CN111494813A - Modeling method, verification method, device, equipment and storage medium - Google Patents
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Abstract
The embodiment of the invention discloses a modeling method, a verification method, a device, equipment and a storage medium. The modeling method comprises the following steps: acquiring a structural model of a detector to be modeled; acquiring first particle information of a first particle on a detector, wherein the first particle information comprises at least one of a type and an incident angle, and energy, and the type comprises photons or electrons; and simulating a response value of the first particle on the detector according to the structural model and the first particle information, and determining a modeling result according to the response value. According to the technical scheme of the embodiment of the invention, the type and/or incident angle and energy of the first particles are considered at the same time, so that electronic response modeling and/or incident angle modeling are added in the modeling process of the detector response, the multi-particle type and multi-dimensional modeling effect of the detector response is realized, and the modeling precision of the detector response is improved.
Description
Technical Field
The embodiment of the invention relates to the technical field of biomedical signal processing, in particular to a modeling method, a verification method, a device, equipment and a storage medium.
Background
An Electronic Portal Imaging Device (EPID) is a flat panel detector system installed on a linear accelerator, and can be used as an Image guidance Device in Image-guided radiotherapy (IGRT) technology to acquire patient images to assist doctors in judging whether the patient positions accurately, whether the tumor position or shape changes, and the like, so as to reduce the possibility of irradiation of normal tissues, thereby improving the precision and efficiency of radiotherapy.
In recent years, with the rapid development of detector technology, the research of EPID-based dosimeters has become a hot spot. EPID has become a common treatment quality assurance tool by virtue of its flexibility, convenience, rapidity, high resolution, etc., which essentially converts image information into dose information to monitor or reconstruct the true three-dimensional dose received by a patient during radiation treatment, and an important prerequisite for the implementation of this monitoring or reconstruction process is the accurate modeling of the EPID response. However, most of the existing modeling schemes for the EPID response are based on a single dimension, and the modeling precision is to be improved.
Disclosure of Invention
The embodiment of the invention provides a modeling method, a verification device, equipment and a storage medium, so as to realize the effect of accurate modeling of detector response.
In a first aspect, an embodiment of the present invention provides a method for modeling a detector response, which may include:
acquiring a structural model of a detector to be modeled;
acquiring first particle information of a first particle on a detector, wherein the first particle information comprises at least one of a type and an incident angle, and energy, and the type comprises photons or electrons;
and simulating a response value of the first particle on the detector according to the structural model and the first particle information, and determining a modeling result according to the response value.
Optionally, the first particle includes a first photon and a first electron, and according to the structural model and the first particle information, a response value of the first particle on the detector is simulated, and a modeling result is determined according to the response value, including:
simulating a photon response value of the first photon on the detector according to the structural model and the first photon information of the first photon, and determining a photon modeling result according to the photon response value;
and simulating an electronic response value of the first electron on the detector according to the structural model and the first electronic information of the first electron, and determining an electronic modeling result according to the electronic response value.
Optionally, simulating a response value of the first particle on the detector, and determining a modeling result according to the response value may include:
and respectively simulating the energy deposition of the first particles corresponding to each piece of first particle information on the detector, and determining a modeling result according to each energy deposition and the first particle information respectively corresponding to each energy deposition.
Optionally, the detector may include an electronic portal imaging device, and/or the modeling results may include a detector response surface.
In a second aspect, embodiments of the present invention further provide a method for verifying a radiation therapy dose, which may include:
acquiring second particle information of second particles on the detector and a modeling result determined by the modeling method for the detector response according to any embodiment of the invention, and predicting a prediction image of the second particles on the detector according to the second particle information and the modeling result;
acquiring a measured image of the second particles irradiated on the detector, and comparing the similarity between the measured image and the predicted image;
wherein the predicted image is indicative of a predicted dose distribution of the second particles on the detector and the measured image is indicative of a true dose distribution of the second particles on the detector.
Optionally, the modeling result includes a photon modeling result and an electronic modeling result, and the predicting of the predicted image irradiated by the second particle on the detector according to the second particle information and the modeling result may include:
predicting a photon predicted image of the second particle irradiated on the detector according to the second particle information and the photon modeling result, and predicting an electronic predicted image of the second particle irradiated on the detector according to the second particle information and the electronic modeling result;
and generating a predicted image according to the photon predicted image and the electron predicted image.
In a third aspect, an embodiment of the present invention further provides a device for modeling a detector response, which may include:
the structure model acquisition module is used for acquiring a structure model of the detector to be modeled;
a first particle information acquisition module for acquiring first particle information of a first particle on a detector, wherein the first particle information may include at least one of a type and an incident angle, and an energy, and the type may include a photon or an electron;
and the modeling module is used for simulating a response value of the first particle on the detector according to the structural model and the first particle information and determining a modeling result according to the response value.
In a fourth aspect, an embodiment of the present invention further provides a device for verifying radiation therapy dosage, which may include:
the prediction image prediction module is used for acquiring second particle information of a second particle on the detector and a modeling result determined by the modeling method of the detector response according to any embodiment of the invention, and predicting a prediction image irradiated by the second particle on the detector according to the second particle information and the modeling result;
the image comparison module is used for acquiring a real-measurement image irradiated on the detector by the second particles and comparing the similarity between the real-measurement image and the prediction image;
wherein the predicted image is indicative of a predicted dose distribution of the second particles on the detector and the measured image is indicative of a true dose distribution of the second particles on the detector.
In a fifth aspect, an embodiment of the present invention further provides an apparatus, where the apparatus may include:
one or more processors;
a memory for storing one or more programs;
when executed by one or more processors, cause the one or more processors to implement a method for modeling detector response or a method for verifying radiation treatment dose as provided by any of the embodiments of the present invention.
In a sixth aspect, embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, the computer program, when executed by a processor, implementing the method for modeling a detector response or the method for verifying a radiation therapy dose provided by any of the embodiments of the present invention.
According to the technical scheme of the embodiment of the invention, by acquiring the structural model of the detector to be modeled and the simulated first particle information of the first particles irradiated on the detector, the response value of the first particles on the detector can be simulated according to the structural model and the first particle information, and the modeling result is determined according to the response value. According to the technical scheme, the type and/or incident angle and energy of the first particles are considered, so that electronic response modeling and/or incident angle modeling are added in the modeling process of the detector response, the multi-particle type and multi-dimensional modeling effect of the detector response is realized, and the modeling precision of the detector response is improved.
Drawings
FIG. 1 is a flow chart of a method for modeling a detector response in accordance with a first embodiment of the present invention;
FIG. 2 is a schematic diagram illustrating an application of first particle information of a first particle in a method for modeling a detector response according to a first embodiment of the present invention;
FIG. 3 is a first workflow diagram of a method of modeling detector response in accordance with a first embodiment of the invention;
FIG. 4 is a second workflow diagram of a method of modeling detector response in accordance with a first embodiment of the invention;
FIG. 5 is a schematic diagram of a photon detector response surface and an electron detector response surface in a method for modeling a detector response according to a first embodiment of the present invention;
FIG. 6 is a flowchart of a method for verifying radiation treatment dosage according to a second embodiment of the present invention;
FIG. 7 is a workflow diagram of a method of verification of radiation treatment dosage in accordance with a second embodiment of the present invention;
FIG. 8a is a graph showing the results of a method for verifying the dose of radiation therapy in accordance with a second embodiment of the present invention;
FIG. 8b is a graph illustrating the results of a prior art method of verifying radiation treatment dose;
FIG. 9 is a block diagram of a device for modeling the response of a detector according to a third embodiment of the present invention;
fig. 10 is a block diagram of a radiation treatment dose verification apparatus according to a fourth embodiment of the present invention;
fig. 11 is a schematic structural diagram of an apparatus in the fifth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a method for modeling a detector response according to a first embodiment of the present invention. The embodiment can be applied to the condition of modeling the response of the detector, and is particularly suitable for the condition of accurately modeling the response of the detector from the multi-dimension aspect. The method can be executed by the detector response modeling device provided by the embodiment of the invention, the device can be realized by software and/or hardware, and the device can be integrated on various user terminals or servers.
Referring to fig. 1, the method of the embodiment of the present invention specifically includes the following steps:
and S110, acquiring a structural model of the detector to be modeled.
The detector can be any two-dimensional flat panel detector, and the EPID is a commonly used two-dimensional flat panel detector. The structural model of the detector, which may also be referred to as a physical model of the detector, may be pre-established based on the fabrication materials and geometry of the detector, which is an important factor in the modeling process of the detector response.
S120, first particle information of first particles on a detector is acquired, wherein the first particle information comprises at least one of type and incident angle and energy, and the type comprises photons or electrons.
The first particles are simulated particles irradiated on the detector or simulated particles received by the detector, and the first particles can be irradiated on the detector by means of pencil beams, and the pencil beams are a large set of first particles of the same type with the same energy and the same direction.
The first particle information of the first particle may be an energy and a type of the first particle, an energy and an incident angle of the first particle, an energy, a type and an incident angle of the first particle, and the like, which are not specifically limited, the type of the first particle may be a photon or an electron, that is, the first particle may be a photon or an electron, which is not specifically limited, for example, in case that the detector is an EPID, the first particle information acquired to the first particle on the EPID may be as shown in fig. 2, and the first particle information may include a photon beam composed of each photon or an electron beam composed of each electron, an incident angle α, and energy in the energy deposition layer.
It should be noted that the reason why the first particle information is set in this way is that, first, considering that the first particles emitted from the linac may be photons or electrons, particularly, when the thickness of the phantom in the radiotherapy beam composed of a large number of first particles is large, the electron response ratio in the response image of the detector may be 10% or more as seen from the simulation calculation result. Therefore, compared with the conventional modeling scheme of the detector response, only photon response modeling is considered, and the addition of the electronic response modeling can improve the modeling precision of the detector response to a greater extent.
Second, conventional modeling schemes for detector response do not distinguish between the angles of incidence of the first particles, i.e., assume that first particles with different angles of incidence have the same energy efficiency. However, it has been experimentally verified that when a phantom with a large thickness and/or complexity exists in the radiotherapy beam, the addition of the incident angle modeling can significantly improve the accuracy of the modeling of the detector response, i.e., the response value calculated based on the energy and incident angle together is closer to the true response value.
S130, simulating a response value of the first particle on the detector according to the structural model and the first particle information, and determining a modeling result according to the response value.
According to the obtained structure model and the first particle information, a response value of the first particle corresponding to the first particle information on the detector with the structure model can be simulated, and then a modeling result is determined according to the response value. In practice, the modeling result can be considered to be obtained by simulating the transport of the first particles in the detector in advance, which can be represented in various forms, such as a detector response curve and the like.
On the basis, optionally, the response value may be an energy deposit, so that the energy deposit of the first particle corresponding to each piece of first particle information on the detector can be simulated respectively, and the modeling result is determined according to each energy deposit and the first particle information corresponding to each energy deposit. Therefore, as an alternative, a structural model of the detector may be simulated by using a DOSEXYZnrc module in open-source EGSnrc software to obtain the energy deposition of the first particle on the surface of the detector, and specifically, the first particle information may be used as input information of the DOSEXYZnrc module, so that the DOSEXYZnrc module calculates the energy deposition of the first particle on the surface of the detector corresponding to the input information according to the input information and the structural model.
In practical applications, in order to improve the robustness of the modeling result of the probe response, various kinds of first particle information may be involved in the modeling process, and the various kinds of first particle information may include various kinds and/or various incident angles, and various kinds of energy, which are not specifically limited herein. For example, as shown in fig. 3, taking the example that the first particle information includes energy and an incident angle, after the structure model of the detector is acquired, the energy and the incident angle of the first particle may be set, and a response value of the first particle on the detector is calculated according to the structure model, the energy and the incident angle; further, judging whether the first particles with various energies are completely calculated, if not, updating the energies to calculate the response values of the first particles with the rest energies on the detector, and if so, judging whether the first particles with various incidence angles are completely calculated; and if not, updating the incident angle to calculate the response values of the first particles of the rest incident angles on the detector, and if so, generating a detector response curved surface according to various energies and various incident angles and the response values respectively corresponding to the various energies and the various incident angles.
On the basis, optionally, if the first particle includes the first photon and the first electron, according to the structural model and the first photon information of the first photon, a photon response value of the first photon on the detector can be simulated, and a photon modeling result is determined according to the photon response value; and according to the structural model and the first electronic information of the first electrons, an electronic response value of the first electrons on the detector can be simulated, and an electronic modeling result is determined according to the electronic response value. Thus, if the first photon information includes the incident angle and energy of the first photon and the first electron information includes the incident angle and energy of the first electron, the modeling process may be as shown in fig. 4. In addition, taking the detector response curved surface with photon modeling result as photon and the detector response curved surface with electron modeling result as electron as an example, as shown in fig. 5, the detector response curved surface of photon can be drawn according to various incident angles and various energies of the first photon, and the detector response curved surface of electron can be drawn according to various incident angles and various energies of the first electron.
According to the technical scheme of the embodiment of the invention, by acquiring the structural model of the detector to be modeled and the simulated first particle information of the first particles irradiated on the detector, the response value of the first particles on the detector can be simulated according to the structural model and the first particle information, and the modeling result is determined according to the response value. According to the technical scheme, the type and/or incident angle and energy of the first particles are considered, so that electronic response modeling and/or incident angle modeling are added in the modeling process of the detector response, the multi-particle type and multi-dimensional modeling effect of the detector response is realized, and the modeling precision of the detector response is improved.
First, the above technical solution can be applied to both the penetrating mode EPID dosimeter and the non-penetrating EPID dosimeter. Particularly, in the penetration mode, the patient and/or phantom exists in the radiotherapy beam, and the simulation calculation result shows that the electron occupation ratio is improved and the incidence angle is larger in the first particles irradiated on the surface of the EPID, so that the improvement of the precision of the penetration model is particularly obvious in consideration of the technical scheme of the electron response modeling and the incidence angle modeling.
Secondly, the technical scheme can be simultaneously applied to a forward mode (forward method) EPID dosimeter and a backward mode (backward method) EPID dosimeter, and the calculation accuracy of the forward mode EPID dosimeter and the backward mode EPID dosimeter can be improved. In particular, in the forward mode, the prediction image generated by the detector needs to be predicted before radiation treatment, and therefore, accurate modeling of the detector response is crucial. In the reverse mode, the real image actually generated by the detector is required to reversely deduce the emergent flux of the linear accelerator, and the accurate modeling of the detector response is the basis for accurately reconstructing the emergent flux of the linear accelerator. In addition, the method for modeling the detector response according to the embodiment of the present invention can be applied to various physical algorithms, such as pencil beam algorithm, convolution algorithm, monte carlo algorithm, etc., which can be applied to the prediction image in the forward mode and the backward mode.
Example two
Before the second embodiment of the present invention is introduced, an application scenario of the second embodiment of the present invention is exemplarily described: to achieve precise radiotherapy, IGRT techniques are widely used in clinics, which can precisely locate the position of a tumor before treatment, thereby reducing the possibility of irradiation of normal tissues, reducing the side effects of radiotherapy, and improving the efficiency of radiotherapy. In radiation therapy, in order to ensure that a radiation Treatment Plan is accurately delivered to a patient, the dose distribution calculated using the Treatment Planning System (TPS) typically needs to be experimentally verified. The second embodiment of the invention elaborates a specific implementation process for quickly and accurately verifying the dose distribution, wherein the dose distribution is the dose distribution of the radiation treatment beam irradiated on the detector, which is simulated based on the radiation treatment plan to be verified, so that the rationality of the radiation treatment plan is effectively verified.
Fig. 6 is a flowchart of a verification method of radiation treatment dosage according to a second embodiment of the present invention. The present embodiment is applicable to the case of verifying the dose distribution of a radiation treatment beam impinging on the detector, which is simulated based on the radiation treatment plan to be verified. The method can be executed by the verification device for the radiation therapy dosage provided by the embodiment of the invention, the device can be realized by software and/or hardware, and the device can be integrated on various user terminals or servers.
Referring to fig. 6, the method of the embodiment of the present invention specifically includes the following steps:
s210, obtaining second particle information of a second particle on the detector and a modeling result determined by the modeling method for the detector response according to the first embodiment of the present invention, and predicting a predicted image of the second particle on the detector according to the second particle information and the modeling result, wherein the predicted image represents a predicted dose distribution of the second particle on the detector.
The second particles are particles irradiated on the detector simulated according to the radiation therapy plan to be verified, and the second particle information of the second particles is consistent with the first particle information described in the first embodiment of the present invention, for example, if the first particle information includes energy, type and incident angle, the second particle information also includes energy, type and incident angle. Therefore, according to the second particle information and the generated modeling result, a prediction image of the second particle irradiated on the detector can be simulated.
Specifically, optionally, a monte carlo algorithm may be used to calculate an energy fluence distribution map of virtual radiotherapy beams on the detector, each radiotherapy beam being composed of a large number of second particles of the same type having the same energy and consistent direction: and calculating a predicted image according to the energy fluence distribution map and the modeling result of the detector, wherein the predicted image can represent the predicted dose distribution of the second particles on the detector, namely the dose distribution of the virtual radiotherapy beam on the detector.
On the basis, if the modeling result comprises a photon modeling result and an electron modeling result, a photon prediction image of the second particle irradiating the detector can be predicted according to the second particle information and the photon modeling result; according to the second particle information and the electronic modeling result, an electronic prediction image of the second particle irradiated on the detector can be predicted; further, a predicted image can be generated from the photon predicted image and the electron predicted image. That is, the predicted image is a comprehensive prediction result of the photon modeling result and the electron modeling result.
S220, acquiring a measured image of the second particles irradiated on the detector, and comparing the difference between the measured image and the predicted image, wherein the measured image represents the real dose distribution of the second particles on the detector.
When the radiation treatment beam irradiates the surface of the detector, the detector images induction signals of the second particles in the radiation treatment beam irradiating the detector according to a photosensitive element in the detector to obtain a real-measurement image actually detected by the detector, so that the real-measurement image can represent the real dose distribution of the radiation treatment beam emitted based on the radiation treatment plan to be verified on the detector, namely the real dose distribution of the second particles actually emitted on the detector.
It should be noted that, in general, since the detector is in a high-speed acquisition state, the detector can detect multiple measured images for each radiotherapy beam in the radiotherapy plan, and thus, the multiple measured images can be superimposed, for example, the gray values of the pixel points at the corresponding positions of the measured images are superimposed, and the superimposed result is used as one measured image. Further, if there are multiple radiation treatment beams in the radiation treatment plan, multiple real images generated under each radiation treatment beam can be processed separately, so that each radiation treatment beam can correspond to one real image.
After a predicted image simulated by the second particles on the detector and a actually-measured image really acquired are obtained, the difference of the predicted image and the actually-measured image can be compared, the difference can represent the coincidence degree between the actually-measured image and the predicted image, and whether the corresponding radiotherapy plan is reasonable or not can be verified according to the coincidence degree, so that a doctor is assisted in adjusting the radiotherapy plan. On the basis, optionally, the comparison process can be realized by a gamma through an evaluation algorithm. Specifically, the gamma value of the image is calculated by a gamma function as follows:
wherein,
respectively, a calculation point (i.e., a pixel point in the predicted image) and a reference point (i.e., a pixel point in the measured image),
to calculate the dose difference between the point and the reference point,
to calculate the distance of the point and the reference point, Δ D and Δ D are a preset dose tolerance and distance tolerance, respectively. Thus, the gamma value of the reference point can be calculated from the gamma function:
the corresponding gamma evaluation criterion is if
Then pass if
Then it fails. Therefore, the gamma passing rate of the measured image can be obtained by calculating the percentage of the passing points in the total calculation points, and the difference between the measured image and the predicted image can be determined according to the gamma passing rate.
According to the technical scheme of the embodiment of the invention, the predicted image irradiated on the detector by the second particle can be simulated through the acquired second particle information of the second particle on the detector and the modeling result of the detector; furthermore, by acquiring a real image of the second particle irradiated on the detector, the similarity between the real image and the predicted image can be compared, and the similarity can be used for verifying the rationality of the radiation treatment plan corresponding to the second particle. According to the technical scheme, the generated modeling result of the detector is utilized, so that the calculation time consumption of the prediction image is reduced, the calculation precision of the prediction image is improved, and the effect of quickly and accurately verifying the radiation treatment dose in the radiation treatment plan is realized.
In order to better understand the specific implementation process of the above steps, the verification method of the radiation therapy dose of the present embodiment is exemplarily described below with reference to specific examples.
Illustratively, as shown in FIG. 7, a dynamic neck emphasis plan (dIMRT) is taken as an example, the radiotherapy plan has 9 radiotherapy beams, wherein solid water (a phantom) is placed, the size of the solid water is 30cm × 30cm × 15cm, the center of the solid water is located at the center of the machine isocenter, second particle information of second particles on the surface of the detector can be calculated by using a Monte Carlo algorithm according to a light source model and the phantom information, the second particle information of the second particles on the surface of the detector comprises type, energy and incident angle.
Experiments prove that if the energy and the incident angle of photons and the energy and the incident angle of electrons are simultaneously considered in the modeling process of the response of the detector, a predicted image, a measured image and a gamma value image of the first radiotherapy beam are shown in fig. 8a, wherein (a) is a predicted image, (b) is a measured image and (c) is a gamma value image; if only the energy of the photons is taken into account in the modeling of the detector response, the predicted, measured and gamma value images of the first radiation treatment beam are shown in fig. 8b, where (a) is the predicted image, (b) is the measured image, and (c) is the gamma value image, comparing fig. 8a and 8b, it can be seen that in fig. 8b, the predicted image has a lower value and the gamma throughput is significantly reduced compared to the measured image.
The technical scheme is a treatment quality assurance scheme before radiotherapy, which adopts a forward mode, implements a radiotherapy plan before treating a patient, and records a measured image through a detector. It should be noted that the technical solution is used for verifying the radiation therapy dose, and is not used for therapy, so that no phantom is present in the radiation therapy beam when the actual image is acquired. Moreover, based on the monte carlo algorithm, the TPS can accurately predict a predicted image corresponding to a measured image. Furthermore, the difference between the measured image and the predicted image can be quantitatively compared through the gamma passing rate, so that whether the beam-out state of the linear accelerator reaches the expectation or not is verified.
In addition, the modeling result of the detector response can also be applied to the detector imaging related field, and image correction is completed by considering the second particle information. For example, in the field of EPID imaging, it is an important function of EPID to assist in performing image-guided radiotherapy, and to acquire high-quality Cone Beam Computed Tomography (CBCT) images, a series of image corrections, such as spectral hardening correction, scatter correction, etc., are usually performed on the EPID images. The general method of the image correction scheme is to establish a modeling result of detector response, calculate the influence of factors such as energy spectrum hardening and scattering on the image quality through simulation and quantification, and then further finish correction on the measured image.
EXAMPLE III
Fig. 9 is a block diagram of a device for modeling a detector response according to a third embodiment of the present invention, which is used to implement the method for modeling a detector response according to any of the embodiments described above. The device and the modeling method of the detector response of the above embodiments belong to the same inventive concept, and details which are not described in detail in the embodiments of the modeling device of the detector response may refer to the embodiments of the modeling method of the detector response. Referring to fig. 9, the apparatus may specifically include: a structural model acquisition module 310, a first particle information acquisition module 320, and a modeling module 330.
The structural model obtaining module 310 is configured to obtain a structural model of a probe to be modeled;
a first particle information obtaining module 320 for obtaining first particle information of a first particle on the detector, wherein the first particle information may include at least one of a type and an incident angle, and an energy, and the type may include a photon or an electron;
and the modeling module 330 is configured to simulate a response value of the first particle on the detector according to the structural model and the first particle information, and determine a modeling result according to the response value.
Optionally, the modeling module 330 may specifically include:
the photon modeling unit is used for simulating a photon response value of the first photon on the detector according to the structural model and the first photon information of the first photon, wherein the first particle comprises the first photon, and determining a photon modeling result according to the photon response value;
and the electronic modeling unit is used for simulating an electronic response value of the first electron on the detector according to the structural model and the first electronic information of the first electron, and determining an electronic modeling result according to the electronic response value.
Optionally, the modeling module 330 may specifically include:
and the energy deposition simulation unit is used for respectively simulating the energy deposition of the first particles corresponding to each piece of first particle information on the detector, and determining a modeling result according to each energy deposition and the first particle information respectively corresponding to each energy deposition.
Optionally, the detector may include an electronic portal imaging device, and/or the modeling results may include a detector response surface.
In the modeling apparatus for detector response provided by the third embodiment of the present invention, the structural model of the detector to be modeled and the simulated first particle information of the first particle irradiated on the detector are obtained through the mutual cooperation of the structural model obtaining module, the first particle information obtaining module and the modeling module, a response value of the first particle on the detector can be simulated according to the structural model and the first particle information, and a modeling result is determined according to the response value. The device simultaneously considers the type and/or incident angle and energy of the first particles, so that electronic response modeling and/or incident angle modeling are added in the modeling process of the detector response, the multi-particle type and multi-dimensional modeling effect of the detector response is realized, and the modeling precision of the detector response is improved.
The modeling device for the detector response provided by the embodiment of the invention can execute the modeling method for the detector response provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
It should be noted that, in the embodiment of the modeling apparatus for detector response, the included units and modules are only divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be realized; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
Example four
Fig. 10 is a block diagram illustrating a radiation therapy dose verification apparatus according to a fourth embodiment of the present invention, which is used for performing the radiation therapy dose verification method according to any of the embodiments described above. The device and the verification method of the radiation treatment dose of the embodiments belong to the same inventive concept, and details which are not described in detail in the embodiment of the verification device of the radiation treatment dose can refer to the embodiment of the verification method of the radiation treatment dose. Referring to fig. 10, the apparatus may specifically include: a predictive picture prediction module 410 and an image comparison module 420.
The prediction image prediction module 410 is configured to obtain second particle information of a second particle on the detector and a modeling result determined by the modeling method for the detector response according to any embodiment of the present invention, and predict a prediction image of the second particle on the detector according to the second particle information and the modeling result;
an image comparison module 420, configured to obtain a real-measurement image of the second particle irradiated on the detector, and compare similarity between the real-measurement image and the predicted image;
wherein the predicted image is indicative of a predicted dose distribution of the second particles on the detector and the measured image is indicative of a true dose distribution of the second particles on the detector.
Optionally, the predicted image prediction module 410 may specifically include:
the photon prediction image prediction unit is used for predicting a photon prediction image irradiated by the second particle on the detector according to the second particle information and the photon modeling result, wherein the modeling result comprises a photon modeling result;
the electronic prediction image prediction unit is used for predicting the electronic prediction image irradiated by the second particles on the detector according to the second particle information and the electronic modeling result, wherein the modeling result also comprises the electronic modeling result;
a predictive image generating unit for generating a predictive image from the photon predictive image and the electron predictive image.
According to the verification device for the radiation treatment dose provided by the fourth embodiment of the invention, the predicted image irradiated on the detector by the second particle can be simulated through the second particle information of the second particle on the detector and the modeling result of the detector, which are acquired by the predicted image prediction module; furthermore, the real image of the second particle irradiated on the detector acquired by the image comparison module can be compared to the similarity between the real image and the predicted image, and the similarity can be used for verifying the reasonability of the radiation treatment plan corresponding to the second particle. According to the device, due to the fact that the generated modeling result of the detector is used, the calculation time consumption of the prediction image is reduced, the calculation precision of the prediction image is improved, and therefore the effect of quickly and accurately verifying the radiation treatment dose in the radiation treatment plan is achieved.
The verification device for the radiation treatment dose provided by the embodiment of the invention can execute the verification method for the radiation treatment dose provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
It should be noted that, in the embodiment of the verification apparatus for radiation therapy dosage, the included units and modules are only divided according to the functional logic, but not limited to the above division, as long as the corresponding functions can be realized; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
EXAMPLE five
Fig. 11 is a schematic structural diagram of an apparatus according to a fifth embodiment of the present invention, as shown in fig. 11, the apparatus includes a memory 510, a processor 520, an input device 530, and an output device 540. The number of processors 520 in the device may be one or more, and one processor 520 is taken as an example in fig. 11; the memory 510, processor 520, input device 530, and output device 540 in the apparatus may be connected by a bus or other means, such as by bus 550 in fig. 11.
The memory 510 is a computer-readable storage medium, and can be used for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the modeling method of the detector response in the embodiment of the present invention (for example, the structure model acquisition module 310, the first particle information acquisition module 320, and the modeling module 330 in the modeling apparatus of the detector response), and program instructions/modules corresponding to the verification method of the radiation treatment dose in the embodiment of the present invention (for example, the predicted image prediction module 410 and the image comparison module 420 in the verification apparatus of the radiation treatment dose). The processor 520, by executing the software programs, instructions and modules stored in the memory 510, performs various functional applications of the apparatus and data processing, i.e., the modeling of the detector response described above or the verification of the radiation therapy dose described above.
The memory 510 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of the device, and the like. Further, the memory 510 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, memory 510 may further include memory located remotely from processor 520, which may be connected to devices through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 530 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the device. The output device 540 may include a display device such as a display screen.
EXAMPLE six
An embodiment of the present invention provides a storage medium containing computer-executable instructions, which when executed by a computer processor, perform a method for modeling a detector response, the method comprising:
acquiring a structural model of a detector to be modeled;
acquiring first particle information of a first particle on a detector, wherein the first particle information comprises at least one of a type and an incident angle, and energy, and the type comprises photons or electrons;
and simulating a response value of the first particle on the detector according to the structural model and the first particle information, and determining a modeling result according to the response value.
Of course, the embodiments of the present invention provide a storage medium containing computer-executable instructions, which are not limited to the operations of the method described above, but can also perform related operations in the method for modeling the response of a detector provided by any of the embodiments of the present invention.
EXAMPLE seven
A seventh embodiment of the present invention provides a storage medium containing computer-executable instructions which, when executed by a computer processor, perform a method of verification of radiation therapy dosage, the method comprising:
acquiring second particle information of second particles on the detector and a modeling result determined by the modeling method for the detector response according to any embodiment of the invention, and predicting a prediction image of the second particles on the detector according to the second particle information and the modeling result;
acquiring a measured image of the second particles irradiated on the detector, and comparing the similarity between the measured image and the predicted image;
wherein the predicted image is indicative of a predicted dose distribution of the second particles on the detector and the measured image is indicative of a true dose distribution of the second particles on the detector.
Of course, the embodiments of the present invention provide a storage medium containing computer executable instructions, which are not limited to the method operations described above, but can also perform related operations in the verification method of radiation therapy dosage provided by any embodiments of the present invention.
From the above description of the embodiments, it will be apparent to those skilled in the art that the present invention may be implemented by software and necessary general-purpose hardware, and certainly may be implemented by hardware, but in many cases, the foregoing is a better embodiment of the present invention, and according to this understanding, the technical solution of the present invention or portions contributing to the prior art may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a flash Memory (F L ASH), a hard disk or an optical disk, etc., and includes instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the embodiments of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A method of modeling detector response, comprising:
acquiring a structural model of a detector to be modeled;
acquiring first particle information of a first particle on the detector, wherein the first particle information comprises at least one of a type and an angle of incidence, and an energy, the type comprising a photon or an electron;
and simulating a response value of the first particle on the detector according to the structural model and the first particle information, and determining a modeling result according to the response value.
2. The method of claim 1, wherein the first particle comprises a first photon and a first electron, and wherein simulating a response value of the first particle on the detector based on the structural model and the first particle information and determining a modeling result based on the response value comprises:
simulating a photon response value of the first photon on the detector according to the structural model and the first photon information of the first photon, and determining a photon modeling result according to the photon response value;
and simulating an electronic response value of the first electron on the detector according to the structural model and first electronic information of the first electron, and determining an electronic modeling result according to the electronic response value.
3. The method of claim 1, wherein simulating response values of the first particles on the detector and determining a modeling result based on the response values comprises:
and respectively simulating energy deposition of the first particles corresponding to each piece of first particle information on the detector, and determining a modeling result according to each energy deposition and the first particle information respectively corresponding to each energy deposition.
4. The method of claim 1, wherein the detector comprises an electronic portal imaging device and/or wherein the modeling result comprises a detector response surface.
5. A method of validating a radiation therapy dose, comprising:
acquiring second particle information of a second particle on a detector and a modeling result determined according to the method of any one of claims 1-4, predicting a prediction image of the second particle on the detector based on the second particle information and the modeling result;
acquiring a measured image irradiated on the detector by the second particles, and comparing the difference between the measured image and the predicted image;
wherein the predicted image characterizes a predicted dose distribution of the second particle on the detector and the measured image characterizes a true dose distribution of the second particle on the detector.
6. The method according to claim 5, wherein the modeling results include photon modeling results and electron modeling results, and the predicting the predicted image of the second particle impinging on the detector according to the second particle information and the modeling results comprises:
predicting a photon prediction image irradiated by the second particle on the detector according to the second particle information and the photon modeling result;
predicting an electronic prediction image irradiated by the second particles on the detector according to the second particle information and the electronic modeling result;
and generating a predicted image according to the photon predicted image and the electronic predicted image.
7. An apparatus for modeling detector response, comprising:
the structure model acquisition module is used for acquiring a structure model of the detector to be modeled;
a first particle information acquisition module for acquiring first particle information of a first particle on the detector, wherein the first particle information includes at least one of a type and an angle of incidence, and an energy, the type including a photon or an electron;
and the modeling module is used for simulating a response value of the first particle on the detector according to the structural model and the first particle information and determining a modeling result according to the response value.
8. A device for verifying a radiation therapy dose, comprising:
a predictive image prediction module for obtaining second particle information of a second particle on a detector and a modeling result determined according to the method of any one of claims 1 to 4, predicting a predictive image of the second particle on the detector based on the second particle information and the modeling result;
the image comparison module is used for acquiring a real-measurement image irradiated on the detector by the second particles and comparing the difference between the real-measurement image and the predicted image;
wherein the predicted image characterizes a predicted dose distribution of the second particle on the detector and the measured image characterizes a true dose distribution of the second particle on the detector.
9. An apparatus, characterized in that the apparatus comprises:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a method of modeling a detector response as recited in any of claims 1-4, or a method of verifying a radiation treatment dose as recited in any of claims 5-6.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method for modeling a detector response according to any one of claims 1-4 or the method for verifying a radiation therapy dose according to any one of claims 5-6.
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| CN111494813B (en) | 2022-11-08 |
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