CN115814289A

CN115814289A - Radiotherapy plan optimization method and system based on virtual reality and radiotherapy equipment

Info

Publication number: CN115814289A
Application number: CN202211500859.XA
Authority: CN
Inventors: 贾乐成; 廖彦琬
Original assignee: Shenzhen United Imaging Research Institute of Innovative Medical Equipment
Current assignee: Shenzhen United Imaging Research Institute of Innovative Medical Equipment
Priority date: 2022-11-28
Filing date: 2022-11-28
Publication date: 2023-03-21

Abstract

The invention provides a radiotherapy plan optimization method and system based on virtual reality and radiotherapy equipment, wherein the method comprises the following steps: acquiring an initial radiotherapy plan of an interested region, and determining an optimization constraint condition of the initial radiotherapy plan; constructing a three-dimensional virtual reality model according to the region of interest and the initial radiotherapy plan; and optimizing the initial radiotherapy plan based on the three-dimensional virtual reality model and the optimization constraint condition to obtain a target radiotherapy plan. According to the method, the dosage distribution is evaluated through the three-dimensional virtual reality model with higher intuition degree, the evaluation speed can be improved, and the efficiency of obtaining a target radiotherapy plan is improved; and the feasibility of the target radiotherapy plan is improved by setting the optimization constraint conditions.

Description

Radiotherapy plan optimization method and system based on virtual reality and radiotherapy equipment

Technical Field

The invention relates to the field of radiotherapy, in particular to a radiotherapy plan optimization method and system based on virtual reality and radiotherapy equipment.

Background

The planning of radiation therapy (radiotherapy) is a complex iterative process, which includes the following specific iterative processes: a physician firstly leads image data of a patient into a radiotherapy planning system, and then delineates a target area and organs; based on the information of the target area and organs, the physician arranges the geometric positions of the irradiation field under the reference of the image data and inputs the prescribed dose and dose limit prescribed in advance, generating a radiotherapy plan and dose distribution. The physician then optimizes the radiation therapy plan and dose distribution with the goal of minimizing the dose delivered to the organs at risk without exceeding the dose limits, while achieving a uniform prescribed dose distribution in the target volume. If the dose distribution produced after one optimization iteration does not achieve the expected effect, the physician evaluates the dose distribution over the two-dimensional cross-section of the dose distribution and readjusts the plan optimization parameters based on the evaluation to optimize the radiotherapy plan and the dose distribution until a satisfactory dose distribution is obtained.

The prior art has the following technical problems: the dose distribution is evaluated on the dose distribution two-dimensional cross section, the dose distribution needs to be looked over for multiple times on each two-dimensional cross section, the dose distribution is not intuitive enough, the efficiency of obtaining a radiotherapy plan is reduced, and the optimization of the radiotherapy plan does not consider the limit performance of radiotherapy equipment for executing the radiotherapy plan, so that the obtained radiotherapy plan can not be realized.

Disclosure of Invention

In view of this, it is necessary to provide a radiotherapy plan optimization method and system based on virtual reality, and a radiotherapy device, so as to solve the technical problems in the prior art that the radiotherapy plan evaluation and optimization efficiency is low due to long evaluation time of dose distribution on a two-dimensional cross section, and the radiotherapy plan cannot be realized due to the non-consideration of the limit performance of the radiotherapy device.

In order to solve the above problem, in one aspect, the present invention provides a radiotherapy plan optimization method based on virtual reality, including:

acquiring an initial radiotherapy plan of a region of interest, and determining an optimization constraint condition of the initial radiotherapy plan;

constructing a three-dimensional virtual reality model according to the region of interest and the initial radiotherapy plan;

and optimizing the initial radiotherapy plan based on the three-dimensional virtual reality model and the optimization constraint condition to obtain a target radiotherapy plan.

In some possible implementations, the constructing a three-dimensional virtual reality model according to the region of interest and the initial radiotherapy plan includes:

determining an initial dose distribution field based on the initial radiotherapy plan;

and constructing an interested region model of the interested region and an initial dose distribution field model of the initial dose distribution field, and displaying the interested region model and the initial dose distribution field model in a distinguishing manner to obtain the three-dimensional virtual reality model.

In some possible implementations, the optimizing the initial radiotherapy plan based on the three-dimensional virtual reality model and the constrained optimization condition to obtain a target radiotherapy plan includes:

judging whether the initial radiotherapy plan needs to be optimized or not based on the three-dimensional virtual reality model and a preset dose target;

generating interactive instructions based on the initial radiotherapy plan, the dose objective and the optimization constraints when the initial radiotherapy plan needs to be optimized;

obtaining the target radiotherapy plan in response to the interactive instruction.

In some possible implementations, the region of interest includes a target and an organ-at-risk, the initial dose distribution field including an initial target dose distribution field of the target and an initial organ-at-risk dose distribution field of the organ-at-risk; the dose objectives include a target volume coverage threshold, an organ-at-risk dose threshold, a cold spot threshold, and a hot spot threshold.

In some possible implementations, the obtaining the target radiotherapy plan in response to the interactive instruction includes:

adjusting the initial target dose distribution field model and the initial organ-at-risk dose distribution field model in response to the interactive instructions, and correspondingly obtaining a target dose distribution field model and a target organ-at-risk dose distribution field model;

determining the target radiotherapy plan based on the target volume dose distribution field model and the target organ-at-risk dose distribution field model.

In some possible implementations, the virtual reality-based radiotherapy plan optimization method further includes:

evaluating the target radiotherapy plan according to the target volume dose distribution field model, the target organ-at-risk dose distribution field model, and the dose target.

In some possible implementations, the determining optimization constraints of the initial radiotherapy plan includes:

acquiring device limit parameters of a radiotherapy device executing the initial radiotherapy plan;

determining the optimization constraints based on the equipment limit parameters.

optimizing the initial radiotherapy plan based on a trigger result of a first terminal user responding to the interactive instruction to obtain the target radiotherapy plan;

the radiotherapy plan optimization method based on virtual reality further comprises the following steps:

presenting the target radiotherapy plan to at least one second end-user.

In another aspect, the present invention further provides a radiotherapy plan optimization system based on virtual reality, including:

the radiotherapy planning system comprises initial radiotherapy planning equipment and a target planning equipment, wherein the initial radiotherapy planning equipment is used for acquiring an initial radiotherapy plan of a region of interest and determining an optimization constraint condition of the initial radiotherapy plan;

the virtual reality display equipment is used for constructing a three-dimensional virtual reality model according to the region of interest and the initial radiotherapy plan;

and the virtual reality interaction equipment is used for optimizing the initial radiotherapy plan based on the three-dimensional virtual reality model and the optimization constraint condition to obtain a target radiotherapy plan.

In another aspect, the present invention also provides a radiotherapy apparatus comprising a memory and a processor, wherein,

the memory is used for storing programs;

the processor, coupled to the memory, is configured to execute the program stored in the memory to implement the steps in the virtual reality-based radiotherapy plan optimization method in any one of the possible implementations.

The beneficial effects of adopting the above embodiment are: according to the radiotherapy plan optimization method based on the virtual reality, after an initial radiotherapy plan of an interested area is obtained, a three-dimensional virtual reality model is built according to the interested area and the initial radiotherapy plan, and the dose field distribution of the initial radiotherapy plan is adjusted based on the three-dimensional virtual reality model and an optimization constraint condition, so that a target radiotherapy plan is obtained. Compared with the prior art that dose distribution is evaluated by repeatedly turning over each two-dimensional cross section, the three-dimensional virtual reality model has higher intuition degree, so that the dose distribution is evaluated based on the three-dimensional virtual reality model, the evaluation speed can be improved, and the efficiency of optimizing the radiotherapy plan is improved, namely: the efficiency of obtaining the target radiotherapy plan is improved.

Furthermore, the initial radiotherapy plan is optimized based on the three-dimensional virtual reality model and the optimization constraint condition to obtain the target radiotherapy plan, the technical problem that the generated initial radiotherapy plan cannot be realized on radiotherapy equipment can be solved by setting the optimization constraint condition, and the feasibility of the generated target radiotherapy plan is improved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without creative efforts.

FIG. 1 is a schematic view of a radiation therapy system according to an embodiment of the present invention;

FIG. 2 is a schematic view of a detailed embodiment of a radiation therapy system provided by the present invention;

fig. 3 is a flowchart illustrating a radiotherapy plan optimization method based on virtual reality according to an embodiment of the present invention;

FIG. 4 is a schematic flow chart illustrating S302 of FIG. 3 according to another embodiment of the present invention;

FIG. 5 is a flowchart illustrating an embodiment of S303 of FIG. 3 according to the present invention;

FIG. 6 is a flowchart illustrating an embodiment of S501 in FIG. 5;

FIG. 7 is a flowchart illustrating an embodiment of S503 of FIG. 5 according to the present invention;

FIG. 8 is a schematic structural diagram illustrating an initial target dose distribution field according to an embodiment of the present invention;

FIG. 9 is a schematic structural view of an embodiment of an adjusted target dose distribution field provided by the present invention;

FIG. 10 is a schematic structural diagram of an embodiment of determining optimization constraints provided by the present invention;

fig. 11 is a schematic structural diagram of an embodiment of a virtual reality-based radiotherapy plan optimization system provided in the present invention;

fig. 12 is a schematic structural diagram of a radiotherapy apparatus according to an embodiment of the present invention.

Detailed Description

The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

It should be understood that the schematic drawings are not necessarily to scale. The flowcharts used in this disclosure illustrate operations implemented according to some embodiments of the present invention. It should be understood that the operations of the flow diagrams may be performed out of order, and that steps without logical context may be performed in reverse order or concurrently. One skilled in the art, under the direction of this summary, may add one or more other operations to, or remove one or more operations from, the flowchart. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor systems and/or microcontroller systems.

References to "first", "second", etc. in embodiments of the present invention are for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicit to the number of technical features indicated. Thus, a technical feature defined as "first" or "second" may explicitly or implicitly include at least one such feature.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

The invention provides a radiotherapy plan optimization method and system based on virtual reality and radiotherapy equipment, which are respectively explained below.

Radiotherapy planning in embodiments of the present invention refers to setting or adjusting control parameters of various devices in a radiotherapy system, such as: rotation angle, etc., and therefore, the radiation therapy system will be described before showing the embodiments. As shown in fig. 1 and 2, the radiation therapy system includes a couch 100, a rotating gantry 200, and a treatment head 300, the couch 100 is movable along an axial direction of the rotating gantry 200, the treatment head 300 is carried on the rotating gantry 200, and the treatment head 300 includes: the radiation source 301, the pre-collimator 302 and the multi-leaf collimator 303, wherein the pre-collimator 302 and the multi-leaf collimator 303 are arranged on the path of the radiation beam emitted by the radiation source 301 in sequence. The radiation beam emitted by the radiation source 301 is firstly primarily conformed through the pre-collimating aperture of the pre-collimator 302, and then finally conformed through the final collimating aperture of the multi-leaf collimator 303 to define the radiation range of the radiation beam, so that the final irradiation field is adapted to the tumor shape of the patient. Therein, the multi-leaf collimator 303 comprises a multi-leaf grating.

Fig. 3 is a schematic flowchart of an embodiment of a virtual reality-based radiotherapy plan optimization method provided by the present invention, and as shown in fig. 3, the virtual reality-based radiotherapy plan optimization method includes:

s301, acquiring an initial radiotherapy plan of the region of interest, and determining an optimization constraint condition of the initial radiotherapy plan;

s302, constructing a three-dimensional virtual reality model according to the region of interest and the initial radiotherapy plan;

s303, optimizing the initial radiotherapy plan based on the three-dimensional virtual reality model and the optimization constraint condition to obtain a target radiotherapy plan.

Compared with the prior art, the radiotherapy plan optimization method based on virtual reality provided by the embodiment of the invention has the advantages that after the initial radiotherapy plan of the region of interest is obtained, the three-dimensional virtual reality model is constructed according to the region of interest and the initial radiotherapy plan, and the dose field distribution of the initial radiotherapy plan is adjusted based on the three-dimensional virtual reality model and the optimization constraint conditions to obtain the target radiotherapy plan. Compared with the prior art that dose distribution is evaluated by performing repeated review on each two-dimensional cross section, the three-dimensional virtual reality model in the embodiment of the invention has higher intuition degree, so that the dose distribution is evaluated based on the three-dimensional virtual reality model, the evaluation speed can be improved, and the efficiency of optimizing the radiotherapy plan is improved, namely: the efficiency of obtaining the target radiotherapy plan is improved.

Furthermore, the embodiment of the invention optimizes the initial radiotherapy plan based on the three-dimensional virtual reality model and the optimization constraint condition to obtain the target radiotherapy plan, can avoid the technical problem that the generated initial radiotherapy plan cannot be realized on radiotherapy equipment by setting the optimization constraint condition, and improves the feasibility of the generated target radiotherapy plan.

The obtaining method of the initial radiotherapy plan in step S301 includes, but is not limited to: generated in real time directly based on the radiotherapy planning system, or acquired from a storage medium storing the initial radiotherapy plan.

In a specific embodiment of the present invention, the manner of obtaining the initial radiotherapy plan of the region of interest is based on real-time obtaining of a radiotherapy plan system, and the specific obtaining process is as follows: firstly, a patient image is obtained, then the patient image is sketched to obtain a region of interest, and then an initial radiotherapy plan is generated according to the dose limit and the prescription dose which are determined in advance.

In some embodiments of the invention, the patient image may be an image obtained according to any one of a Computed Tomography (CT) system, a Magnetic Resonance Imaging (MRI) system, a Positron Emission Tomography (PET) system, a Cone Beam Computed Tomography (CBCT) system, or a medical Imaging system.

And the acquisition mode of the patient image includes but is not limited to: directly after scanning by the medical imaging system, or from a storage medium in which the patient images are stored.

In some embodiments of the present invention, the patient image is delineated and the region of interest is obtained by means including, but not limited to: manual sketching or automatic sketching. The automatic drawing mode includes, but is not limited to, deep learning, machine learning, artificial intelligence, graph theory and other modes.

It should be noted that: the three-dimensional virtual reality model can be arranged at the cloud end, and a plurality of terminals located at different positions can simultaneously access the cloud end and obtain the three-dimensional virtual reality model, so that the remote optimization of the initial radiotherapy plan is realized. And different terminals can carry out operations such as independent scaling and rotation on the three-dimensional virtual reality model without causing interference to other terminals. The cloud end and each terminal can be connected through 5G communication.

It should be noted that: in step S303, the initial radiotherapy plan is optimized based on the three-dimensional virtual reality model and the optimization constraint condition, and the target radiotherapy plan is obtained in two ways, one of which is forward optimization of the initial radiotherapy plan based on the three-dimensional virtual reality model and the optimization constraint condition, that is, the control parameters of each device in the radiotherapy system are directly adjusted based on the three-dimensional virtual reality model and the optimization constraint condition, so as to generate the target radiotherapy plan. The other method is to perform inverse optimization on the initial radiotherapy plan based on the three-dimensional virtual reality model and the optimization constraint condition, that is, to determine the dose distribution of the region of interest based on the three-dimensional virtual reality model and the optimization constraint condition, and to optimize the initial radiotherapy plan (i.e., the control parameters of each device in the radiotherapy system) according to the dose distribution, so as to obtain the target radiotherapy plan.

In some embodiments of the present invention, as shown in fig. 4, step S302 includes:

s401, determining an initial dose distribution field based on an initial radiotherapy plan;

s402, constructing an interested region model of the interested region and an initial dose distribution field model of the initial dose distribution field, and displaying the interested region model and the initial dose distribution field model in a distinguishing manner to obtain a three-dimensional virtual reality model.

According to the embodiment of the invention, the interesting model and the initial dose distribution field model are displayed in a distinguishing manner, so that the problem that the interesting region and the initial dose distribution field cannot be effectively distinguished when the interesting region and the initial dose distribution field are overlapped, the initial dose distribution field is estimated wrongly, and the reliability and the accuracy of the determined target radiotherapy plan are improved.

In a specific embodiment of the invention, the region of interest model is displayed as a solid, and the initial dose distribution field model is displayed as a rendering with transparency.

It should be noted that: the region-of-interest model and the initial dose distribution field model in the embodiment of the present invention may be displayed separately or in an overlapping manner according to actual requirements, for example: when only the region of interest model needs to be viewed, the initial dose distribution field model can be hidden, only the region of interest model is displayed.

In some embodiments of the present invention, as shown in fig. 5, step S303 comprises:

s501, judging whether an initial radiotherapy plan needs to be optimized or not based on the three-dimensional virtual reality model and a preset dose target;

s502, when the initial radiotherapy plan needs to be optimized, generating an interactive instruction based on the initial radiotherapy plan, the dose target and the optimization constraint condition;

s503, responding to the interactive instruction to obtain the target radiotherapy plan.

According to the embodiment of the invention, the interactive instruction is generated based on the initial radiotherapy plan, the dose target and the optimization constraint condition, so that the rationality of the generated interactive instruction can be improved. And the target radiotherapy plan is obtained by responding to the interactive instruction, so that the convenience of obtaining the target radiotherapy plan is improved, and the optimization efficiency of the initial radiotherapy plan is further improved.

The manner for judging whether the initial radiotherapy plan needs to be optimized in step S501 is as follows: the physician judges whether the initial radiotherapy plan needs to be optimized according to the three-dimensional virtual display model and the dose target or not according to experience, or a judging unit is integrated in the radiotherapy equipment for executing the initial radiotherapy plan and automatically judges whether the initial radiotherapy plan needs to be optimized according to the three-dimensional virtual display model and the dose target according to the experience through a judging unit in the radiotherapy equipment.

It should be noted that: the optimization constraint conditions in step S502 refer to the maximum portal, the limit portal shape, the portal limit position, and the dose distribution limit.

It should also be noted that: the specific way of generating the interactive instruction based on the initial radiotherapy plan, the dose target and the optimization constraint condition in step S502 may be: and inputting the initial radiotherapy plan, the dose target and the optimization constraint condition into the trained radiotherapy plan optimization network model to obtain an optimized radiotherapy plan, and generating an interactive instruction based on the difference between the optimized radiotherapy plan and the initial radiotherapy plan.

The interactive instruction generation network model may be obtained by training according to a plurality of sets of historical initial radiotherapy plans and a plurality of sets of historical optimized radiotherapy plans corresponding to the plurality of sets of historical initial radiotherapy plans, and the specific training process is not described herein again.

It should be understood that: the interactive instructions include, but are not limited to, gesture interactive instructions, voice interactive instructions, and the like. In an embodiment of the present invention, the interactive instruction is a gesture interactive instruction.

It is further noted that: the method for obtaining the target radiotherapy plan in response to the interactive instruction in step S503 includes the following two methods: the first mode is to adjust the initial dose distribution field in response to the interactive instruction, and obtain the target radiotherapy plan according to the adjusted initial dose distribution field. The second way is to obtain the target radiotherapy plan directly in response to the interactive instruction.

According to the embodiment of the invention, the diversity of the modes for obtaining the target radiotherapy plan can be improved by setting the two modes for obtaining the target radiotherapy plan.

In some embodiments of the invention, the region of interest includes a target and an organ-at-risk, the initial dose distribution field includes an initial target dose distribution field of the target and an initial organ-at-risk dose distribution field of the organ-at-risk; included in the dose target are a plurality of dose thresholds, specifically: included in the dose targets are a target coverage threshold, an organ-at-risk dose threshold, a cold spot threshold, and a hot spot threshold.

A reasonable radiotherapy plan should satisfy the following radiation dose conditions: 1. the radiotherapy dose distribution covers the target volume in as much three-dimensional space as possible and the dose on the target volume meets the dose requirement, i.e.: the target coverage should be greater than or equal to a target coverage threshold; 2. the radiotherapy dose covers as little or no organs at risk as possible to minimize damage, i.e.: the organ-at-risk dose should be less than or equal to the organ-at-risk dose threshold; 3. the entire radiotherapy dose distribution should be free of overdose points or overdose points, i.e.: the dose in both the target and the organs at risk should be less than or equal to the hot spot threshold (i.e., no hot spots are present) and greater than or equal to the cold spot threshold (i.e., no cold spots are present), that is: cold spots refer to areas of the dose distribution field that are under-dosed (under-dosed), and hot spots refer to areas of the dose distribution field that are over-dosed.

Based on the above radiotherapy dose condition, as shown in fig. 6, step S501 includes:

s601, judging whether the target coverage rate of the target area is greater than or equal to a target coverage rate threshold value or not based on the initial target area dose distribution field model;

s602, judging whether the dose of the organ at risk is less than or equal to a threshold value of the dose of the organ at risk based on the initial organ at risk dose distribution field model;

s603, judging whether cold spots exist in the target area and the organs at risk based on the initial target area dose distribution field model, the initial organ at risk dose distribution field model and the cold spot threshold value, and/or judging whether hot spots exist in the target area and the organs at risk based on the initial target area dose distribution field model, the initial organ at risk dose distribution field model and the hot spot threshold value;

s604, when the target area coverage rate of the target area is smaller than the target area coverage rate threshold value, and/or the dose of the organ at risk is larger than the dose threshold value of the organ at risk, and/or cold spots exist in the target area and the organ at risk area, and/or hot spots exist in the target area and the organ at risk area, the initial radiotherapy plan needs to be optimized.

According to the embodiment of the invention, the comprehensiveness and the accuracy of judging whether the initial radiotherapy plan needs to be optimized can be improved by judging the target area coverage rate, the dose of organs at risk, cold spots and hot spots, so that the reasonability of the determined target radiotherapy plan can be further improved.

It should be understood that: the target coverage threshold, the organ-at-risk dose threshold, the cold spot threshold, and the hot spot threshold may be set or adjusted according to actual application scenarios or empirical values, and are not specifically limited herein.

In some embodiments of the present invention, as shown in fig. 7, step S503 includes:

s701, responding to the interactive instruction to adjust an initial target region dose distribution field model and an initial organ-at-risk dose distribution field model, and correspondingly obtaining a target region dose distribution field model and a target organ-at-risk dose distribution field model;

s702, determining a target radiotherapy plan based on the target region dose distribution field model and the target organs at risk dose distribution field model.

In a specific embodiment of the present invention, both the initial target dose distribution field model and the initial organ-at-risk dose distribution field model are displayed in the form of isodose lines. The specific way of adjusting the initial target region dose distribution field model and the initial organ-at-risk dose distribution field model in response to the interactive instruction in step S701 is as follows: the isodose line is adjusted to achieve adjustment of target coverage and organ-at-risk dose.

In a specific embodiment of the present invention, as shown in fig. 8, the left solid line is the target area, the right solid line is the organs at risk, and the dashed lines inside and outside represent the 100% isodose line, the 90% isodose line, the 80% isodose line and the 70% isodose line in turn, as can be seen in fig. 8: before the isodose lines are adjusted, it can be seen that 70% of the isodose lines cover the organs at risk, and in order to reduce the limitation in the organs at risk, the 70% of the isodose lines are squeezed, so that the 70% of the isodose lines do not cover the organs at risk, and the adjusted initial target region dose distribution field is shown in fig. 9.

Further, as can be seen in fig. 9: when only 70% isodose lines are stretched through the interactive instructions, 80% isodose lines, 90% isodose lines and 100% isodose lines can be stretched step by step, synchronous adjustment of the initial target area dose distribution fields is achieved, uniform distribution of the target area isodose distribution fields is guaranteed, and reasonability of the target area isodose distribution fields is improved.

It should be understood that: when the target coverage rate of the target area is smaller than the target coverage rate threshold value, dose distribution fields such as the target area can be stretched through interactive instructions, so that the target coverage rate is improved.

In an embodiment of the present invention, the adjusting the initial target dose distribution field model and the initial organ-at-risk dose distribution field model in step S701 in response to the interactive instruction further includes: responding the interactive instruction to carry out smoothing treatment on the cold spot and/or the hot spot, wherein the smoothing process specifically comprises the following steps: and eliminating cold spots and/or hot spots through interactive instructions, and filling the doses at the cold spots and/or the hot spots with surrounding doses.

If the cold spots and/or the hot spots are not eliminated, additional dose constraints need to be added to the cold spots and/or the hot spots in the subsequent initial radiotherapy plan optimization process, so that the generated target radiotherapy plan does not include the cold spots and/or the hot spots. According to the embodiment of the invention, cold spots and/or hot spots are removed, and extra dose constraint is not required to be added in the process of generating the target radiotherapy plan, so that the generation efficiency of the target radiotherapy plan can be further improved.

In some embodiments of the present invention, step S702 specifically includes: and obtaining the dose distribution of the region of interest based on the target region dose distribution field model and the target organ-at-risk dose distribution field model, and performing reverse optimization on the initial radiotherapy plan according to the dose distribution to obtain a target radiotherapy plan.

Since the optimization constraints are determined by the device limit parameters of the radiotherapy device executing the initial radiotherapy plan, in some embodiments of the present invention, as shown in fig. 10, the determining the optimization constraints of the initial radiotherapy plan in step S301 includes:

s1001, acquiring device limit parameters of radiotherapy equipment for executing an initial radiotherapy plan;

and S1002, determining an optimization constraint condition based on the equipment limit parameters.

According to the embodiment of the invention, the optimization constraint condition is determined based on the equipment limit parameters, so that the technical problem that the generated target radiotherapy plan cannot be realized through radiotherapy equipment can be avoided, and the feasibility of the generated target radiotherapy plan is ensured.

The device limit parameters include, but are not limited to, limit control parameters of a pre-collimator, limit control parameters of a multi-leaf collimator, and limit control parameters of a gantry.

In a specific embodiment of the present invention, the pre-collimator control parameters include, but are not limited to, the size of the pre-collimator holes on the pre-collimator; the multi-leaf collimator control parameters include, but are not limited to, the number of gratings, the opening and closing angles of the gratings, and the like of the multi-leaf collimator; gantry control parameters include, but are not limited to, rotational speed of the gantry, rotational angle of the gantry, rotational direction of the gantry, and the like.

To further ensure the rationality of the generated target radiotherapy plan, in some embodiments of the present invention, after step S303, the method further includes:

the target radiotherapy plan is evaluated according to the target volume dose distribution field model, the target organ-at-risk dose distribution field model, and the dose target.

According to the embodiment of the invention, the target radiotherapy plan is evaluated according to the target region dose distribution field model, the target organ-at-risk dose distribution field model and the dose target, whether the target radiotherapy plan is reasonable or not can be quickly evaluated, and the rationality of the target radiotherapy plan is improved.

It should be understood that: the specific evaluation of the target radiotherapy plan according to the target region dose distribution field model, the target organ-at-risk dose distribution field model and the dose target is as follows: and judging whether the target coverage of the target area is greater than or equal to a target coverage threshold, whether the dose of the organ at risk is less than or equal to an organ at risk threshold and whether cold spots and hot spots exist, wherein when the target coverage of the target area is greater than or equal to the target coverage threshold, the dose of the organ at risk is less than or equal to the organ at risk threshold and the cold spots and the hot spots do not exist, the target radiotherapy plan does not need to be further optimized, otherwise, the target radiotherapy plan needs to be further optimized.

It should be noted that: if the evaluation result of the target radiotherapy plan is that the target radiotherapy plan still needs to be further optimized, the interactive instruction can be generated again, and the target radiotherapy plan is further optimized through the interactive instruction until the target radiotherapy plan does not need to be further optimized.

In order to achieve the collaborative evaluation of the target radiotherapy plan by multiple users, in some embodiments of the present invention, step S503 is specifically:

optimizing the initial radiotherapy plan based on a trigger result of the first terminal user responding to the interactive instruction to obtain a target radiotherapy plan;

then, the radiotherapy plan optimization method based on virtual reality further includes:

the target radiotherapy plan is presented to at least one second end-user.

The embodiment of the invention can synchronize the visual angle of at least one second terminal user with the visual angle of the first terminal user by setting the target radiotherapy plan obtained by the first terminal user responding to the trigger result of the interactive instruction to be displayed to at least one second terminal user, thereby realizing the collaborative evaluation. And when the first terminal and the second terminal are located at different geographical positions, the remote cooperative evaluation can be realized, the result (target radiotherapy plan) obtained by optimizing the initial radiotherapy plan by different users can be synchronized to at least one second terminal user in real time, the spatial range is broken, and the evaluation efficiency is improved.

It should be noted that: in order to remind at least one second terminal user of knowing the adjustment made by the first terminal user on the initial radiotherapy plan, when the first terminal user responds to the interactive instruction to optimize the initial radiotherapy plan, highlighting the adjustment made in the optimization process, and when the target radiotherapy plan is displayed to at least one second terminal user, synchronously displaying the highlighting to at least one second terminal user.

According to the embodiment of the invention, the adjustment of the first terminal user in the optimization process is highlighted, so that the adjustment process of the first terminal user can be synchronized to at least one second terminal user in real time, the second terminal user can know the adjustment of the first terminal user to the initial radiotherapy plan conveniently, and the evaluation efficiency of the target radiotherapy plan is further improved.

In order to better implement the radiotherapy plan optimization method based on virtual reality in the embodiment of the present invention, on the basis of the topogram image reconstruction method, correspondingly, as shown in fig. 11, the embodiment of the present invention further provides a radiotherapy plan optimization system based on virtual reality, and the radiotherapy plan optimization system 1100 based on virtual reality includes:

an initial radiotherapy planning device 1101 configured to acquire an initial radiotherapy plan of a region of interest and determine an optimization constraint condition of the initial radiotherapy plan;

the virtual reality display device 1102 is used for constructing a three-dimensional virtual reality model according to the region of interest and the initial radiotherapy plan;

and the virtual reality interaction device 1103 is configured to optimize the initial radiotherapy plan based on the three-dimensional virtual reality model and the optimization constraint condition, so as to obtain a target radiotherapy plan.

The radiotherapy plan optimization system 1100 based on virtual reality provided in the above embodiment can implement the technical solutions described in the above radiotherapy plan optimization method based on virtual reality, and the principles of the specific implementation of the modules or units may refer to the corresponding contents in the above radiotherapy plan optimization method based on virtual reality, which are not described herein again.

As shown in fig. 12, the present invention further provides a radiotherapy apparatus 1200. The radiotherapy apparatus 1200 comprises a processor 1201, a memory 1202 and a display 1203. Figure 12 shows only some of the components of a radiotherapy apparatus 1200, but it is to be understood that not all of the shown components are required and that more or fewer components may be implemented instead.

The memory 1202 may in some embodiments be an internal storage unit of the radiotherapy apparatus 1200, such as a hard disk or a memory of the radiotherapy apparatus 1200. The memory 1202 may also be an external storage device of the radiotherapy apparatus 1200 in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the radiotherapy apparatus 1200.

Further, the memory 1202 may also include both internal and external storage units of the radiotherapy apparatus 1200. The memory 1202 is used for storing application software for installing the radiotherapy apparatus 1200 and various data.

The processor 1201 may be, in some embodiments, a Central Processing Unit (CPU), a microprocessor or other data Processing chip for executing program codes stored in the memory 1202 or Processing data, such as the virtual reality-based radiotherapy plan optimization method of the present invention.

The display 1203 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch panel, or the like in some embodiments. The display 1203 is used to display information at the radiotherapy apparatus 1200 and to display a user interface for visualization. The components 1201-1203 of the radiotherapy apparatus 1200 communicate with each other over a system bus.

In some embodiments of the invention, when the processor 1201 executes the virtual reality based radiotherapy plan optimization program in the memory 1202, the following steps may be implemented:

acquiring an initial radiotherapy plan of an interested region, and determining an optimization constraint condition of the initial radiotherapy plan;

It should be understood that: the processor 1201, when executing the virtual reality based radiotherapy plan optimization program in the memory 1202, may perform other functions in addition to the above functions, which may be specifically described in the foregoing description of the corresponding method embodiments.

Further, the type of the radiotherapy apparatus 1200 mentioned in the embodiment of the present invention is not particularly limited, and the radiotherapy apparatus 1200 may be a portable radiotherapy apparatus such as a mobile phone, a tablet computer, a Personal Digital Assistant (PDA), a wearable apparatus, and a laptop computer (laptop). Exemplary embodiments of portable radiotherapy devices include, but are not limited to, portable radiotherapy devices that carry an IOS, android, microsoft, or other operating system. The portable radiotherapy device described above may also be other portable radiotherapy devices, such as a laptop computer (laptop) with a touch sensitive surface (e.g. touch panel) or the like. It should also be understood that in other embodiments of the present invention, the radiotherapy device 1200 may not be a portable radiotherapy device, but rather a desktop computer with a touch-sensitive surface (e.g., a touch panel).

Accordingly, the present application further provides a computer-readable storage medium, which is used for storing a computer-readable program or instruction, and when the program or instruction is executed by a processor, the steps or functions of the method for reconstructing a topogram image provided by the above-mentioned method embodiments can be implemented.

Those skilled in the art will appreciate that all or part of the flow of the method implementing the above embodiments may be implemented by instructing relevant hardware (such as a processor, a controller, etc.) by a computer program, and the computer program may be stored in a computer readable storage medium. The computer readable storage medium is a magnetic disk, an optical disk, a read-only memory or a random access memory.

The radiotherapy plan optimization method, system and radiotherapy equipment based on virtual reality provided by the invention are described in detail above, and the principle and implementation mode of the invention are explained in the text by applying specific examples, and the description of the above examples is only used for helping to understand the method and the core idea of the invention; meanwhile, for those skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims

1. A radiotherapy plan optimization method based on virtual reality is characterized by comprising the following steps:

2. The virtual reality-based radiotherapy plan optimization method of claim 1, wherein the constructing a three-dimensional virtual reality model according to the region of interest and the initial radiotherapy plan comprises:

3. The method of optimizing a virtual reality-based radiotherapy plan according to claim 2, wherein the optimizing the initial radiotherapy plan based on the three-dimensional virtual reality model and the constrained optimization condition to obtain a target radiotherapy plan comprises:

4. The virtual reality-based radiotherapy plan optimization method of claim 3, wherein the region of interest comprises a target and an organ-at-risk, the initial dose distribution field comprises an initial target dose distribution field of the target and an initial organ-at-risk dose distribution field of the organ-at-risk; the dose objectives include a target volume coverage threshold, an organ-at-risk dose threshold, a cold spot threshold, and a hot spot threshold.

5. The virtual reality-based radiotherapy plan optimization method of claim 4, wherein the responding to the interaction instruction to obtain the target radiotherapy plan comprises:

6. The virtual reality-based radiotherapy plan optimization method of claim 5, wherein the virtual reality-based radiotherapy plan optimization method further comprises:

7. The virtual reality-based radiotherapy plan optimization method of claim 1, wherein the determining optimization constraints of the initial radiotherapy plan comprises:

determining the optimization constraints based on the device limit parameters.

8. The virtual reality-based radiotherapy plan optimization method of claim 3, wherein the step of responding to the interactive instruction to obtain the target radiotherapy plan comprises:

presenting the target radiotherapy plan to at least one second end-user.

9. A virtual reality based radiotherapy plan optimization system, comprising:

10. A radiotherapy apparatus comprising a memory and a processor, wherein,

the memory is used for storing programs;

the processor, coupled to the memory, is configured to execute the program stored in the memory to implement the steps of the virtual reality-based radiotherapy plan optimization method of any one of claims 1 to 8.