Streamlined, guided on-couch adaptive workflow

Patent metadata

Field	Value
Publication number	US-12133992-B2
Application number	US-202318528611-A
Country	US
Kind code	B2
Filing date	Dec 4, 2023
Priority date	Oct 18, 2018
Publication date	Nov 5, 2024
Grant date	Nov 5, 2024

Abstract

Systems and methods for implementing an adaptive therapy workflow that minimizes time needed to create a session patient model, select an appropriate plan for the treatment session, and treat the patient.

First claim

The invention claimed is:

1. A method for implementing user checkpoints in an automated adaptive radiation therapy session, comprising:
allowing a user access, via a console of a computer processing system, to a set of previously determined treatment directives for a patient, the treatment directives including information regarding planned radiation dose, planned clinical goals, planned clinical goal values, reference patient model, reference treatment plan, reference structures, list of influencer structures, and at least one reference image of the patient;
acquiring a treatment session image of the patient;
prompting the user to select one or more influencer structures from the list of influencer structures contained in the set of treatment directives and to initiate delineation of the selected influencer structures on the treatment session image;
prompting the user to evaluate the delineated influencer structures on the treatment session image;
presenting the user, via a console display, with a plurality of options based on the evaluation, the options including an option to accept the delineated influencer structures;
allowing the user to initiate propagation of selective structures included in the reference image onto the treatment session image upon acceptance of the delineated influencer structures by the user;
prompting the user to evaluate the propagated structures;
presenting the user, via the console display, with a plurality of options based on the evaluation, the options including an option to accept the propagated structures;
allowing the user to initiate generation of a first treatment plan and a second treatment plan upon acceptance of the propagated structures;
prompting the user to evaluate the generated first and second treatment plans;
presenting the user, via the console display, with a plurality of options that the user can select from based on the evaluation, the plurality of options including an option to select the first treatment plan to be executed in the current treatment session, an option to select the second treatment plan to be executed in the current treatment session, and an option to execute a contingency treatment plan for the current treatment session; and
allowing the user to select an appropriated treatment plan to be executed in the current treatment session of the adaptive radiation therapy.

2. The method of claim 1 , wherein
the selective structures include:
a first set of target structures representing contours of a primary tumor; and
a second set of target structures representing contours of one or more primarily affected organs (OARs), and

the influencer structures include:
a first set of influencer structures representing contours of one or more organs that affect one or more of a shape, size or location of one or more of the target structures; and
a second set of influencer structures representing contours of non-volumetric structures.

3. The method of claim 2 , wherein the prompting of the user to select one or more influencer structures includes:
displaying to the user the list of influencer structures available in the set of treatment directives; and
allowing the user to select the influencer structures that are appropriate for a current treatment site of the patient.

4. The method of claim 3 , wherein the prompting of the user to initiate the delineation of the selected influencer structures on the treatment session image includes:
displaying to the user a plurality of options for the delineation, the plurality of options including an option for manual delineation, an option for automatic delineation, an option for a combination of manual and automatic delineation, and an option for propagating the selected influencer structures from the reference image to the treatment session image; and
prompting the user to choose one of the displayed options.

5. The method of claim 4 , wherein when the propagating option is selected by the user, the user is further prompted to select between an option to propagate by deformable deformation or by rigid deformation.

6. The method of claim 4 , wherein when the manual option is selected by the user, the user identifies and draws the influencer structures on the treatment session image using an interactive graphical interface of the computer processing system.

7. The method of claim 4 , wherein when the automatic option is selected by the user, the influencer structures are automatically delineated using one or more automatic segmentation algorithms executed by a contour generation module of the computer processing system.

8. The method of claim 4 , wherein the prompting of the user to evaluate the delineated influencer structures on the treatment session image includes:
displaying to the user a plurality of available contour evaluation tools; and
allowing the user to select one or more of the available contour evaluation tools.

9. The method of claim 8 , wherein the contour evaluation tools include tools that allow the user to:
view the delineated influencer structures from different views on the interactive graphical interface display;
identify locations where the delineated influencer structures need correction; and
verify correctness of the delineated influencer structures.

10. The method of claim 9 , wherein the verifying the correctness of the delineated influencer structures includes:
presenting to the user the treatment session image including the delineated influencer structures and the reference image including corresponding reference influencer structures for comparison; and
the user verifying that the delineated influencer structures correspond to the reference influencer structures.

11. The method of claim 10 , wherein the presenting the user with a plurality of options based on the evaluation of the delineated influencer structures further includes displaying to the user an option to modify, redraw, or delete the delineated influencer structures using the interactive graphical interface.

12. The method of claim 4 , wherein the allowing the user to initiate the propagation of the selective structures included in the reference image onto the treatment session image includes:
displaying one or more propagation methods to the user; and
allowing the user to select a propagation method to propagate the selected structures onto the treatment session image, wherein the one or more propagation methods includes a structure-guided deformable registration method, which is a deformable registration that is guided by one or more of the selected influencer structures.

13. The method of claim 12 , wherein the prompting of the user to evaluate the propagated structures includes:
displaying to the user a plurality of available propagation evaluation tools; and
allowing the user to select one or more of the available propagation evaluation tools,
wherein the propagation evaluation tools include tools that allow the user to:
view the propagated structures on the treatment session image;
detect irregularities in the propagated structures;
identify locations where the irregularities are detected; and
verify correctness of the propagated structures.

14. The method of claim 13 , wherein the verifying includes:
displaying the treatment session image including the propagated structures and the reference image including corresponding structures for comparison; and
determining whether the propagated first set of target structures on the treatment session image represent same anatomical regions of the patient as the first set of target structures in the reference image.

15. The method of c

Assignees

• Siemens Healthineers Int Ag

Inventors

• MORGAS Tomasz
• Lessard Marco
• Gass Tobias
• Haas Benjamin
• Coradi Thomas
• Honegger Jonas
• Boylan Christopher

Classifications

• A61N2005/1074

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

• A61N5/1048

  Monitoring, verifying, controlling systems and methods · CPC title

• A61N5/1038 Primary

  taking into account previously administered plans applied to the same patient, i.e. adaptive radiotherapy · CPC title

• G06T7/0012

  Biomedical image inspection · CPC title

• A61B8/483

  involving the acquisition of a 3D volume of data · CPC title