CN109785931A - Based on Optimum distribution formula cloud radiotherapy planning system and application method, storage medium - Google Patents
Based on Optimum distribution formula cloud radiotherapy planning system and application method, storage medium Download PDFInfo
- Publication number
- CN109785931A CN109785931A CN201711101199.7A CN201711101199A CN109785931A CN 109785931 A CN109785931 A CN 109785931A CN 201711101199 A CN201711101199 A CN 201711101199A CN 109785931 A CN109785931 A CN 109785931A
- Authority
- CN
- China
- Prior art keywords
- task
- master control
- calculating
- managed computer
- planning system
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- Medical Treatment And Welfare Office Work (AREA)
- Radiation-Therapy Devices (AREA)
Abstract
The invention belongs to field of medical technology and field of cloud computer technology, it is related to a kind of cloud radiotherapy planning system and application method, storage medium.The system includes managed computer, network communication module and master control Cloud Server；The network communication module and the managed computer and the master control Cloud Server communicate to connect；The master control Cloud Server, which is used to define, to be calculated die body, Target delineations and defines calculating parameter, optimizes allocation schedule task, and monitor managed computer execution；The operating instruction that the managed computer is used to receive the sending of master control Cloud Server carries out judgement task execution, executes calculating task, feedback calculating progress and calculated result.System provided by the invention can reduce the operating pressure of the cloud computing server when formulating radiotherapy planning system, reduce cost；Operation efficiency can also be improved；The distribution of computer service efficiency is uneven between solving the problems, such as different regions, reduces the wasting of resources, more tumor patients can be served by integrating global resource.
Description
Technical field
The invention belongs to field of medical technology and field of cloud computer technology, are related to a kind of cloud radiotherapy planning system (also referred to as cloud
Radiotherapy treatment planning system) and application method, storage medium.
Background technique
Radiotherapy is also known as radiotherapy, is now widely used for oncotherapy；The most widely used electro-medical of radiotherapy
High-energy photon caused by sub- linear accelerator or electronics are treated.And it is directed to the tumour cell of radiation resistance, at present
Also actively develop the radiation source with high relative biological effect (relative biological effectiveness, RBE),
Such as proton therapeutic, heavy particle therapy, neutron capture treatment.
Radiotherapy planning system is that radiation modality is determined with the help of dedicated computer system, calculates the radiation modality
As a result, radiation modality is adjusted again, until satisfaction.Treatment plan is during radiotherapy technology especially accurate radiotherapy technology is realized
Pivot link.The use for the treatment of planning systems needs to have the physics teacher and doctor Jing Guo especially training of professional experiences, Chinese medicine
Teacher determines tumor target and jeopardizes organ, clinical dosage requirement, evaluation therapeutic scheme, and physics teacher is then responsible for designing and modifies irradiation
Scheme, doctor's evaluation result, the various treatments of output are assisted from dosimeter angle needed for other technical works such as data.
The effects for the treatment of planning systems at least that: 1, the three-dimensional building of interactive faultage image is provided for clinician
Tool；2, the geometric description of body surface, target area and vital tissue, organ can be accurately determined；3, precise measurement target area provides phase
The quantitative data answered；4, doctor and physics teacher's designated treatment scheme are assisted；5, the spatial distribution between calculating dosage is organized in vivo
And it intuitively shows；6, treatment plan scheme is evaluated and optimized；7, the verifying for implementing treatment plan, determines remedial measure.
In the prior art, " treatment planning systems and its application method based on cloud computing " (publication number
CN106621071A), the treatment planning systems which provides include at least one main control end, network communication module and cloud computing
Server, main control end are used to define irradiation and irradiated body geometry, organ, range of tumor, material, irradiating angle and setting correlometer
Parameter needed for calculating, main control end, which proposes to calculate, to be required and will calculate data transmission to cloud computing service by the network communication module
Device, which, which is used to judge to calculate, executes order of priority and carries out radial migration calculating according to the order of priority of setting
Or Rapid Dose Calculation or radiation intensity distribution calculate, cloud computing server passes correspondence back according to data source by network communication module
Main control end.However, the system must define the relevant parameters such as die body by the main control end of local main control end, then data are sent out
Toward cloud computing server, this method belongs to method " from bottom to top ", does not account for Optimized Operation, leads to inefficiency, and
And can not efficent use of resources, cause server to need extremely strong operational capability, considerably increase operating cost, use also not side
Just.
In radiotherapy technology field, by Cloud Server control multiple managed computers in the way of can very convenient increase and
Calculate node is reduced, multi-party resource is efficiently used.Meanwhile there is the good computer of a large amount of calculated performance to be distributed in the world at present
Various regions, and utilization rate is extremely uneven, and big city central hospital uses often very frequently, and two or three line city utilization rates are then big
It beats and then detains, if it is possible to make full use of this resource that can greatly reduce the wasting of resources simultaneously, improve its people's for great
Economic benefit, more tumor patients can be served by integrating global resource.
Summary of the invention
It is an object of the invention to overcome radiotherapy (treatment) planning management in the above-mentioned prior art based on cloud computing
Cloud computing server calculates that pressure is big, medical system resource especially radiotherapy technology field high-performance computer utilization rate in platform
The defects of uneven and provide a kind of based on Optimum distribution formula cloud radiotherapy planning system and application method, storage medium.
To achieve the above object, the invention adopts the following technical scheme:
A kind of radiotherapy planning system, including managed computer, network communication module and master control Cloud Server；The network
Communication module and the managed computer and the master control Cloud Server communicate to connect；The master control Cloud Server is used to define
It calculates die body, Target delineations and definition and calculates relevant parameter, optimize allocation schedule task, and monitor managed computer execution；
The operating instruction that the managed computer is used to receive Cloud Server sending carries out judgement task execution, executes calculating task, is anti-
Present calculating progress and calculated result.
What the optimization allocation schedule task was determined by establishing Optimized model, the Optimized model includes optimization mesh
Mark and constraint condition.
The optimization aim includes but is not limited to minimum completion time, at most completes task, one in network minimal
Or multiple groups be combined into optimization aim；The constraint condition includes but is not limited to determine current task quantity, workable net
One or more combinations in the task completion rate distribution of network distribution, the distribution of workable managed computer or managed computer.
The optimization allocation schedule task includes the following steps:
A) Optimized model parameter initialization: including defining target and determining the initialization of constraint condition relevant parameter；
B) it is iteratively solved using optimization algorithm: being calculated using Unconstrained Optimization Algorithms, constrained optimization method or intelligent optimization
Method iterative solution；
C) result exports: optimum results include priority, used Internet resources and the computer money of distribution task
Source.
The master control Cloud Server can be defined by multi-user calculates die body, Target delineations and the related ginseng of definition calculating
Number；
The master control Cloud Server can require optimization distribution and scheduling calculating task according to the calculating of current user, including
But it is not limited to excellent to managed computer transmission calculating task, closing calculating task, transfer calculating task, switching on and shutting down management, task
One of first sequence management or tasks secure management are a variety of.
Preferably, the master control Cloud Server is monitored managed computer, if it find that any one controlled calculating
Machine is out of touch, then the task of the managed computer is reassigned to an other managed computer.
The monitoring method includes but is not limited to: active transmission or passively receive heartbeat packet, activly request or by
It is dynamic to receive calculating progress, activly request or passive reception calculated result relevant information.
Preferably, can be independently operated, according to default can also be with for the resource of the multi-user of the master control Cloud Server
Shared to use, the independent application method includes but is not limited to sandbox technology, virtual machine technique；The shared use includes
But it is not limited to shared drive, shared data bank, shared storage device.
Preferably, can hide automatically according to the needs of users can also be with for the patients' privacy information of the master control Cloud Server
It does not hide；
The managed computer is calculated for the relevant algorithm of radiotherapy planning system, for but not limited to Rapid Dose Calculation,
Optimization calculates, image reconstruction, dosage verifying and Program Assessment.
The execution calculating task of the managed computer includes that the Task-decomposing that will receive is appointed at subtask, execution
Business.
The managed computer can reallocate to task, be assigned as subtask, including but not limited to by task
It is assigned as GPU parallel task, CPU parallel task, CPU-GPU hybrid parallel task.
The judgement task execution of managed computer is after managed computer receives the task that master control Cloud Server is sent, first
Judge whether capable of the completing to distribute of the task, if it is not, current task state is fed back to master control Cloud Server and is requested
Master control Cloud Server gives the task schedule of distribution to other managed computers；Continue to decompose son times if being able to carry out
Business, subtasking, feedback calculating progress and result.
The present invention also provides a kind of application method based on Optimum distribution formula cloud radiotherapy planning system, this method include with
Lower step:
The definition of the master control Cloud Server calculates the step of die body, Target delineations and definition calculate relevant parameter；
The master control Cloud Server propose to calculate require and by the network communication module will calculate data transmission extremely by
Control Framework computing, monitoring managed computer, optimization allocation schedule task correlation step；
The managed computer receive task, judge task execution, execute calculating task, feedback calculating progress msg and
The step of feeding back calculated result.
The execution of each step in above-mentioned Optimized Operation step, the application method based on Optimum distribution formula cloud radiotherapy planning system
Sequence does not limit successively.
Wherein, in the step S2, master control Cloud Server requires optimization distribution and scheduling according to the calculating of current user
Calculating task will calculate data transmission to managed computer by network communication module.The optimization distribution is calculated with scheduling
Task includes excellent to managed computer transmission calculating task, closing calculating task, transfer calculating task, switching on and shutting down management, task
One of first sequence management or tasks secure management are a variety of.
In the step S2, master control Cloud Server is monitored managed computer, when any one controlled meter of discovery
Calculation machine is out of touch, then the task of the managed computer is reassigned to an other managed computer.Preferably, monitoring side
Method include: active transmission or passively receive heartbeat packet, activly request or it is passive receive calculating progress, activly request or by
It is dynamic to receive calculated result relevant information.
In the step S3, algorithm of the managed computer for radiotherapy planning system is calculated；Preferably, algorithm calculates packet
Include Rapid Dose Calculation, optimization calculates, image reconstruction, dosage verifying or Program Assessment it is one or more.
In the step S3, the execution calculating task of managed computer include by received Task-decomposing at subtask,
Subtasking；Task-decomposing is one of following subtask or a variety of by managed computer: GPU parallel task, CPU are parallel
Task or CPU-GPU hybrid parallel task.
Wherein, the resource of the multi-user of the master control Cloud Server is independently used or is shared according to default and uses:
The method independently used includes sandbox technology or virtual machine technique；Shared use includes shared drive, shared data bank or shared
Store equipment；
The master control Cloud Server can also according to the needs of users to patients' privacy information carry out automatically hide or not
It hides.
The present invention also provides a kind of computer storage mediums, are stored thereon with computer program, the computer program quilt
Processor, which executes, realizes above-mentioned the step of being based on Optimum distribution formula cloud radiotherapy planning System Utilization Procedure.
The present invention compared with the existing technology, has the following advantages and beneficial effects:
(1) present invention can reduce the operating pressure of the cloud computing server when formulating radiotherapy planning system, reduce cost；
Operation efficiency can also be improved simultaneously；
(2) present invention also can solve the problem of computer service efficiency distribution unevenness between different zones, greatly reduce resource
Waste improves national economic benefit simultaneously, by great, and integrating each region even global resource can serve more
More tumor patients.
Detailed description of the invention
Fig. 1 is the device structure schematic diagram based on cloud radiotherapy planning system in the embodiment of the present invention.
Fig. 2 is the man-machine configuration diagram based on cloud radiotherapy planning system in the embodiment of the present invention.
Fig. 3 is the logic diagram based on cloud radiotherapy planning system in the embodiment of the present invention.
Fig. 4 is the application method flow chart based on cloud radiotherapy planning system in the embodiment of the present invention.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.
Embodiment 1
The present invention provides one kind to be based on Optimum distribution formula cloud radiotherapy planning system.As shown in Fig. 1~2, which includes
Managed computer, network communication module and master control Cloud Server；Wherein, network communication module and managed computer and master control cloud
Server communication connection；User (doctor or physics teacher) defined by master control Cloud Server calculate die body, Target delineations and
Define calculating parameter；Master control Cloud Server optimizes allocation schedule task, and monitors managed computer execution；Managed computer is used to
It receives the operating instruction that Cloud Server issues and carries out judgement task execution, execute calculating task, feedback calculating progress and calculate and tie
Fruit.
The optimization allocation schedule task of main control server is determined by establishing Optimized model.Wherein, Optimized model packet
Include optimization aim and constraint condition；Optimization aim includes one in minimum completion time, most completion tasks or minimum charge
Or multiple combination；Task quantity, workable network distribution, workable controlled calculating before constraint condition includes determining when
Machine distribution, the task completion rate distribution of managed computer.Wherein Optimized Operation includes the following steps:
A) Optimized model parameter initialization: including defining target and determining the initialization of constraint condition relevant parameter；
B) it is iteratively solved using optimization algorithm: being calculated using Unconstrained Optimization Algorithms, constrained optimization method or intelligent optimization
Method iterative solution；
C) result exports: optimum results include priority, used Internet resources and the computer money of distribution task
Source.
Wherein, master control Cloud Server requires optimization distribution and scheduling calculating task according to the calculating of current user, wherein institute
The optimization distribution stated includes calculating managed computer transmission calculating task, closing calculating task, transfer with scheduling calculating task
One of task, switching on and shutting down management, the management of task order of priority or tasks secure management are a variety of.
Master control Cloud Server is monitored managed computer, when finding that any one managed computer is out of touch, then
The task of the managed computer is reassigned to an other managed computer.In a preferred embodiment, master control cloud
Server includes: active transmission to the monitoring method of managed computer or passively receives heartbeat packet, activly request or passive
Receive calculating progress relevant information.
Preferably, in the present embodiment, the resource of the multi-user of master control Cloud Server is independently used or is total to according to default
Enjoy use: the method independently used includes sandbox technology or virtual machine technique；Shared use includes shared drive, shared data bank
Or shared storage device；Master control Cloud Server hide or do not hide automatically to patients' privacy information according to the needs of users.
Algorithm of the managed computer for radiotherapy planning system calculates；It includes Rapid Dose Calculation that algorithm, which calculates, and optimization calculates, figure
As rebuilding, dosage verifying or Program Assessment it is one or more.
The execution calculating task of managed computer includes the Task-decomposing that will receive into subtask, subtasking.It is controlled
Task-decomposing is one of following subtask or a variety of by computer: GPU parallel task, CPU parallel task or CPU-GPU are mixed
Merging rows task.
Attached drawing 3 is the logic diagram based on cloud radiotherapy planning system in the embodiment of the present invention.The cloud provided according to the present invention
Radiotherapy planning system, firstly, user (doctor or physics teacher) defined by master control Cloud Server calculate die body, Target delineations with
And calculating parameter is defined, after managed computer receives the task of master control Cloud Server distribution, first judge that can task execute, if
Current managed computer finds can not the completing to distribute of the task after judging, then current task state is fed back to master control cloud
Server simultaneously requests master control Cloud Server by the task schedule of distribution to other managed computers；Then should if it is determined that being able to carry out
Managed computer continues to execute calculating task (including decomposing subtask, subtasking), feedback calculating progress and calculate
As a result the step of.
Embodiment 2
To ensure patient privacy and medical information safety, in the Optimum distribution formula cloud radiotherapy planning system that embodiment 1 provides
On the basis of, the master control Cloud Server in cloud radiotherapy planning system provided in this embodiment can also be according to the needs of users to trouble
Person's privacy information is hidden automatically.
Embodiment 3
As shown in Fig. 4, the present invention provides the application method based on Optimum distribution formula cloud radiotherapy planning system, the use
Method includes:
The definition of S1 master control Cloud Server calculates the step of die body, Target delineations and definition calculate relevant parameter；
S2 master control Cloud Server propose to calculate require and by the network communication module will calculating data transmission to controlled
Computer, monitoring managed computer, optimization allocation schedule task correlation step；
S3 managed computer receives task, executes calculating task, feedback calculates progress msg and feed back calculated result
Step.
Wherein, in step S2, master control Cloud Server requires optimization distribution and dispatches to calculate to appoint according to the calculating of current user
Business will calculate data transmission to managed computer by network communication module.Optimization distribution with scheduling calculating task include to by
Control computer send calculating task, close calculating task, transfer calculating task, switching on and shutting down management, the management of task order of priority or
One of tasks secure management is a variety of.
In step S2, master control Cloud Server is monitored managed computer, when any one managed computer of discovery loses
It goes to contact, then the task of the managed computer is reassigned to an other managed computer.Preferably, monitoring method packet
Include: active transmission passively receives heartbeat packet, activly request or passive reception calculating progress, activly request or passively connects
Receive calculated result relevant information.
In step S3, algorithm of the managed computer for radiotherapy planning system is calculated；Preferably, it includes dosage that algorithm, which calculates,
Calculate, optimization calculates, image reconstruction, dosage verifying or Program Assessment it is one or more.
In step S3, the execution calculating task of managed computer include by received Task-decomposing at subtask, execute son
Task；Task-decomposing is one of following subtask or a variety of by managed computer: GPU parallel task, CPU parallel task or
CPU-GPU hybrid parallel task.
Wherein, the resource of the multi-user of master control Cloud Server is independently used or is shared according to default and uses: independently being made
Method includes sandbox technology or virtual machine technique；It is shared to be set using including shared drive, shared data bank or shared storage
It is standby；
Master control Cloud Server can also hide or do not hide automatically to patients' privacy information according to the needs of users.
Above-mentioned steps execution sequence does not limit successively.
Embodiment 4
A kind of computer storage medium, is stored thereon with computer program, which is executed by processor realization
The step of Optimum distribution formula cloud radiotherapy planning System Utilization Procedure is based in above-described embodiment 3.
It should be appreciated that various technologies described herein are realized together in combination with hardware or software or their combination.From
And some aspects of method or method of the invention of the invention or part can take insertion tangible media, such as floppy disk,
The form of program code (instructing) in CD-ROM, hard disk drive or other any machine readable storage mediums,
In be loaded into the machine of such as computer etc when program, and when being executed by the machine, which becomes to practice of the invention set
It is standby.
By way of example and not limitation, computer-readable medium includes computer storage media and communication media.It calculates
Machine storage medium stores the information such as computer readable instructions, data structure, program module or other data.Communication media one
As with the modulated message signals such as carrier wave or other transmission mechanisms embody computer readable instructions, data structure, program
Module or other data, and including any information transmitting medium.Above any combination is also included within computer-readable
Within the scope of medium.
It is provided by the invention that radiation technique can be effectively reduced based on Optimum distribution formula cloud radiotherapy planning system and application method
The pressure of cloud computing server in field improves the meter that radiotherapy is based particularly on the treatment planning systems of neutron capture treatment
Calculate efficiency；Computer service efficiency distributes uneven problem between also can solve different regions, greatly reduces the wasting of resources simultaneously, drops
The cost of low clouds calculation server improves national economic benefit for great, and integrating global resource can serve more
More tumor patients.
This hair can be understood and applied the above description of the embodiments is intended to facilitate those skilled in the art
It is bright.Person skilled in the art obviously easily can make various modifications to these embodiments, and described herein
General Principle is applied in other embodiments without having to go through creative labor.Therefore, the present invention is not limited to implementations here
Example, those skilled in the art's announcement according to the present invention, improvement and modification made without departing from the scope of the present invention all should be
Within protection scope of the present invention.
Claims (10)
1. one kind is based on Optimum distribution formula cloud radiotherapy planning system, it is characterised in that: the cloud radiotherapy planning system includes controlled
Computer, network communication module and master control Cloud Server；
The network communication module and the managed computer and the master control Cloud Server communicate to connect；
The master control Cloud Server, which is used to define, to be calculated die body, Target delineations and defines calculating parameter, and optimization allocation schedule is appointed
Business, and monitor managed computer execution；
The operating instruction that the managed computer is used to receive the sending of master control Cloud Server carries out judgement task execution, executes calculating
Task, feedback calculating progress and calculated result.
2. according to claim 1 be based on Optimum distribution formula cloud radiotherapy planning system, it is characterised in that:
The optimization allocation schedule task is determined by establishing Optimized model, wherein the Optimized model includes excellent
Change target and constraint condition；
Preferably, the optimization aim include minimum completion time, at most complete one in number of tasks or minimum charge or
The multiple combinations of person；
Preferably, task quantity, workable network distribution, workable controlled meter before the constraint condition includes determining when
The distribution of calculation machine or the task completion rate distribution of managed computer.
3. according to claim 1 or 2 be based on Optimum distribution formula cloud radiotherapy planning system, it is characterised in that: described is excellent
Change scheduler task to include the following steps:
A) Optimized model parameter initialization: including defining target and determining the initialization of constraint condition relevant parameter；
B) it is iteratively solved using optimization algorithm: being changed using Unconstrained Optimization Algorithms, constrained optimization method or intelligent optimization algorithm
In generation, solves；
C) result exports: optimum results include priority, used Internet resources and the computer resource of distribution task.
4. according to claim 1 be based on Optimum distribution formula cloud radiotherapy planning system, it is characterised in that: the master control cloud clothes
Business device passes through multi-user and defines calculating die body, Target delineations and define calculating parameter；
Or the master control Cloud Server requires distribution and scheduling calculating task according to the calculating of current user, wherein the distribution
It include sending calculating task to managed computer, closing calculating task, transfer calculating task, switching on and shutting down pipe with scheduling calculating task
One of reason, the management of task order of priority or tasks secure management are a variety of.
5. according to claim 1 be based on Optimum distribution formula cloud radiotherapy planning system, it is characterised in that: the master control cloud clothes
Business device is monitored managed computer, when finding that any one managed computer is out of touch, then by the managed computer
Task is reassigned to an other managed computer.
6. being based on Optimum distribution formula cloud radiotherapy planning system according to claim 1 or 5, it is characterised in that: the prison
Prosecutor method include: active transmission or passively receive heartbeat packet, activly request or it is passive receive calculating progress, activly request or
Person passively receives calculated result relevant information.
7. according to claim 1 be based on Optimum distribution formula cloud radiotherapy planning system, it is characterised in that: the master control cloud clothes
The resource of the multi-user of business device is independently used according to default or shared use: preferably, the method independently used
Including sandbox technology or virtual machine technique；Described is shared using including shared drive, shared data bank or shared storage device；
Or the master control Cloud Server hide or do not hide automatically to patients' privacy information according to the needs of users.
8. according to claim 1 be based on Optimum distribution formula cloud radiotherapy planning system, it is characterised in that: the controlled meter
Algorithm of the calculation machine for radiotherapy planning system calculates；Preferably, it includes Rapid Dose Calculation that the algorithm, which calculates, and optimization calculates, figure
As rebuilding, dosage verifying or Program Assessment it is one or more；
The execution calculating task of the managed computer includes resolving into subtask, subtasking；
Or Task-decomposing is one of following subtask or a variety of by the managed computer: GPU parallel task, CPU are simultaneously
Row task or CPU-GPU hybrid parallel task.
9. a kind of such as application method according to any one of claims 1 to 8 based on Optimum distribution formula cloud radiotherapy planning system,
It is characterized by: the application method includes:
The definition of the master control Cloud Server calculates the step of die body, Target delineations and definition calculate relevant parameter；
The master control Cloud Server, which proposes to calculate, to be required and will calculate data transmission to controlled master by the network communication module
Machine calculates, monitoring managed computer, optimizes allocation schedule task correlation step；
The managed computer receives task, judges task execution, executes calculating task, feedback calculating progress msg and feedback
The step of calculated result.
10. a kind of computer storage medium, is stored thereon with computer program, which is executed by processor realization such as
Step as claimed in claim 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711101199.7A CN109785931A (en) | 2017-11-10 | 2017-11-10 | Based on Optimum distribution formula cloud radiotherapy planning system and application method, storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711101199.7A CN109785931A (en) | 2017-11-10 | 2017-11-10 | Based on Optimum distribution formula cloud radiotherapy planning system and application method, storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109785931A true CN109785931A (en) | 2019-05-21 |
Family
ID=66484255
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711101199.7A Pending CN109785931A (en) | 2017-11-10 | 2017-11-10 | Based on Optimum distribution formula cloud radiotherapy planning system and application method, storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109785931A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110428453A (en) * | 2019-07-30 | 2019-11-08 | 深圳云天励飞技术有限公司 | Data processing method, device, data processing equipment and storage medium |
| CN115328620A (en) * | 2022-10-15 | 2022-11-11 | 神州医疗科技股份有限公司 | Method and system for dynamically starting TPS based on virtual technology |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102780759A (en) * | 2012-06-13 | 2012-11-14 | 合肥工业大学 | Cloud computing resource scheduling method based on scheduling object space |
| CN103841208A (en) * | 2014-03-18 | 2014-06-04 | 北京工业大学 | Cloud computing task scheduling method based on response time optimization |
| CN104331321A (en) * | 2014-10-09 | 2015-02-04 | 冷明 | Cloud computing task scheduling method based on tabu search and load balancing |
| EP2786354A4 (en) * | 2011-11-30 | 2015-07-22 | Nokia Corp | Method and apparatus for web-based augmented reality application viewer |
| CN106621071A (en) * | 2015-10-28 | 2017-05-10 | 南京中硼联康医疗科技有限公司 | Treatment plan system based on cloud computing, and application method of treatment plan system |
-
2017
- 2017-11-10 CN CN201711101199.7A patent/CN109785931A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2786354A4 (en) * | 2011-11-30 | 2015-07-22 | Nokia Corp | Method and apparatus for web-based augmented reality application viewer |
| CN102780759A (en) * | 2012-06-13 | 2012-11-14 | 合肥工业大学 | Cloud computing resource scheduling method based on scheduling object space |
| CN103841208A (en) * | 2014-03-18 | 2014-06-04 | 北京工业大学 | Cloud computing task scheduling method based on response time optimization |
| CN104331321A (en) * | 2014-10-09 | 2015-02-04 | 冷明 | Cloud computing task scheduling method based on tabu search and load balancing |
| CN106621071A (en) * | 2015-10-28 | 2017-05-10 | 南京中硼联康医疗科技有限公司 | Treatment plan system based on cloud computing, and application method of treatment plan system |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110428453A (en) * | 2019-07-30 | 2019-11-08 | 深圳云天励飞技术有限公司 | Data processing method, device, data processing equipment and storage medium |
| CN115328620A (en) * | 2022-10-15 | 2022-11-11 | 神州医疗科技股份有限公司 | Method and system for dynamically starting TPS based on virtual technology |
| CN115328620B (en) * | 2022-10-15 | 2023-02-03 | 神州医疗科技股份有限公司 | Method and system for dynamically starting TPS based on virtual technology |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Gupta et al. | Image-guided radiation therapy: Physician's perspectives | |
| US10369381B2 (en) | System and method for robust intensity-modulated proton therapy planning | |
| EP3742702B1 (en) | Standardized cloud radiotherapy planning method and storage medium | |
| Vanderstraeten et al. | Automated instead of manual treatment planning? A plan comparison based on dose-volume statistics and clinical preference | |
| Das et al. | Analysis of treatment planning time among systems and planners for intensity-modulated radiation therapy | |
| CN107715314A (en) | Radiotherapy system and method based on deep learning | |
| Guidi et al. | A support vector machine tool for adaptive tomotherapy treatments: prediction of head and neck patients criticalities | |
| Ojerholm et al. | Pencil-beam scanning proton therapy for anal cancer: a dosimetric comparison with intensity-modulated radiotherapy | |
| Pokharel et al. | Assessment of efficacy in automated plan generation for Varian Ethos intelligent optimization engine | |
| Lin et al. | Automated hypofractionated IMRT treatment planning for early-stage breast cancer | |
| Yang et al. | Long-term breast cancer patient outcomes after adjuvant radiotherapy using intensity-modulated radiotherapy or conventional tangential radiotherapy | |
| McCowan et al. | Clinical implementation of a model-based in vivo dose verification system for stereotactic body radiation therapy–volumetric modulated arc therapy treatments using the electronic portal imaging device | |
| Matney et al. | Perturbation of water‐equivalent thickness as a surrogate for respiratory motion in proton therapy | |
| CN109785931A (en) | Based on Optimum distribution formula cloud radiotherapy planning system and application method, storage medium | |
| Diamant et al. | Comparing local control and distant metastasis in NSCLC patients between CyberKnife and conventional SBRT | |
| Andersen et al. | A method for evaluation of proton plan robustness towards inter-fractional motion applied to pelvic lymph node irradiation | |
| Van Dyk | Quality assurance of radiation therapy planning systems: current status and remaining challenges | |
| Perdrizet et al. | A cost-utility analysis of magnetic resonance (MR) guided brachytherapy versus two-dimensional and computed tomography (CT) guided brachytherapy for locally advanced cervical cancer | |
| Frederick et al. | Performance of a knowledge‐based planning model for optimizing intensity‐modulated radiotherapy plans for partial breast irradiation | |
| Bhagroo et al. | Secondary monitor unit calculations for VMAT using parallelized Monte Carlo simulations | |
| Kallis et al. | Automated treatment planning framework for brachytherapy of cervical cancer using 3D dose predictions | |
| Aland et al. | Accuracy and efficiency of graphics processing unit (GPU) based Acuros XB dose calculation within the Varian Eclipse treatment planning system | |
| Spalding et al. | Evaluation of a new hybrid VMAT-IMRT multi-criteria optimization plan generation algorithm | |
| Pejavar et al. | Computer-assisted, atlas-based segmentation for target volume delineation in whole pelvic IMRT for prostate cancer | |
| Dragojević et al. | Assessing the performance of an automated breast treatment planning software |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190521 |