CN112071405A - Method, system and device for marking detection area of ionization chamber - Google Patents
Method, system and device for marking detection area of ionization chamber Download PDFInfo
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Abstract
The embodiment of the specification discloses a method and a system for marking a detection area of an ionization chamber, wherein the method comprises the following steps: acquiring position information of one or more ionization chambers in an examination chamber in a scanning device, wherein the scanning device is used for scanning an object; determining a detection region of at least one of the one or more ionization chambers based on the position information of the one or more ionization chambers; determining projection data of a projection device, the projection data comprising image data corresponding to an detection region of the at least one ionization chamber; and controlling the projection device to project the projection data onto the object.
Description
Technical Field
The present application relates generally to the field of medical imaging and, more particularly, to methods and systems for marking a detection region of an ionization chamber.
Background
The Automatic Exposure Control (AEC) technique is to use an ionization chamber to detect the dose of radiation after passing through a scanned object, thereby controlling the Exposure time of an X-ray machine and the total amount of X-rays, so that X-ray images taken by different parts and different patients can have the same level of Exposure, and the phenomena of overlarge dose difference and uneven image quality among the taken images are avoided. During clinical use, the object to be scanned or the region of interest (ROI) to be scanned needs to cover the detection region of the ionization chamber correctly, otherwise the exposure dose may be low and the image quality may be degraded. Conventionally, the detection area of the ionization chamber is generally marked on the surface of the device by means of a marking frame or a marking line. In practical operation, because the position mark of the detection area of the ionization chamber is very easily covered by human body or clothes, or part of the movable object surface (such as the movable bed surface of the examination bed) cannot mark the detection area of the ionization chamber, it is difficult for the operator to obtain the accurate position of the detection area of the ionization chamber, and thus it cannot be accurately determined whether the object to be scanned or the region of interest covers the detection area of the ionization chamber. Accordingly, there is a need for a method and system for marking the detection region of an ionization chamber.
Disclosure of Invention
One of the embodiments of the present description provides a method of marking a detection region of an ionization chamber, the method of marking the detection region of the ionization chamber comprising: acquiring position information of one or more ionization chambers in a scanning device, the scanning device being used for scanning an object; determining a detection region of at least one of the one or more ionization chambers based on the position information of the one or more ionization chambers; determining projection data of a projection device, the projection data comprising image data corresponding to an detection region of the at least one ionization chamber; and controlling the projection device to project the projection data onto the object.
One of the embodiments of the present specification provides a system for marking a detection region of an ionization chamber, including an acquisition module for acquiring position information of one or more ionization chambers in a scanning device; the device comprises an acquisition module, a processing module and a control module, wherein the acquisition module is used for acquiring the position information of one or more ionization chambers in the scanning equipment; a detection region determination module for determining a detection region of at least one of the one or more ionization chambers based on the position information of the one or more ionization chambers; a projection data determination module to determine projection data of a projection device, the projection data including image data corresponding to a detection region of the at least one ionization chamber; and a control module for controlling the projection device to project the projection data onto an object to be scanned.
One of the embodiments of the present specification provides a computer-readable storage medium, wherein the storage medium stores computer instructions, and when the computer instructions in the storage medium are read by a computer, the computer executes the method for marking a detection region of an ionization chamber.
The present application provides, in another aspect, an apparatus for marking the detection region of an ionization chamber, characterized in that it comprises a program for marking the detection region of an ionization chamber, said program implementing said method for marking the detection region of an ionization chamber.
Additional features of the present application will be set forth in part in the description which follows. Additional features of some aspects of the present application will be apparent to those of ordinary skill in the art in view of the following description and accompanying drawings, or in view of the production or operation of the embodiments. The features of the present application may be realized and attained by practice or use of the methods, instrumentalities and combinations of the various aspects of the specific embodiments described below.
Drawings
The present application will be further described by way of exemplary embodiments. These exemplary embodiments will be described in detail by means of the accompanying drawings. The figures are not drawn to scale. These embodiments are non-limiting exemplary embodiments in which like reference numerals represent similar structures throughout the several views of the drawings, and wherein:
FIG. 1 is a schematic diagram of an application scenario of a system for marking a detection region of an ionization chamber according to some embodiments of the present application;
FIG. 2 is a flow chart of a method of marking a detection region of an ionization chamber according to some embodiments of the present application;
FIG. 3 is a flow diagram illustrating the automatic selection of a target ionization chamber according to some embodiments of the present application;
FIG. 4 is a flow chart illustrating adjusting projection data according to some embodiments of the present application;
fig. 5 is a block diagram of a system for marking a detection region of an ionization chamber according to some embodiments of the present application.
Detailed Description
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings used in the description of the embodiments will be briefly described below. It is obvious that the drawings in the following description are only examples or embodiments of the present description, and that for a person skilled in the art, the present description can also be applied to other similar scenarios on the basis of these drawings without inventive effort. Unless otherwise apparent from the context, or otherwise indicated, like reference numbers in the figures refer to the same structure or operation.
It should be understood that "system", "device", "unit" and/or "module" as used herein is a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, other words may be substituted by other expressions if they accomplish the same purpose.
As used in this specification and the appended claims, the terms "a," "an," "the," and/or "the" are not intended to be inclusive in the singular, but rather are intended to be inclusive in the plural, unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that steps and elements are included which are explicitly identified, that the steps and elements do not form an exclusive list, and that a method or apparatus may include other steps or elements.
Although various references are made herein to certain modules or units in a system according to embodiments of the present description, any number of different modules or units may be used and run on the client and/or server. The modules are merely illustrative and different aspects of the systems and methods may use different modules.
Flow charts are used in this description to illustrate operations performed by a system according to embodiments of the present description. It should be understood that the preceding or following operations are not necessarily performed in the exact order in which they are performed. Rather, the various steps may be processed in reverse order or simultaneously. Meanwhile, other operations may be added to the processes, or a certain step or several steps of operations may be removed from the processes.
In this application, the term "and/or" may include any one or more of the associated listed items or combinations thereof. The term "image" is used herein to generically refer to image data (e.g., scan data, projection data) and/or various forms of images, including two-dimensional (2D) images, three-dimensional (3D) images, four-dimensional (4D) images, and the like.
Systems and methods for marking a detection region of an ionization chamber are provided. In particular, during clinical use, it is necessary to have the object to be scanned or the region of interest (ROI) correctly cover the detection region of the ionization chamber, otherwise it may result in a low exposure dose, which affects the image quality. In actual operation, because the position mark of the detection region of the ionization chamber is missing or is blocked by the object, the operator cannot acquire the accurate position of the detection region of the ionization chamber, so that whether the object to be scanned or the region of interest covers the detection region of the ionization chamber cannot be accurately judged, and image quality may be reduced. The system and the method for marking the detection area of the ionization chamber can help an operator to obtain the accurate position of the detection area of the ionization chamber, so that the operator can accurately judge whether the object to be scanned or the region of interest covers the detection area of the ionization chamber, the quality of a scanned image can be improved, and the time and the energy required by the operator can be reduced.
Fig. 1 is a schematic diagram of an application scenario of a system for marking a detection region of an ionization chamber according to some embodiments of the present application. As shown in fig. 1, system 100 may include a scanning device 110, a processing device 120, a storage device 130, one or more terminals 140, a network 150, and a projection device 160. In some embodiments, the scanning device 110, the processing device 120, the storage device 130, the terminal 140, and/or the projection device 160 may be connected to each other and/or communicate via a wireless connection, a wired connection, or a combination thereof. The connections between the components of the system 100 may be variable. For example only, the scanning device 110 may be connected to the processing device 120 through the network 150 or directly. As another example, storage device 130 may be connected to processing device 120 through network 150 or directly.
The scanning device 110 may generate or provide image data related to the object by scanning the object. In some embodiments, the object may comprise a biological object and/or a non-biological object. For example, the subject may include a particular part of the body, such as the head, chest, abdomen, etc., or a combination thereof. Also for example, the object may be an artificial object of organic and/or inorganic matter, living or non-living. In some embodiments, the scanning apparatus 110 may be a non-invasive biomedical imaging device for disease diagnosis or research purposes. The scanning device 110 may include a single modality scanner and/or a multi-modality scanner. The single modality scanner may include, for example, an X-ray scanner, a Computed Tomography (CT) scanner, a Digital Radiography (DR) scanner (e.g., mobile digital radiography), a Digital Subtraction Angiography (DSA) scanner, a Dynamic Spatial Reconstruction (DSR) scanner, an X-ray microscope scanner, or the like, or any combination thereof. For example, an X-ray imaging device may include an X-ray source and a detector. The X-ray source may be configured to emit X-rays toward an object to be scanned. The detector may be configured to detect X-rays transmitted through the object. In some embodiments, the X-ray imaging device may be, for example, a C-shaped X-ray imaging device, a stand-up X-ray imaging device, a hanging X-ray imaging device, or the like. The multi-modality scanner may include, for example, an X-ray imaging-magnetic resonance imaging (X-ray-MRI) scanner, a positron emission tomography-X-ray imaging (PET-X-ray) scanner, a positron emission tomography-computed tomography (PET-CT) scanner, a digital subtraction angiography-magnetic resonance imaging (DSA-MRI) scanner, and the like.
The scanners provided above are for illustration purposes only and are not intended to limit the scope of the present application. As used herein, the term "imaging modality" or "modality" broadly refers to an imaging method or technique that collects, generates, processes, and/or analyzes imaging information of a subject.
For illustrative purposes, the present application generally describes systems and methods relating to X-ray imaging systems. It should be noted that the X-ray imaging system described below is provided as an example only and is not intended to limit the scope of the present application. The systems and methods disclosed herein may be any other imaging system.
In some embodiments, scanning device 110 may include a gantry 111, a detector 112, a detection region 113, a scanning stage 114, and a radiation source 115. Gantry 111 may support a detector 112 and a radiation source 115. The object may be placed on a scanning table 114 and then moved into a detection region 113 for scanning. Radiation source 115 may emit radioactive rays toward a subject. The radioactive rays may include particle rays, photon rays, and the like, or combinations thereof. In some embodiments, the radioactive emissions may include at least two radiation particles (e.g., neutrons, protons, electrons, muons, heavy ions), at least two radiation photons (e.g., X-rays, gamma rays, ultraviolet rays, laser light), and the like, or combinations thereof. The detector 112 may detect radiation emanating from a detection region 113. In some embodiments, the detector 112 may include at least two detector cells. The detector unit may be a single-row detector or a multi-row detector.
In some embodiments, the processing device 120 may be a single server or a group of servers. The server groups may be centralized or distributed. In some embodiments, the processing device 120 may be local or remote to the system 100. For example, processing device 120 may access information and/or data from scanning device 110, storage device 130, and/or terminal 140 via network 150. As another example, processing device 120 may be directly connected to scanning device 110, terminal 140, storage device 130, and/or projection device 160 to access information and/or data. In some embodiments, the processing device 120 may be implemented on a cloud platform. For example, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, inter-cloud, multi-cloud, and the like, or combinations thereof.
In some embodiments, processing device 120 may include one or more processors (e.g., a single chip processor or a multi-chip processor). By way of example only, the processing device 120 may include a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), an application specific instruction set processor (ASIP), an image processing unit (GPU), a physical arithmetic processing unit (PPU), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), a Programmable Logic Device (PLD), a controller, a micro-controller unit, a Reduced Instruction Set Computer (RISC), a microprocessor, or the like, or any combination thereof.
In some embodiments, storage device 130 may be connected to network 150 to communicate with one or more other components of system 100 (e.g., processing device 120, terminal 140). One or more components of system 100 may access data or instructions stored in storage device 130 via network 150. In some embodiments, the storage device 130 may be part of the processing device 120.
The network 150 may be or include a public network (e.g., the internet), a private network (e.g., a Local Area Network (LAN)), a wired network, a wireless network (e.g., an 802.11 network, a Wi-Fi network), a frame relay network, a Virtual Private Network (VPN), a satellite network, a telephone network, a router, a hub, a switch, a server computer, and/or any combination thereof. For example, network 150 may include a cable network, a wireline network, a fiber optic network, a telecommunications network, an intranet, a Wireless Local Area Network (WLAN), a Metropolitan Area Network (MAN), a Public Switched Telephone Network (PSTN), a bluetooth network, a ZigBee network, a Near Field Communication (NFC) network, the like, or any combination thereof. In some embodiments, the network 150 may include one or more network access points. For example, network 150 may include wired and/or wireless network access points, such as base stations and/or internet switching points, through which one or more components of system 100 may connect to network 150 to exchange data and/or information.
Before the scanning device 110 performs a scan of the object, the projection device 160 may be configured to project projection data that needs to be projected onto the object to be scanned. In some embodiments, the projection data may include image data corresponding to an detection region of at least one of the one or more ionization chambers. For example, prior to scanning, the projection device 160 may acquire image data of the detection region of at least one of the one or more ionization chambers and project the image data onto the object to be scanned. In some embodiments, the projection data may also include image data corresponding to a region of interest (ROI) of the object to be scanned.
In some embodiments, as shown in FIG. 1, the projection device 160 may be a device separate from the scanning device 110. For example, the projection device 160 may be a projector mounted on the ceiling of an examination room and the scanning device 110 may be located in the examination room. Alternatively, the projection device 160 may be integrated into or mounted on the scanning device 110 (e.g., the gantry 111).
In some embodiments, the system 100 may also include an image capture device (e.g., a camera or a webcam) for capturing image data of the object. In some embodiments, the image capture device may capture image data of an object while also capturing projection data projected on the object.
The image capture device may be and/or include any suitable device capable of capturing image data of a subject. For example, the image capture device may include a camera (e.g., a digital camera, an analog camera, etc.), a red-green-blue (RGB) sensor, an RGB depth (RGB-D) sensor, or other device that may capture color image data of an object.
In some embodiments, the image capture device may be a device separate from the scanning device 110. Alternatively, the image capture device may be integrated into or mounted on the scanning apparatus 110 (e.g., the gantry 111). In some embodiments, the image data acquired by the image capture device may be transmitted to the processing device 120 for further analysis. Additionally or alternatively, image data acquired by the image capture device may be sent to a terminal device (e.g., terminal 140) for display and/or a storage device (e.g., storage device 130) for storage.
In some embodiments, the image capture device may continuously or intermittently (e.g., periodically) capture image data of the subject before, during, and/or after the scan of the subject is performed by the scanning apparatus 110.
In some embodiments, the acquisition of image data by the image capture device, transmission of the captured image data to the processing apparatus 120, and analysis of the image data may be performed in substantially real-time, such that the image data may provide information indicative of a substantially real-time status of the subject.
It should be noted that the above description of system 100 is intended to be illustrative, and not to limit the scope of the present application. Many alternatives, modifications, and variations will be apparent to those of ordinary skill in the art. The features, structures, methods, and other features of the exemplary embodiments described herein may be combined in various ways to obtain additional and/or alternative exemplary embodiments. For example, the system 100 may include one or more additional components. Additionally or alternatively, one or more components of the system 100, such as an image capture device, may be omitted. As another example, two or more components of the system 100 may be integrated into a single component. For example only, the processing device 120 (or a portion thereof) may be integrated into the scanning device 110.
Fig. 2 is a flow chart of a method of marking a detection region of an ionization chamber according to some embodiments of the present application. In particular, flow 200 may be performed by processing device 120. For example, process 200 may be stored in a storage device (e.g., storage device 130) in the form of a program or instructions that, when executed by system 100, may implement process 200 for marking a detection region of an ionization chamber. As shown in fig. 2, the process 200 may include the following steps.
In step 210, position information of one or more ionization chambers in an examination chamber in a scanning apparatus for scanning an object is obtained.
In particular, this step may be accomplished by the acquisition module 510.
In some embodiments, a scanning device (e.g., scanning device 110) is used to scan an object, such as a patient, located in an examination room. By way of example only, the scanning device may be a medical imaging device, such as a boom X-ray imaging device, a stand-up X-ray imaging device, a Digital Radiography (DR) device (e.g., a mobile digital X-ray medical imaging apparatus), a CT device, or the like, or similar devices as described elsewhere in this application. For example, the scanning device may be a vertical X-ray imaging device, and during scanning, the X-ray source emits radiation through a region of interest (ROI) of a standing patient, and the image receptor of the scanning device may detect the intensity of the X-ray passing through the ROI of the patient. The ROI may contain one or more body parts (e.g., tissues, organs) of the subject that need to be scanned.
An ionization chamber in a scanning device can be configured to detect an amount of radiation that reaches a detector of the scanning device (e.g., an amount of radiation in a detection region of the ionization chamber over a period of time). The ionization chamber may typically be provided between the detector and the object to be scanned. In some embodiments, the ionization chamber may include various ionization chambers suitable for medical imaging procedures, such as a solid ionization chamber, a liquid ionization chamber, an air ionization chamber, and the like, which are not limited in this application. In some embodiments, one or more target ionization chambers may be selected among the plurality of ionization chambers (described in connection with operation 360 of fig. 3). One or more target ionization chambers may be activated while scanning the target object, while other ionization chambers (if any) may be deactivated during scanning of the target object. In some embodiments, an Automatic Exposure Control (AEC) method may be implemented when scanning an object. When the cumulative amount of radiation detected by the one or more target ionization chambers exceeds a threshold, a radiation controller (e.g., a component or control module 540 of the scanning device 110) can cause a radiation source of the scanning device 110 to cease scanning.
In some embodiments, the positional information of the ionization chamber in the examination chamber may include positional information of the ionization chamber relative to one or more components (e.g., detectors) of the scanning device 110 and/or the position of the ionization chamber in a 3D coordinate system. In some embodiments, the position of the ionization chamber relative to a detector (e.g., a flat panel detector) of the scanning device 110 may be fixed. For example, the ionization chamber may be fixed in a position that is invariant with respect to the detector, and the position of the ionization chamber with respect to the detector does not change during different scanning operations. And the operator and/or the scanning device 110 may adjust the position of the detector before scanning according to the position of the ROI of the object. The processing device 120 may acquire the position of the detector of the scanning device 110 in the examination room and the fixed position of the ionization chamber relative to the detector of the scanning device 110 to determine positional information of the ionization chamber in the examination room. In some embodiments, the position of the ionization chamber relative to the detector of scanning device 110 is adjustable. For example, the ionization chamber may be mounted within a removable cassette, which and/or other components of the scanning device 110 may have a position sensor mounted therein. Processing device 120 may acquire data detected by the position sensor to determine the position of the ionization chamber. In some embodiments, the positional information of the ionization chamber in the examination chamber may be the position of the ionization chamber in a 3D coordinate system. For example, a 3D coordinate system may be established throughout the examination room to describe the location of the ionization chamber and/or other components of the system 100 (e.g., detectors, projection device 160).
In particular, this step may be accomplished by the detection region determination module 520.
In some embodiments, the detection region of the ionization chamber and the positional information of the ionization chamber may be correlated. The detection region of an ionization chamber may be a fixed area around the ionization chamber, for example, a circular region, a square region, a triangular region, or other shaped region of fixed size. The size and shape of the detection region may be related to the size of the ionization chamber. In some embodiments, the size of the region (e.g., radius, side length, area, etc.) may be pre-set in system 100. The processing device 120 may determine the actual detection area of a certain ionization chamber based on the position information of said ionization chamber and the size of the detection area. In some embodiments, the processing device 120 may determine the detection region of only one of the one or more ionization chambers. In some embodiments, the processing device 120 may determine the detection region of each of the plurality of ionization chambers. In some embodiments, the processing device 120 may determine the detection region of only a portion of the one or more ionization chambers. For example, the processing device 120 may further determine the detection region of a portion of the plurality of ionization chambers that is near a certain location (e.g., a center point, an upper half, a lower half, etc.) of the flat panel detector after determining the location information of the ionization chambers.
In particular, this step may be accomplished by the projection data determination module 530.
In some embodiments, the processing device 120 may determine projection data of the projection device 160, including image data corresponding to a detection region of at least one of the one or more ionization chambers (hereinafter simply referred to as "at least one ionization chamber"). The image data may be data generated based on an actual detection region of the at least one ionization chamber. The image data may be color image data or grayscale image data. In some embodiments, when processing device 120 determines the detection regions of multiple ionization chambers, multiple patterns (e.g., circles, squares, etc.) may be included in the image data, where each pattern corresponds to a detection region of one ionization chamber, respectively. The pattern may be a color-filled pattern or may be a line outlining the detection region of the ionization chamber. The detection zones may be represented by the same color and/or graphic or may be represented by different colors and/or graphics. In some embodiments, the processing device 120 may acquire the position of the projection device in the examination room and determine the size of the pattern corresponding to the detection region of the ionization chamber based on one or more of the position of the projection device, the position of the ionization chamber, the detection region of the ionization chamber, the body thickness of the subject, etc., such that the detection region of the ionization chamber projected onto the subject coincides with the actual detection region size of the ionization chamber. The projection device is used for projecting the projection data onto a subject to be scanned so as to mark a detection region of the ionization chamber. In some embodiments, the projection data also includes other forms of data or parameters, such as projection direction, brightness, resolution, contrast, and the like, or combinations thereof. At least some of these data or parameters may have default values or values that are manually set by a user (e.g., an operator). The projection direction may be a direction along the lens of the projection device to a center point of the detector (or a center point of the detection region of the at least one ionization chamber).
In particular, this step may be accomplished by the control module 540.
In some embodiments, the processing device 120 may control the projection device 160 to project projection data onto an object. The projection device 160 may be and/or include any suitable device capable of projecting image data. For example, projection device 160 may be a Cathode Ray Tube (CRT) projector, a Liquid Crystal Display (LCD) projector, a Digital Light Processor (DLP) projector, a Digital Light Valve (DLV) projector, or other device that may project image data. In some embodiments, the projection device 160 may project the projection data onto the object in a central projection or parallel projection manner. When the parallel projection mode is adopted, the projection device 160 may project the projection data onto the object in an orthogonal projection mode or an oblique projection mode, and preferably, the projection data may be projected onto the object in an orthogonal projection mode.
The projection data may include image data corresponding to a detection region of the at least one ionization chamber. For example, the projection device may project data that needs to be projected towards a center point of the detector, and due to occlusion by the object, image data corresponding to the detection region of the at least one ionization chamber may be projected onto a body surface of the object, thereby marking the detection region of the at least one ionization chamber. The operator can conveniently observe the projected detection area of the at least one ionization chamber to determine whether one or more candidate ionization chambers are included in the at least one ionization chamber. As used herein, the term "candidate ionization chamber" refers to an ionization chamber covered by an ROI of the subject to be scanned. In some embodiments, the operator can determine the approximate extent of the ROI by visual inspection. In some embodiments, the projection data projected onto the object by the projection device may also include image data corresponding to the ROI. For example, the ROI may be represented by a colored filled graphic (e.g., a rectangle) or outlined by a colored line. Different display modes can be used to distinguish the ROI from the detection region of the ionization chamber. For example, the ROI and the detection region of the ionization chamber may be represented by different colors. As another example, the ROI may be outlined by lines, while the detection region of the ionization chamber is represented by a colored filled-in graphic. Such a projection mode facilitates an operator to visually observe whether the ROI of the object covers the detection region of at least a portion of the at least one ionization chamber. Alternatively, the operator may project a laser positioning light on the subject to view the extent of the ROI. In some embodiments, the processing device 120 may automatically determine the ROI of the object. The determination of the ROI may be performed in a manner commonly used by those skilled in the art, and the present invention is not limited thereto. For example, the processing device 120 may acquire an image (e.g., the reference image depicted in fig. 3) containing a portion (e.g., the chest, lower extremities) of the subject to be scanned and determine the ROI of the subject using a template matching algorithm, a machine learning model, or the like.
If the operator determines that no candidate ionization chamber is included in the at least one ionization chamber (i.e., the ROI of the subject does not cover the detection region of any of the at least one ionization chamber), the operator may adjust the position of one or more of the at least one ionization chambers (also referred to as reference ionization chambers) relative to the ROI of the subject (e.g., patient). For example, the operator may direct the patient to change position or change posture. As another example, if the ionization chamber is movable relative to the detector, the operator may adjust the position of one or more reference ionization chambers relative to the detector. As another example, the operator may adjust the position of the detector (e.g., move the detector in an up-down and/or left-right direction) to change the position of one or more reference ionization chambers relative to the ROI of the subject. After adjusting the position of the ionization chamber relative to the ROI, processing device 120 may repeat process 200 to facilitate the operator in determining whether the detection region of at least one of the one or more reference ionization chambers is covered by the ROI. In some embodiments, if the position of one or more reference ionization chambers is changed, the processing device 120 may update the projection data in real time so that the projection data may reflect the changed actual detection region of the one or more reference ionization chambers, so that the user may observe and determine whether to continue to adjust the position of the one or more reference ionization chambers.
Further, if the operator determines that one or more candidate ionization chambers are included in the at least one ionization chamber (i.e., the ROI of the subject covers the detection region of at least a portion of the at least one ionization chamber), the user may select one or more target ionization chambers from the one or more candidate ionization chambers via a terminal (e.g., terminal 140). Processing device 120 may obtain user input from terminal 140 to determine the selected target ionization chamber. Optionally, the processing device 120 may adjust the projection data of the projection device 160 such that image data corresponding to detection regions of the one or more target ionization chambers has a visually significant difference from image data corresponding to detection regions of other ionization chambers in the projection data. For a more detailed description of the manner in which the projection data is adjusted after the target ionization chamber is determined, reference may be made to fig. 4.
In some embodiments, the processing device 120 may automatically determine whether one or more candidate ionization chambers are included in the at least one ionization chamber. In particular, the processing device 120 may automatically determine whether the ROI of the object covers the detection region of at least a part of the at least one ionization chamber. In response to the ROI of the subject covering detection regions of at least a portion of the at least one ionization chamber, processor 120 may designate those ionization chambers for which detection regions are covered as candidate ionization chambers. Optionally, the processing device 120 may also automatically select one or more target ionization chambers from the one or more candidate ionization chambers. Reference may be made to fig. 3 for a description of the above automatic determination process.
Fig. 3 is a flow chart illustrating automatic selection of a target ionization chamber according to some embodiments of the present application. In particular, flow 300 may be performed by processing device 120. For example, process 300 may be stored in a storage device (e.g., storage device 130) in the form of a program or instructions that, when executed by system 100, may implement process 300 for automatically selecting a target ionization chamber. As shown in fig. 3, the process 300 may include the following steps.
In some embodiments, step 310 may be performed by acquisition module 510.
In some embodiments, an image capture device (e.g., a camera) of the system 100 may acquire a reference image of the object. For example, after the projection device projects the projection data onto the object to be scanned, the processing device 120 (e.g., the control module 540) may control the camera to acquire a reference image of the object. The camera may capture image data of an object while capturing graphics projected on the object. In some embodiments, the reference image may include an ROI of the object and the marked detection region of the at least one ionization chamber projected on the object. In some embodiments, the pattern projected on the object by the projection device may comprise a pattern corresponding to the detection region of the at least one ionization chamber and a pattern corresponding to the ROI of the object. Accordingly, the reference image may comprise the ROI marked by projection and the detection region of the at least one ionization chamber.
The image capture device may be and/or include any suitable device capable of capturing image data of a subject. For example, the image capture device may include a camera (e.g., a digital camera, an analog camera, etc.), a webcam, a red-green-blue (RGB) sensor, an RGB-depth (RGB-D) sensor, or other device that may capture image data of an object. Preferably, the image capture device (e.g., a camera) may take a reference image of the subject in an orthophoto manner. The image capture device (e.g., a camera) may also take a reference image of the subject in other manners (e.g., oblique photography, etc.), which is not limited in this application.
In step 320, a first region in the reference image is identified, the first region corresponding to a region of interest of the object to be scanned.
In some embodiments, image data corresponding to the ROI is not included in the projection data of the projection device. The processing device 120 (e.g., the candidate ionization chamber determination module 550) may identify a first region corresponding to the ROI from the reference image. For example, the processing device 120 may determine the ROI of the object from the reference image by using a template matching algorithm, a machine learning model, or the like, which is not limited in this application. For example only, if a machine learning model is used, the reference image may be input into the trained machine learning model, and the trained machine learning model may process the reference image and output the identified first region. The training samples used to train the machine learning model may include a plurality of sample images and ROIs manually labeled from the sample images.
In some embodiments, image data corresponding to the ROI may be included in the projection data of the projection device. The processing device 120 may employ an image recognition algorithm to identify the first region from the reference image. For example, the image recognition algorithm may include a recognition algorithm based on image features such as color features, texture features, shape features, and local feature points. In some embodiments, a component of system 100 (e.g., terminal 140) may display the first region on a display interface of the terminal.
A second region in the reference image is identified, step 330, which corresponds to a detection region of the at least one ionization chamber projected onto the object.
In some embodiments, the processing device 120 may employ an image recognition algorithm to identify a second region from the reference image that corresponds to the detection region of the at least one ionization chamber. For example, the image recognition algorithm may include a recognition algorithm based on image features such as color features, texture features, shape features, and local feature points. In some embodiments, the second region of the detection region corresponding to the at least one ionization chamber projected onto the object may be comprised of a plurality of separate regions. For example, when the projection data includes image data of detection regions of 2 ionization chambers, the second region may be composed of 2 separated sub-regions, each of which corresponds to a detection region of one ionization chamber.
In some embodiments, step 340 may be determined by candidate ionization chamber determination module 550. For example, a component of the system 100 (e.g., the processing device 120) may determine whether the first area covers the second area or at least one of one or more sub-areas of the second area. In response to the first region covering the second region or at least one of the one or more sub-regions of the second region, the processing device 120 may determine that at least one candidate ionization chamber is included in the at least one ionization chamber. The target ionization chamber may be selected from candidate ionization chambers. If the first region does not cover the second region or any sub-region of the second region, the processing device 120 may determine that the at least one ionization chamber does not include any candidate ionization chambers.
It should be noted that the above determination may be automatically performed by a component of the system 100 (e.g., the processing device 120) based on the first area and the second area, or may be manually determined by a user. For example, the user may make an artificial judgment through the first area and the second area displayed on the display interface of the component (e.g., the terminal 140) of the system 100 and input the judgment result into the terminal 140.
In some embodiments, step 350 may be determined by candidate ionization chamber determination module 550.
For example, the prompting message may be in the form of text, voice, image, video, alarm, etc., or any combination thereof. For example, the prompting information can be in text and voice form, and when the processing device 120 determines that the ROI does not cover the detection region of any of the at least one ionization chamber, text for prompting can be displayed on the display interface of the terminal 140 (e.g., "the ROI does not cover any ionization chamber detection region"), and the terminal 140 can issue a voice prompt corresponding to the text. As another example, the prompting message may be in the form of an image, and when a component of the system 100 (e.g., the processing device 120) determines that the detection region of any one of the at least one ionization chamber does not cover the region of interest, the portion of the display interface of the terminal 140 displaying the first region and/or the second region may change color and/or flash to prompt the user. In some embodiments, after receiving the prompt message, the user may manually change the position of one or more reference ionization chambers of the at least one ionization chamber relative to the ROI to be scanned, so that the ROI may cover the detection region of at least one reference ionization chamber of the one or more reference ionization chambers. For example, a user may adjust the position of one or more reference ionization chambers. As another example, a user may adjust the pose and/or position of an object to move the ROI of the object relative to the one or more reference ionization chambers such that the ROI may cover the detection region of at least one of the one or more reference ionization chambers.
In some embodiments, in response to determining that no candidate ionization chamber is included in the at least one ionization chamber, a component of system 100 (e.g., processing device 120) may cause one or more reference ionization chambers of the at least one ionization chamber to move relative to the ROI of the subject such that the ROI may cover a detection region of at least one reference ionization chamber of the one or more reference ionization chambers.
Step 360, in response to determining that one or more candidate ionization chambers are included in the at least one ionization chamber, selecting one or more target ionization chambers from the one or more candidate ionization chambers that will be operated during the scanning of the object.
In some embodiments, step 360 may be performed by target ionization chamber determination module 560.
In some embodiments, in response to determining that one or more candidate ionization chambers are included in the at least one ionization chamber, processing device 120 may select one or more target ionization chambers from the one or more candidate ionization chambers that will be operated during the scan of the object.
In some embodiments, processing device 120 may select one or more target ionization chambers near the ROI of the subject among the one or more candidate ionization chambers. For example, processing device 120 may select one or more target ionization chambers from the candidate ionization chambers near the ROI based on the distance between the candidate ionization chambers and the ROI. The distance between the candidate ionization chamber and the ROI may refer to the distance between a point of the candidate ionization chamber (e.g., the center point) and a point of the ROI (e.g., the center point). Processing device 120 may determine a distance between the candidate ionization chamber and the ROI based on the position information of the candidate ionization chamber and the position information of the ROI. For example only, for one candidate ionization chamber, processing device 120 may determine a distance between the candidate ionization chamber and the ROI. Processing device 120 may determine whether the distance is less than a distance threshold (e.g., 2 centimeters). If the distance between the candidate ionization chamber and the ROI is less than the distance threshold, processing device 120 may determine that the candidate ionization chamber is near the ROI and designate the candidate ionization chamber as a target ionization chamber. For another example, processing device 120 may select, among the plurality of candidate ionization chambers, the candidate ionization chamber closest to the ROI, i.e., the candidate ionization chamber having the smallest distance from the ROI, as the target ionization chamber. Optionally, the processing device 120 may also select the candidate ionization chamber closest to the significant portion of the ROI as the target ionization chamber. For example, when the ROI is the thorax, the processing device 120 may select the candidate ionization chamber closest to the heart site as the target ionization chamber. Optionally, the processing device 120 may also randomly choose one or more target ionization chambers from the candidate ionization chambers.
FIG. 4 is a flow chart illustrating adjusting projection data according to some embodiments of the present application. In particular, flow 400 may be performed by processing device 120. For example, the process 400 may be stored in a storage device (e.g., the storage device 130) in the form of a program or instructions that, when executed by the system 100, may implement the process 400 for adjusting projection data. As shown in fig. 4, the process 400 may include the following steps.
At step 410, identifying information of one or more target ionization chambers selected from the at least one ionization chamber is obtained.
In some embodiments, step 410 may be performed by target ionization chamber determination module 560.
In some embodiments, the processing device 120 may obtain identification information of one or more target ionization chambers selected from the at least one ionization chamber. The identification information is information for distinguishing different ionization chambers. For example, the identification information may be the number of the ionization chamber, the location information of the ionization chamber, and/or other information that can distinguish the target ionization chamber from other ionization chambers. The one or more target ionization chambers may be determined manually by a user after viewing the projection results (e.g., image data projected by the projection device in step 240 of process 200) or may be determined automatically by processing device 120 (e.g., as determined in accordance with process 300).
In some embodiments, the image features may be features characterizing different properties of the image, such as fill color of the image, color of the image contour, thickness of the image contour, and the like. The first feature value and the second feature value may be different feature values corresponding to the same image feature. By making the first eigenvalues of the image data of the detection regions corresponding to the one or more target ionization chambers in the projection data different from the second eigenvalues of the image data of the detection regions corresponding to the other ionization chambers, it may be facilitated for a user to distinguish the detection region of the target ionization chamber from the detection regions of the other ionization chambers projected onto the object. For example, the first feature value may be red, and the second feature value may be green, corresponding to an image feature of a color of an image; the color of the pattern of detection regions corresponding to all of the at least one ionization chamber may be green before adjusting the projection data. Components of system 100 (e.g., processing device 120) may change the color of the pattern of detection regions of the target ionization chamber to red and the color of the pattern of detection regions of the other ionization chambers to green based on the identification information for the purpose of distinguishing the target ionization chamber from the other ionization chambers. As another example, the first feature value may be 5mm and the second feature value may be 1mm corresponding to the width of the border of the image. In some embodiments, the image feature may also be text and/or symbols. For example, the image feature may be an arrow, and in this case, the feature value of the image feature may be whether the arrow is included. For example, the first feature value may be that the arrow is included and the second feature value may be that the arrow is not included, corresponding to the image feature. Similarly, the image feature may also be text, such as "selected" or the like. In some embodiments, the first characteristic value and/or the second characteristic value may be preset in the system 100, or may be set by a user in operation (e.g., through the terminal 140). For example, the user can set a first feature value of an image feature corresponding to a color of an image to yellow through the terminal 140.
Fig. 5 is a block diagram of a system for marking a detection region of an ionization chamber according to some embodiments of the present application. As shown in fig. 5, components of a system (e.g., processing device 120) for labeling a detection region of an ionization chamber may include an acquisition module 510, a detection region determination module 520, a projection data determination module 530, and a control module 540. Optionally, in some embodiments, the components of the system (e.g., processing device 120) for labeling the detection region of an ionization chamber may further include a candidate ionization chamber determination module 550 and a target ionization chamber determination module 560.
The detection region determination module 520 may be configured to determine a detection region of at least one of the one or more ionization chambers based on the position information of the one or more ionization chambers. In some embodiments, the detection region of the ionization chamber and the positional information of the ionization chamber may be correlated. For example, the size and shape of the detection region may be related to the size of the ionization chamber. In some embodiments, the size (e.g., radius, side length, area, etc.) of the detection region may be pre-set in system 100. The detection region determination module 520 may determine the actual detection region of an ionization chamber based on the position information of the ionization chamber and the size of the detection region. For more information on the detection region determining module 520, reference may be made to the rest of the description (e.g., step 220), which is not further described herein.
The projection data determination module 530 may be used to determine projection data of a projection device, the projection data including image data corresponding to a detection region of the at least one ionization chamber. In some embodiments, the projection data further comprises image data corresponding to an ROI of the object to be scanned. For more information on the projection data determination module 530, reference may be made to the rest of the description (e.g., step 230), which is not further described herein.
The control module 540 may be used to control the projection device 160 to project the projection data onto the object to be scanned. The projection device 160 may be and/or include any suitable device capable of projecting image data. For example, projection device 160 may be a Cathode Ray Tube (CRT) projector, a Liquid Crystal Display (LCD) projector, a Digital Light Processor (DLP) projector, a Digital Light Valve (DLV) projector, or other device that may project image data. For more information on the control module 540, reference may be made to the rest of the description (e.g., step 240), which is not further described herein.
The candidate ionization chamber determination module 550 may be used to determine whether one or more candidate ionization chambers are included in the at least one ionization chamber. For example, the candidate ionization chamber determination module 550 may identify a first region corresponding to the ROI from the reference image. In some embodiments, the candidate ionization chamber determination module 550 may be further configured to determine whether one or more candidate ionization chambers are included in the at least one ionization chamber based on the first region and the second region. In some embodiments, candidate ionization chamber determination module 550 may be further operable to cause a terminal device (e.g., terminal 140) to generate a prompt in response to determining that no candidate ionization chambers are included in the at least one ionization chamber. For more information on candidate ionization chamber determination module 550, reference may be made to the rest of this description (e.g., step 320, step 340, step 350, etc.), which is not repeated here.
Target ionization chamber determination module 560 may determine one or more target ionization chambers. For example, in response to determining that one or more candidate ionization chambers are included in the at least one ionization chamber, target ionization chamber determination module 560 may select one or more target ionization chambers from the one or more candidate ionization chambers that will be operated during scanning of the object. In some embodiments, target ionization chamber determination module 560 may select one or more target ionization chambers near the ROI of the subject among a plurality of candidate ionization chambers. For more information regarding target ionization chamber determination module 560, reference may be made to the remainder of this description (e.g., step 360) and will not be described in further detail herein.
It should be noted that the above description of the system for marking the detection region of an ionization chamber and the apparatus/module thereof is merely for convenience of description and does not limit the present disclosure to the scope of the illustrated embodiments. It will be appreciated by those skilled in the art that, given the teachings of the present system, any combination of devices/modules or configuration of subsystems with other devices/modules may be implemented without departing from such teachings. For example, the acquisition module 510, the detection region determination module 520, the projection data determination module 530, and the control module 540 disclosed in fig. 5 may be different modules in one apparatus (e.g., the processing device 120), or may be a module that implements the functions of two or more modules described above. For example, the detection region determining module 520 and the projection data determining module 530 may be two modules, or one module may have the functions of the two modules. As another example, candidate ionization chamber determination module 550 and target ionization chamber determination module 560 may be omitted. Such variations are intended to be within the scope of the present disclosure.
The embodiment of the specification also discloses a computer-readable storage medium, which can store computer instructions, and after the computer reads the computer instructions in the storage medium, the computer can execute the method for marking the detection area of the ionization chamber provided by the application.
The embodiment of the specification also discloses a device for marking the detection region of the ionization chamber, which comprises a program for marking the detection region of the ionization chamber, wherein the program can realize the method for marking the detection region of the ionization chamber provided by the application.
The beneficial effects that may be brought by the embodiments of the present description include, but are not limited to: (1) projection data (for example, image data of a detection area of an ionization chamber) needing to be projected is projected onto an object through a projection device, the detection area of the ionization chamber can be clearly and effectively marked or shown, the defect that the detection area mark of the ionization chamber is lacked or is shielded by the object is overcome, the quality of a scanned image can be improved, and the time and the energy required by an operator can be reduced; (2) by acquiring a reference image of an object and identifying the reference image, whether a region of interest to be scanned of the object covers a detection region of at least one ionization chamber of the one or more ionization chambers can be automatically determined; furthermore, by generating prompt information and/or controlling the movement of the ionization chamber, the accuracy of the object to be scanned or the region of interest covering the detection region of the ionization chamber can be improved, and the time and effort required by the operator can also be reduced. It is to be noted that different embodiments may produce different advantages, and in different embodiments, any one or combination of the above advantages may be produced, or any other advantages may be obtained.
Having thus described the basic concepts, it will be apparent to those skilled in the art from this detailed disclosure that the foregoing detailed disclosure is intended to be presented by way of example only, and not by way of limitation. Various changes, improvements and modifications may occur and are intended to those skilled in the art, though not expressly stated herein. Such alterations, improvements, and modifications are intended to be suggested by this disclosure, and are within the spirit and scope of the exemplary embodiments of this disclosure.
Moreover, certain terminology has been used to describe embodiments of the disclosure. For example, the terms "one embodiment," "an embodiment," and/or "some embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Therefore, it is emphasized and should be appreciated that two or more references to "one embodiment" or "an alternative embodiment" in various portions of this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures or characteristics may be combined as suitable in one or more embodiments of the disclosure.
Moreover, those skilled in the art will recognize that the various aspects of the disclosure herein may be illustrated and described in any of a number of patentable classes or environments, including any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof. Thus, various aspects of the present application may be implemented entirely in hardware, entirely in software (including firmware, resident software, micro-code, etc.), or may be combined in a software and hardware implementation, which are all generally referred to herein as a "unit". A module or "system". Furthermore, aspects of the present application may take the form of a computer program product having computer-readable program code embodied in one or more computer-readable media.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated signal may take any of a variety of forms, including electro-magnetic, optical, and the like, or any suitable combination. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable signal medium may be transmitted using any appropriate medium, including wireless, wireline, optical fiber cable, RF, or the like, or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present application may be written in a combination of one or more programming languages, including an object oriented programming language such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C, or the like. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider) or provided in a cloud computing environment or as a service, such as a software as a service (SaaS).
Furthermore, the order in which the elements or sequences of processes are recited, or the use of numbers, letters, or other designations therefor, is not intended to limit the claimed processes and methods to any order except as may be specified in the claims. While the foregoing disclosure discusses, by way of various examples, various useful embodiments of the present disclosure that are presently considered to be illustrative, it is to be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover modifications and equivalent arrangements that are within the spirit and scope of the disclosed embodiments. For example, although an implementation of the various components described above may be embodied in a hardware device, it may also be implemented as a pure software solution, e.g., installed on an existing server or mobile device.
Similarly, it should be appreciated that in the foregoing description of embodiments of the disclosure, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of one or more of the same. Various embodiments are described. This method of disclosure, however, is not to be interpreted as reflecting an intention that the claimed subject matter requires more features than are expressly recited in each claim. Rather, claimed subject matter may lie in less than all features of a single foregoing disclosed embodiment.
Claims (10)
1. A method of marking a detection region of an ionization chamber, the method comprising:
acquiring position information of one or more ionization chambers in a scanning device, the scanning device being used for scanning an object;
determining a detection region of at least one of the one or more ionization chambers based on the position information of the one or more ionization chambers;
determining projection data of a projection device, the projection data comprising image data corresponding to an detection region of the at least one ionization chamber; and
control the projection device to project the projection data onto the object.
2. The method of claim 1, wherein the projection data further includes image data corresponding to a region of interest of the object to be scanned.
3. The method of claim 1, wherein the method further comprises:
acquiring a reference image of the object, wherein the reference image is shot by a camera after the projection equipment projects the projection data onto the object to be scanned;
identifying a first region in a reference image, the first region corresponding to a region of interest of the object to be scanned;
identifying a second region in the reference image, the second region corresponding to a detection region of the at least one ionization chamber projected onto the object; and
determining, based on the first and second regions, whether one or more candidate ionization chambers are included in the at least one ionization chamber, wherein detection regions of the one or more candidate ionization chambers are covered by a region of interest of the subject to be scanned.
4. The method of claim 3, wherein the method further comprises:
in response to determining that no candidate ionization chambers are included in the at least one ionization chamber, causing a terminal device to generate a prompt message.
5. The method of claim 3, wherein in response to determining that no candidate ionization chamber is included in the at least one ionization chamber, the method further comprises:
moving one or more reference ionization chambers of the at least one ionization chamber relative to a region of interest of the subject.
6. The method of claim 3, wherein the method further comprises:
in response to determining that one or more candidate ionization chambers are included in the at least one ionization chamber, one or more target ionization chambers are selected from the one or more candidate ionization chambers that will be operated during scanning of the object.
7. The method of claim 1, wherein the method further comprises:
obtaining identification information of one or more target ionization chambers selected from the at least one ionization chamber;
based on the identification information, adjusting the projection data to make a first feature value of image data of detection regions corresponding to the one or more target ionization chambers different from a second feature value of image data of detection regions corresponding to other ionization chambers in the projection data, wherein the first feature value and the second feature value correspond to the same image feature.
8. A system for marking a detection region of an ionization chamber, comprising:
the device comprises an acquisition module, a processing module and a control module, wherein the acquisition module is used for acquiring the position information of one or more ionization chambers in the scanning equipment;
a detection region determination module for determining a detection region of at least one of the one or more ionization chambers based on the position information of the one or more ionization chambers;
a projection data determination module to determine projection data of a projection device, the projection data including image data corresponding to a detection region of the at least one ionization chamber; and
and the control module is used for controlling the projection equipment to project the projection data onto the object to be scanned.
9. A computer-readable storage medium, wherein the storage medium stores computer instructions, and wherein when the computer instructions in the storage medium are read by a computer, the computer performs the method of any one of claims 1-7.
10. An apparatus for marking the detection region of an ionization chamber, characterized in that it comprises a program for marking the detection region of an ionization chamber, said program implementing the method according to any one of claims 1 to 7.
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| EP21852413.0A EP4176812A4 (en) | 2020-08-03 | 2021-08-03 | Medical device control method and system |
| PCT/CN2021/110409 WO2022028439A1 (en) | 2020-08-03 | 2021-08-03 | Medical device control method and system |
| US18/163,923 US20230172577A1 (en) | 2020-08-03 | 2023-02-03 | Methods and systems for controlling medical devices |
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| CN202011114737.8A CN112071405A (en) | 2020-10-18 | 2020-10-18 | Method, system and device for marking detection area of ionization chamber |
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| WO2022028439A1 (en) * | 2020-08-03 | 2022-02-10 | 上海联影医疗科技股份有限公司 | Medical device control method and system |
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