CN115738099A

CN115738099A - Dose verification method and system

Info

Publication number: CN115738099A
Application number: CN202111031794.4A
Authority: CN
Inventors: 廖璨; 张志都; 孙步梁
Original assignee: Shanghai United Imaging Healthcare Co Ltd
Current assignee: Shanghai United Imaging Healthcare Co Ltd
Priority date: 2021-09-03
Filing date: 2021-09-03
Publication date: 2023-03-07

Abstract

The embodiment of the specification provides a dose verification method and a dose verification system. The dose verification system comprises: a storage device to store instructions; at least one processor in communication with the storage device, wherein the at least one processor, when executing the instructions, is configured to: acquiring a treatment portal image and a respiratory signal corresponding to a target object which are synchronously acquired; dividing the therapeutic radiation image into a plurality of groups of sub-images based on the respiratory signal, wherein the plurality of groups of sub-images respectively correspond to a plurality of respiratory time phases of the respiratory signal; for each group of the multiple groups of sub-images, acquiring a reference sub-image corresponding to the same breathing phase of the group of sub-images; determining a sub-dose field based on the group sub-image and the reference sub-image; determining a global dose field corresponding to the therapeutic radiation field image based on a plurality of sub-dose fields respectively corresponding to the plurality of groups of sub-images; and carrying out dose verification based on the global dose field corresponding to the treatment portal image.

Description

Dose verification method and system

Technical Field

The present disclosure relates to the field of medical technology, and in particular, to a method and a system for dose verification of medical treatment.

Background

Radiation therapy is one method of treating malignant tumors and other diseases. After radiation treatment, the radiation dose actually applied to the focal region (e.g., tumor region) needs to be verified to confirm whether the treatment process is consistent with the predetermined treatment plan, so as to help understanding the treatment process and the formulation of the subsequent treatment plan. The accuracy of the dose verification results can affect the accuracy of the overall radiotherapy plan formulation, and further affect the treatment results. Accordingly, it is desirable to provide a dose verification method and system for medical treatment for accurate dose verification.

Disclosure of Invention

One aspect of the present description provides a dose verification system. The system comprises: a storage device to store instructions; at least one processor in communication with the storage device, wherein the at least one processor, when executing the instructions, is configured to: acquiring a treatment portal image and a respiratory signal corresponding to a target object which are synchronously acquired; dividing the treatment portal image into a plurality of groups of sub-images based on the respiration signal, wherein the plurality of groups of sub-images respectively correspond to a plurality of respiration time phases of the respiration signal; for each of the plurality of groups of sub-images, acquiring a reference sub-image corresponding to the same breathing phase as the group of sub-images; determining a sub-dose field based on the set of sub-images and the reference sub-image; and determining a global dose field corresponding to the therapeutic radiation field image based on a plurality of sub-dose fields respectively corresponding to the plurality of groups of sub-images.

Another aspect of the present description provides a dose verification system. The system comprises: the data acquisition module is used for acquiring synchronously acquired treatment portal images and respiratory signals corresponding to the target object; the box dividing module is used for dividing the treatment radiation image into a plurality of groups of sub-images based on the respiratory signal, and the plurality of groups of sub-images respectively correspond to a plurality of respiratory time phases of the respiratory signal; a reconstruction module to: for each of the plurality of groups of sub-images, acquiring a reference sub-image corresponding to the same respiratory phase as the sub-image group; and determining a sub-dose field based on the set of sub-images and the reference sub-image; and the determining module is used for determining a global dose field corresponding to the therapeutic portal image based on a plurality of sub-dose fields respectively corresponding to the plurality of groups of sub-images.

Another aspect of the present specification provides a computer apparatus comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the computer program, when executed by the processor, is configured to cause the computer apparatus to perform a method comprising: acquiring a treatment portal image and a respiratory signal corresponding to a target object which are synchronously acquired; dividing the treatment radiation image into a plurality of groups of sub-images based on the respiration signal, wherein the plurality of groups of sub-images respectively correspond to a plurality of respiration time phases of the respiration signal; for each of the plurality of groups of sub-images, acquiring a reference sub-image corresponding to the same breathing phase as the group of sub-images; determining a sub-dose field based on the set of sub-images and the reference sub-image; and determining a global dose field corresponding to the therapeutic radiation field image based on a plurality of sub-dose fields respectively corresponding to the plurality of groups of sub-images.

Another aspect of the present specification provides a computer-readable storage medium storing computer instructions which, when read by a computer, cause the computer to perform a method comprising: acquiring a treatment portal image and a respiratory signal corresponding to a target object which are synchronously acquired; dividing the treatment radiation image into a plurality of groups of sub-images based on the respiration signal, wherein the plurality of groups of sub-images respectively correspond to a plurality of respiration time phases of the respiration signal; for each of the plurality of groups of sub-images, acquiring a reference sub-image corresponding to the same breathing phase as the group of sub-images; determining a sub-dose field based on the set of sub-images and the reference sub-image; and determining a global dose field corresponding to the therapeutic radiation field image based on a plurality of sub-dose fields respectively corresponding to the plurality of groups of sub-images.

In some embodiments, said dividing said therapeutic portal image into a plurality of sets of sub-images based on said respiratory signal comprises: based on the time information of the treatment portal image and the respiratory signal, synchronously processing the treatment portal image and the respiratory signal; dividing at least a portion of the respiration signal into the plurality of respiration phases based on a signal period of the respiration signal; and dividing the treatment portal image subjected to synchronous processing into a plurality of groups of sub-images based on the plurality of respiratory phases.

In some embodiments, the number of the plurality of respiratory phases or the interval between adjacent respiratory phases is related to the respiratory amplitude or period of the target subject.

In some embodiments, the reference sub-images are derived by dividing reference images including planning simulation images, pre-treatment images acquired before treatment, or positioning images acquired during treatment.

In some embodiments, the determining a global dose field corresponding to the therapeutic portal image based on a plurality of sub-dose fields respectively corresponding to the plurality of sets of sub-images includes: and superposing the plurality of sub-dose fields, and determining the global dose field corresponding to the treatment portal image.

In some embodiments, the determining a global dose field corresponding to the therapeutic portal image based on a plurality of sub-dose fields respectively corresponding to the plurality of sets of sub-images includes: for each of the plurality of sub-dose fields, performing deformation registration on a reference sub-image corresponding to the sub-dose field and a preset image to determine a deformation field; determining a deformation sub-dose field based on the sub-dose field and the deformation field; and superposing the plurality of deformation sub-dose fields to determine the global dose field corresponding to the treatment portal image.

In some embodiments, the preset image comprises a planning image of the target object or one of the plurality of reference sub-images.

In some embodiments, the method further comprises: and comparing the global dose field corresponding to the treatment radiation field image with a plan dose field to obtain a dose verification result.

Drawings

The present description will be further explained by way of exemplary embodiments, which will be described in detail by way of the accompanying drawings. These embodiments are not intended to be limiting, and in these embodiments like numerals are used to indicate like structures, wherein:

FIG. 1 is a schematic diagram of an exemplary application scenario of a dose verification system according to some embodiments herein;

FIG. 2 is an exemplary block diagram of a dose verification system according to some embodiments herein;

FIG. 3 is an exemplary flow chart of a dose verification method according to some embodiments described herein;

FIG. 4 is an exemplary flow diagram of treatment portal image segmentation, according to some embodiments described herein;

FIG. 5 is a schematic illustration of an exemplary respiratory phase partition, shown in accordance with some embodiments of the present description;

FIG. 6 is a schematic diagram illustrating an exemplary determination of a global dose field according to some embodiments herein;

FIG. 7 is a schematic diagram illustrating an exemplary determination of a global dose field according to further embodiments herein;

fig. 8 is an exemplary schematic diagram of a dose verification method according to some embodiments described herein.

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", "apparatus", "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.

Generally, the words "module," "unit," or "block" as used herein refers to logic embodied in hardware or firmware, or a collection of software instructions. The modules, units, or blocks described herein may be implemented as software and/or hardware and may be stored in any type of non-transitory computer-readable medium or another storage device. In some embodiments, software modules/units/blocks may be compiled and linked into an executable program. It should be understood that software modules may be invoked from other modules/units/blocks or from themselves, and/or may be invoked in response to detected events or interrupts. The software modules/units/blocks configured for execution on the computing device may be provided on a computer readable medium (e.g., a compact disc, digital video disc, flash drive, magnetic disk, or any other tangible medium) or downloaded as digital (which may be initially stored in a compressed or installable format requiring installation, decompression, or decryption prior to execution). The software code herein may be stored in part or in whole in a memory device of a computing device performing the operations and employed in the operations of the computing device. The software instructions may be embedded in firmware, such as an EPROM. It will also be appreciated that hardware modules/units/blocks may be included in connected logic components, such as gates and flip-flops, and/or may include programmable units, such as programmable gate arrays or processors. The modules/units/blocks or computing device functions described herein may be implemented as software modules/units/blocks, but may be represented in hardware or firmware. Generally, the modules/units/blocks described herein refer to logical modules/units/blocks, which may be combined with other modules/units/blocks or divided into sub-modules/sub-units/sub-blocks, even though they are physical organizations or memory devices. The description may apply to the system, the engine, or a portion thereof.

It will be understood that when an element, engine, module or block is referred to as being "on," "connected to" or "coupled to" another element, engine, module or block, it can be directly on, connected or coupled to or in communication with the other element, engine, module or block, or intervening elements, engines, modules or blocks may be present, unless the context clearly dictates otherwise. In this specification, the term "and/or" may include any one or more of the associated listed items or combinations thereof.

In this specification, the terms "radiation therapy," "radiotherapy," and "treatment" are used interchangeably to refer to the treatment of a patient. The terms "target subject," "patient," "treatment area," "tumor" are used interchangeably to refer to the subject and/or area of treatment. The terms "binning," "grouping," and "partitioning" are used interchangeably to refer to grouping or segmenting related data or images. The terms "region," "location," and "treatment region" interchangeably refer to the location of the treatment region shown in the image or the actual location of the treatment region within or on the patient's body.

These and other features and characteristics of the present specification, as well as the methods of operation and functions of the related elements of structure and the combination of parts and economies of manufacture, will become more apparent upon consideration of the following description of the drawings, all of which form a part of this specification. It is to be understood, however, that the drawings are designed solely for the purposes of illustration and description and are not intended as a definition of the limits of the specification. It should be understood that the drawings are not to scale.

As used in this specification and the appended claims, the terms "a," "an," "the," and/or "the" are not to be taken in a singular sense, but rather are to be construed to include a plural sense 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.

Flow charts are used in this specification to illustrate operations performed by systems according to embodiments of the specification, with relevant descriptions being provided to facilitate a better understanding of medical imaging methods and/or systems. 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 steps may be processed in reverse order or simultaneously. Meanwhile, other operations may be added to or removed from these processes.

The present description provides systems and assemblies for non-invasive imaging and/or therapy, e.g., for disease diagnosis, treatment, or research purposes. In some embodiments, the system may include a Radiation Therapy (RT) system, a Computed Tomography (CT) system, an Emission Computed Tomography (ECT) system, an X-ray imaging system, a Positron Emission Tomography (PET) system, a Magnetic Resonance Imaging (MRI) system, or the like, or any combination thereof. For illustrative purposes, this specification describes systems and methods for dose verification. In this specification, the term "image" may refer to a 2D image, a 3D image, or a 4D image. In some embodiments, the term "image" may refer to an image of a region of a patient (e.g., a region of interest (ROI)). The images may be Electronic Portal Imaging Device (EPID) images, CT images, fluoroscopic images, ultrasound images, PET images, MR images, and the like.

The embodiment of the specification discloses a dose verification method for medical treatment, which can divide a treatment radiation field image (for example, an EPID image) into a plurality of groups of sub-images based on respiratory signals synchronously acquired in a treatment process, acquire a plurality of reference sub-images (for example, a plurality of reference sub-images obtained by dividing a planning simulation image (for example, a 4DCT image) or a pre-treatment image (for example, a 4DCT image) acquired before treatment) corresponding to the plurality of groups of sub-images in the same respiratory phase respectively, determine corresponding sub-dose fields respectively based on the plurality of groups of sub-images and the plurality of reference sub-images, and determine a global dose field based on the plurality of sub-dose fields.

By the embodiment of the specification, the treatment portal image can be divided into a plurality of sub-image groups based on the synchronously acquired respiratory signals, the reference sub-images corresponding to the same respiratory phase are acquired (obtained by dividing the reference images), and then the dose verification is performed based on the sub-image groups and the reference sub-images. That is, the treatment field image and the reference image each include time information, sub-dose verification is performed based on the treatment sub-image group and the reference sub-image corresponding to the same respiratory phase, and the global dose is determined based on a plurality of sub-doses. Accordingly, compared with the dose verification based on the reference image without time information, the influence of respiratory motion can be avoided or reduced, the accuracy of the dose verification is improved, and accurate reference can be provided for more accurately understanding the treatment process or making a better treatment scheme.

Fig. 1 is a schematic diagram of an exemplary application scenario of a dose verification system according to some embodiments of the present description.

As shown in fig. 1, in some embodiments, the dose verification system 100 may include a medical device 110, a respiratory signal acquisition device 112, a processing device 120, a terminal 130, a storage device 140, and a network 150. In some embodiments, the various components in the dose verification system 100 may be interconnected by a network 150 or may not be directly connected by the network 150. For example, the medical device 110 and the terminal 130 may be connected through the network 150. As another example, the medical device 110 and the processing device 120 may be connected via the network 150 or directly. Also for example, the processing device 120 and the terminal 130 may be connected through the network 150 or directly.

The medical device 110 may acquire images of and/or perform a treatment plan on a target object. For example, the medical device 110 may perform radiation therapy on a lesion region such as a tumor of the target object. As another example, the medical device 110 may perform CT imaging of the target object. In some embodiments, the target object may be biological or non-biological. For example, the target object may include a patient, a man-made object, and the like. In some embodiments, the target object may include a particular part of the body, such as the head, chest, abdomen, etc., or any combination thereof. In some embodiments, the target object may include a specific organ, such as a heart, esophagus, trachea, bronchi, stomach, gallbladder, small intestine, colon, bladder, ureter, uterus, fallopian tube, etc., or any combination thereof. In some embodiments, the target object may include a region of interest (ROI), such as a tumor, a node, or the like.

In some embodiments, the medical device 110 may include one or more medical devices. In some embodiments, one of the one or more medical devices may be used for both imaging and therapy. In some embodiments, the imaging and therapy processes may also be performed by a plurality of different medical devices.

In some embodiments, the medical device 110 may include a radiotherapy device that may deliver radiation therapy to at least a portion of the target object. In some embodiments, the radiotherapy apparatus may comprise a single modality device, such as an X-ray treatment device, a Co-60 teletherapy device, a medical electron accelerator, or the like. In some embodiments, the radiotherapy apparatus may comprise a multi-modality (e.g., bimodal) device. In some embodiments, the multi-modality apparatus may acquire medical images relating to at least a portion of the target subject and deliver radiation therapy to at least a portion of the target subject. For example, the radiotherapy apparatus may comprise an Image Guided Radiation Therapy (IGRT) device, e.g. a CT Guided radiotherapy device, an MRI Guided radiotherapy device.

In some embodiments, the medical device 110 may include a radiation therapy component, such as a treatment head, a gantry head coupled to the treatment head, and the like. In some embodiments, the treatment head may move with the movement (e.g., rotation) of the gantry. In some embodiments, the medical device 110 may include a scanning bed, a radiation source, a detector, and the like. The scanning bed may be used to position a target object for scanning. The radiation source may emit radiation (e.g., X-ray photons, gamma ray photons) toward the target object. The detector may detect a portion of the radiation emitted by the radiation source. In some embodiments, the medical device 110 may include a radiotherapy component and an imaging component.

In some embodiments, the medical device 110 may include a radiotherapy-assist device, such as an Electronic Portal Imaging Devices (EPID). The electronic portal imaging device can generate portal images of the target object before, during and/or after fractionated treatment.

In some embodiments, the medical device 110 may include an imaging device. For example, the imaging device may include one or a combination of X-ray devices, computed tomography imaging devices (CT), three-dimensional (3D) CT, four-dimensional (4D) CT, ultrasound imaging components, fluoroscopy imaging components, magnetic Resonance Imaging (MRI) devices, single Photon Emission Computed Tomography (SPECT) devices, positron Emission Tomography (PET) devices, and the like. In some embodiments, the imaging device may be a CBCT (Cone Beam Computed Tomography) imaging device. The CBCT imaging apparatus may perform CBCT scanning of a target object by emitting cone-shaped X-rays toward the target object. In some embodiments, the imaging device may be a multislice CT (MSCT) imaging device. The MSCT imaging apparatus may perform MSCT scanning of a target object. In some embodiments, the imaging device may be an integrated CT imaging device that may perform both CBCT and MSCT scans. The imaging devices provided above are for illustrative purposes only and are not intended to limit the scope of the present application.

The respiratory signal acquisition device 112 may be used to acquire a respiratory signal of a target subject. In some embodiments, respiration signal acquisition device 112 may comprise a contact respiration signal acquisition device and/or a non-contact respiration signal acquisition device. The contact type respiratory signal acquisition equipment can calculate respiratory signals through electrocardio chest leads or acquire the respiratory signals through a carbon dioxide sensor. The non-contact respiratory signal acquisition device may acquire respiratory signals by means of biological radar, sensor-based special mattress-type, optical signal acquisition, etc., or a combination thereof. In some embodiments, the respiratory signal acquisition device 112 may acquire the respiratory signal in a variety of ways. The collection means may include a real-time image-based feature recognition technique, an optical body surface imaging technique, an infrared marking technique, a respiratory banding technique, or the like, or any combination thereof.

In some embodiments, the respiratory signal acquisition device 112 may also process the acquired respiratory signals, e.g., filter processing, noise reduction processing, smoothing processing, etc.

In some embodiments, the respiratory signal acquired by the respiratory signal acquisition device 112 may be a respiratory signal curve (e.g., a sine wave or cosine wave curve) with time on the abscissa and respiratory amplitude on the ordinate. In some embodiments, the respiratory signal acquired by respiratory signal acquisition device 112 may include one or more respiratory cycles. In some embodiments, a trough in the respiration signal curve may correspond to the end of an expiratory phase and a peak may correspond to the end of an inspiratory phase. In some embodiments, the respiratory signal acquisition device 112 may acquire the respiratory signals of the target subject before, during, and after treatment. In some embodiments, the respiratory signal acquisition device 112 may acquire respiratory signals synchronously during the course of a treatment.

In some embodiments, the respiratory signal acquisition device 112 may be part of the medical device 110, or a device separate from the medical device 110.

The processing device 120 can process data and/or information related to the dose verification system 100. For example, the processing device 120 may acquire treatment field images acquired during treatment from the medical device 110 and divide the treatment field images into a plurality of sets of sub-images based on the synchronously acquired respiratory signals. For another example, the processing device 120 may acquire a plurality of reference sub-images corresponding to the same respiratory phase as the plurality of sets of sub-images, respectively, and perform dose verification based on the plurality of sets of sub-images and the plurality of reference sub-images. 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. For example, processing device 120 may access information and/or data from medical device 110, respiratory signal acquisition device 112, terminal 130, and/or storage device 140 via network 150. As another example, processing device 120 may be directly connected to medical device 110, respiratory signal acquisition device 112, terminal 130, and/or storage device 140 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, an inter-cloud, a multi-cloud, and the like, or any combination thereof.

The terminal 130 may include a mobile device 131, a tablet computer 132, a notebook computer 133, and the like, or any combination thereof. In some embodiments, the terminal 130 may interact with other components in the dose verification system 100 through the network 150. For example, the terminal 130 may send one or more control instructions to the medical device 110 via the network 150 to control the medical device 110 to scan the target object according to the instructions. For another example, the terminal 130 may further receive the treatment portal image processed by the processing device 120 through the network 150, and display the treatment portal image for the analysis and confirmation of the operator. In some embodiments, mobile device 131 may include smart home devices, wearable devices, mobile devices, virtual reality devices, augmented reality devicesReal devices, and the like, or any combination thereof. In some embodiments, the mobile device may comprise a mobile phone, a Personal Digital Assistant (PDA), a gaming device, a navigation device, a POS device, a laptop, a tablet, a desktop, or the like, or any combination thereof. In some embodiments, the virtual reality device and/or the augmented reality device may include a virtual reality helmet, virtual reality glasses, a virtual reality patch, an augmented reality helmet, augmented reality glasses, an augmented reality patch, and the like, or any combination thereof. For example, the virtual reality device and/or augmented reality device may include Google Glass ^TM 、Oculus Rift ^TM 、HoloLens ^TM Or Gear VR ^TM And the like.

In some embodiments, the terminal 130 may be part of the processing device 120. In some embodiments, the terminal 130 may be integrated with the processing device 120 as an operating console for the medical device 110. For example, a user/operator of the dose verification system 100 (e.g., a doctor or nurse) may control the operation of the medical device 110 via the console, e.g., to treat a target subject, etc.

Storage device 140 may store data (e.g., therapy data for a target subject), instructions, and/or any other information. In some embodiments, storage device 140 may store data acquired from medical device 110, respiratory signal acquisition device 112, processing device 120, and/or terminal 130. For example, storage device 140 may store treatment plans acquired from medical device 110, scan data and/or treatment data for a target object, and/or the like. In some embodiments, storage device 140 may store data and/or instructions that processing device 120 may execute or use to perform the exemplary methods described herein.

In some embodiments, the storage device 140 may include one or a combination of mass storage, removable storage, volatile read-write memory, read-only memory (ROM), and the like. Mass storage may include magnetic disks, optical disks, solid state drives, removable storage, and the like. The removable memory may include a flash drive, floppy disk, optical disk, memory card, ZIP disk, magnetic tape, or the like. The volatile read and write memory may include Random Access Memory (RAM). The RAM may include Dynamic Random Access Memory (DRAM), double data rate synchronous dynamic random access memory (DDR-SDRAM), static Random Access Memory (SRAM), silicon controlled random access memory (T-RAM), zero capacitance random access memory (Z-RAM), and the like. The ROM may include mask read-only memory (MROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM), digital versatile discs, and the like. In some embodiments, the storage device 140 may be implemented by a cloud platform as described in this specification.

In some embodiments, the storage device 140 may be connected to a network 150 to enable communication with one or more components (e.g., the respiratory signal acquisition device 112, the processing device 120, the terminal 130) in the dose verification system 100. One or more components in the dose verification system 100 may read data or instructions in the storage device 140 over the network 150. In some embodiments, the storage device 140 may be part of the processing device 120, or may be separate and connected directly or indirectly to the processing device 120.

Network 150 may include any suitable network capable of facilitating information and/or data exchange for dose verification system 100. In some embodiments, one or more components of the dose verification system 100 (e.g., the medical device 110, the respiratory signal acquisition device 112, the processing device 120, the terminal 130, the storage device 140) may exchange information and/or data with one or more components of the dose verification system 100 over the network 150. For example, the processing device 120 may obtain treatment data from the medical device 110 via the network 150. In some embodiments, the network 150 may include one or a combination of a public network (e.g., the internet), a private network (e.g., a Local Area Network (LAN), a Wide Area Network (WAN)), etc.), a wired network (e.g., ethernet), a wireless network (e.g., an 802.11 network, a wireless Wi-Fi network, etc.), a cellular network (e.g., a Long Term Evolution (LTE) network), a frame relay network, a Virtual Private Network (VPN), a satellite network, a telephone network, a router, a hub, a server computer, etc. For example, network 150 may include a wired networkOptical fiber network, telecommunications network, local area network, wireless Local Area Network (WLAN), metropolitan Area Network (MAN), public Switched Telephone Network (PSTN), bluetooth ^TM Network, zigBee ^TM Network, near Field Communication (NFC) network, and the like. In some embodiments, network 150 may include one or more network access points. For example, the network 150 may include wired and/or wireless network access points, such as base stations and/or internet exchange points, through which one or more components of the dose verification system 100 may connect to the network 150 to exchange data and/or information.

It should be noted that the foregoing description is provided for illustrative purposes only, and is not intended to limit the scope of the present description. Many variations and modifications may be made by one of ordinary skill in the art in light of the teachings of this specification. 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, a display device may be further included in the system 100 for outputting and displaying the image processed by the processing device 120. For another example, the medical device 110, the respiratory signal acquisition device 112, the processing device 120, and the terminal 130 may share one storage device 140, or may have respective storage devices. However, such changes and modifications do not depart from the scope of the present specification.

Fig. 2 is an exemplary block diagram of a dose verification system according to some embodiments herein.

As shown in fig. 2, in some embodiments, the dose verification system 200 may include a data acquisition module 210, a binning module 220, a reconstruction module 230, and a determination module 240. In some embodiments, one or more modules in the dose verification system 200 may be interconnected. The connection may be wireless or wired. At least a portion of the dose verification system 200 may be implemented on the processing device 120 or the terminal 130 as shown in fig. 1.

The data acquisition module 210 may be used to acquire data of a target object. In some embodiments, the data acquisition module 210 may acquire the synchronously acquired therapeutic portal image and respiratory signal corresponding to the target object. In some embodiments, the data acquisition module 210 may be used to acquire a reference image of the target object. In some embodiments, the reference images may include planning simulation images (e.g., 4DCT images), pre-treatment images acquired before treatment progress (e.g., 4DCT images), or scout images acquired during treatment (e.g., 4DCT images). In some embodiments, the data acquisition module 210 may be used to acquire a reference image and a respiration signal that are acquired simultaneously for the target subject. For more details on obtaining the treatment portal image, the respiration signal, and the reference image of the target object, reference may be made to fig. 3 and the related description thereof, which are not repeated herein.

The binning module 220 may be configured to divide the treatment portal image into a plurality of sub-images based on the respiratory signal, where the plurality of sub-images respectively correspond to a plurality of respiratory phases of the respiratory signal. In some embodiments, the binning module 220 may perform synchronous processing on the treatment portal image and the respiratory signal based on the time information of the treatment portal image and the respiratory signal; dividing at least a portion of the respiratory signal into a plurality of respiratory phases based on a signal period of the respiratory signal; and dividing the treatment portal image after synchronous processing into a plurality of groups of sub-images based on a plurality of respiratory phases. In some embodiments, the number of the plurality of respiratory phases or the interval between adjacent respiratory phases is related to the respiratory amplitude or period of the target subject. In some embodiments, the binning module 220 may be configured to divide the reference image into multiple reference sub-images (or multiple sets of reference sub-images) based on the respiration signal. For more details, reference may be made to fig. 3-5 and the related description thereof, which are not repeated herein.

The reconstruction module 230 may be used for dose reconstruction. In some embodiments, for each of the plurality of sets of sub-images, the reconstruction module 230 may be configured to acquire a reference sub-image corresponding to the same respiratory phase as the set of sub-images and to determine the sub-dose field based on the set of sub-images and the reference sub-image. In some embodiments, the reference sub-images may be derived by dividing the reference images, which may include planning simulation images or pre-treatment images acquired before treatment is performed. For more details, reference may be made to fig. 3 and its related description, which are not repeated herein. In some embodiments, the reconstruction module 230 may further include a matching unit and a reconstruction unit (not shown in the figures). The matching unit may be adapted for acquiring reference sub-images corresponding to the same breathing phase as the set of sub-images, and the reconstruction unit may be adapted for determining the sub-dose field based on the set of sub-images and the reference sub-images.

The determination module 240 can be used to determine a global dose field corresponding to the treatment portal image. In some embodiments, the determining module 240 may be configured to determine the global dose field corresponding to the treatment portal image based on a plurality of sub-dose fields respectively corresponding to the plurality of groups of sub-images. In some embodiments, the determining module 240 may superimpose the plurality of sub-dose fields to determine a global dose field corresponding to the treatment portal image. In some embodiments, for each of the plurality of sub-dose fields, the determining module 240 may perform deformation registration on the reference sub-image corresponding to the sub-dose field and the preset image, determine a deformation field, and determine a deformation sub-dose field based on the sub-dose field and the deformation field; and overlapping the plurality of deformation sub-dose fields to determine a global dose field corresponding to the treatment field image. In some embodiments, the preset image may comprise a planning image of the target object or one of the plurality of reference sub-images. In some embodiments, the determination module 240 may further include a registration unit, a determination unit, and an overlay unit (not shown in the figures). The registration unit can be used for performing deformation registration on the reference sub-image corresponding to the sub-dose field and the preset image to determine a deformation field; the determining unit may be configured to determine the deformation sub-dose field based on the sub-dose field and the deformation field; the superposition unit can be used for superposing the plurality of deformable sub-dose fields to determine the global dose field corresponding to the treatment field image. For more details, reference may be made to fig. 3, fig. 6, and fig. 7 and their related descriptions, which are not repeated herein.

It should be noted that the above description of the dose verification system 200 is for illustrative purposes only and is not intended to limit the scope of the present description. Various modifications and adaptations may occur to those skilled in the art in light of this specification. However, such changes and modifications do not depart from the scope of the present specification. For example, one or more of the modules of the dose verification system 200 described above may be omitted or integrated into a single module. As another example, the dose verification system 200 may include one or more additional modules, such as a storage module for data storage, and the like.

Fig. 3 is an exemplary flow chart of a dose verification method according to some embodiments described herein.

In some embodiments, the process 300 may be performed by the processing device 120 or the dose verification system 200. For example, the flow 300 may be implemented as instructions (e.g., an application) and stored in a memory, for example, external to the storage device 140 or dose verification system (e.g., the dose verification system 100 or the dose verification system 200) and accessible by the processing device 120 or the dose verification system. The processing device 120 or the dose verification system 200 may execute the instructions and, upon execution, may be configured to perform the flow 300. The operational schematic of flow 300 presented below is illustrative. In some embodiments, the process may be accomplished with one or more additional operations not described and/or one or more operations not discussed. Additionally, the order in which the operations of flow 300 are illustrated in FIG. 3 and described below is not intended to be limiting.

And 310, acquiring a treatment radiation field image and a respiratory signal corresponding to the target object which are acquired synchronously. In some embodiments, step 310 may be performed by the processing device 120 or the data acquisition module 210.

The target object may include an object that is imaged or treated by a medical device (e.g., medical device 110). In some embodiments, the target object may be a patient or a part of a patient's body, e.g. some organ or tissue of the body. In some embodiments, the target object may be a treatment region, for example, a tumor region of the chest or abdomen.

The treatment portal image may be an image acquired during treatment of the target object. In some embodiments, the treatment portal image may include a 2D image, a 3D image, or a 4D image. In some embodiments, the treatment portal image may include temporal information (e.g., temporal information of image acquisition). Accordingly, a treatment portal image may be understood as a collection of multiple images corresponding to multiple points in time or time periods.

In some embodiments, the treatment portal image may include an Electronic Portal Imaging Device (EPID) image acquired by an EPID. The EPID image may be a set of images consisting of a series of 2D images, which contain information on the time of image acquisition.

In some embodiments, the EPID may obtain an EPID image based on projection data acquired during the radiological session. In some embodiments, the EPID may obtain an image based on all projection data acquired during a time period corresponding to a single radiation session. Accordingly, the EPID image may include a collection of multiple 2D images that respectively correspond to multiple radiology tasks (or time periods corresponding to multiple radiology tasks). In some embodiments, the EPID may divide the time period corresponding to a single radiation task into a plurality of consecutive time periods, and obtain a plurality of images (which may be referred to as a set of images) based on projection data corresponding to the plurality of consecutive time periods, respectively. Accordingly, the EPID image may include a collection of sets of images that respectively correspond to multiple radiological sessions (or time periods corresponding to multiple radiological sessions).

In some embodiments, during treatment of a target subject, a treatment portal image and a respiratory signal (also referred to as a first respiratory signal) of the target subject may be acquired simultaneously. For example only, during treatment of the target object, the respiratory signal acquisition device 112 may acquire the respiratory signal of the current target object in real time, while the medical device 110 also acquires the treatment field image of the current target object in real time.

In some embodiments, the respiratory signal may include the respiratory signal of the target subject over a complete treatment session. In some embodiments, the respiratory signal may include a respiratory signal for a portion of a complete treatment session.

Step 320, dividing the therapeutic portal image into a plurality of groups of sub-images based on the respiration signal. In some embodiments, step 320 may be performed by the processing device 120 or the binning module 220.

In some embodiments, the plurality of sets of sub-images may respectively correspond to a plurality of respiratory phases of the respiratory signal.

In some embodiments, as described above, the treatment portal image and the respiration signal are acquired synchronously during the treatment process, and accordingly, the processing device 120 (or the binning module 220) may divide the treatment portal image into a plurality of sets of sub-images based on the time information of the treatment portal image and the respiration signal. For more details on dividing the treatment field image, reference may be made to fig. 4 and fig. 5 and the related description thereof, which are not repeated herein.

Step 330, a plurality of reference sub-images corresponding to the same breathing time phase with the plurality of sub-images are obtained. In some embodiments, step 330 may be performed by the processing device 120 or the binning module 220.

In some embodiments, the reference sub-image may be obtained by dividing the reference image. In some embodiments, the reference images may include planning simulation images, pre-treatment images acquired before treatment is performed, or positioning images acquired during treatment. In some embodiments, the plan simulation image may refer to an image acquired before treatment to determine patient positioning information and/or a treatment plan. In some embodiments, the planning simulation images may be acquired some time before treatment (e.g., 3 days, 5 days, 10 days, 15 days, etc.). In some embodiments, the pre-treatment image may refer to an image acquired before treatment to determine the current state of the patient, e.g., whether a change in the tumor region has occurred. In some embodiments, the pre-treatment image may be an image acquired prior to treatment on the day of treatment. In some embodiments, the pre-treatment images may be acquired a short time before treatment is performed (e.g., one minute, three minutes, five minutes, etc. before treatment is performed). In some embodiments, scout images may refer to images acquired during treatment to determine the real-time status of the patient, e.g., whether the patient's position has changed, whether the tumor region has changed, etc. In some embodiments, the scout image may be acquired simultaneously with the treatment portal image throughout the treatment process. In some embodiments, the scout images may be acquired during one of the periods during the treatment.

In some embodiments, the reference image may include a 2D image, a 3D image, a 4D image, and the like. In some embodiments, the reference image may comprise a 4DCT image.

In some embodiments, the processing device 120 may acquire the patient's respiratory signal (which may also be referred to as a second respiratory signal) and the reference image (e.g., a 4DCT image) simultaneously. In some embodiments, the processing device 120 may divide the reference image into a plurality of reference sub-images (or sets of reference sub-images) based on the second respiration signal. In some embodiments, the processing device 120 may divide the reference image into a plurality of reference sub-images (or sets of reference sub-images) based on the first respiratory signal. For example, when the reference image is a 4DCT image acquired synchronously with the treatment field image during the treatment process, the processing device 120 may divide the reference image and the treatment field image based on the same respiratory signal, since the first respiratory signal is also acquired synchronously during the treatment process. In some embodiments, the reference image may be divided in the same or similar manner as the treatment portal image. For more details, reference may be made to fig. 4 and fig. 5 and the related description thereof, which are not described herein again.

In some embodiments, the reference image and the treatment field image may be acquired by different components on the same medical device. In some embodiments, the respiratory signal corresponding to the reference image and the respiratory signal corresponding to the therapeutic portal image may be acquired by the same apparatus, the same type, or the same principle. By using the same set of respiratory signal acquisition equipment, the same type of respiratory signal acquisition equipment or the same principle, the respiratory signal corresponding to the reference image and the respiratory signal corresponding to the treatment field image can be synchronized, so that the reference image and the treatment field image are divided more accurately, and the accuracy of subsequent dose verification is improved.

Step 340, respectively determining corresponding sub-dose fields based on the plurality of groups of sub-images and the plurality of reference sub-images respectively corresponding to the plurality of groups of sub-images. In some embodiments, step 340 may be performed by the processing device 120 or the reconstruction module 230.

For convenience of description, one of the sub-images is described as an example.

In some embodiments, the processing device 120 or the reconstruction module 230 may derive the corresponding sub-dose field by image reconstruction based on the set of sub-images and the corresponding reference sub-images. In some embodiments, the processing device 120 or the reconstruction module 230 may reconstruct in the corresponding reference sub-images based on the acquisition data corresponding to the set of sub-images to determine the sub-dose fields. In some embodiments, the reconstruction means may include point dose reconstruction, two-dimensional dose reconstruction, three-dimensional dose reconstruction, and the like, or any combination thereof.

And 350, determining a global dose field corresponding to the therapeutic radiation field image based on a plurality of sub-dose fields respectively corresponding to the plurality of groups of sub-images. In some embodiments, step 350 may be performed by processing device 120 or determination module 240.

In some embodiments, the global dose field may reflect the dose distribution of the radiation received at various portions of the treatment region after a complete treatment session.

In some embodiments, the processing device 120 may superimpose the plurality of sub-dose fields to determine a global dose field corresponding to the treatment portal image. For more details, reference may be made to fig. 6 and the related description thereof, which are not repeated herein.

In some embodiments, for each of the plurality of sub-dose fields, the processing device 120 may determine a deformation field based on the reference sub-image corresponding to the sub-dose field and the preset image; determining a deformation sub-dose field based on the sub-dose field and the deformation field; further, a global dose field corresponding to the treatment portal image is determined based on the plurality of deformation sub-dose fields. In some embodiments, for each of the plurality of sub-dose fields, the processing device 120 may perform deformation registration on the reference sub-image corresponding to the sub-dose field and the preset image to determine a deformation field; determining a deformation sub-dose field based on the sub-dose field and the deformation field; furthermore, a plurality of deformation sub-dose fields can be superposed to determine a global dose field corresponding to the treatment field image. For more details, reference may be made to fig. 7 and its related description, which are not repeated herein.

In some embodiments, after determining the global dose field, the processing device 120 may compare (e.g., compare and evaluate) the global dose field with the planned dose field to obtain a dose verification result, i.e., a difference or ratio between the dose distribution in the treatment region after the radiation treatment and the dose distribution in the treatment plan, so as to achieve dose verification of the radiation treatment. For example, the processing device 120 may subtract the global dose field from the planned dose field to obtain a difference dose field. The difference dose field may reflect the difference distribution of the global dose field and the planned dose field obtained after treatment. In some embodiments, a treatment plan for a subsequent treatment may be determined or adjusted based on the dose verification.

It should be noted that the above description of flow 300 is provided for illustrative purposes only and is not intended to limit the scope of the present description. Various changes and modifications will occur to those skilled in the art based on the description herein. However, such changes and modifications do not depart from the scope of the present specification. In some embodiments, flow 300 may include one or more additional operations or may omit one or more of the operations described above. For example, the process 300 may include one or more additional operations for dose verification of a therapeutic procedure.

Fig. 4 is an exemplary flow diagram of treatment portal image segmentation, according to some embodiments described herein.

In some embodiments, the process 400 may be performed by the processing device 120 or the dose verification system 200 (e.g., binning module 220). For example, the flow 400 may be implemented as instructions (e.g., an application) and stored in a memory external to and accessible by, for example, the storage device 140 or the dose verification system (e.g., the dose verification system 100 or the dose verification system 200). The processing device 120 or dose verification system may execute the instructions and, when executed, may be configured to perform the flow 400. The operational schematic of flow 400 presented below is illustrative. In some embodiments, the process may be accomplished with one or more additional operations not described and/or one or more operations not discussed. Additionally, the order in which the operations of flow 400 are illustrated in FIG. 4 and described below is not intended to be limiting.

And step 410, synchronously processing the treatment radiation image and the respiratory signal based on the time information of the treatment radiation image and the respiratory signal.

The synchronization process may refer to associating the treatment portal image with time information (e.g., time points, time periods) in the respiratory signal.

In some embodiments, the treatment portal image and the respiration signal can be processed synchronously by software/program or the like during data acquisition. For example, before the target subject is treated, the time stamps of the respiratory signal acquisition device 112 and the medical device 110 may be set using the same computer device so that the time information of the device 110 and the device 112 is the same, and then the respiratory signal and the treatment portal image of the target subject are acquired simultaneously.

In some embodiments, the treatment portal image and the respiration signal may be processed synchronously after data acquisition, by software/hardware devices, etc. For example, the processing device 120 may compare the time information of the respiratory signal with the time information of the treatment portal image and sort the treatment portal image according to the time of the respiratory signal, so as to implement the synchronous processing of the treatment portal image and the respiratory signal. For another example, the processing device 120 may map the acquisition time of the treatment portal image to the respiration signal curve to achieve synchronous processing of the treatment portal image and the respiration signal. For another example, the processing device 120 may perform synchronous processing on the therapeutic field image and the respiratory signal through a device such as a time synchronization module.

At least a portion of the respiration signal is divided into a plurality of respiratory phases based on a signal period of the respiration signal, step 420.

In some embodiments, the respiration signal may represent a change in the amplitude of the patient's respiration over a period of time. In some embodiments, the respiratory signal may be presented in the form of a curve, for example, a sine wave or cosine wave curve. In some embodiments, a peak in the breathing signal profile may correspond to the end of a patient's exhalation process and a trough may correspond to the end of a patient's inhalation process. In some embodiments, the peaks of the respiration signal profile may correspond to the end of a patient's inspiratory process and the valleys may correspond to the end of a patient's expiratory process.

In some embodiments, the signal period of the respiratory signal may refer to any signal interval that can reflect a variation period of the respiratory signal, such as a signal interval between two adjacent peaks, a signal interval between two adjacent troughs, a signal interval that includes a pair of adjacent peaks and troughs, a signal interval between two non-adjacent peaks or troughs, and the like in a respiratory signal curve. It will be appreciated that the signal period of the respiration signal is an approximately constant time value for the same patient. In some embodiments, the signal period of the respiratory signal is affected by age, gender, size, respiratory muscle strength, lung and thoracic elasticity, among other factors.

In some embodiments, the respiratory phases may reflect different respiratory phases. For example, a respiratory phase may include an expiratory phase and an inspiratory phase. In some embodiments, the breathing phase may be any segment within a signal period of the breathing signal.

In some embodiments, the processing device 120 may divide at least a portion of the respiratory signal (e.g., one signal cycle, multiple signal cycles, half a signal cycle, a portion of one or more signal cycles, etc. of the respiratory signal) into a plurality of respiratory phases based on the signal cycle of the respiratory signal.

In some embodiments, the processing device 120 may divide at least a portion of the respiration signal into a plurality of respiration phases in the time direction. For example, as shown in FIGS. 5 (a) -5 (c).

In some embodiments, the processing device 120 may divide at least a portion of the respiration signal into a plurality of segments along the respiration amplitude direction, and determine a plurality of respiration phases corresponding to the plurality of segments respectively. For example, as shown in fig. 5 (d).

In some embodiments, the processing device 120 may divide at least a portion of the respiratory signal equally, regularly, or randomly. For example, the processing device 120 may averagely divide one signal cycle of the respiration signal into N segments, where the N segments correspond to N time periods of the respiration phases, which may be denoted as P ₁ 、P ₂ 、…、P _N . As another example, the processing device 120 may be gradually stepped according to a certain ruleIn an incremental approach, one signal cycle of the respiration signal is divided into N respiration phases. For another example, the processing device 120 may randomly divide one signal period of the respiration signal into N respiration phases.

In some embodiments, the number of divided multiple respiratory phases or the interval between adjacent respiratory phases is related to the respiratory amplitude or period of the target subject. For example, the larger the breathing amplitude, the larger the number of breathing phases corresponding to the division, and the larger the interval between adjacent breathing phases. In some embodiments, the number of divided multiple respiratory phases or the interval between adjacent respiratory phases is related to the respiratory frequency or period of the target subject. For example, the higher the breathing rate or the shorter the breathing cycle, the smaller the interval between adjacent breaths corresponding to the division.

In some embodiments, different partitioning manners may be formulated for different target objects. In some embodiments, the number of multiple respiratory phases or the interval between adjacent respiratory phases is related to the degree to which a target subject (e.g., a tumor) is affected by respiration. In some embodiments, if the breathing is short, corresponding to a short breathing cycle, the position of the target object (e.g., tumor) is affected by breathing frequently, and accordingly a larger number of breathing phase fractions may be selected. In some embodiments, if the breathing amplitude is large, the position of the target object (e.g., tumor) changes more significantly due to the effects of breathing, and accordingly a greater number of breathing phase fractions may be selected.

It will be appreciated that the above-described method is by way of example only and does not limit the scope of the present description. In some alternative embodiments, the respiratory phase may also be divided in other ways, for example, in conjunction with the physical or mental state of the patient at the time of treatment.

And step 430, dividing the treatment portal image after synchronous processing into a plurality of groups of sub-images based on a plurality of respiratory phases.

In some embodiments, the processing device 120 (or binning module 220) may divide the treatment portal image into a plurality of sub-images by time period based on time periods corresponding to a plurality of respiratory phases, respectively, each sub-image corresponding to a respiratory phase.

It should be noted that the above description of flow 400 is provided for illustrative purposes only, and is not intended to limit the scope of the present description. Various changes and modifications will occur to those skilled in the art based on the description herein. However, such changes and modifications do not depart from the scope of the present specification. In some embodiments, flow 400 may include one or more additional operations, or may omit one or more of the operations described above. For example, the flow 400 may include one or more additional operations for dose verification of a therapeutic procedure.

Fig. 5 (a) - (d) are schematic diagrams of exemplary respiratory phase divisions, according to some embodiments herein.

As shown in fig. 5 (a), the processing device 120 may divide the signal interval between two adjacent peaks of the respiration signal into N respiration phases. As shown in fig. 5 (b), the processing device 120 may divide the signal intervals between three adjacent troughs of the respiration signal into N respiration phases. As shown in fig. 5 (c), the processing device 120 may divide the signal interval between adjacent peaks and troughs of the respiration signal into N respiration phases. As shown in fig. 5 (d), the processing device 120 may divide (i.e., transversely divide) the signal interval between adjacent peaks and troughs of the respiration signal into N segments along the respiration amplitude direction, and determine N respiration phases respectively corresponding to the N segments.

It is to be understood that the breathing phase partition diagrams shown in fig. 5 (a) - (d) are by way of example only and do not limit the scope of the present description. In some embodiments, any portion of the respiratory signal may also be divided into a plurality of respiratory phases in any reasonable fashion.

FIG. 6 is a schematic diagram illustrating an exemplary determination of a global dose field according to some embodiments herein.

As shown in fig. 6, the sub-dose field 1, the sub-dose field 2, the sub-dose field …, and the sub-dose field N are N sub-dose fields corresponding to N sets of sub-images, respectively. The processing device 120 can directly superimpose the sub-dose field 1, the sub-dose field 2, the sub-dose field … and the sub-dose field N to determine a global dose field corresponding to the therapeutic portal image.

FIG. 7 is a schematic diagram illustrating an exemplary determination of a global dose field according to further embodiments herein.

As shown in fig. 7, phase 1, phase 2, …, and Phase N respectively represent N reference sub-images corresponding to the sub-dose fields. The processing device 120 may perform deformation registration on each reference sub-image and the preset image to obtain N corresponding deformation fields (DVFs), which are respectively denoted as DVFs ₁ 、DVF ₂ 、…、DVF _N . The processing device 120 may obtain N deformable sub-dose fields after processing the N deformable sub-dose fields based on the N deformable fields, respectively: a morphon dose field 1, a morphon dose field 2, …, and a morphon dose field N. Further, the processing device 120 may overlay the N deformable sub-dose fields to determine a global dose field of the therapeutic portal image.

In some embodiments, the preset image may comprise one of a planning image or a plurality of reference sub-images of the target object. In some embodiments, the planning image may be used to formulate a treatment plan for the target subject. In some embodiments, the planning image may be used to identify and/or locate a target object. In some embodiments, the planning image may include a 2D image, a 3D image, etc. of the target object. In some embodiments, the planning image may include a CT image, an MR image, or the like. In some embodiments, the planning image may include a direct scan derived image. In some embodiments, the planning image may include an image derived based on a projection modality (e.g., intensity projection).

As shown in fig. 8, the processing device 120 may divide the respiration signal into a plurality of respiration phases and divide the treatment portal image and the reference image in the same or similar manner based on the plurality of respiration phases to obtain a plurality of sets of sub-images and a plurality of reference sub-images (or a plurality of sets of reference sub-images), respectively. Further, for each set of sub-images and corresponding reference sub-images, the processing device 120 may reconstruct the corresponding acquired data for the set of sub-images in the corresponding reference sub-images to determine the sub-dose fields. The processing device 120 may directly superimpose the plurality of sub-dose fields or determine the plurality of deformation sub-dose fields before superimposing to determine the global dose field.

According to some embodiments of the present disclosure, the treatment radiation image may be divided into a plurality of groups of sub-images based on the synchronously acquired respiratory signals, sub-dose reconstruction may be performed based on the plurality of groups of sub-images and a plurality of reference sub-images (obtained by dividing the reference images) corresponding to the same respiratory phase, and the global dose field may be further determined based on the plurality of sub-dose fields. That is, the treatment portal image and the reference image each include temporal information, sub-dose verification is performed based on the treatment sub-image group and the reference sub-image corresponding to the same respiratory phase, and a global dose field is determined based on a plurality of sub-doses. Accordingly, using a treatment portal image (e.g., an EPID image) recorded and collected by the medical device that reflects the true dose data of the target subject during treatment may improve the accuracy of the dose verification result, making the verification result more persuasive. Compared with the dose verification based on the reference image without time information, the method can avoid or reduce the influence of respiratory motion, improve the accuracy of the dose verification, and provide accurate reference for more accurately understanding the treatment process or making a better treatment scheme. Different breathing time phase division modes are set under different conditions, so that the influence of breathing movement can be further reduced, and the accuracy of dose verification can be correspondingly improved. Further, deformation correction is performed on the plurality of sub-dose fields, so that the accuracy of dose verification can be further improved.

It should be noted that different embodiments may produce different advantages, and in different embodiments, the advantages that may be produced may be any one or combination of the above, or any other advantages that may be obtained.

Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing detailed disclosure is to be considered as illustrative only and not limiting, of the present invention. Various modifications, improvements and adaptations to the present description may occur to those skilled in the art, although not explicitly described herein. Such alterations, modifications, and improvements are intended to be suggested in this specification, and are intended to be within the spirit and scope of the exemplary embodiments of this specification.

Also, the description uses specific words to describe embodiments of the description. Reference throughout this specification to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the specification is included. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of one or more embodiments of the specification may be combined as appropriate.

Additionally, the order in which the elements and sequences of the process are recited in the specification, the use of alphanumeric characters, or other designations, is not intended to limit the order in which the processes and methods of the specification occur, unless otherwise specified in the claims. While various presently contemplated embodiments of the invention have been discussed in the foregoing disclosure by way of example, 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 all modifications and equivalent arrangements that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented by hardware devices, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.

Similarly, it should be noted that in the foregoing description of embodiments of the present specification, 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 embodiments. This method of disclosure, however, is not intended to imply that more features than are expressly recited in a claim. Indeed, the embodiments may be characterized as having less than all of the features of a single disclosed embodiment.

Numerals describing the number of components, attributes, etc. are used in some embodiments, it being understood that such numerals used in the description of the embodiments are modified in some instances by the use of the modifier "about", "approximately" or "substantially". Unless otherwise indicated, "about", "approximately" or "substantially" indicates that the number allows a variation of ± 20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximations that may vary depending upon the desired properties of the individual embodiments. In some embodiments, the numerical parameter should take into account the specified significant digits and employ a general digit preserving approach. Notwithstanding that the numerical ranges and parameters setting forth the broad scope of the range in some embodiments of the specification are approximations, in specific embodiments, such numerical values are set forth as precisely as possible within the practical range.

For each patent, patent application publication, and other material, such as articles, books, specifications, publications, documents, etc., cited in this specification, the entire contents of each are hereby incorporated by reference into this specification. Except where the application history document is inconsistent or contrary to the present specification, and except where the application history document is inconsistent or contrary to the present specification, the application history document is not inconsistent or contrary to the present specification, but is to be read in the broadest scope of the present claims (either currently or hereafter added to the present specification). It is to be understood that the descriptions, definitions and/or uses of terms in the accompanying materials of the present specification shall control if they are inconsistent or inconsistent with the statements and/or uses of the present specification.

Finally, it should be understood that the embodiments described herein are merely illustrative of the principles of the embodiments of the present disclosure. Other variations are also possible within the scope of the present description. Thus, by way of example, and not limitation, alternative configurations of the embodiments of the specification can be considered consistent with the teachings of the specification. Accordingly, the embodiments of the present description are not limited to only those embodiments explicitly described and depicted herein.

Claims

1. A dose verification system, comprising:

a storage device to store instructions;

at least one processor in communication with the storage device, wherein the at least one processor, when executing the instructions, is configured to:

acquiring a treatment radiation field image and a respiratory signal corresponding to a target object which are synchronously acquired;

dividing the treatment radiation image into a plurality of groups of sub-images based on the respiration signal, wherein the plurality of groups of sub-images respectively correspond to a plurality of respiration time phases of the respiration signal;

for each of the plurality of sets of sub-images,

acquiring a reference sub-image corresponding to the same respiratory phase as the set of sub-images;

determining a sub-dose field based on the set of sub-images and the reference sub-image; and

and determining a global dose field corresponding to the therapeutic radiation field image based on a plurality of sub-dose fields respectively corresponding to the plurality of groups of sub-images.

2. The system of claim 1, wherein to divide the therapeutic portal image into a plurality of sets of sub-images based on the respiratory signal, the at least one processor is configured to:

based on the time information of the treatment radiation image and the respiratory signal, synchronously processing the treatment radiation image and the respiratory signal;

dividing at least a portion of the respiratory signal into the plurality of respiratory phases based on a signal period of the respiratory signal;

and dividing the treatment portal image subjected to synchronous processing into a plurality of groups of sub-images based on the plurality of respiratory phases.

3. The system of claim 1, wherein a number of the plurality of respiratory phases or an interval between adjacent respiratory phases is related to a respiratory amplitude or period of the target subject.

4. The system of claim 1, wherein the reference sub-images are derived by partitioning reference images, the reference images including planning simulation images, pre-treatment images acquired before treatment, or positioning images acquired during treatment.

5. The system according to claim 1, wherein to determine the global dose field corresponding to the therapeutic portal image based on a plurality of sub-dose fields corresponding to the plurality of sets of sub-images, respectively, the at least one processor is configured to:

and superposing the plurality of sub-dose fields, and determining the global dose field corresponding to the treatment portal image.

6. The system according to claim 1, wherein to determine the global dose field corresponding to the therapeutic portal image based on a plurality of sub-dose fields corresponding to the plurality of sets of sub-images, respectively, the at least one processor is configured to:

for each of the plurality of sub-dose fields,

performing deformation registration on the reference sub-image corresponding to the sub-dose field and a preset image to determine a deformation field;

determining a deformation sub-dose field based on the sub-dose field and the deformation field;

and superposing the plurality of deformation sub-dose fields, and determining the global dose field corresponding to the treatment portal image.

7. The system of claim 6, wherein the preset image comprises a planning image of the target object or one of the plurality of reference sub-images.

8. The system according to claim 1, wherein said at least one processor is further configured to:

and comparing the global dose field corresponding to the treatment radiation field image with a plan dose field to obtain a dose verification result.

9. A dose verification system, the system comprising:

the data acquisition module is used for acquiring synchronously acquired treatment portal images and respiratory signals corresponding to the target object;

the box dividing module is used for dividing the treatment radiation field image into a plurality of groups of sub-images based on the respiratory signal, and the plurality of groups of sub-images respectively correspond to a plurality of respiratory time phases of the respiratory signal;

a reconstruction module to: for each of the plurality of sets of sub-images,

acquiring a reference sub-image corresponding to the same respiratory phase as the set of sub-images; and

determining a sub-dose field based on the set of sub-images and the reference sub-image;

and the determining module is used for determining a global dose field corresponding to the therapeutic portal image based on a plurality of sub-dose fields respectively corresponding to the plurality of groups of sub-images.

10. A computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the computer program, when executed by the processor, is operable to cause the computer device to perform a method comprising:

acquiring a treatment portal image and a respiratory signal corresponding to a target object which are synchronously acquired;

dividing the treatment portal image into a plurality of groups of sub-images based on the respiration signal, wherein the plurality of groups of sub-images respectively correspond to a plurality of respiration time phases of the respiration signal;

for each of the plurality of sets of sub-images,

11. A computer-readable storage medium storing computer instructions that, when read by a computer, cause the computer to perform a method comprising:

for each of the plurality of sets of sub-images,

and determining a global dose field corresponding to the treatment field image based on a plurality of sub-dose fields respectively corresponding to the plurality of groups of sub-images.