CN111145866B - Dose determination method, device, computer equipment and storage medium - Google Patents
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Abstract
The embodiment of the invention discloses a dose determination method, a device, computer equipment and a storage medium, wherein the method comprises the following steps: 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 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 dose value corresponding to the maximum dose parameter according to the position relation between the target point and the target area surface point; 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, wherein the target dosage parameter enables the dosage optimization target function to meet 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
Embodiments of the present invention relate to the field of radiation therapy, and in particular, to a dose determining method, a dose determining device, a computer device, and a storage medium.
Background
Radiation treatment planning is typically performed prior to radiation treatment, with radiation dose distribution calculation being a key to achieving radiation treatment planning.
The existing radiation dose distribution calculation for each point outside the target area generally adopts an additive dose drop function or an additive dose drop auxiliary ring structure method. However, the principle followed by the method of adopting the additive dose drop function or the method of adopting the additive dose drop auxiliary ring structure is that all points with the same shortest distance from the target area outside the target area have the same maximum dose limit, so that the obtained target area has low conformality corresponding to the dose distribution of each point outside the target area.
Disclosure of Invention
The embodiment of the invention provides a dose determination method, a dose determination device, computer equipment and a storage medium, which improve the target region conformality of dose distribution of each point outside a target region.
In a first aspect, an embodiment of the present invention provides a dose determining 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 dose value corresponding to the maximum dose parameter according to the position relation between the target point and the target area surface point;
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 corresponds to the target dose parameter, and the dose optimization target function is enabled to meet a preset condition.
In a second aspect, an embodiment of the present invention further provides a dose determining apparatus, comprising:
the dose optimization objective function generation module is used for 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;
the parameter value determining module is used for determining a second weight value corresponding to the second weight parameter and a maximum dose value corresponding to the maximum dose parameter according to the position relation between the target point and the target area surface point;
and the final target dosage value determining module is used for adjusting the target dosage parameter by utilizing 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, wherein the final target dosage value is obtained by enabling the dosage optimization objective function to meet a preset condition.
In a third aspect, an embodiment of the present invention further provides a computer apparatus, the apparatus including:
one or more processors;
a storage means for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the dose determination method as provided by any embodiment of the present invention.
In a fourth aspect, embodiments of the present invention also provide a computer readable storage medium having stored thereon a computer program which when executed by a processor implements a dose determining method as provided by 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, 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 dose value corresponding to the maximum dose parameter according to the position relation between the target point and the target area surface point; 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 which enables the dose optimization objective function to meet the preset condition, and improving the target zone conformality of the dose distribution of each point outside the target zone by considering the influence degree of each point outside the target zone by the target zone.
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 prior art descriptions, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method of dose determination in accordance with a first embodiment of the present invention;
FIG. 2 is a flow chart of a method of dose determination in a second embodiment of the invention;
fig. 3 is a schematic view of a dose setting device according to a third embodiment of the invention;
fig. 4 is a schematic structural diagram of a computer device in a fourth embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.
Example 1
Fig. 1 is a flow chart of a method for determining a dose according to an embodiment of the present invention. The present embodiment is applicable to determining the radiation dose for each point outside the target area. The method may be performed by a dose determining device, which may be implemented in software and/or hardware, e.g. which may be configured in a computer apparatus. 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 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.
The first weight value corresponding to the first weight parameter may preferably be determined according to a preset importance degree of the area where the target point is located, where the preset importance degree of the area where the target point is located may preferably be determined according to actual needs when the radiotherapy plan is prepared. Preferably, the higher the preset importance degree is, the larger the first weight parameter is; the target area may be any one of GTV (tumor target area), PGTV (planned tumor target area), CTV (clinical target area) and PTV (planned target area), and the maximum dose is the maximum dose of the target point initially determined by the radiotherapy plan, and the target dose is the actual dose corresponding to the target point finally determined by the radiotherapy plan. In the course of preparing a radiation treatment plan, the target dose at 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 can be as follows:
wherein,,for the shortest distance of the target point v from the target surface, < >>f (x) is a drop function and has the following characteristics: f (x) is greater than or equal to 0, and when x 1 >x 2 When f (x) 1 )≤f(x 2 ) That is, the larger the shortest distance between the target point v and the target surface, the smaller the maximum dose corresponding to the target point v, 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 the same.
Generally, for points outside the target area having the same distance from the target area, the dose values determined by using the existing dose optimization objective function are the same, resulting in a lower target area conformality of the dose value corresponding to the target point outside the target area. Wherein target conformality is a fit describing the dose distribution and target shape of conformal radiation therapy.
Preferably, the dose value of each point outside the target region, which has the same distance from the target region, can be adjusted by considering the influence degree of the target region on the target point, so as to improve the target region conformality of the dose value. Preferably, a dose optimized objective function may be reconstructed, where the dose optimized objective function may include, 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, a second weight related to the degree of influence of the target region on the target point.
S120, determining a second weight value corresponding to the second weight parameter and a maximum dose value corresponding to the maximum dose parameter according to the position relation between the target point and the target area surface point.
Since the second weight value is related to the extent of influence of the target on the target point, which may preferably be related to the number of target surface points affecting the target point. Specifically, the greater the number of target surface points affecting the target point, the greater the extent to which the target has an impact on the target point, and vice versa. The number of target surface points affecting the target point may be determined based on the positional relationship between the target point and the target surface points. Therefore, preferably, the second weight value corresponding to the second weight parameter may be 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 positional relationship between the target point and the target surface point, and the expression is as follows:
wherein d start For preparing radiotherapy plan, presetting dose value d of nearest target point from target area end In order to prepare a radiotherapy plan, a preset dose value of a target point farthest from a target area is set, s is a change step length of a dose along with a unit distance, and dist v Is the shortest distance corresponding to the target point v. Wherein d start 、d end And 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 enabling the dose optimization target function to meet the preset condition.
Preferably, the dose optimization objective function may be such that it meets a preset condition. The resulting final target dose value, which minimizes the dose optimization objective function, is adjusted to approach the determined maximum dose value. Wherein, the gradient descent method can be adopted to adjust the preset initial target dosage value.
According to the dose determination method provided by the embodiment, the dose optimization objective function is generated, and 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, wherein 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 dose value corresponding to the maximum dose parameter according to the position relation between the target point and the target area surface point; 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 which enables the dose optimization objective function to meet the preset condition, and improving the target zone conformality of the dose distribution of each point outside the target zone by considering the influence degree of each point outside the target zone by the target zone.
Example two
Fig. 2 is a flowchart of a dose determining method according to a second embodiment of the present invention. This embodiment may be combined with each of the alternatives of one or more of the embodiments described above, in which the functional expression of the dose optimization objective function is as follows:
wherein w is the first weight parameter; the falloffugation is the region where the target point v is located; w (w) v The second weight parameter corresponding to the target point v; d (D) v The target dose parameter corresponding to the target point v;and the maximum dose parameter corresponding to the target point v is obtained.
And determining a second weight value corresponding to the second weight parameter according to the position relation between the target point and the target area surface point, including: calculating the distance between the target point and the target area surface point, and determining the shortest distance corresponding to the target point in the distance; 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 a total number of target distances of the distances less than or equal to the influencing 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 function expression of the dose optimization objective function is as follows:
wherein w is a first weight parameter; the falloffugation is the region where the target point v is located; w (w) v The second weight parameter is corresponding to the target point v; d (D) v The target dose parameter corresponding to the target point v;is the maximum dose parameter corresponding to the target point v.
S220, calculating the distance between the target point and the target area surface point, and determining the shortest distance corresponding to the target point in the distance.
The existing distance calculating methods may be used to calculate the distance between the target point and the target surface point in the present embodiment, and exemplary methods for calculating the distance between the target point and the target surface point may include a euclidean distance calculating method, a manhattan distance calculating method, a chebyshev distance calculating method, a minkowski distance calculating method, a standardized euclidean distance calculating method, a mahalanobis distance calculating method, and an included angle cosine calculating method.
In this embodiment, for each target point, a distance between the target point and each point on the surface of the target area may be calculated by using a distance calculation method. After the distances between the target points and the points on the target surface are obtained, the shortest distance between the target points and the target surface can be preferably determined according to the magnitude relation 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 a total number of target distances of the distances less than or equal to the influencing 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, wherein 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, which is not particularly limited herein. Illustratively, the total number of distances less than or equal to the influencing radius is the number of target surface points influencing the target point, out of all distances between the target point and each point of the target surface.
In this embodiment, the larger the total number of target distances smaller than or equal to the influencing radius, the more the total number of target surface points influencing the target point, that is, the larger the influence of the target area on the target point, the larger the corresponding second weight value corresponding to the target point, and vice versa. Preferably, the second weight value is greater than 1.
In a further embodiment of the invention, it is preferred that the larger the shortest distance, the larger the corresponding radius of influence. Illustratively, according to the shortest distance, an influence radius corresponding to the influence degree is determined, and the expression thereof may be as follows:
r＝λ·dist ν
wherein r is the influence radius; lambda is the influence coefficient, and the influence coefficient lambda>1, specific numerical values of the image coefficients can be set according to actual needs; dist (dist) v Is the shortest distance corresponding to the target point v.
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 the expression thereof is as follows:
ω ν (N)＝m+k·N ν
wherein m is greater than or equal to 1, k is greater than or equal to 0, N ν Is the total number of target distances for the target point v that are less than or equal to the influencing radius.
S240, determining a maximum dose value corresponding to the maximum dose parameter based on the position relation between the target point and the target area surface point.
S250, adjusting the preset initial target dosage value by using 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.
According to the dose determination method provided by the embodiment, the dose optimization objective function and the parameters are embodied on the basis of the embodiment, and the dose values of all points outside the region are calculated through the specific dose optimization objective function and the parameters, so that the calculation of the dose to be determined is more accurate.
Example III
Fig. 3 is a schematic structural view of a dose determining 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 arranged in a computer device. As shown in fig. 3, the apparatus includes:
the dose optimization objective function generating module 310 is 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 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 a first weight value corresponding to the first weight parameter is determined according to a preset importance level of an area where the target point is located;
the parameter value determining module 320 is configured to determine a second weight value corresponding to the second weight parameter and a maximum dose value corresponding to the maximum dose parameter according to a positional relationship between the target point and the target surface point;
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 that enables the dose optimization objective function to satisfy the preset condition.
According to the dose determination method provided by the embodiment, a dose optimization objective function is generated by utilizing a dose optimization objective function generation module, 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 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 dose value corresponding to the maximum dose parameter according to the position relation between the target point and the target area surface point by using a parameter value determining module; and adjusting the target dosage parameter by utilizing the first weight value, the second weight value and the maximum dosage value and utilizing the final target dosage value determining module to obtain a final target dosage value corresponding to the target dosage parameter which enables the dosage optimization target function to meet the preset condition. By considering the influence degree of each point outside the target area by the target area, the target area conformality of the dose distribution of each point outside the target area is improved.
Based on the above technical solution, further, the dose optimization objective function generating module 310 is specifically configured to: 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 falloffugation is the region where the target point v is located; w (w) v The second weight parameter is corresponding to the target point v; d (D) v The target dose parameter corresponding to the target point v;is the maximum dose parameter corresponding to the target point v.
Based on the above technical solution, further, the parameter value determining module 320 may specifically include:
a shortest distance determining unit for calculating a distance between the target point and the target area surface point, and determining a shortest distance corresponding to the target point in the distances;
an influence radius determining unit for 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;
a total number of target distances determining unit configured to determine a total number of target distances smaller than or equal to an influence radius among the distances;
and the second weight value determining unit is used for determining a second weight value corresponding to the target point according to the total number.
On the basis of the technical scheme, further, the larger the shortest distance is, the larger the corresponding influence radius is.
On the basis of the technical scheme, further, the second weight value is larger than 1, and the larger the total number is, the larger the second weight value is.
On the basis of the above technical solution, further, the second weight value determining unit may specifically be based on the following expression:
ω ν (N)＝m+k·N ν
wherein m is greater than or equal to 1, k is greater than or equal to 0, N ν Is the total number corresponding to the target point v.
Based on the above technical solution, further, the parameter value determining module 320 may specifically be further based on the following expression:
wherein d start For the preset dose value d of the nearest target point to the target area end For the preset dose value of the target point farthest from the target area, s is the change step length of the dose along with the unit distance, dist v Is the shortest distance corresponding to the target point v.
The dose determination device provided by the embodiment of the invention can execute the dose determination method provided by any embodiment, and has the corresponding functional modules and beneficial effects of the execution method.
Example IV
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 invention. The computer device 412 shown in fig. 4 is only an example and should not be construed as limiting the functionality and scope of use of embodiments of the 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, a bus 418 that connects the various system components (including the memory 428 and the processor 416). In addition, the computer device 412 includes a laser transmitter (not shown in FIG. 4) disposed at a reference point within the reference frame for emitting an outgoing laser light.
Bus 418 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus, micro channel architecture (MAC) bus, enhanced ISA bus, video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Computer device 412 typically includes a variety of computer system readable media. Such media can be any available media that is accessible by computer device 412 and includes both volatile and nonvolatile media, removable and non-removable media.
Memory 428 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 430 and/or cache memory 432. The computer device 412 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage 434 may be used to read from or write to non-removable, non-volatile magnetic media (not shown in FIG. 4, commonly referred to as a "hard disk drive"). Although not shown in fig. 4, a magnetic disk drive for reading from and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In such cases, each drive may be coupled to bus 418 via one or more data medium interfaces. Memory 428 may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of embodiments of the invention.
A program/utility 440 having a set (at least one) of program modules 442 may be stored in, for example, 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 or some combination of which may include an implementation of a network environment. Program modules 442 generally perform the functions and/or methodologies in 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., wherein the display 424 may be configured as desired), with one or more devices that enable a user to interact with the computer device 412, and/or with any device (e.g., network card, modem, etc.) that enables the computer device 412 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 422. Moreover, computer device 412 may also communicate with one or more networks such as 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 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 connection with computer device 412, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage, and the like.
The processor 416 performs various functional applications and data processing, such as implementing the dose determination methods provided by embodiments of the present invention, by running programs stored in the memory 428.
Example five
A fifth embodiment of the present invention provides a computer readable storage medium having stored thereon a computer program which when executed by a processor implements a dose determination method as provided by the embodiments of the present invention, 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 dose value corresponding to the maximum dose parameter according to the position relation between the target point and the target area surface point;
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 which enables the dose optimization target function to meet the preset condition.
Of course, the computer-readable storage medium provided by the embodiments of the present invention, on which the computer program is stored, is not limited to performing the method operations described above, but may also perform the relevant operations in the computer-device-based dose determination method provided by any of the embodiments of the present invention.
The computer storage media of embodiments of the invention may take the form of 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. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any 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 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.
The computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. 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 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 ++ 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 kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. 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, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (10)
1. A method of dose determination, 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 dose value corresponding to the maximum dose parameter according to the position relation between the target point and the target area surface point; the larger the shortest distance between the target point and the surface of the target area is, the smaller the maximum dose value corresponding to the maximum dose parameter of the target point is; the more the number of target area surface points affecting the target point is, the greater the influence degree of the target area on the target point is, the greater the second weight value corresponding to the second weight parameter is;
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 corresponds to the target dose parameter, and the dose optimization target function is enabled to meet a preset condition.
2. The method of claim 1, wherein the functional expression of the dose optimization objective function is as follows:
wherein w is the first weight parameter; the falloffugation is the region where the target point v is located; w (w) v The second weight parameter corresponding to the target point v; d (D) v The target dose parameter corresponding to the target point v;and the maximum dose parameter corresponding to the target point v is obtained.
3. The method according to claim 1 or 2, wherein determining a second weight value corresponding to the second weight parameter according to the positional relationship between the target point and the target surface point comprises:
calculating the distance between the target point and the target area surface point, and determining the shortest distance corresponding to the target point in the distance;
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 a total number of target distances of the distances less than or equal to the influencing radius;
and determining a second weight value corresponding to the target point according to the total number.
4. A method according to claim 3, wherein the greater the shortest distance, the greater the corresponding radius of influence.
5. A method according to claim 3, wherein the second weight value is greater than 1, and the greater the total number, the greater the second weight value.
6. The method of claim 5, wherein the determining a second weight value corresponding to the target point based on the total number is expressed as follows:
ω ν (N)＝m+k·N ν
wherein m is greater than or equal to 1, k is greater than or equal to 0, N ν And the total number corresponding to the target point v.
7. A method according to claim 3, wherein a maximum dose value corresponding to the maximum dose parameter is determined based on a positional relationship between the target point and a target surface point, expressed as follows:
wherein d start For the preset dose value d of the nearest target point to the target area end For the preset dose value of the target point farthest from the target area, s is the change step length of the dose along with the unit distance, dist v And the shortest distance corresponding to the target point v is set.
8. A dose-determining device, comprising:
the dose optimization objective function generation module is used for 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;
the parameter value determining module is used for determining a second weight value corresponding to the second weight parameter and a maximum dose value corresponding to the maximum dose parameter according to the position relation between the target point and the target area surface point; the larger the shortest distance between the target point and the surface of the target area is, the smaller the maximum dose value corresponding to the maximum dose parameter of the target point is; the more the number of target area surface points affecting the target point is, the greater the influence degree of the target area on the target point is, the greater the second weight value corresponding to the second weight parameter is;
and the final target dosage value determining module is used for adjusting the target dosage parameter by utilizing 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, wherein the final target dosage value is obtained by enabling the dosage optimization objective function to meet a preset condition.
9. A computer device, the device comprising:
one or more processors;
a storage means for storing one or more programs;
the 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 of claims 1-7.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements a dose determination method as claimed in any one of claims 1-7.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015131962A1 (en) * | 2014-03-05 | 2015-09-11 | Siemens Aktiengesellschaft | Automatic dose control for imaging medical devices |
| 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 |
Family Cites Families (3)
| 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 |
| EP1704502A4 (en) * | 2003-12-12 | 2008-01-23 | Univ Western Ontario | Method and system for optimizing dose delivery of radiation |
| US10446265B2 (en) * | 2015-09-25 | 2019-10-15 | Varian Medical Systems International Ag | Clinical goal treatment planning and optimization |
-
2019
- 2019-12-25 CN CN201911360123.5A patent/CN111145866B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015131962A1 (en) * | 2014-03-05 | 2015-09-11 | Siemens Aktiengesellschaft | Automatic dose control for imaging medical devices |
| 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.中国医学物理学杂志.2017,(01),第7-12页. * |
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