Scanning method and device for medical equipment and medical equipment

Abstract

The invention relates to the technical field of medical equipment, and discloses a scanning method for medical equipment, and the method comprises the steps: obtaining a Locator scanning position based on a positioning image; obtaining a target image corresponding to the Locator scanning position based on the historical scanning data; and taking the target image as a Locator image, and carrying out a subsequent scanning process. According to the method, the existing image data are reused, so that additional Locator scanning is avoided, the radiation dose accepted by a patient can be reduced, and the scanning efficiency is improved. In addition, according to the method, by reducing the scanning frequency, the waiting time of the patient is shortened, and the use efficiency of the medical equipment is improved. The invention further discloses a scanning device for the medical equipment and the medical equipment.

Description

Technical Field

[0001] The present application relates to the technical field of medical equipment, for example, to a scanning method and apparatus for medical equipment, and medical equipment. Background Art

[0002] Currently, enhanced scanning, a form of CT (Computed Tomography) technology, uses intravenous injection of contrast agents to enhance the image of organs and lesions, making them appear clearer. However, because enhanced scanning involves additional scans, it exposes patients to increased radiation exposure.

[0003] In order to reduce the radiation dose received by patients, the relevant technology discloses a static CT imaging method in bolus mode, which uses a radiation source ring and a detector ring. The method includes: circling the position requiring bolus monitoring on the plain scan tomographic image; moving the scanning bed to the position of the tomographic layer, starting a small-dose test bolus scan, and starting timing; exposing the radiation source at a set frequency to sequentially obtain projection images of the set area using the detector ring within a set period; averaging all projection images obtained within the first second to obtain an average image, and subtracting the average image from each projection image after the first second to obtain a subtraction image; using the subtraction image to obtain the concentration change of the contrast agent in the set area to perform a CT scan.

[0004] During the implementation of the embodiments of the present disclosure, it was found that at least the following problems exist in the related art:

[0005] Although the related technology can obtain the time-concentration curve in the target blood vessel to control the radiation dose, it still requires multiple scans and is not very effective in reducing the radiation dose.

[0006] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of this application, and therefore may include information that does not constitute prior art known to ordinary technicians in this field. Summary of the Invention

[0007] In order to provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. The summary is not an extensive review, nor is it intended to identify key / critical elements or delineate the scope of protection of these embodiments, but rather serves as a prelude to the detailed description that follows.

[0008] The embodiments of the present disclosure provide a scanning method and apparatus for medical equipment, and medical equipment, to reduce the radiation dose received by a patient.

[0009] In some embodiments, a scanning method for medical equipment includes: obtaining a locator scanning position based on a positioning image; obtaining a target image corresponding to the locator scanning position based on historical scanning data; and using the target image as a locator image for subsequent scanning processes.

[0010] Optionally, the historical scanning data includes a historical scanning image sequence, and acquiring a target image corresponding to the Locater scanning position based on the historical scanning data includes: determining a target image corresponding to the Locater scanning position that meets the Locater scanning requirements according to the historical scanning image sequence.

[0011] Optionally, the historical scanning data also includes historical scanning raw data, and the historical scanning image sequence is reconstructed based on the historical scanning raw data. The method also includes: if there is no image that meets the Locater scanning requirements in the historical scanning image sequence, then based on the historical scanning raw data, reconstructing the target image corresponding to the Locater scanning position that meets the Locater scanning requirements.

[0012] Optionally, based on the historical scanning image sequence, a target image corresponding to the Locater scanning position that meets the Locater scanning requirements is determined, including: inputting the historical image sequence into a quality recognition model to obtain the target image; or, based on the Locater scanning position, obtaining an initial target image corresponding to the Locater scanning position in the historical image sequence; inputting the initial target image into the quality recognition model to obtain the target image.

[0013] Optionally, the historical scanning data includes historical scanning raw data, and acquiring a target image corresponding to the Locater scanning position based on the historical scanning raw data includes: reconstructing a target image corresponding to the Locater scanning position that meets Locater scanning requirements based on the historical scanning raw data.

[0014] Optionally, the historical scan data is acquired after the positioning image is acquired, and the patient's position remains unchanged during the acquisition of the positioning image and the historical scan data.

[0015] Optionally, the historical scanning data is acquired before acquiring the positioning image, and the method further includes: aligning the positioning image with the historical positioning image to acquire the historical Locator scanning position of the Locator scanning position in the historical positioning image, wherein the historical positioning image is contained in the historical scanning data, or acquired through maximum density projection based on the historical scanning sequence; based on the historical scanning data, acquiring a target image corresponding to the Locater scanning position, including: acquiring the target image corresponding to the Locater scanning position based on the historical Locator scanning position and the historical scanning data.

[0016] Optionally, the Locater scanning position is the position of the key point of the region of interest on the positioning image, or the Locater scanning position is the target bed code corresponding to the key point of the region of interest, wherein the historical scanning data also includes the bed code.

[0017] Optionally, the target image is used as the Locater image for subsequent scanning processes, including: displaying the target image on the main console, and when the doctor confirms, marking the contrast agent tracking position in the Locater image in response to the doctor's marking operation; or, after obtaining the doctor's confirmation information, automatically marking the contrast agent tracking position in the Locater image.

[0018] In some embodiments, the scanning device for medical equipment includes: a processor and a memory storing program instructions, and the processor is configured to execute the above-mentioned scanning method for medical equipment when running the program instructions.

[0019] In some embodiments, the medical device includes: a medical device body; and the scanning device for the medical device as described above, installed on the medical device body.

[0020] The scanning method and apparatus for medical equipment, and the medical equipment provided in the embodiments of the present disclosure can achieve the following technical effects:

[0021] In the embodiment of the present disclosure, first, the target bed code required for the Locater scan is determined based on the positioning image; then, the system retrieves the historical scan data to find the target image that matches the target bed code; then, the found target image is directly used as the Locater image, thereby skipping the traditional Locater scan step and continuing the subsequent scanning process. In the CT enhanced scanning process in the prior art, the acquisition of the Locater image is an additional scanning step. In this way, the embodiment of the present disclosure avoids additional Locater scans by reusing existing image data, which not only reduces the radiation dose received by the patient, but also improves the scanning efficiency. In addition, this method shortens the patient's waiting time and improves the efficiency of medical equipment use by reducing the number of scans. At the same time, since the steps in the scanning process are reduced, the complexity of the operation is also reduced, making the entire scanning process more concise and efficient.

[0022] The above general description and the following description are exemplary and explanatory only and are not intended to limit the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] One or more embodiments are exemplarily described by corresponding drawings. These exemplary descriptions and drawings do not limit the embodiments. Elements with the same reference numerals in the drawings are shown as similar elements. The drawings do not constitute a scale limitation. In addition,

[0024] Figure 1 is a schematic diagram of an implementation environment of a scanning method for medical equipment according to an embodiment of the present disclosure;

[0025] Figure 2 is a schematic diagram of a scanning method for a medical device provided by an embodiment of the present disclosure;

[0026] Figure 3 is a schematic diagram of another scanning method for medical equipment provided by an embodiment of the present disclosure;

[0027] Figure 4 is a schematic diagram of another scanning method for medical equipment provided by an embodiment of the present disclosure;

[0028] Figure 5 is a schematic diagram of another scanning method for medical equipment provided by an embodiment of the present disclosure;

[0029] Figure 6 is a schematic diagram of another scanning method for medical equipment provided by an embodiment of the present disclosure;

[0030] Figure 7 Schematic diagram of a scanning device for medical equipment provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0031] In order to be able to understand the features and technical content of the embodiments of the present disclosure in more detail, the implementation of the embodiments of the present disclosure is described in detail below in conjunction with the accompanying drawings. The accompanying drawings are for reference only and are not used to limit the embodiments of the present disclosure. In the following technical description, for the sake of convenience of explanation, a full understanding of the disclosed embodiments is provided through multiple details. However, one or more embodiments can still be implemented without these details. In other cases, to simplify the drawings, well-known structures and devices can be simplified for display.

[0032] The terms "first," "second," and the like in the technical solutions described in the embodiments of the present disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate to facilitate the description of the embodiments of the present disclosure herein. In addition, the terms "including," "having," and any variations thereof are intended to cover non-exclusive inclusions.

[0033] Unless otherwise stated, the term "plurality" means two or more.

[0034] In the embodiment of the present disclosure, the character " / " indicates that the preceding and following objects are in an "or" relationship. For example, A / B means: A or B.

[0035] The term "and / or" describes an association between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or A and B.

[0036] The term "correspondence" may refer to an association relationship or a binding relationship. The correspondence between A and B means that there is an association relationship or a binding relationship between A and B.

[0037] Currently, enhanced CT scanning is a key technology in medical imaging and is widely used in various clinical scenarios, such as diagnosing tumors, evaluating vascular diseases, and detecting infections and inflammation. By using a contrast agent (usually an iodine-containing contrast agent) to enhance the contrast of CT images, doctors can more clearly observe structures such as blood vessels, organs, and lesions. Enhanced scanning typically generates more data than standard CT scans, requiring more complex image reconstruction algorithms to process.

[0038] Because enhanced scanning involves additional scans, managing radiation dose to patients is particularly important. In clinical practice, physicians can often reduce radiation dose in various ways. For example, they can adjust scanning parameters, such as tube voltage, tube current, and exposure time, to achieve adequate image quality at the lowest possible radiation dose.

[0039] During implementation of the disclosed embodiments, it was discovered that before performing a Locater scan, a plain scan sequence was performed on the same site without contrast injection. In most cases, the location of the Locater scan was included in this plain scan sequence. This resulted in an additional scan, increasing the patient's radiation dose and failing to fully utilize the existing plain scan image data to optimize the scanning process. To address this increased radiation dose, the disclosed embodiments automatically determine whether the Locater scan can be skipped, thereby reducing the patient's radiation dose and improving scanning efficiency.

[0040] Figure 1 FIG. 1 is a schematic diagram of an implementation environment of a scanning method for medical equipment according to an embodiment of the present disclosure. Figure 1 As shown, the implementation environment includes a CT imaging device 10 , which may include a processor 800 , a database 101 and a main console 102 .

[0041] Database 101 stores previously scanned patient image sequences, including plain scan sequences of the same patient area without contrast injection. Processor 800 retrieves these image sequences from database 101 and selects a target image from these sequences that meets the Locater scan requirements. After receiving the doctor's confirmation at console 102, the target image serves as the Locater image for subsequent enhanced scanning.

[0042] Combine Figure 2 As shown, the embodiment of the present disclosure provides a scanning method for a medical device, comprising:

[0043] S201: The processor obtains a Locater scanning position based on the positioning image.

[0044] S202: The processor obtains a target image corresponding to the Locater scanning position based on the historical scanning data.

[0045] S203: The processor uses the target image as a Locater image and performs a subsequent scanning process.

[0046] Using the scanning method for medical equipment provided by the embodiment of the present disclosure, first, the Locater scanning position is determined based on the positioning image; then, the system will retrieve the historical scanning data to find the target image that matches the Locater scanning position; then, the found target image is directly used as the Locater image, thereby skipping the traditional Locater scanning step and continuing the subsequent scanning process. In the CT enhanced scanning process in the prior art, the acquisition of the Locater image is an additional scanning step. In this way, the embodiment of the present disclosure avoids additional Locater scans by reusing existing image data, which not only reduces the radiation dose received by the patient, but also improves the scanning efficiency. In addition, this method shortens the patient's waiting time and improves the efficiency of medical equipment use by reducing the number of scans. At the same time, since the steps in the scanning process are reduced, the complexity of the operation is also reduced, making the entire scanning process more concise and efficient.

[0047] Optionally, the historical scanning data includes a historical scanning image sequence, and acquiring a target image corresponding to the Locater scanning position based on the historical scanning data includes: determining a target image corresponding to the Locater scanning position that meets the Locater scanning requirements according to the historical scanning image sequence.

[0048] Combine Figure 3 As shown, the embodiment of the present disclosure provides another scanning method for a medical device, comprising:

[0049] S301: The processor obtains a Locater scanning position based on a positioning image.

[0050] S302: The processor determines, based on a historical scan image sequence, a target image corresponding to a Locater scanning position that meets Locater scanning requirements.

[0051] S303: The processor uses the target image as a Locater image and performs a subsequent scanning process.

[0052] In the disclosed embodiment, by analyzing historical scan image sequences, target images that match the Locater scan position and meet the Locater scan requirements are accurately identified. This can reduce unnecessary repeated scans, lower the radiation dose received by the patient, and improve scanning efficiency.

[0053] Optionally, the historical scanning data also includes historical scanning raw data, and the historical scanning image sequence is reconstructed based on the historical scanning raw data. The method also includes: if there is no image that meets the Locater scanning requirements in the historical scanning image sequence, then based on the historical scanning raw data, reconstructing the target image corresponding to the Locater scanning position that meets the Locater scanning requirements.

[0054] In the disclosed embodiment, the historical scan image sequence is first examined to find an image that matches the Locater scan location and meets the Locater scan requirements. If no suitable image exists in the historical scan image sequence, the target image that meets the conditions is reconstructed based on the specific requirements of the Locater scan using the historical scan data. The disclosed embodiment ensures that even in the absence of readily available suitable images, an image that meets the Locater scan requirements can be reconstructed, thereby avoiding additional scans, reducing the patient's radiation exposure, improving the efficiency and flexibility of the scanning process, optimizing the use of medical resources, and providing patients with safer and more efficient enhanced CT scanning services.

[0055] Optionally, the method further includes: judging whether an image in the historical scan image sequence meets the Locater scanning requirement based on the imaging field of view, the convolution kernel, and the image thickness of the target image.

[0056] In the disclosed embodiment, the target image's field of view, convolution kernel, and image thickness are evaluated. By accurately evaluating the image construction parameters, it is possible to ensure that the selected image meets the quality requirements of the Locater scan, thereby improving the diagnostic value of the final image.

[0057] The field of view (FOV) is the area covered by the X-ray detector during a CT scan. For Locater scans, ensure that the FOV covers the target anatomy. Use image processing software to read the FOV information from the image metadata and compare it to the Locater scan requirements. If the FOV is too small, you may need to adjust the scan parameters or select a different image.

[0058] A convolution kernel is a mathematical function used to process raw data during CT image reconstruction, affecting image contrast and clarity. Check the kernel type and parameters in the image metadata to ensure they are appropriate for the Locater scan. For example, for high-resolution vascular imaging, a sharpening kernel may be required.

[0059] Image thickness refers to the slice thickness of the CT image. For Locater scans, ensure that the image thickness is sufficient to clearly display the target structure. Use image processing software to read the slice thickness in the image metadata and compare it with the Locater scan requirements. If the thickness does not meet the requirements, you may need to rescan or select a different image.

[0060] The target image corresponding to the Locater scanning position that meets the Locater scanning requirements can be manually identified by the doctor based on the Locater scanning requirements, or parameter evaluation can be performed through a deep learning algorithm, which can quickly identify images that do not meet the requirements, avoid unnecessary repeated scanning, save time and resources, and improve overall efficiency.

[0061] Optionally, determining a target image corresponding to a Locater scanning position that meets Locater scanning requirements based on a historical scanning image sequence includes: inputting the historical image sequence into a quality recognition model to obtain a target image; or, based on a target bed code, obtaining an initial target image corresponding to the Locater scanning position in the historical image sequence; and inputting the initial target image into the quality recognition model to obtain a target image.

[0062] In the disclosed embodiment, a quality recognition model is used to select a target image corresponding to a Locater scan position in a historical image sequence. Specifically, a deep learning algorithm is used to find the Locater image scan position and tracking area based on the historical image sequence.

[0063] First, the image data is normalized and enhanced to achieve uniform image quality. An appropriate quality recognition model architecture, such as U-Net (U-Net), VGG (Visual Geometry Group Network), or ResNet (Residual Network), is selected, and transfer learning is used to improve model performance. Next, image features are extracted through convolutional and pooling layers, and a segmentation network is used to identify regions of interest. An appropriate loss function is defined to optimize segmentation results.

[0064] Furthermore, non-maximum suppression techniques can be used to improve detection accuracy when performing object detection using a region proposal network. Feature matching algorithms and deep metric learning are used to accurately match similar regions within image sequences. During model training, data augmentation and cross-validation are used to improve model generalization and select optimal parameters. Finally, the model output is post-processed using thresholding and morphological operations to ensure the accuracy and usability of the final results. This improves the efficiency and accuracy of enhanced CT scans while reducing radiation dose for patients.

[0065] The specific training process may include acquiring a large number of sample images that meet the Locater scanning requirements and sample images that do not meet the Locater scanning requirements, training the quality recognition model, and allowing the model to automatically determine whether the images meet the requirements. During the quality recognition model training process, judgment rules such as FOV and image thickness requirements can also be added. The quality recognition model can be targeted at specific areas, such as the heart, lungs, or abdomen. The quality recognition model can be associated with the corresponding scanning protocol or selected by the physician based on the region of interest of the enhanced scan.

[0066] Optionally, the historical scanning data includes historical scanning raw data, and acquiring a target image corresponding to the target bed code based on the historical scanning raw data includes: reconstructing a target image corresponding to the target bed code that meets the Locater scanning requirements based on the historical scanning raw data.

[0067] Combine Figure 4 As shown, the embodiment of the present disclosure provides another scanning method for a medical device, comprising:

[0068] S401: The processor obtains a Locater scanning position based on the positioning image.

[0069] S402: The processor reconstructs a target image corresponding to the Locater scanning position that meets the Locater scanning requirements based on the historical scanning data.

[0070] S403: The processor uses the target image as a Locater image and performs a subsequent scanning process.

[0071] In the disclosed embodiments, the target image is reconstructed to ensure that the reconstructed image meets the quality requirements of the Locater scan. This reduces the need for repeated scans due to parameter failures. High-quality reconstructed images can provide more diagnostic information, improving diagnostic accuracy.

[0072] Specifically, the image is reconstructed as follows:

[0073] Access and obtain raw data (original DICOM data) through the hospital information system (HIS) or picture archiving and communication system (PACS). Raw data usually refers to the original data after CT scanning without image reconstruction processing, which is stored in the DICOM format file of the scanner.

[0074] After acquiring the raw data, adjust the reconstruction parameters according to the requirements of the Locater scan, such as field of view size, convolution kernel type, image thickness, etc. Use appropriate image reconstruction algorithms, such as filtered back projection (FBP) or iterative reconstruction techniques, to reconstruct the image based on the raw data.

[0075] After obtaining the reconstructed image, image quality assessment tools such as noise level, contrast, clarity and other indicators are used to evaluate the quality of the reconstructed image.

[0076] According to the quality assessment results, the reconstruction parameters are further adjusted to ensure that the reconstructed image meets the requirements of Locater scanning.

[0077] Finally, image enhancement techniques such as histogram equalization and contrast stretching can be applied to improve the readability and diagnostic value of the reconstructed image. Necessary image corrections such as ring artifact correction and motion blur correction can be performed to improve image quality.

[0078] Optionally, the target image is used as a Locater image to perform a subsequent scanning process, including: displaying the target image to a main console, and marking the contrast agent tracking position in the Locater image under the doctor's confirmation.

[0079] In the embodiments disclosed above, in one example, the locator scanning position is the position of a key point of the region of interest on the locator image. The region of interest can be the lungs, heart, or abdomen, among others. The key point of the lungs can be the bronchial carina, the key point of the heart can be one centimeter below the bronchial carina, the key point of the abdomen can be the upper edge of the diaphragm, and the key point of the pelvis can be the upper edge of the iliac crest. The position of the key point of the region of interest identified in the locator image is the locator scanning position. Specifically, the position of the key point of the region of interest on the locator image can refer to the coordinate value within the image coordinate system. The image coordinate system can be a three-dimensional coordinate system. The locator image and images related to the locator image can be in the same image coordinate system, or the positions of the image coordinate system of the locator image and images related to the locator image can be converted to positions in the world coordinate system, and target image matching is performed in the world coordinate system. The images related to the locator image can be images acquired from historical scan data. In another example, the locator scanning position is the target bed code corresponding to the key point of the region of interest. During enhanced CT scans, the bed code corresponding to the scan data is recorded. For example, the locator image is acquired by laying out the tube at the 0° or 90° position as the scanning bed continuously advances. Therefore, each position on the locator image corresponds to a bed code. Key points in the region of interest can be identified in the locator image, and the target bed code corresponding to these key points in the region of interest can be found. Historical scan data also contains bed code information. Based on the target bed code, the target image corresponding to the locator scan position can be found or reconstructed in the historical scan data.

[0080] In the disclosed embodiments described above, historical scan data is acquired after the locator image is acquired. The patient's position remains unchanged during the acquisition of the locator image and historical scan data. The historical scan data can be the plain scan sequence mentioned in the above embodiments. This allows target image acquisition to be performed directly based on the locator scan position.

[0081] In other disclosed embodiments, the historical scan data is acquired before the positioning image is acquired. Doctors generally first obtain the basic condition of the patient based on the plain scan sequence of the patient's area of interest. When the plain scan sequence of the patient's area of interest is not sufficient to reflect the disease, an enhanced scan is required. Therefore, in this embodiment, the historical scan data acquired before the positioning image is acquired can be used. Since the position of the area of interest when the enhanced scan acquires the positioning image may be different from the previous historical scan data, it is necessary to find the historical Locator scan position corresponding to the Locator scan position in the historical scan data. Furthermore, the method also includes:

[0082] Registering the positioning image with the historical positioning image to obtain the historical Locator scanning position of the Locator scanning position in the historical positioning image, wherein the historical positioning image is included in the historical scanning data or obtained by maximum intensity projection based on the historical scanning sequence;

[0083] Acquiring a target image corresponding to the Locater scanning position based on the historical scanning data includes: acquiring a target image corresponding to the Locater scanning position based on the historical Locator scanning position and the historical scanning data.

[0084] In one example, if the Locater scan location uses a bed code, the historical Locator scan location is also a bed code.

[0085] Combine Figure 5 As shown, the embodiment of the present disclosure provides another scanning method for a medical device, comprising:

[0086] S501: The processor obtains a Locater scanning position based on the positioning image.

[0087] S502: The processor obtains a target image corresponding to the Locater scanning position based on the historical scanning data.

[0088] S503: The processor displays the target image to the main console, and under the doctor's approval, marks the contrast agent tracking position in the Locater image.

[0089] After confirming that the target image meets the Locater scanning requirements, it is used as the Locater image for subsequent enhanced CT scanning. The specific steps include: first, the target image is displayed on the main console for the physician to review; then, after the physician confirms that the image meets the requirements, the physician marks the tracking location of the contrast agent in the Locater image. This ensures the accuracy and safety of the scanning process, reduces unnecessary repeated scans, and lowers the patient's radiation dose.

[0090] Optionally, marking the contrast agent tracking position in the Locater image includes: marking the contrast agent tracking position in the Locater image in response to the doctor's marking operation; or, automatically marking the contrast agent tracking position in the Locater image after obtaining the doctor's confirmation information.

[0091] In the disclosed embodiment, after obtaining the Locater image, the system analyzes the image and identifies the regions of interest (e.g., blood vessels or lesions) where contrast agent injection is required. Using the annotation tools in the image processing software, the contrast agent tracking locations are annotated on the Locater image to ensure that subsequent scans can accurately capture these areas.

[0092] Optionally, the scanning method for medical equipment further includes: performing Locater scanning and imaging to obtain a Locater image when a target image cannot be obtained based on historical scanning data or the determined Locater image does not obtain confirmation information from a doctor.

[0093] Combine Figure 6 As shown, the embodiment of the present disclosure provides another scanning method for a medical device, comprising:

[0094] S601: The processor obtains a Locater scanning position based on the positioning image.

[0095] S602: The processor obtains a target image corresponding to the Locater scanning position based on the historical scanning data.

[0096] S603: The processor uses the target image as a Locater image.

[0097] S604: If the target image cannot be acquired based on the historical scan data or the determined locator image does not obtain the doctor's confirmation information, the processor performs locator scanning and imaging to acquire the locator image.

[0098] S605: The processor performs a subsequent scanning process.

[0099] In the embodiment of the present disclosure, without obtaining confirmation information from a doctor, Locater scanning and imaging can be performed autonomously to obtain Locater images, thereby achieving enhanced scanning.

[0100] Specifically, perform Locater scanning and imaging as follows:

[0101] First, determine the target bed code. This is the code used to locate the patient's region of interest during a CT scan. Based on clinical needs and the patient's specific condition, determine the specific scan range and location. Adjust the patient's position within the determined scan range to ensure the region of interest is within the scan field.

[0102] After contrast agent injection, Locater scanning is performed, including: selecting the appropriate scanning mode and setting the scanning parameters, including tube voltage, tube current, rotation speed, etc.

[0103] The application scope of the embodiment of the present disclosure is expanded, and the automated Locater scanning and imaging process improves the scanning efficiency.

[0104] Combine Figure 7As shown, an embodiment of the present disclosure provides a scanning device 70 for medical equipment, including a processor 700 and a memory 701. Optionally, the device 70 may also include a communication interface 702 and a bus 703. The processor 700, the communication interface 702, and the memory 701 may communicate with each other via the bus 703. The communication interface 702 may be used for information transmission. The processor 700 may call the logic instructions in the memory 701 to execute the scanning method for medical equipment of the above embodiment.

[0105] In addition, the logic instructions in the memory 701 can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product.

[0106] Memory 701, as a computer-readable storage medium, can be used to store software programs and computer-executable programs, such as program instructions / modules corresponding to the methods in the embodiments of the present disclosure. Processor 700 executes the program instructions / modules stored in memory 701 to perform functional applications and data processing, thereby implementing the scanning method for a medical device in the above-described embodiments.

[0107] The memory 701 may include a program storage area and a data storage area. The program storage area may store an operating system and at least one application required for a function; the data storage area may store data generated based on the use of the terminal device. Furthermore, the memory 701 may include high-speed random access memory and non-volatile memory.

[0108] The embodiments of the present disclosure provide a medical device, comprising: a medical device body, and the above-mentioned scanning device for the medical device. The scanning device for the medical device is installed on the medical device body. The installation relationship described here is not limited to placement inside the medical device body, but also includes installation connections with other components of the medical device, including but not limited to physical connections, electrical connections, or signal transmission connections. It can be understood by those skilled in the art that the scanning device for the medical device can be adapted to a feasible medical device body, thereby realizing other feasible embodiments.

[0109] The technical solutions of the embodiments of the present disclosure may be embodied in the form of a software product, which is stored in a storage medium and includes one or more instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the embodiments of the present disclosure. The aforementioned storage medium may be a non-transitory storage medium, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, among other media capable of storing program code.

[0110] The above description and the accompanying drawings fully illustrate the embodiments of the present disclosure so that those skilled in the art can practice them. Other embodiments may include structural, logical, electrical, process and other changes. The embodiments represent only possible variations. Unless explicitly required, individual components and functions are optional, and the order of operations may vary. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. Moreover, the words used in this application are only used to describe the embodiments and are not used to limit the claims. As used in the description of the embodiments and claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to also include plural forms. Similarly, the term "and / or" as used in this application refers to any and all possible combinations of one or more associated listings. In addition, when used in this application, the term "comprise" and its variations "comprises" and / or comprising refer to the presence of stated features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or groups of these. In the absence of further restrictions, an element defined by the statement "comprises a..." does not exclude the presence of other identical elements in the process, method or device that includes the element. In this article, each embodiment may focus on the differences from other embodiments, and the same and similar parts between the embodiments can be referenced to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method part disclosed in the embodiments, then the relevant parts can be found in the description of the method part.

[0111] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software may depend on the specific application and design constraints of the technical solution. The technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the embodiments of the present disclosure. The technicians will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0112] In the embodiments disclosed herein, the disclosed methods and products (including but not limited to devices, equipment, etc.) can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units can be merely a logical functional division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between each other shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, and can be electrical, mechanical or other forms. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected to implement this embodiment according to actual needs. In addition, the functional units in the embodiments of the present disclosure may be integrated into a processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0113] The flowcharts and block diagrams in the accompanying drawings show the possible implementation architectures, functions and operations of the systems, methods and computer program products according to the embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, program segment or part of the code, and the module, program segment or part of the code contains one or more executable instructions for implementing the specified logical functions. In some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, or they can sometimes be executed in the opposite order, which can depend on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different boxes can also occur in an order different from that disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps can actually be executed substantially in parallel, or they can sometimes be executed in the opposite order, which can depend on the functions involved. Each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented by a dedicated hardware-based system that performs the specified function or action, or may be implemented by a combination of dedicated hardware and computer instructions.

Claims

1. A scanning method for medical equipment, characterized in that: include: Based on the positioning image, obtain the Locater scanning position; Based on historical scanning data, obtain the target image corresponding to the Locater scanning position; The target image is used as the Locater image for subsequent scanning processes.

2. The scanning method according to claim 1, wherein: The historical scan data includes a historical scan image sequence. Based on the historical scan data, the target image corresponding to the Locater scan position is obtained, including: According to the historical scan image sequence, the target image corresponding to the Locater scanning position that meets the Locater scanning requirements is determined.

3. The scanning method according to claim 2, wherein: The historical scan data also includes historical scan raw data, and the historical scan image sequence is reconstructed based on the historical scan raw data. The method further includes: If there is no image that meets the Locater scanning requirements in the historical scan image sequence, a target image corresponding to the Locater scanning position that meets the Locater scanning requirements is reconstructed based on the historical scan data.

4. The scanning method according to claim 2, wherein: Based on the historical scan image sequence, the target image corresponding to the Locater scanning position that meets the Locater scanning requirements is determined, including: Input the historical image sequence into the quality recognition model to obtain the target image; or, Based on the Locater scanning position, the initial target image corresponding to the Locater scanning position is obtained in the historical image sequence; The initial target image is input into the quality recognition model to obtain the target image.

5. The scanning method according to claim 1, wherein: The historical scan data includes historical scan data. Based on the historical scan data, the target image corresponding to the Locater scan position is obtained, including: Based on historical scan data, the target image corresponding to the Locater scanning position that meets the Locater scanning requirements is reconstructed.

6. The scanning method according to claim 1, wherein: The historical scan data is acquired after the positioning image is acquired, and the patient's position remains unchanged during the acquisition of the positioning image and the historical scan data.

7. The scanning method according to claim 1, wherein: The historical scanning data is obtained before obtaining the positioning image, and the method further includes: Registering the positioning image with the historical positioning image to obtain the historical Locator scanning position of the Locator scanning position in the historical positioning image, wherein the historical positioning image is included in the historical scanning data or obtained by maximum intensity projection based on the historical scanning sequence; Acquiring a target image corresponding to the Locater scanning position based on the historical scanning data includes: acquiring a target image corresponding to the Locater scanning position based on the historical Locator scanning position and the historical scanning data.

8. The scanning method according to any one of claims 1 to 7, characterized in that: The Locater scanning position is the position of the key point of the region of interest on the positioning image, or the Locater scanning position is the target bed code corresponding to the key point of the region of interest, wherein the historical scanning data also includes the bed code.

9. The scanning method according to any one of claims 1 to 7, characterized in that: The target image is used as the Locater image and the subsequent scanning process is carried out, including: The target image is displayed on the main console. When the doctor confirms, In response to the doctor's marking operation, the contrast agent tracking position is marked in the Locater image; or, after obtaining the doctor's confirmation information, the contrast agent tracking position is automatically marked in the Locater image.

10. The scanning method according to any one of claims 1 to 7, characterized in that: Also includes: When the target image cannot be acquired based on the historical scan data or the determined locator image does not obtain the doctor's confirmation information, a locator scan is performed to acquire the locator image.

11. A scanning device for medical equipment, comprising a processor and a memory storing program instructions, characterized in that: The processor is configured to execute the scanning method for a medical device according to any one of claims 1 to 10 when running the program instructions.

12. A medical device, characterized in that: include: Medical device body; The scanning device for medical equipment according to claim 11, mounted on the medical equipment body.

Images