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公开(公告)号:US20210138266A1
公开(公告)日:2021-05-13
申请号:US16605850
申请日:2018-04-20
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: Alfonso Agatino ISOLA , Rolf Juergen WEESE , Christoph NEUKIRCHEN , Steffen RENISCH , Harald Sepp HEESE , Torbjoern VIK
IPC: A61N5/10
Abstract: The invention relates to the planning of a radiation therapy treatment of at least one structure in a region of a patient body. A planning unit obtains a first treatment plan generated on the basis of a planning image of the body region and on the basis of dose objectives. Moreover, the planning unit receives a further image of the body region of the patient body, determines a transformation for generating an adapted treatment plan from the first treatment plan and/or for generating an adapted dose distribution from the dose distribution corresponding to the first treatment plan on the basis of the further image and determines an adapted treatment plan on the basis of the transformation and/or the adapted dose distribution. In accordance with the invention, the transformation on the basis of the dose objectives.
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公开(公告)号:US20220168592A1
公开(公告)日:2022-06-02
申请号:US17601121
申请日:2020-03-27
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: Christoph NEUKIRCHEN , Alfonso Agatino ISOLA , Harald Sepp HEESE , Torbjoern VIK , Rolf Jürgen WEESE , Matthieu Frédéric BAL
Abstract: A device for optimizing a radiation therapy plan (30) for delivering therapeutic radiation to a patient using a therapeutic radiation source (16) while modulated by a multi-leaf collimator (MLC) (14) includes at least one electronic processor (25) connected to a radiation therapy device (12). A non-transitory computer readable medium (26) stores instructions readable and executable by the at least one electronic processor to perform a radiation therapy plan optimization method (102) including: optimizing MLC settings of the MLC respective to an objective function wherein the MLC settings define MLC leaf tip positions for a plurality of rows of MLC leaf pairs at a plurality of control points (CPs). The optimizing is performed in two or more iterations with a resolution of the MLC settings increasing in successive iterations.
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公开(公告)号:US20200069969A1
公开(公告)日:2020-03-05
申请号:US16558509
申请日:2019-09-03
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: Harald Sepp HEESE , Torbjoern VIK , Steffen RENISCH , Daniel BYSTROV , Heinrich SCHULZ
Abstract: A resource management system for better operation of a plurality of devices. The system comprises an input interface (IN) for receiving input data including one or more characteristics of at least one work object (P1-P3) and/or including context data. The at least one work object (P1-P3) can be processed by one or more processing devices (Mij). The said processing is specified in a respective work specification (S1-S3). A predictor component (PC) of the system is configured to predict, based on the input data, a change to the work specification. The system comprises an output interface (OUT) for providing output data that represents said predicted change.
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公开(公告)号:US20220193448A1
公开(公告)日:2022-06-23
申请号:US17551642
申请日:2021-12-15
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: Rolf Juergen WEESE , Alfonso Agatino ISOLA , Maria Luiza BONDAR , Torbjoern VIK , Nick FLAESCHNER , Jens WIEGERT , Harald Sepp HEESE
IPC: A61N5/10
Abstract: The invention relates a system for assisting in planning a radiation therapy treatment provided using a treatment plan comprising irradiation parameters for controlling a delivery of radiation. The system is configured to (i) receive a first dose distribution, (ii) obtain a first objective function, which depends upon at least one parameter and a dose distribution, (iii) determine a first value of the parameter such that the first objective function fulfills a predefined criterion when being evaluated for the first value of the parameter and for a second dose distribution derived from the first dose distribution, (iii) provide the first objective function in connection with the first value of the at least one parameter to a user for modifying the first objective function to generate a second objective function, and (v) determine the treatment plan using the second objective function. Further, the invention relates to a corresponding method and computer program.
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公开(公告)号:US20210023395A1
公开(公告)日:2021-01-28
申请号:US17041763
申请日:2019-03-25
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: Harald Sepp HEESE , Torbjoern VIK , Rolf Juergen WEESE , Alfonso Agatino ISOLA , Christoph NEUKIRCHEN , Matthieu Frédéric BAL
IPC: A61N5/10
Abstract: The invention relates to a planning system (7) for planning a volumetric modulated arc radiation therapy procedure, wherein the volumetric modulated arc radiation therapy procedure includes rotating a radiation source (2), which is configured to emit a radiation beam (3) for treating a subject (4), along an arc around the subject, in order to apply the radiation beam to the subject in different treatment directions. A sequence of sub-arcs groups is provided, wherein a respective sub-arcs group comprises several sub-arcs of the arc, which are evenly distributed along the arc, wherein a treatment plan is generated by sequentially determining for each sub-arcs group treatment parameters, which define a property of the radiation beam, in the provided sequence. Determining the treatment parameters by using this sequence leads to an increased likelihood that really an optimal treatment plan is generated.
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公开(公告)号:US20190388709A1
公开(公告)日:2019-12-26
申请号:US16481998
申请日:2018-01-24
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: Alfonso Agatino ISOLA , Christoph NEUKIRCHEN , Torbjoern VIK , Harald Sepp HEESE , Rolf Juergen WEESE
IPC: A61N5/10
Abstract: The invention relates to a dynamic sliding-window-like initialization for, for example, iterative VMAT algorithms. Specifically, a dynamic sliding window conversion method is contemplated where typical dynamic VMAT constraints are taken into account to find an optimal set of suitable openings (i.e. binary masks) that can be used as quasi-feasible start initialization for any VMAT algorithm that can refine until a deliverable plan is reached. Here, a multileaf leaf tip trajectory least square constrained optimization is performed to find a set of optimal unidirectional trajectories for all MLC leaf pairs of all arc points. To ensure that a quasi-feasible (or better quasi-deliverable) solution is returned, for example, a maximum dose rate, a maximum gantry speed, a maximum leafs speed, and a maximum treatment time may be enforced.
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