Radiotherapy treatment plan optimization workflow

US10507337B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10507337-B2
Application numberUS-201715702981-A
CountryUS
Kind codeB2
Filing dateSep 13, 2017
Priority dateSep 13, 2017
Publication dateDec 17, 2019
Grant dateDec 17, 2019

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  1. Title

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  2. Abstract

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  5. First independent claim

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  7. Citations and related patents

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Abstract

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Systems and methods for performing radiation treatment planning are provided. An exemplary system may include a processor device communicatively coupled to a memory device and configured to perform operations when executing instruction stored in the memory device. The operations may include receiving a reference treatment plan including one or more dose constraints and determining, based on the reference treatment plan, segment information of a plurality of radiation beams. The operations may also include determining a fluence map for each of the plurality of radiation beams based on the one or more dose constraints using a fluence map optimization algorithm. The operations may also include determining a dose distribution based on the fluence maps of the plurality of radiation beams. The operations may also include determining at least one beam modulation property of a new treatment plan using a warm-start optimization algorithm based on the segment information and the dose distribution.

First claim

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What is claimed is: 1. A radiotherapy treatment planning system, comprising: a memory device storing computer-executable instructions; and at least one processor device communicatively coupled to the memory device, wherein the computer-executable instructions, when executed by the at least one processor device, cause the processor device to perform operations including: receiving a reference treatment plan, the reference treatment plan including one or more dose constraints and control point information; receiving at least one medical image and a structure set not included with the received reference treatment plan; determining a new treatment plan based on the received at least one medical image and structure set; determining, based on the reference treatment plan, control point information of a plurality of radiation beams and registering the plurality of radiation beams to the received at least one medical image; determining an optimized fluence map for each of the plurality of radiation beams based on the one or more dose constraints included in the reference treatment plan, using a fluence map optimization algorithm and the received at least one medical image and structure set; determining an optimized dose distribution based on the optimized fluence maps of the plurality of radiation beams; and determining at least one beam modulation property of the new treatment plan using a warm-start optimization algorithm based on the control point information included in the reference treatment plan by optimizing shapes and/or weights of the control points and/or weights of the plurality of radiation beams to achieve the optimized dose distribution. 2. The radiotherapy treatment planning system of claim 1 , wherein the new treatment plan is for the same patient for which the reference plan was performed. 3. The radiotherapy treatment planning system of claim 1 , wherein the new treatment plan is for a different patient than for which the reference plan was performed. 4. The radiotherapy treatment planning system of claim 1 , wherein the operations further include: receiving at least one updated medical image; determining an updated structure set for the updated medical image or receiving an updated structure set; determining a difference between the updated structure set and a structure set included with the reference treatment plan; and determining modified control point information based on the difference using a segment aperture morphing algorithm and using the modified control point information for the warm start optimization. 5. The radiotherapy treatment planning system of claim 4 , wherein receiving an updated medical image includes receiving an updated medical image from the same patient for which the reference plan was performed. 6. The radiotherapy treatment planning system of claim 4 , wherein receiving an updated medical image includes receiving an updated medical image for a different patient than for which the reference plan was performed. 7. The radiotherapy treatment planning system of claim 1 , wherein the reference treatment plan is based on a predetermined plan template and the new treatment plan is for a different patient than for which the reference plan was performed. 8. The radiotherapy treatment planning system of claim 1 , wherein the control point information includes shapes of a set of multileaf collimator apertures through which the plurality radiation beams are modulated. 9. The radiotherapy treatment planning system of claim 1 , wherein the one or more dose constraints include a limitation on radiation dosage received by one or more organs at risk (OARs). 10. The radiotherapy treatment planning system of claim 1 , wherein the at least one beam modulation property of the new treatment plan includes shapes of a set of optimized multileaf collimator apertures through which the plurality of radiation beams are modulated. 11. The radiotherapy treatment planning system of claim 10 , wherein the at least one beam modulation property of the new treatment plan includes weighting factors respectively associated with the optimized multileaf collimator apertures in the set, the weighting factors indicating relative proportions of radiation doses to be delivered through the respective optimized multileaf collimator apertures. 12. A method, implemented by at least one processor device executing computer-executable instructions, for performing radiotherapy treatment planning, the method comprising: receiving a reference treatment plan, the reference treatment plan including one or more dose constraints and control point information; receiving at least one medical image and a structure set not included with the received reference treatment plan; determining a new treatment plan based on the received at least one medical image and structure set; determining, based on the reference treatment plan, control point information of a plurality of radiation beams and registering the plurality of radiation beams to the received at least one medical image; determining an optimized fluence map for each of the plurality of radiation beams based on the one or more dose constraints included in the reference treatment plan, using a fluence map optimization algorithm and the received at least one medical image and structure set; determining an optimized dose distribution based on the optimized fluence maps of the plurality of radiation beams; and determining at least one beam modulation property of the new treatment plan using a warm-start optimization algorithm based on the control point information included in the reference treatment plan by optimizing shapes and/or weights of the control points and/or weights of the plurality of radiation beams to achieve the optimized dose distribution. 13. The method of claim 12 , wherein the new treatment plan is for the same patient for which the reference plan was performed. 14. The method of claim 12 , wherein the new treatment plan is for a different patient than for which the reference plan was performed. 15. The method of claim 12 , comprising: receiving at least one updated medical image; determining an updated structure set for the updated medical image or receiving an updated structure set; determining a difference between the updated structure set and a structure set included with the reference treatment plan; and determining modified control point information based on the difference using a segment aperture morphing algorithm and using the modified control point information for the warm start optimization. 16. The method of claim 15 , wherein receiving an updated medical image includes receiving an updated medical image from the same patient for which the reference plan was performed. 17. The method of claim 15 , wherein receiving an updated medical image includes receiving an updated medical image for a different patient than for which the reference plan was performed. 18. The method of claim 15 , wherein the reference treatment plan is based on a predetermined template and the new treatment plan is for a different patient than for which the reference plan was performed. 19. The method of claim 12 , wherein the control point information includes shapes of a set of multileaf collimator apertures through which the plurality of radiation beams are modulated. 20. The method of claim 12 , wherein the one or more dose constraints include a limitation on radiation dosage received by one or more organs at risk (OARs). 21. The method of

Assignees

Inventors

Classifications

  • A61N5/1045Primary

    using a multi-leaf collimator, e.g. for intensity modulated radiation therapy or IMRT · CPC title

  • Beam delivery systems · CPC title

  • using a library of previously administered radiation treatment applied to other patients · CPC title

  • using functional images, e.g. PET or MRI · CPC title

  • taking into account the movement of the target, e.g. 4D-image based planning · CPC title

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What does patent US10507337B2 cover?
Systems and methods for performing radiation treatment planning are provided. An exemplary system may include a processor device communicatively coupled to a memory device and configured to perform operations when executing instruction stored in the memory device. The operations may include receiving a reference treatment plan including one or more dose constraints and determining, based on the…
Who is the assignee on this patent?
Elekta Inc
What technology area does this patent fall under?
Primary CPC classification A61N5/1045. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Dec 17 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).