CN111494813B - Modeling method, verification method, device, equipment and storage medium - Google Patents

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 particle 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.

Description

A modeling method, verification method, device, equipment and storage medium

technical field

Embodiments of the present invention relate to the technical field of biomedical signal processing, and in particular, to a modeling method, verification method, device, equipment, and storage medium.

Background technique

Electronic Portal Imaging Device (EPID) is a flat-panel detector system installed on a linear accelerator, which can be used as an image-guided device in image-guided radiation therapy (IGRT) technology. It is used to obtain patient images to assist doctors in judging whether the patient's positioning is accurate, whether the tumor location or shape has changed, etc., so as to reduce the possibility of normal tissue receiving irradiation, thereby improving the accuracy and efficiency of radiation therapy.

In recent years, with the rapid development of detector technology, research on EPID-based dosimeters has gradually become a hot spot. EPID has become a commonly used treatment quality assurance tool because of its flexibility, convenience, speed and high resolution. It essentially converts image information into dose information to monitor or reconstruct the real three-dimensional images received by patients during radiotherapy. Dose, and an important prerequisite for the monitoring or reconstruction process to be realized is the accurate modeling of the EPID response. However, most of the existing EPID response modeling schemes start from a single dimension, and the modeling accuracy needs to be improved.

Contents of the invention

The embodiment of the present invention provides a modeling method, a verification method, a device, a device and a storage medium, so as to realize the effect of accurate modeling of the detector response.

In a first aspect, an embodiment of the present invention provides a method for modeling a detector response, which may include:

Obtain the structural model of the detector to be modeled;

acquiring first particle information of the first particle on the detector, wherein the first particle information includes at least one of type and incident angle, and energy, and the type includes photon or electron;

According to the structure model and the information of the first particle, the response value of the first particle on the detector is simulated, and the modeling result is determined according to the response value.

Optionally, the first particle includes the first photon and the first electron, and the response value of the first particle on the detector is simulated according to the structure model and the information of the first particle, and the modeling result is determined according to the response value, including:

Simulating the photon response value of the first photon on the detector according to the structure model and the first photon information of the first photon, and determining the photon modeling result according to the photon response value;

According to the structure model and the first electronic information of the first electron, the electronic response value of the first electron on the detector is simulated, and the electronic modeling result is determined according to the electronic response value.

Optionally, simulating the response value of the first particle on the detector, and determining the modeling result according to the response value may include:

The energy deposition of the first particles corresponding to each first particle information on the detector is respectively simulated, and the modeling results are determined 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 result may include a detector response surface.

In the second aspect, the embodiment of the present invention also provides a method for verifying radiation therapy dose, which may include:

Acquiring the second particle information of the second particle on the detector and the modeling result determined according to the modeling method of the detector response described in any embodiment of the present invention, and predicting the second particle information and the modeling result according to the second particle information and the modeling result Predicted images of particles falling on the detector;

acquiring the measured image of the second particle irradiating on the detector, and comparing the similarity between the measured image and the predicted image;

Wherein, the predicted image represents the predicted dose distribution of the second particle on the detector, and the measured image represents the real dose distribution of the second particle on the detector.

Optionally, the modeling results include photon modeling results and electronic modeling results. According to the second particle information and modeling results, the predicted image of the second particle irradiating on the detector is predicted, which may include:

According to the second particle information and photon modeling results, predict the photon prediction image of the second particle irradiating on the detector, and predict the electrons of the second particle irradiating on the detector according to the second particle information and electron modeling results predicted image;

A predicted image is generated based on the photon predicted image and the electron predicted image.

In the third aspect, the embodiment of the present invention also provides a detector response modeling device, which may include:

A structural model obtaining module, configured to obtain the structural model of the detector to be modeled;

A first particle information acquisition module, configured to acquire first particle information of the first particle on the detector, wherein the first particle information may include at least one of type and incident angle, and energy, and the type may include photons or electrons;

The modeling module is used to simulate the response value of the first particle on the detector according to the structure model and the information of the first particle, and determine the modeling result according to the response value.

In the fourth aspect, the embodiment of the present invention also provides a radiotherapy dose verification device, which may include:

A predicted image prediction module, configured to obtain the second particle information of the second particle on the detector and the modeling result determined according to the modeling method of the detector response described in any embodiment of the present invention, according to the second particle information and the model predict the predicted image of the second particle irradiated on the detector;

The image comparison module is used to obtain the measured image of the second particle irradiated on the detector, and compare the similarity between the measured image and the predicted image;

Wherein, the predicted image represents the predicted dose distribution of the second particle on the detector, and the measured image represents the real dose distribution of the second particle on the detector.

In the fifth aspect, the embodiment of the present invention also provides a device, which may include:

one or more processors;

memory for storing one or more programs;

When one or more programs are executed by one or more processors, the one or more processors implement the detector response modeling method or the radiotherapy dose verification method provided by any embodiment of the present invention.

In the sixth aspect, an embodiment of the present invention also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method for modeling the detector response provided by any embodiment of the present invention is implemented. Or verification methods for radiation therapy doses.

According to the technical solution of the embodiment of the present invention, by obtaining the structural model of the detector to be modeled and the simulated first particle information of the first particle irradiated on the detector, the first particle information can be simulated according to the structural model and the first particle information. The response value of a particle on the detector, and the modeling result is determined according to the response value. The above technical solution takes into account the type and/or incident angle and energy of the first particle at the same time, thus, electronic response modeling and/or incident angle modeling are added to the modeling process of the detector response to realize the detection The multi-particle type and multi-dimensional modeling effect of the detector response improves the modeling accuracy of the detector response.

Description of drawings

Fig. 1 is a flowchart of a modeling method of a detector response in Embodiment 1 of the present invention;

2 is a schematic diagram of the application of the first particle information of the first particle in a detector response modeling method in Embodiment 1 of the present invention;

Fig. 3 is a first workflow diagram of a modeling method of a detector response in Embodiment 1 of the present invention;

Fig. 4 is a second workflow diagram of a modeling method of a detector response in Embodiment 1 of the present invention;

5 is a schematic diagram of a photon detector response surface and a schematic diagram of an electron detector response surface in a detector response modeling method in Embodiment 1 of the present invention;

Fig. 6 is a flow chart of a method for verifying radiation therapy dose in Embodiment 2 of the present invention;

FIG. 7 is a workflow diagram of a method for verifying radiation therapy doses in Embodiment 2 of the present invention;

Fig. 8a is a schematic diagram of the results of a verification method of radiation therapy dose in Example 2 of the present invention;

Fig. 8b is a schematic diagram of the results of a verification method of radiotherapy dose in the prior art;

9 is a structural block diagram of a detector response modeling device in Embodiment 3 of the present invention;

Fig. 10 is a structural block diagram of a radiotherapy dose verification device in Embodiment 4 of the present invention;

Fig. 11 is a schematic structural diagram of a device in Embodiment 5 of the present invention.

Detailed ways

The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention. In addition, it should be noted that, for the convenience of description, only some structures related to the present invention are shown in the drawings but not all structures.

Embodiment one

FIG. 1 is a flow chart of a modeling method for a detector response provided in Embodiment 1 of the present invention. This embodiment is applicable to the situation of modeling the response of the detector, especially suitable for the situation of accurately modeling the response of the detector from multiple dimensions. The method can be executed by the detector response modeling device provided by the embodiment of the present 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:

S110. Acquire a structural model of the detector to be modeled.

Wherein, the detector can be any two-dimensional flat panel detector, and EPID is a commonly used two-dimensional flat panel detector. The structural model of the detector can also be referred to as the physical model of the detector, which can be pre-established according to the material and geometric dimensions of the detector, and is an important factor in the modeling process of the detector response.

S120. Acquire first particle information of the first particle on the detector, where the first particle information includes at least one of type and incident angle, and energy, and the type includes photon or electron.

Wherein, the first particle is the simulated particle irradiated on the detector, or the simulated particle received by the detector, and the first particle can be irradiated on the detector by means of a pencil beam, and the pencil beam is A collection of a large number of first particles of the same type with the same energy and direction.

The first particle information of the first particle can be the energy and type of the first particle, it can be the energy and angle of incidence of the first particle, it can also be the energy, type and angle of incidence of the first particle, etc., which are not done here Specific limits. 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 here. Exemplarily, taking the detector as an EPID as an example, the first particle information of the first particle obtained on the EPID can be shown in Figure 2, and the first particle information can include a photon beam composed of photons or a The formed electron beam, the incident angle α, and the energy in the energy deposition layer.

It should be noted that the reason for setting the first particle information in this way is that, first of all, considering that the first particles emitted by the linear accelerator may be photons or electrons, especially when the radiotherapy radiation composed of a large number of first particles When the thickness of the phantom in the beam is relatively large, according to the simulation calculation results, in the response image of the detector, the electronic response accounts for more than 10%. Therefore, compared with the conventional modeling scheme of detector response, which only considers photon response modeling, the addition of electronic response modeling can greatly improve the modeling accuracy of detector response.

Secondly, the conventional modeling scheme of the detector response does not distinguish the incident angles of the first particles, that is, it is assumed that the first particles with different incident angles have the same energy efficiency. However, according to experimental verification, when there are large thickness and/or complex phantoms in the radiotherapy beam, the addition of incident angle modeling can significantly improve the modeling accuracy of the detector response, that is, based on the joint calculation of energy and incident angle The resulting response value is closer to the real response value.

S130. Simulate the response value of the first particle on the detector according to the structure model and the information of the first particle, and determine a modeling result according to the response value.

Wherein, according to the obtained structure model and first particle information, the response value of the first particle corresponding to the first particle information on the detector with the structure model can be simulated, and then the modeling result can be determined according to the response value. In fact, the modeling result can be considered to be obtained by simulating the transport of the first particle in the detector in advance, which can be presented in various forms, such as the detector response surface and so on.

On this basis, optionally, the response value can be energy deposition, thus, the energy deposition on the detector of the first particle corresponding to each first particle information can be simulated respectively, according to each energy deposition and The first particle information corresponding to each energy deposition determines the modeling result. Therefore, as an alternative, the DOSEXYZnrc module in the open source EGSnrc software can be used to simulate the structural model of the detector to obtain the energy deposition of the first particle on the surface of the detector. Specifically, the information of the first particle can be used as DOSEXYZnrc The input information of the module, so that the DOSEXYZnrc module can calculate the energy deposition of the first particle corresponding to the input information on the detector surface according to the input information and the structure model.

In practical applications, in order to improve the robustness of the modeling results of the detection response, various first particle information may be involved in the modeling process, and the various first particle information may include various types and/or various The incident angle and various energies are not specifically limited here. Exemplarily, as shown in Figure 3, taking the first particle information including energy and incident angle as an example, after obtaining the established detector structure model, the energy and incident angle of the first particle can be set, and according to the structure Calculate the response value of the first particle on the detector based on the model, energy and incident angle; then, judge whether the first particle of various energies has been calculated, if not, update the energy to calculate the first particle of the remaining energy on the detector If so, judge whether the first particles at various incident angles have been calculated; if not, update the incident angles to calculate the response values of the first particles at other incident angles on the detector, and if so, according to various energies and Various incident angles, and the response values corresponding to various energies and various incident angles respectively, generate a detector response surface.

On this basis, optionally, if the first particle includes the first photon and the first electron, the photon response value of the first photon on the detector can be simulated according to the structural model and the first photon information of the first photon , and determine the photon modeling result according to the photon response value; and according to the structure model and the first electronic information of the first electron, the electronic response value of the first electron on the detector can be simulated, and the electronic modeling can be determined according to the electronic response value result. Thus, if the first photon information includes the incident angle and energy of the first photon, and the first electronic information includes the incident angle and energy of the first electron, the above modeling process can be shown in FIG. 4 . In addition, taking the photon modeling result as a photon detector response surface and the electronic modeling result as an electron detector response surface as an example, as shown in FIG. 5 , according to various incident angles and various A detector response surface for photons can be drawn for each energy, and a detector response surface for electrons can be drawn for various incident angles and various energies of the first electron.

According to the technical solution of the embodiment of the present invention, by obtaining the structural model of the detector to be modeled and the simulated first particle information of the first particle irradiated on the detector, the first particle information can be simulated according to the structural model and the first particle information. The response value of a particle on the detector, and the modeling result is determined according to the response value. The above technical solution takes into account the type and/or incident angle and energy of the first particle at the same time, thus, electronic response modeling and/or incident angle modeling are added to the modeling process of the detector response to realize the detection The multi-particle type and multi-dimensional modeling effect of the detector response improves the modeling accuracy of the detector response.

It should be noted that, first of all, the above technical solution can be applied to both the penetrating mode EPID dosimeter and the non-penetrating EPID dosimeter. In particular, in the penetrating mode, there are patients and/or phantoms in the radiotherapy beam. According to the simulation calculation results, the proportion of electrons in the first particles irradiated on the surface of the EPID at this time is increased and the incident The angle is relatively large. Therefore, considering the technical solutions of electronic response modeling and incident angle modeling at the same time, the accuracy improvement of the penetration model is particularly obvious.

Secondly, the above technical solution can be applied to the EPID dosimeter of the forward mode (forward method) and the EPID dosimeter of the reverse mode (backward method) at the same time, and can improve the calculation accuracy of both. Specifically, in the forward mode, the predicted image generated by the detector needs to be predicted before the radiotherapy, so accurate modeling of the detector response is crucial. In the reverse mode, the output flux of the linac needs to be deduced from the measured image actually generated by the detector, and the accurate modeling of the detector response is the basis for accurately reconstructing the output flux of the linac. In addition, the modeling method of the detector response described in the embodiment of the present invention can be applied to a variety of different physical algorithms, such as pencil beam algorithm, convolution algorithm, Monte Carlo algorithm, etc., and they can all be applied to the forward mode and in the predicted image for the reverse mode.

Embodiment two

Before introducing the second embodiment of the present invention, the application scenario of the second embodiment of the present invention is exemplified: in order to achieve precise radiotherapy, IGRT technology is widely used in clinics, which can accurately locate the tumor location before treatment, thus It reduces the possibility of normal tissue being irradiated, reduces the side effects of radiation therapy, and improves the efficiency of radiation therapy. In radiotherapy, in order to ensure that a radiotherapy plan is irradiated to patients accurately, the dose distribution calculated using a treatment plan system (Treatment Plan System, TPS) usually needs to be verified experimentally. Embodiment 2 of the present invention elaborates in detail the specific implementation process of quickly and accurately verifying the dose distribution, which is the dose distribution of the radiotherapy beam irradiated on the detector simulated based on the radiotherapy plan to be verified, thus The efficient verification of the rationality of the radiotherapy plan is realized.

Fig. 6 is a flow chart of a radiation therapy dose verification method provided in Embodiment 2 of the present invention. This embodiment is applicable to the case of verifying the dose distribution of the radiotherapy beam irradiated on the detector simulated based on the radiotherapy plan to be verified. The method can be executed by the radiotherapy dose verification device provided by the embodiment of the present 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 Figure 6, the method of the embodiment of the present invention specifically includes the following steps:

S210. Acquire the second particle information of the second particle on the detector and the modeling result determined according to the detector response modeling method described in Embodiment 1 of the present invention, and predict the A predicted image of the second particle irradiating on the detector, wherein the predicted image represents a predicted dose distribution of the second particle on the detector.

Wherein, the second particle is the particle irradiated on the detector simulated according to the radiotherapy plan to be verified, and the second particle information of the second particle is consistent with the first particle information described in Embodiment 1 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. Thus, according to the second particle information and the generated modeling results, a predicted image of the second particle irradiating on the detector can be simulated.

Specifically, optionally, the Monte Carlo algorithm can be used to calculate the energy fluence distribution map of the virtual radiotherapy beam on the detector. Each radiotherapy beam is composed of a large number of the same type Composed of the second particles: the predicted image is calculated according to the energy fluence distribution map and the modeling results of the detector, and the predicted image can represent the predicted dose distribution of the second particle on the detector, which is a virtual radiotherapy beam Dose distribution on the detector.

On this basis, if the modeling results include photon modeling results and electronic modeling results, then according to the second particle information and photon modeling results, the photon prediction image of the second particle irradiating on the detector can be predicted; according to the The information of the two particles and the result of electron modeling can predict the electron prediction image of the second particle irradiated on the detector; furthermore, according to the photon prediction image and the electron prediction image, the prediction image can be generated. That is, the predicted image is a comprehensive predicted result of photon modeling results and electronic modeling results.

S220. Acquire a measured image of the second particle irradiating on the detector, and compare the difference between the measured image and the predicted image. The measured image represents a real dose distribution of the second particle on the detector.

Among them, the linear accelerator emits radiotherapy beams with a certain dose distribution according to the radiotherapy plan to be verified, and each radiotherapy beam is composed of a large number of second particles of the same type with the same energy and the same direction. When the beam is irradiated on the surface of the detector, the detector will image the induction signal of the second particle in the radiotherapy beam irradiated on it according to its internal photosensitive element, and obtain the measured image actually detected by the detector. Therefore, The measured image can represent the real dose distribution of the radiation therapy beams emitted on the detector based on the radiation therapy plan to be verified, that is, the real dose distribution of the second particles actually emitted on the detector.

It should be noted that, usually, because the detector is in a high-speed acquisition state, the detector can detect multiple actual images for each radiotherapy beam in the radiotherapy plan. Therefore, the multiple actual images can be The images are superimposed, such as superimposing the gray values of the corresponding pixel points of each measured image, and using the superimposed result as a measured image. Further, if there are multiple radiation therapy beams in the radiation therapy plan, multiple measured images generated under each radiation therapy beam can be processed separately, so that each radiation therapy beam can correspond to a measured image .

After obtaining the predicted image simulated by the second particle on the detector and the measured image actually collected, the difference between the two can be compared, and the difference can represent the degree of agreement between the measured image and the predicted image. According to the The degree of coincidence can verify whether the corresponding radiation therapy plan is reasonable, thereby assisting doctors to adjust the radiation therapy plan. On this basis, optionally, this comparison process can be realized by a gamma pass evaluation algorithm. Specifically, the gamma value of the image is calculated through the gamma function, and the gamma function is as follows:

分别为计算点(即，预测图像中的像素点)和参考点(即，实测图像中的像素点)，

为计算点和参考点的剂量差，

为计算点和参考点的距离，ΔD和Δd分别为预先设置的剂量容差和距离容差。由此，根据伽马函数可以计算参考点的伽马值：in,

are calculation points (that is, pixels in the predicted image) and reference points (that is, pixels in the measured image), respectively,

is the dose difference between the calculation point and the reference point,

For the distance between the calculation point and the reference point, ΔD and Δd are the preset dose tolerance and distance tolerance, respectively. Thus, the gamma value of the reference point can be calculated according to the gamma function:

则通过，若

则未通过。这样一来，计算通过点占总计算点百分比即可获得实测图像的伽马通过率，根据伽马通过率即可确定实测图像和预测图像间的差异性。The corresponding gamma evaluation criterion is, if

pass if

is not passed. In this way, the gamma pass rate of the measured image can be obtained by calculating the percentage of pass points in the total calculation points, and the difference between the measured image and the predicted image can be determined according to the gamma pass rate.

According to the technical solution of the embodiment of the present invention, by obtaining the second particle information of the second particle on the detector and the modeling result of the detector, a predicted image of the second particle irradiating on the detector can be simulated; furthermore, Through the obtained measured image of the second particle irradiating on the detector, the similarity between the measured image and the predicted image can be compared, and the similarity can be used to verify the rationality of the radiotherapy plan corresponding to the second particle. The above technical solution reduces the time-consuming calculation of the predicted image and improves the calculation accuracy of the predicted image due to the use of the generated detector modeling results, thus realizing the rapid and accurate calculation of the radiation treatment dose in the radiation treatment plan. The effect of precise verification.

In order to better understand the specific implementation process of the above steps, the method for verifying the radiotherapy dose in this embodiment will be exemplarily described below in conjunction with specific examples.

Exemplarily, as shown in Figure 7, taking a head and neck dynamic intensity-modulated plan (dIMRT) as an example, the radiotherapy plan has 9 radiotherapy beams in total, in which solid water (a phantom) is placed, and the solid The dimensions of the water are 30cm x 30cm x 15cm with the center of solid water at the isocenter of the machine. According to the light source model and the phantom information, the second particle information of the second particle on the detector surface can be calculated by using the Monte Carlo algorithm, and the second particle information includes type, energy and incident angle. It should be noted that the light source in the light source model can be considered as a collection of a large number of second particles. After a large number of second particles are extracted from the light source model and irradiated to the phantom, the phantom will change the second particles of these second particles Therefore, the second particle information of the second particle on the detector surface can be calculated according to the light source model and phantom information. Further, the predicted image is calculated according to the second particle information and the generated modeling results of the detector response, and the predicted image is compared with the measured image to obtain the gamma pass rate of the measured image.

It has been verified by experiments that if the energy and incident angle of photons and the energy and incident angle of electrons are considered in the modeling process of the detector response, the predicted image, measured image and gamma value image of the first radiotherapy beam are as follows: As shown in Figure 8a, (a) is the predicted image, (b) is the measured image, and (c) is the gamma value image; if only the energy of the photon is considered in the modeling process of the detector response, the first The predicted image, measured image and gamma value image of the radiotherapy beam are shown in Figure 8b, where (a) is the predicted image, (b) is the measured image, and (c) is the gamma value image, compared with Figure 8a and It can be seen from Figure 8b that in Figure 8b, compared with the measured image, the value of the predicted image is low, and the gamma pass rate drops significantly.

The technical solution above is a treatment quality assurance solution before radiotherapy, which adopts a forward mode, implements a radiotherapy plan before treating patients, and records actual measured images through a detector. It should be noted that this technical solution is used to verify the dose of radiation therapy, not for treatment, so when acquiring the measured image, there is no phantom in the radiation therapy beam. Moreover, based on the Monte Carlo algorithm, TPS can accurately predict the predicted image corresponding to the measured image. Furthermore, the gamma pass rate can be used to quantitatively compare the difference between the measured image and the predicted image, thereby verifying whether the beam output state of the linac meets expectations.

In addition, the modeling results of the detector response can also be applied to the related fields of detector imaging, and the image correction can be completed by considering the second particle information. For example, in the field of EPID imaging, assisting in the completion of image-guided radiotherapy is also an important function of EPID, and to obtain high-quality cone beam computer tomography (CBCT) images, it usually requires EPID The image implements a series of image corrections, such as spectral hardening correction, scatter correction and so on. The usual method of this image correction scheme is to establish the modeling results of the detector response first, and then to further complete the correction of the measured image by simulating and quantitatively calculating the influence of factors such as energy spectrum hardening and scattering on the image quality.

Embodiment Three

FIG. 9 is a structural block diagram of a detector response modeling device provided in Embodiment 3 of the present invention, and the device is used to implement the detector response modeling method provided in any of the above embodiments. This device belongs to the same inventive concept as the modeling method of the detector response in the above-mentioned embodiments. For details not described in detail in the embodiments of the modeling device of the detector response, you can refer to the above-mentioned modeling method of the detector response the embodiment. Referring to FIG. 9 , the device may specifically include: a structural model acquisition module 310 , a first particle information acquisition module 320 and a modeling module 330 .

Wherein, the structure model obtaining module 310 is used to obtain the structure model of the detector to be modeled;

The first particle information acquisition module 320 is configured to acquire the first particle information of the first particle on the detector, wherein the first particle information may include at least one of type and incident angle, and energy, and the type may include photons or electrons ;

The modeling module 330 is configured to simulate the response value of the first particle on the detector according to the structural model and the information of the first particle, and determine the modeling result according to the response value.

Optionally, the modeling module 330 may specifically include:

The photon modeling unit is used for the first particle including the first photon, simulates the photon response value of the first photon on the detector according to the structure model and the first photon information of the first photon, and determines the photon modeling unit according to the photon response value model result;

The electronic modeling unit is used for the first particle and also includes the first electron, and simulates the electronic response value of the first electron on the detector according to the structure model and the first electronic information of the first electron, and determines the electron response value according to the electronic response value. modeling results.

Optionally, the modeling module 330 may specifically include:

The energy deposition simulation unit is used to separately simulate the energy deposition of the first particles corresponding to each first particle information on the detector, and determine the modeling according to each energy deposition and the first particle information corresponding to each energy deposition result.

Optionally, the detector may include an electronic portal imaging device, and/or the modeling result may include a detector response surface.

The detector response modeling device provided in Embodiment 3 of the present invention, through the cooperation of the structural model acquisition module, the first particle information acquisition module and the modeling module, acquires the structural model of the detector to be modeled and the simulated irradiation in The first particle information of the first particle on the detector can simulate the response value of the first particle on the detector according to the structure model and the first particle information, and determine the modeling result according to the response value. The above-mentioned device takes into account the type and/or incident angle and energy of the first particle at the same time, thereby adding electronic response modeling and/or incident angle modeling to the modeling process of the detector response, realizing the detector The multi-dimensional modeling effect of the multi-particle type of the response improves the modeling accuracy of the detector response.

The detector response modeling device provided in the embodiments of the present invention can execute the detector response modeling method provided in any embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the method.

It is worth noting that, in the above-mentioned embodiments of the detector response modeling device, the included units and modules are only divided according to functional logic, but are not limited to the above-mentioned divisions, as long as the corresponding functions can be realized ; In addition, the specific names of each functional unit are only for the convenience of distinguishing each other, and are not used to limit the protection scope of the present invention.

Embodiment Four

Fig. 10 is a structural block diagram of a radiotherapy dose verification device provided in Embodiment 4 of the present invention, and the device is used to implement the radiotherapy dose verification method provided in any of the above-mentioned embodiments. This device belongs to the same inventive concept as the verification method of radiotherapy dose in the above-mentioned embodiments. For the details not described in detail in the embodiment of the verification device of radiotherapy dose, you can refer to the above-mentioned embodiment of the verification method of radiotherapy dose . Referring to FIG. 10 , the device may specifically include: a predicted image prediction module 410 and an image comparison module 420 .

Among them, the predicted image prediction module 410 is used to obtain the second particle information of the second particle on the detector and the modeling result determined according to the modeling method of the detector response described in any embodiment of the present invention, according to the second particle information and modeling results to predict a predicted image of the second particle impinging on the detector;

An image comparison module 420, configured to acquire the measured image of the second particle irradiated on the detector, and compare the similarity between the measured image and the predicted image;

Wherein, the predicted image represents the predicted dose distribution of the second particle on the detector, and the measured image represents the real dose distribution of the second particle on the detector.

Optionally, the predicted image prediction module 410 may specifically include:

The photon prediction image prediction unit is used to predict the photon prediction image of the second particle irradiated on the detector according to the second particle information and the photon modeling result for the modeling result including the photon modeling result;

The electron predictive image prediction unit is used for modeling results and also includes electronic modeling results, and predicts the electron predictive image of the second particle irradiating on the detector according to the second particle information and the electronic modeling results;

A predictive image generation unit is used to generate a predictive image according to the photon predictive image and the electron predictive image.

The radiotherapy dose verification device provided in Embodiment 4 of the present invention can simulate the second particle irradiation by predicting the second particle information of the second particle on the detector acquired by the image prediction module and the modeling result of the detector. The predicted image on the detector; furthermore, the measured image of the second particle irradiated on the detector obtained by the image comparison module can compare the similarity between the measured image and the predicted image, and the similarity can be used to verify the similarity with the second particle. Particles correspond to the rationality of the radiotherapy plan. The above device reduces the time-consuming calculation of the predicted image and improves the calculation accuracy of the predicted image due to the use of the generated detector modeling results, thus realizing the rapid and accurate calculation of the radiation treatment dose in the radiation treatment plan Verify the effect.

The radiotherapy dose verification device provided in the embodiments of the present invention can execute the radiotherapy dose verification method provided in any embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the method.

It is worth noting that, in the embodiment of the radiation therapy dose verification device described above, the units and modules included 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, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the protection scope of the present invention.

Embodiment five

FIG. 11 is a schematic structural diagram of a device provided by Embodiment 5 of the present invention. As shown in FIG. 11 , the device includes a memory 510 , a processor 520 , an input device 530 and an output device 540 . The number of processors 520 in the device can be one or more, and one processor 520 is taken as an example in FIG. In FIG. 11, the connection through the bus 550 is taken as an example.

The memory 510, as a computer-readable storage medium, can be used to store software programs, computer-executable programs and modules, such as the program instructions/modules corresponding to the modeling method of the detector response in the embodiment of the present invention (for example, the detector response The structural model acquisition module 310, the first particle information acquisition module 320 and the modeling module 330) in the modeling device of the present invention, and the program instructions/modules corresponding to the verification method of radiation therapy dose in the embodiment of the present invention (for example, radiation The prediction image prediction module 410 and the image comparison module 420 in the device for verifying the treatment dose). The processor 520 executes various functional applications and data processing of the device by running the software programs, instructions and modules stored in the memory 510, that is, realizes the above-mentioned modeling method of the detector response or the verification of the above-mentioned radiation therapy dose method.

The memory 510 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application program required by at least one function; the data storage area may store data created according to the use of the device, and the like. In addition, the memory 510 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage devices. In some instances, the memory 510 may further include memory located remotely from the processor 520, and these remote memories may be connected to the device through a network. Examples of the aforementioned networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The input device 530 can be used for receiving inputted numerical or character information, and generating key signal input related to user settings and function control of the device. The output device 540 may include a display device such as a display screen.

Embodiment six

Embodiment 6 of the present invention provides a storage medium containing computer-executable instructions, and the computer-executable instructions are used to perform a modeling method of a detector response when executed by a computer processor. The method includes:

Obtain the structural model of the detector to be modeled;

acquiring first particle information of the first particle on the detector, wherein the first particle information includes at least one of type and incident angle, and energy, and the type includes photon or electron;

According to the structure model and the information of the first particle, the response value of the first particle on the detector is simulated, and the modeling result is determined according to the response value.

Certainly, a storage medium containing computer-executable instructions provided by an embodiment of the present invention, the computer-executable instructions are not limited to the method operations described above, and may also implement the detector response suggestions provided by any embodiment of the present invention. Related operations in the modulo method.

Embodiment seven

Embodiment 7 of the present invention provides a storage medium containing computer-executable instructions, and the computer-executable instructions are used to perform a radiation therapy dose verification method when executed by a computer processor. The method includes:

Acquiring the second particle information of the second particle on the detector and the modeling result determined according to the modeling method of the detector response described in any embodiment of the present invention, and predicting the second particle information and the modeling result according to the second particle information and the modeling result Predicted images of particles falling on the detector;

acquiring the measured image of the second particle irradiating on the detector, and comparing the similarity between the measured image and the predicted image;

Wherein, the predicted image represents the predicted dose distribution of the second particle on the detector, and the measured image represents the real dose distribution of the second particle on the detector.

Certainly, a storage medium containing computer-executable instructions provided by an embodiment of the present invention, the computer-executable instructions are not limited to the method operations described above, and can also perform the verification of radiation therapy dose provided by any embodiment of the present invention Related operations in the method.

Through the above description about the implementation mode, those skilled in the art can clearly understand that the present invention can be realized by means of software and necessary general-purpose hardware, and of course it can also be realized by hardware, but in many cases the former is a better implementation mode . Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as a floppy disk of a computer , read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), flash memory (FLASH), hard disk or optical disc, etc., including several instructions to make a computer device (which can be a personal computer, A server, or a network device, etc.) executes the methods described in various embodiments of the present invention.

Note that the above are only preferred embodiments of the present invention and applied technical principles. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the protection scope of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and can also include more other equivalent embodiments without departing from the concept of the present invention, and the present invention The scope is determined by the scope of the appended claims.

Claims (9)

1. A method of modeling a 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;

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;

the first particle comprises a first photon and a first electron, and the 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 comprise:

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;

according to the structural model and first electronic information of the first electrons, simulating electronic response values of the first electrons on the detector, and determining electronic modeling results according to the electronic response values.

2. 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.

3. 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.

4. A method of validating a radiation therapy dose, comprising:

acquiring second particle information of second particles on a detector and a modeling result determined according to the method of any one of claims 1-3, predicting a predictive image of the second particles illuminating 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.

5. The method according to claim 4, 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 of the second particle 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.

6. 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 obtaining module for obtaining first particle information of a first particle on the detector, wherein the first particle information includes at least one of a type and an incident angle, and an energy, and the type includes a photon or an electron;

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;

the modeling module specifically comprises:

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.

7. 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 3, 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.

8. An electronic device, characterized in that the device 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 1-3, or a method of verification of a radiation treatment dose as recited in any of claims 4-5.

9. 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 1-3 or the method for verifying a radiation therapy dose according to any one of claims 4-5.

Images