Methods and systems for automated planning of radiation therapy

Patent metadata

Field	Value
Publication number	US-9421397-B2
Application number	US-201113877754-A
Country	US
Kind code	B2
Filing date	Oct 6, 2011
Priority date	Oct 6, 2010
Publication date	Aug 23, 2016
Grant date	Aug 23, 2016

Abstract

Methods and systems for automated treatment planning for radiation therapy are disclosed. Such methods and systems may be useful for treatment planning for intensity-modulate radiotherapy (IMRT). Also provided are user interfaces for automated radiation therapy treatment planning.

First claim

The invention claimed is:

1. A system comprising:
a radiation therapy treatment system; and
a planning system for automatically planning a radiation therapy treatment for delivery using the radiation therapy treatment system, the planning system comprising at least one processor coupled to at least one memory having computer-readable instructions encoded thereon, wherein the processor is configured to execute the instructions for:
determining at least one region of interest for the radiation therapy treatment;
using at least one clinical requirement to be met for the radiation therapy treatment where the at least one clinical requirement is relevant to the at least one region of interest, calculating at least one current technical parameter that controls a technical operation of the radiation therapy treatment system to satisfy the at least one clinical requirement using a predefined empirical relationship, the predefined empirical relationship comprising a previous technical parameter from a previously used radiation therapy treatment plan; and
generating a treatment plan comprising a set of technical parameters, including the at least one calculated current technical parameter, for the radiation therapy treatment for delivery using the radiation therapy treatment system;

wherein the radiation therapy treatment system delivers the radiation therapy treatment according to the generated treatment plan.

2. The system of claim 1 , wherein the calculating of the at least one current technical parameter comprises using at least one optimization parameter determined from the predefined empirical relationship.

3. The system of claim 2 wherein the determined optimization parameter comprises an empirical value obtained from a lookup table.

4. The system of claim 3 wherein the lookup table contains empirical values determined from a plurality of previously used treatment plans.

5. The system of claim 2 wherein the optimization parameter is one of: a segment number, a segment area, a maximum lung distance value, and an average lung distance value.

6. The system of claim 1 wherein the at least one current technical parameter comprises at least one of: a gantry angle, a collimator angle, a collimator jaw setting, a treatment beam isocenter, and a treatment beam strength.

7. The system of claim 1 further comprising a display coupled to the processor for displaying a user interface, and an input device coupled to the processor for inputting a user-specified clinical requirement using the user interface.

8. The system of claim 7 wherein the user interface provides at least one default setting.

9. The system of claim 1 wherein the radiation therapy is for treatment of breast tissue.

10. The system of claim 1 wherein the at least one clinical requirement is one of:
specification of allowable non-target tissue in treatment field;
specification of margin of coverage of target tissue;
prioritization of coverage of target tissue;
prioritization of avoidance of non-target tissue; and
restriction of adjustments for one or more technical parameters in the set of technical parameters.

11. The system of claim 1 wherein the at least one region of interest is determined using an imaging modality selected from: magnetic resonance (MR), computer tomography (CT), cone-beam CT (CBCT), and positron emission tomography (PET).

12. The system of claim 1 wherein the determining of the at least one region of interest comprises identifying a position of at least one marker, and based at least partly on the identified marker position delineating a target volume for treatment, the region of interest comprising the delineated target volume.

13. The system of claim 12 wherein the calculating of the at least one current technical parameter is based at least partly on the identified position of the at least one marker.

14. The system of claim 1 wherein:
the determining of the at least one region of interest comprises identifying a position of at least one marker, and based at least partly on the identified marker position delineating a volume for treatment, the region of interest comprising the delineated volume; and
the processor is configured to execute the instructions for:
calculating a generated treatment field based at least partly on the calculated at least one current technical parameter;
identifying an avoid volume of the delineated volume within the calculated generated treatment field; and
repeatedly adjusting the at least one current technical parameter, and correspondingly re-calculating the generated treatment field and re-identifying the avoid volume based at least partly on the respectively adjusted at least one current technical parameter until the avoid volume is optimized at least partly in accordance with at least one optimization parameter determined from the empirical relationship.

15. The system of claim 14 wherein the at least one optimization parameter comprises minimization of the avoid volume.

16. The system of claim 14 wherein the avoid volume is optimized at least partly in accordance with at least one technical parameter limitation.

17. The system of claim 1 wherein the determining of the at least one region of interest comprises identifying a position of at least one of an anatomical feature, a radio-opaque marker, and a fluorescent marker, and, based at least partly on the identified position, delineating a target volume for treatment, the region of interest comprising the delineated target volume.

18. A method for automatically planning a radiation therapy treatment and delivering the radiation therapy treatment using a radiation therapy treatment system, the method comprising;
at a processor:
determining at least one region of interest for the radiation therapy treatment;
using at least one clinical requirement to be met for the radiation therapy treatment where the at least one clinical requirement is applied to the at least one region of interest, calculating at least one current technical parameter that controls a technical operation of the radiation therapy treatment system to satisfy the at least one clinical requirement using a predefined empirical relationship, the predefined empirical relationship comprising a previous technical parameter from a previously used radiation therapy treatment plan; and
generating a treatment plan comprising a set of technical parameters, including the at least one calculated current technical parameter, for the radiation therapy treatment for delivery using the radiation therapy treatment system; and

delivering the radiation therapy treatment according to the generated treatment plan using the radiation therapy treatment system.

19. The method of claim 18 , wherein the calculating of the at least one current technical parameter comprises using at least one optimization parameter determined from the predefined empirical relationship.

20. The method of claim 19 wherein the determined optimization parameter comprises an empirical value obtained from a lookup table.

21. The method of claim 20 wherein the lookup table contains empirical values determined from a plurality of previously used treatment plans.

22. The method of claim 19 wherein the optimization parameter is one of: a segment number, a segment area, a maximum lung distance value, and an average lung distance value.

23. The method of claim 18 wherein the determining of the at least one region of interest comprises identifying a positi

Assignees

• Purdie Thomas G
• Sharpe Michael B
• Univ Health Network

Inventors

• Purdie Thomas G
• Sharpe Michael B

Classifications

• A61N5/1045

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

• A61N5/103 Primary

  Treatment planning systems · CPC title

• A61N2005/1074

  Details of the control system, e.g. user interfaces · CPC title

• A61N2005/1041

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

• A61N5/1039 Primary

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