 when executing the computer program. Fig.13 The electronic device 30 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0160] The electronic device 30 may be in the form of a general-purpose computing device, for example, it may be a server device. The components of the electronic device 30 may include, but are not limited to: at least one processor 31, at least one memory 32, and a bus 33 connecting different system components (including the memory 32 and the processor 31).

[0161] The bus 33 includes a data bus, an address bus, and a control bus.

[0162] The memory 32 may include a volatile memory, such as a random access memory (RAM) 321 and / or a cache memory 322 , and may further include a read-only memory (ROM) 323 .

[0163] The memory 32 may also include a program / utility 325 having a set (at least one) of program modules 324, such program modules 324 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0164] The processor 31 executes various functional applications and data processing by running the computer programs stored in the memory 32, such as the medical image processing method of embodiment 1 of the present invention.

[0165] The electronic device 30 may also communicate with one or more external devices 34 (e.g., keyboards, pointing devices, etc.). Such communication may be performed via an input / output (I / O) interface 35. Furthermore, the model-generated device 30 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 36. As shown, the network adapter 36 communicates with other modules of the model-generated device 30 via a bus 33. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the model-generated device 30, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (RAID) systems, tape drives, and data backup storage systems.

[0166] It should be noted that although several units / modules or sub-units / modules of the electronic device are mentioned in the above detailed description, this division is merely exemplary and not mandatory. In fact, according to an embodiment of the present invention, the features and functions of two or more units / modules described above can be embodied in one unit / module. Conversely, the features and functions of one unit / module described above can be further divided into multiple units / modules to be embodied.

[0167] Example 5

[0168] The present invention also provides a computer-readable storage medium having a computer program stored thereon, and when the program is executed by a processor, the medical image processing method of embodiment 1 is implemented.

[0169] The readable storage medium may include but is not limited to: a portable disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, an optical storage device, a magnetic storage device or any suitable combination of the above.

[0170] In a possible implementation manner, the present invention may also be implemented in the form of a program product, which includes a program code. When the program product is run on a terminal device, the program code is used to enable the terminal device to execute the medical image processing method of embodiment 1.

[0171] Among them, the program code for executing the present invention can be written in any combination of one or more programming languages, and the program code can be executed completely on the user device, partially on the user device, as an independent software package, partially on the user device and partially on a remote device, or completely on the remote device.

[0172] Although the specific embodiments of the present invention are described above, it should be understood by those skilled in the art that this is only for illustration and the protection scope of the present invention is defined by the appended claims. Those skilled in the art may make various changes or modifications to these embodiments without departing from the principles and essence of the present invention, but these changes and modifications all fall within the protection scope of the present invention.

Claims

1. A method for processing medical images, characterized in that: The processing method comprises: Acquire scanning information of the target object based on the scanning sequence; Wherein, the scanning sequence includes a plurality of scanning intervals, and the scanning information includes an initial medical image and position information of the target object in each of the scanning intervals; Acquire initial position information of the target object; generating probability information representing a position change of the target object based on a comparison result between the initial position information and the position information corresponding to each scanning interval; Displaying the probability information corresponding to each scanning interval that has completed scanning; and / or, The probability information is matched and associated with the initial medical image corresponding to the scanning interval to obtain a target medical image and display it.

2. The method for processing medical images according to claim 1, characterized in that: The step of matching and associating the probability information with the initial medical image corresponding to the scanning interval to obtain a target medical image and displaying the target medical image comprises: Based on a preset display rule, the probability information is displayed together with the corresponding initial medical image.

3. The method for processing medical images according to claim 2, characterized in that: The processing method also includes: Forming a corresponding probability information set based on the execution order of the scanning intervals by using the plurality of probability information; The probability information in the probability information set that is greater than a preset threshold is marked in the corresponding initial medical image.

4. The method for processing medical images according to claim 3, characterized in that: The step of displaying the probability information together with the corresponding initial medical image based on a preset display rule comprises: Displaying the probability information in the corresponding four-corner information areas of the initial medical image; and / or, Setting the probability information set in a preset display area of ​​each of the initial medical images, and marking each of the probability information in the probability information set; and / or, The target image area corresponding to each probability information greater than the preset threshold is marked in the medical image.

5. The method for processing medical images according to claim 3, characterized in that: The processing method also includes: The probability information and the corresponding initial medical image are stored based on a preset storage rule.

6. The method for processing medical images according to claim 5, characterized in that: The step of storing the probability information and the corresponding initial medical image based on a preset storage rule comprises: The probability information is associated with the corresponding initial medical image and stored in the same first preset storage area.

7. The method for processing medical images according to claim 3, characterized in that: The step of forming a corresponding probability information set from the plurality of probability information based on the execution order of the scanning intervals comprises: A plurality of the probability information is formed into a visual chart based on the execution order of the corresponding scanning intervals, and stored in a second preset storage area.

8. A medical scanning control system, characterized in that: The medical scan control system includes a memory, a processor, a computer program stored in the memory and used to run on the processor, and a display interface. When the processor executes the computer program, the following is achieved: Acquire a scanning sequence for target object detection, wherein the scanning sequence includes a plurality of scanning intervals; For at least one of the plurality of scanning intervals, applying a motion detection sequence before a current scanning interval to obtain a current motion monitoring signal of the target object; Based on the current motion monitoring signal, generating probability information representing a position change of the target object in the current scanning interval; Control the display interface to display the probability information.

9. The medical scanning control system according to claim 8, characterized in that: The display interface sequentially displays the probability information corresponding to multiple time points, and the probability information corresponding to multiple time points is displayed in the form of a scatter plot, a line graph, or a bar graph.

10. The medical scanning control system according to claim 8, characterized in that: Based on the current motion monitoring signal, generating a motion projection of the target object, wherein the motion projection is a one-dimensional projection or a multi-dimensional projection of the current motion monitoring signal; Based on the motion projection of the target object and the reference information, probability information representing a position change of the target object in the current scanning interval is generated.

Images