System and method for target tracking using a quality indicator during radiation therapy
US-2018193674-A1 · Jul 12, 2018 · US
US10507337B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10507337-B2 |
| Application number | US-201715702981-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 13, 2017 |
| Priority date | Sep 13, 2017 |
| Publication date | Dec 17, 2019 |
| Grant date | Dec 17, 2019 |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
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.
Opening claim text (preview).
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
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
Related publications grouped by family.
Answers are generated from the same data shown on this page.