CN111145866A - Dose determination method and device, computer equipment and storage medium - Google Patents
Dose determination method and device, computer equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the invention discloses a dose determination method, a dose determination device, computer equipment and a storage medium, wherein the method comprises the following steps: generating a dose optimization target function, wherein the dose optimization target function comprises a first weight parameter, a maximum dose parameter corresponding to a target point outside a target area, a second weight parameter corresponding to the target point and a target dose parameter corresponding to the target point, and the first weight value corresponding to the first weight parameter is determined according to the preset importance degree of the area where the target point is located; determining a second weight value corresponding to the second weight parameter and a maximum dosage value corresponding to the maximum dosage parameter according to the position relationship between the target point and the surface point of the target area; and adjusting the target dosage parameter by using the first weight value, the second weight value and the maximum dosage value to obtain a target dosage value corresponding to the target dosage parameter, so that the dosage optimization objective function meets the preset condition. The technical scheme of the embodiment of the invention improves the target area conformality of the dose distribution of each point outside the target area.
Description
Technical Field
The embodiment of the invention relates to the technical field of radiotherapy, in particular to a dose determination method, a dose determination device, computer equipment and a storage medium.
Background
Before radiation therapy, a radiation therapy plan is usually prepared, wherein radiation dose distribution calculation is the key to realizing the preparation of the radiation therapy plan.
The existing radiation dose distribution calculation of each point outside the target area usually adopts an additive dose drop function or an additive dose drop auxiliary ring structure method. However, the method adopting the additive dose drop function or the method adopting the additive dose drop assist loop structure follows the principle that all points outside the target area with the same shortest distance from the target area have the same maximum dose limit, so that the target area conformality corresponding to the obtained dose distribution of each point outside the target area is low.
Disclosure of Invention
The embodiment of the invention provides a dose determination method, a dose determination device, computer equipment and a storage medium, and improves the target area conformality of dose distribution of points outside a target area.
In a first aspect, an embodiment of the present invention provides a dose determination method, including:
generating a dose optimization objective function, wherein the dose optimization objective function comprises a first weight parameter, a maximum dose parameter corresponding to a target point outside a target area, a second weight parameter corresponding to the target point, and a target dose parameter corresponding to the target point, and a first weight value corresponding to the first weight parameter is determined according to a preset importance degree of an area where the target point is located;
determining a second weight value corresponding to the second weight parameter and a maximum dosage value corresponding to the maximum dosage parameter according to the position relationship between the target point and the surface point of the target area;
and adjusting the target dose parameter by using the first weight value, the second weight value and the maximum dose value to obtain a final target dose value corresponding to the target dose parameter, wherein the final target dose value enables the dose optimization objective function to meet preset conditions.
In a second aspect, an embodiment of the present invention further provides a dose determining apparatus, including:
the dose optimization objective function generation module is used for generating a dose optimization objective function, and the dose optimization objective function comprises a first weight parameter, a maximum dose parameter corresponding to an objective point outside a target area, a second weight parameter corresponding to the objective point and a target dose parameter corresponding to the objective point, wherein the first weight value corresponding to the first weight parameter is determined according to a preset importance degree of an area where the objective point is located;
a parameter value determining module, configured to determine, according to a position relationship between the target point and a target area surface point, a second weight value corresponding to the second weight parameter and a maximum dose value corresponding to the maximum dose parameter;
and a final target dose value determining module, configured to adjust the target dose parameter by using the first weight value, the second weight value, and the maximum dose value, so as to obtain a final target dose value corresponding to the target dose parameter, where the dose optimization objective function meets a preset condition.
In a third aspect, an embodiment of the present invention further provides a computer device, where the computer device includes:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a dose determination method as provided by any of the embodiments of the invention.
In a fourth aspect, embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements a dose determination method as provided in any of the embodiments of the present invention.
The method comprises the steps of generating a dose optimization objective function, wherein the dose optimization objective function comprises a first weight parameter, a maximum dose parameter corresponding to a target point outside a target area, a second weight parameter corresponding to the target point and a target dose parameter corresponding to the target point, wherein the first weight value corresponding to the first weight parameter is determined according to the preset importance degree of an area where the target point is located; determining a second weight value corresponding to the second weight parameter and a maximum dosage value corresponding to the maximum dosage parameter according to the position relationship between the target point and the surface point of the target area; and adjusting the target dose parameters by utilizing the first weight value, the second weight value and the maximum dose value to obtain a final target dose value corresponding to the target dose parameters, so that the dose optimization target function meets the preset conditions, and improving the target area conformality of the dose distribution of each point outside the target area by considering the influence degree of each point outside the target area on the target area.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, a brief description will be given below of the drawings required for the embodiments or the technical solutions in the prior art, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of a dose determination method according to a first embodiment of the present invention;
FIG. 2 is a flow chart of a dose determination method in a second embodiment of the present invention;
fig. 3 is a schematic structural view of a dose determining apparatus according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a computer device in the fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a dose determination method according to an embodiment of the present invention. This embodiment is applicable to the case where the radiation dose corresponding to points outside the target volume is determined. The method may be performed by a dose determining apparatus, which may be implemented in software and/or hardware, which may be configured in a computer device, for example. As shown in fig. 1, the method comprises the steps of:
s110, generating a dose optimization objective function, wherein the dose optimization objective function comprises a first weight parameter, a maximum dose parameter corresponding to a target point outside the target area, a second weight parameter corresponding to the target point and a target dose parameter corresponding to the target point, and the first weight value corresponding to the first weight parameter is determined according to the preset importance degree of the area where the target point is located.
The first weight value corresponding to the first weight parameter may be preferably determined according to a preset importance degree of a region where the target point is located, and the preset importance degree of the region where the target point is located may be preferably determined according to actual needs when a radiotherapy plan is formulated. Preferably, the higher the preset importance degree is, the larger the first weighting parameter is; illustratively, the target region may be any one of a GTV (tumor target region), a PGTV (planned tumor target region), a CTV (clinical target region), and a PTV (planned target region), the maximum dose is a maximum dose of a target point initially determined by the radiotherapy plan, and the target dose is an actual dose corresponding to the target point finally determined by the radiotherapy plan. In the course of preparing a radiotherapy plan, the target dose to the target point is required to be less than or equal to the maximum dose.
The maximum dose parameter is a function related to the shortest distance between the target point and the target area, and the specific expression thereof can be as follows:
wherein the content of the first and second substances,
the shortest distance of the target point v from the target surface,
(x) is a drop function and has the following characteristics: f (x) is not less than 0, and when x1>x2When, f (x)1)≤f(x2) That is, the shortest distance between the target point v and the target surface is larger, the maximum dose corresponding to the target point v is smaller, and when the shortest distances between two or more target points v and the target surface are the same, the maximum dose corresponding to the target point v is also the same.
Generally, for each point outside the target region and having the same distance from the target region, the radiation dose values determined by using the existing dose optimization objective function are all the same, resulting in a lower target region conformality of the dose values corresponding to the target point outside the target region. Where target conformality is a fit that describes the dose distribution and target shape of conformal radiation therapy.
Preferably, the dose value of the radiation at points outside the target region having the same distance from the target region can be adjusted by considering the degree of influence of the target region on the target point, thereby improving the target conformality of the dose value. Preferably, a dose optimization objective function may be reconstructed, which may further include a second weight related to the influence degree of the target region on the target point, in addition to the first weight parameter, the maximum dose parameter corresponding to the target point outside the target region, and the target dose parameter corresponding to the target point.
And S120, determining a second weight value corresponding to the second weight parameter and a maximum dosage value corresponding to the maximum dosage parameter according to the position relation between the target point and the surface point of the target area.
Since the second weight value is related to the degree of influence of the target on the target point, the degree of influence of the target on the target point may preferably be related to the number of target surface points influencing the target point. Specifically, the larger the number of the target surface points affecting the target point is, the larger the influence degree of the target point on the target point is, and otherwise, the smaller the influence degree is. The manner of determining the number of target surface points influencing the target point may be based on the positional relationship between the target point and the target surface points. Therefore, it is preferable that the second weight value corresponding to the second weight parameter is determined based on the positional relationship between the target point and the target area surface point.
Preferably, the maximum dose value corresponding to the maximum dose parameter is determined based on the position relationship between the target point and the surface point of the target area, and the expression thereof is as follows:
wherein d isstartFor the preset dose value of the target point closest to the target zone in the planning of the radiotherapy, dendThe dose value of a target point farthest from a target area is preset when a radiotherapy plan is made, and s is the step length of the change of the dose along with the unit distance，distvThe shortest distance corresponding to the target point ν. Wherein d isstart、dendAnd s is predetermined by the radiotherapy plan.
S130, adjusting the target dose parameter by using the first weight value, the second weight value and the maximum dose value to obtain a final target dose value corresponding to the target dose parameter, wherein the target dose parameter enables the dose optimization objective function to meet the preset conditions.
Preferably, the causing of the dose optimization objective function to satisfy the preset condition may be minimizing the dose optimization objective function. The final target dose value, which minimizes the dose optimization objective function, obtained by the adjustment, approaches the determined maximum dose value. Wherein, the preset initial target dose value can be adjusted by adopting a gradient descent method.
In the dose determination method provided by this embodiment, a dose optimization objective function is generated, where the dose optimization objective function includes a first weight parameter, a maximum dose parameter corresponding to an objective point outside a target area, a second weight parameter corresponding to the objective point, and a target dose parameter corresponding to the objective point, where a first weight value corresponding to the first weight parameter is determined according to a preset importance degree of an area where the objective point is located; determining a second weight value corresponding to the second weight parameter and a maximum dosage value corresponding to the maximum dosage parameter according to the position relationship between the target point and the surface point of the target area; and adjusting the target dose parameters by utilizing the first weight value, the second weight value and the maximum dose value to obtain a final target dose value corresponding to the target dose parameters, so that the dose optimization target function meets the preset conditions, and improving the target area conformality of the dose distribution of each point outside the target area by considering the influence degree of each point outside the target area on the target area.
Example two
Fig. 2 is a flowchart of a dose determination method according to a second embodiment of the present invention. This embodiment may be combined with the alternatives of one or more of the above embodiments, in which the dose optimization objective function is expressed as follows:
wherein w is the first weight parameter; the falloffregon is the area where the target point v is located; w is avThe second weight parameter corresponding to the target point v; dvThe target dosage parameter corresponding to the target point v;
the maximum dosage parameter is the maximum dosage parameter corresponding to the target point v.
And determining a second weight value corresponding to the second weight parameter according to the position relationship between the target point and the target area surface point, including: calculating the distances between the target point and the surface points of the target area, and determining the shortest distance corresponding to the target point in the distances; determining an influence radius according to the shortest distance, wherein the influence radius corresponds to a degree of influence of the target area on the target point; determining a total number of target distances of the distances that are less than or equal to the influence radius; and determining a second weight value corresponding to the target point according to the total number.
As shown in fig. 2, the method comprises the steps of:
s210, generating a dose optimization objective function, wherein the functional expression of the dose optimization objective function is as follows:
wherein w is a first weight parameter; the falloffregon is the area where the target point v is located; w is avA second weight parameter corresponding to the target point ν; dvA target dosage parameter corresponding to the target point ν;
is the maximum dosage parameter corresponding to the target point v.
S220, calculating the distance between the target point and the surface point of the target area, and determining the shortest distance corresponding to the target point in the distance.
The existing methods for calculating the distance may be used to calculate the distance between the target point and the target surface point in this embodiment, and exemplary methods for calculating the distance between the target point and the target surface point may include an euclidean distance calculation method, a manhattan distance calculation method, a chebyshev distance calculation method, a minkowski distance calculation method, a normalized euclidean distance calculation method, a mahalanobis distance calculation method, an included angle cosine calculation method, and the like.
In this embodiment, for each target point, the distance between the target point and each point on the target surface may be calculated by using a distance calculation method. After the distances from the target point to the points on the target surface are obtained, preferably, the shortest distance from the target point to the target surface may be determined according to the size relationship between the distances.
S230, determining an influence radius according to the shortest distance, wherein the influence radius corresponds to the influence degree of the target area on the target point; determining, among the distances, a total number of target distances that are less than or equal to the influence radius; and determining a second weight value corresponding to the target point according to the total number.
Preferably, the number of target surface points affecting the target point may be determined based on an affecting radius, where the affecting radius is a radius larger than the shortest distance, and the length of the affecting radius may be set according to actual needs, and is not particularly limited herein. Illustratively, the total number of distances less than or equal to the influence radius, among all distances between the target point to points of the target surface, is the number of target surface points influencing the target point.
In this embodiment, the larger the total number of the target distances smaller than or equal to the influence radius is, the larger the total number of the target area surface points influencing the target point is, that is, the larger the influence of the target area on the target point is, the larger the second weight value corresponding to the target point is, and the smaller the second weight value is, otherwise, the target area surface points influencing the target point are. Preferably, the second weight value is greater than 1.
In another embodiment of the invention, it is preferred that the larger the shortest distance, the larger the corresponding radius of influence. Illustratively, from the shortest distance, an influence radius corresponding to the influence degree is determined, and the expression thereof may be as follows:
r＝λ·distν
wherein r is the influence radius; λ is an influence coefficient, and>1, the specific numerical value of the image coefficient can be set according to actual needs; distvThe shortest distance corresponding to the target point ν.
In another embodiment of the present invention, it is preferable that the second weight value corresponding to the target point is determined according to the total number, and an expression thereof is as follows:
ων(N)＝m+k·Nν
wherein m is more than or equal to 1, k is more than or equal to 0, NνThe total number of target distances corresponding to the target point ν that are smaller than or equal to the influence radius.
S240, determining the maximum dosage value corresponding to the maximum dosage parameter based on the position relation between the target point and the surface point of the target area.
S250, adjusting the preset initial target dosage value by utilizing the preset first weight value, the preset second weight value and the preset maximum dosage value to obtain a final target dosage value which enables the dosage optimization objective function to be minimized.
In the dose determination method provided by this embodiment, the dose optimization objective function and each parameter are embodied on the basis of the above embodiments, and the dose value of each point outside the target area is calculated through the specific dose optimization objective function and each parameter, so that the calculation of the dose to be determined is more accurate.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a dose determination device according to a third embodiment of the present invention. The dose determining means may be implemented in software and/or hardware, for example, the dose determining means may be provided in a computer device. As shown in fig. 3, the apparatus includes:
a dose optimization objective function generating module 310, configured to generate a dose optimization objective function, where the dose optimization objective function includes a first weight parameter, a maximum dose parameter corresponding to an objective point outside a target area, a second weight parameter corresponding to the objective point, and a target dose parameter corresponding to the objective point, where a first weight value corresponding to the first weight parameter is determined according to a preset importance degree of an area where the objective point is located;
a parameter value determining module 320, configured to determine, according to a position relationship between the target point and the target area surface point, a second weight value corresponding to the second weight parameter and a maximum dose value corresponding to the maximum dose parameter;
the final target dose value determining module 330 is configured to adjust the target dose parameter by using the first weight value, the second weight value, and the maximum dose value, so as to obtain a final target dose value corresponding to the target dose parameter, where the dose optimization objective function meets the preset condition.
In the dose determining method provided by this embodiment, a dose optimization objective function is generated by using a dose optimization objective function generating module, where the dose optimization objective function includes a first weight parameter, a maximum dose parameter corresponding to an objective point outside a target area, a second weight parameter corresponding to the objective point, and a target dose parameter corresponding to the objective point, where the first weight value corresponding to the first weight parameter is determined according to a preset importance degree of an area where the objective point is located; determining a second weight value corresponding to the second weight parameter and a maximum dosage value corresponding to the maximum dosage parameter according to the position relation between the target point and the surface point of the target area by using a parameter value determining module; and adjusting the target dose parameter by using the first weight value, the second weight value and the maximum dose value and using the final target dose value determination module to obtain a final target dose value corresponding to the target dose parameter, wherein the final target dose value enables the dose optimization objective function to meet the preset condition. By considering the influence degree of each point outside the target area on the target area, the target area conformality of the dose distribution of each point outside the target area is improved.
On the basis of the foregoing technical solution, further, the dose optimization objective function generation module 310 is specifically configured to: generating a dose optimization objective function, the functional expression of which is as follows:
wherein w is a first weight parameter; the falloffregon is the area where the target point v is located; w is avA second weight parameter corresponding to the target point ν; dvA target dosage parameter corresponding to the target point ν;
is the maximum dosage parameter corresponding to the target point v.
On the basis of the foregoing technical solution, further, the parameter value determining module 320 may specifically include:
the shortest distance determining unit is used for calculating the distance between the target point and the surface point of the target area and determining the shortest distance corresponding to the target point in the distance;
an influence radius determining unit, configured to determine an influence radius according to the shortest distance, where the influence radius corresponds to an influence degree of the target area on the target point;
a total number of target distances determination unit for determining, among the distances, a total number of target distances smaller than or equal to the influence radius;
a second weight value determining unit configured to determine a second weight value corresponding to the target point according to the total number.
On the basis of the technical scheme, the larger the shortest distance is, the larger the corresponding influence radius is.
On the basis of the above technical solution, further, the second weight value is greater than 1, and the larger the total number is, the larger the second weight value is.
On the basis of the foregoing technical solution, further, the second weight value determining unit may specifically be based on the following expression:
ων(N)＝m+k·Nν
wherein m is more than or equal to 1, k is more than or equal to 0, NνThe total number corresponding to the target point ν.
On the basis of the foregoing technical solution, further, the parameter value determining module 320 may specifically further be based on the following expression:
wherein d isstartFor a preset dose value of the target point closest to the target area, dendIs a preset dose value of a target point farthest from the target area, s is a variation step length of the dose along with the unit distance, distvThe shortest distance corresponding to the target point ν.
The dose determining device provided by the embodiment of the invention can execute the dose determining method provided by any embodiment, and has corresponding functional modules and beneficial effects of the executing method.
Example four
Fig. 4 is a schematic structural diagram of a computer device according to a fourth embodiment of the present invention. FIG. 4 illustrates a block diagram of an exemplary computer device 412 suitable for use in implementing embodiments of the present invention. The computer device 412 shown in FIG. 4 is only one example and should not impose any limitations on the functionality or scope of use of embodiments of the present invention.
As shown in FIG. 4, computer device 412 is in the form of a general purpose computing device. Components of computer device 412 may include, but are not limited to: one or more processors 416, a memory 428, and a bus 418 that couples the various system components (including the memory 428 and the processors 416). In addition, the computer device 412 includes a laser transmitter (not shown in fig. 4) disposed at a reference point within the reference coordinate system for transmitting the outgoing laser light.
A program/utility 440 having a set (at least one) of program modules 442 may be stored, for instance, in memory 428, such program modules 442 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. The program modules 442 generally perform the functions and/or methodologies of the described embodiments of the invention.
The computer device 412 may also communicate with one or more external devices 414 (e.g., keyboard, pointing device, display 424, etc., where the display 424 may be configurable or not as desired), one or more devices that enable a user to interact with the computer device 412, and/or any devices (e.g., network card, modem, etc.) that enable the computer device 412 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interfaces 422. Also, computer device 412 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet) through network adapter 420. As shown, network adapter 420 communicates with the other modules of computer device 412 over bus 418. It should be appreciated that although not shown in FIG. 4, other hardware and/or software modules may be used in conjunction with the computer device 412, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage, among others.
The processor 416 executes programs stored in the memory 428 in order to perform various functional applications and data processing, such as implementing dose determination methods provided by embodiments of the present invention.
EXAMPLE five
An embodiment five of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a dose determination method provided by an embodiment of the present invention, and the method includes:
generating a dose optimization target function, wherein the dose optimization target function comprises a first weight parameter, a maximum dose parameter corresponding to a target point outside a target area, a second weight parameter corresponding to the target point and a target dose parameter corresponding to the target point, and the first weight value corresponding to the first weight parameter is determined according to the preset importance degree of the area where the target point is located;
determining a second weight value corresponding to the second weight parameter and a maximum dosage value corresponding to the maximum dosage parameter according to the position relationship between the target point and the surface point of the target area;
and adjusting the target dosage parameter by using the first weight value, the second weight value and the maximum dosage value to obtain a final target dosage value corresponding to the target dosage parameter, so that the dosage optimization objective function meets the preset condition.
Of course, the computer-readable storage medium provided by the embodiments of the present invention, the computer program stored thereon, is not limited to executing the method operations described above, and may also execute the relevant operations in the computer-device-based dose determination method provided by any embodiments of the present invention.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A dose determination method, comprising:
generating a dose optimization objective function, wherein the dose optimization objective function comprises a first weight parameter, a maximum dose parameter corresponding to a target point outside a target area, a second weight parameter corresponding to the target point, and a target dose parameter corresponding to the target point, and a first weight value corresponding to the first weight parameter is determined according to a preset importance degree of an area where the target point is located;
determining a second weight value corresponding to the second weight parameter and a maximum dosage value corresponding to the maximum dosage parameter according to the position relationship between the target point and the surface point of the target area;
and adjusting the target dose parameter by using the first weight value, the second weight value and the maximum dose value to obtain a final target dose value corresponding to the target dose parameter, wherein the final target dose value enables the dose optimization objective function to meet preset conditions.
2. The method of claim 1, wherein the dose optimization objective function is functionally expressed as follows:
wherein w is the first weight parameter; the falloffregon is the area where the target point v is located; w is avThe second weight parameter corresponding to the target point v; dvThe target dosage parameter corresponding to the target point v;
the maximum dosage parameter is the maximum dosage parameter corresponding to the target point v.
3. The method according to claim 1 or 2, wherein determining a second weight value corresponding to the second weight parameter according to a positional relationship between the target point and a target area surface point comprises:
calculating the distances between the target point and the surface points of the target area, and determining the shortest distance corresponding to the target point in the distances;
determining an influence radius according to the shortest distance, wherein the influence radius corresponds to a degree of influence of the target area on the target point;
determining a total number of target distances of the distances that are less than or equal to the influence radius;
and determining a second weight value corresponding to the target point according to the total number.
4. The method of claim 3, wherein the greater the shortest distance, the greater the respective radius of influence.
5. The method of claim 3, wherein the second weight value is greater than 1, and wherein the greater the total number, the greater the second weight value.
6. The method according to claim 5, wherein the determining a second weight value corresponding to the target point according to the total number is expressed as follows:
ων(N)＝m+k·Nν
wherein m is more than or equal to 1, k is more than or equal to 0, NνThe total number corresponding to the target point ν.
7. The method according to claim 3, wherein the maximum dose value corresponding to the maximum dose parameter is determined based on the position relationship between the target point and the target surface point, and the expression thereof is as follows:
wherein d isstartFor a preset dose value of the target point closest to the target area, dendIs a preset dose value of a target point farthest from the target area, s is a variation step length of the dose along with the unit distance, distvAnd the shortest distance is the shortest distance corresponding to the target point v.
8. A dose determining device, comprising:
the dose optimization objective function generation module is used for generating a dose optimization objective function, and the dose optimization objective function comprises a first weight parameter, a maximum dose parameter corresponding to an objective point outside a target area, a second weight parameter corresponding to the objective point and a target dose parameter corresponding to the objective point, wherein the first weight value corresponding to the first weight parameter is determined according to a preset importance degree of an area where the objective point is located;
a parameter value determining module, configured to determine, according to a position relationship between the target point and a target area surface point, a second weight value corresponding to the second weight parameter and a maximum dose value corresponding to the maximum dose parameter;
and a final target dose value determining module, configured to adjust the target dose parameter by using the first weight value, the second weight value, and the maximum dose value, so as to obtain a final target dose value corresponding to the target dose parameter, where the dose optimization objective function meets a preset condition.
9. A computer device, the device comprising:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the dose determination method of any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out a dose determination method as claimed in any one of claims 1 to 7.
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030212325A1 (en) * | 2002-03-12 | 2003-11-13 | Cristian Cotrutz | Method for determining a dose distribution in radiation therapy |
| US20070127623A1 (en) * | 2003-12-12 | 2007-06-07 | Goldman Samuel P | Method and system for optimizing dose delivery of radiation |
| WO2015131962A1 (en) * | 2014-03-05 | 2015-09-11 | Siemens Aktiengesellschaft | Automatic dose control for imaging medical devices |
| US20170091387A1 (en) * | 2015-09-25 | 2017-03-30 | Varian Medical Systems International Ag. | Clinical goal treatment planning and optimization |
| CN107545137A (en) * | 2017-08-16 | 2018-01-05 | 强深智能医疗科技（昆山）有限公司 | Tumour radiotherapy plan intelligent optimization method |
| CN108711447A (en) * | 2018-05-23 | 2018-10-26 | 南方医科大学 | The strong Multipurpose Optimal Method of tune automatically based on voxel weight factor and its application |
| WO2019025460A1 (en) * | 2017-07-31 | 2019-02-07 | Koninklijke Philips N.V. | Tuning mechanism for oar and target objectives during optimization |
| CN110211664A (en) * | 2019-04-25 | 2019-09-06 | 安徽大学 | A kind of system based on machine learning Automated Design radiation treatment plan |
| CN110327554A (en) * | 2019-07-08 | 2019-10-15 | 南方医科大学 | Intensity modulated radiation therapy plan optimization method and application based on predicted dose distribution guidance |
| CN110420396A (en) * | 2019-07-11 | 2019-11-08 | 上海联影医疗科技有限公司 | A kind of radiotherapy treatment planning optimization system, device and storage medium |
-
2019
- 2019-12-25 CN CN201911360123.5A patent/CN111145866B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030212325A1 (en) * | 2002-03-12 | 2003-11-13 | Cristian Cotrutz | Method for determining a dose distribution in radiation therapy |
| US20070127623A1 (en) * | 2003-12-12 | 2007-06-07 | Goldman Samuel P | Method and system for optimizing dose delivery of radiation |
| WO2015131962A1 (en) * | 2014-03-05 | 2015-09-11 | Siemens Aktiengesellschaft | Automatic dose control for imaging medical devices |
| US20170091387A1 (en) * | 2015-09-25 | 2017-03-30 | Varian Medical Systems International Ag. | Clinical goal treatment planning and optimization |
| WO2019025460A1 (en) * | 2017-07-31 | 2019-02-07 | Koninklijke Philips N.V. | Tuning mechanism for oar and target objectives during optimization |
| CN107545137A (en) * | 2017-08-16 | 2018-01-05 | 强深智能医疗科技（昆山）有限公司 | Tumour radiotherapy plan intelligent optimization method |
| CN108711447A (en) * | 2018-05-23 | 2018-10-26 | 南方医科大学 | The strong Multipurpose Optimal Method of tune automatically based on voxel weight factor and its application |
| CN110211664A (en) * | 2019-04-25 | 2019-09-06 | 安徽大学 | A kind of system based on machine learning Automated Design radiation treatment plan |
| CN110327554A (en) * | 2019-07-08 | 2019-10-15 | 南方医科大学 | Intensity modulated radiation therapy plan optimization method and application based on predicted dose distribution guidance |
| CN110420396A (en) * | 2019-07-11 | 2019-11-08 | 上海联影医疗科技有限公司 | A kind of radiotherapy treatment planning optimization system, device and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 白雪;王彬冰;吴章文;勾成俊;侯氢;: "基于体元密度权重的调强放射治疗优化方法" * |
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