IP Library Granted Patent US 12,478,803
Granted Patent B2
US 12,478,803 · App. 17/969,540 · Granted Nov 25, 2025

Systems, methods and computer software for optimized radiation therapy

Inventors: James F. Dempsey (Pebble Beach, CA); Iwan Kawrykow (Sofia, BG)
Assignee: ViewRay Systems, Inc.
A61N5/1039A61N5/1049A61N5/1071
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Quick Facts
Patent No.
US 12,478,803
App. No.
17/969,540
Granted
Nov 25, 2025
Kind
B2
Abstract

Systems, methods, and computer software are disclosed that allow the automatic recalling of imaging parameters from computer memory for controlling an MRI system to perform treatment-day scans of a patient on a treatment couch in a radiotherapy system, prior to treatment. The treatment-day scans can be automatically initialized and the MRI system can then be controlled to perform the treatment-day scans according to the recalled imaging parameters. Reoptimized radiation treatment plan(s) can be automatically generated and predicted doses to anatomical structures of the patient based on the plan(s) can be displayed. Clinicians can be enabled to perform numerous reoptimization tasks simultaneously through parallel workflow interfaces and then a radiation therapy device can be controlled to deliver radiation according to a selected radiation treatment plan.

Claims (39)

1 . A non-transitory, machine-readable medium storing instructions which, when executed by at least one programmable processor, cause the at least one programmable processor to perform operations comprising:

automatically recalling imaging parameters from computer memory for controlling an MRI system to perform treatment-day scans of a patient on a treatment couch prior to treatment;

automatically initializing the treatment-day scans for execution according to the recalled imaging parameters, wherein the automatically initializing occurs without user input and is performed when sensing a treatment-day scanning trigger;

automatically controlling the MRI system to perform the treatment-day scans according to the recalled imaging parameters;

automatically generating at least one reoptimized radiation treatment plan;

displaying predicted doses to anatomical structures of the patient based on the at least one reoptimized radiation treatment plan; and

controlling a radiation therapy device to deliver radiation according to a selected radiation treatment plan.

2 . The machine-readable medium of claim 1 , wherein the automatic initializing of the treatment-day scans is based on a sensor indicating a door to a treatment room is closed.

3 . The machine-readable medium of claim 1 , the operations further comprising: sensing that the patient is positioned at isocenter;

wherein the automatic initializing of the treatment-day scans is based on the sensing of the patient at isocenter.

4 . The machine-readable medium of claim 1 , wherein the imaging parameters specify imaging types comprising one or more of volumetric, 4D volumetric, and real-time 4D volumetric.

5 . The machine-readable medium of claim 1 , wherein the imaging parameters specify one or more of contrast, dimensionality, frame rate, resolution, field of view, order of scanning.

6 . The machine-readable medium of claim 1 , the automatically generating of the at least one reoptimized radiation treatment plan further comprising:

performing autocontouring of the anatomical structures of the patient;

computing a relative electron density map;

computing a 3D patient table shift; and

calculating the predicted doses to the anatomical structures.

7 . The machine-readable medium of claim 1 , the automatically generating of the at least one reoptimized radiation treatment plan further comprising:

generating reoptimized radiation treatment plans based on modifying treatment plan generation parameters, the generating stopping when one of the reoptimized treatment plans meets a treatment prescription or when a predetermined number of reoptimized radiation treatment plans are generated.

8 . The machine-readable medium of claim 1 , the operations further comprising: receiving input changing one or more features of the at least one reoptimized radiation treatment plan; and

automatically recalculating the at least one reoptimized radiation treatment plan based on the changed features.

9 . The machine-readable medium of claim 1 , the operations further comprising: displaying prescription doses to the anatomical structures concurrently with the displaying of the predicted doses.

10 . The machine-readable medium of claim 1 , the operations further comprising: imaging during treatment by the MRI system performing one or more of 2D imaging, multiplanar 2D imaging, 3D imaging, 4D imaging, and real-time 4D volumetric imaging;

wherein the controlling of the radiation therapy device is further based on the imaging.

11 . The machine-readable medium of claim 1 , the operations further comprising: automatically calculating and displaying information for controlling the radiation therapy

device based on the imaging.

12 . The machine-readable medium of claim 11 , wherein the information comprises one or more of: imaging dimensionality, imaging parameters, tissue-tracking boundaries type and generation parameters, and tissue-tracking algorithm parameters.

13 . The machine-readable medium of claim 1 , the operations further comprising providing for additional treatment plan reoptimization.

14 . The machine-readable medium of claim 13 , wherein providing for additional treatment plan reoptimization includes generation of a new reoptimized radiation treatment plan, or modification of one of the automatically generated reoptimized radiation treatment plan(s).

15 . The machine-readable medium of claim 13 , wherein providing for additional treatment plan reoptimization includes enabling clinicians to perform different reoptimization tasks simultaneously.

16 . The machine-readable medium of claim 13 , wherein providing for additional treatment plan reoptimization includes enabling multiple clinicians to perform autocontouring simultaneously.

17 . The machine-readable medium of claim 13 , wherein providing for additional treatment plan reoptimization includes enabling clinicians to attempt different reoptimization strategies simultaneously.

18 . The machine-readable medium of claim 13 , wherein providing for additional treatment plan reoptimization includes the system receiving user input modifying one or more of the reoptimized radiation treatment plan(s).

19 . The machine-readable medium of claim 18 , the operations further comprising: moving an imaging plane included in the one or more of the reoptimized radiation treatment plan(s) based on the user input; and

updating the one or more of the reoptimized radiation treatment plan(s) based on a new location of the imaging plane.

20 . The machine-readable medium of claim 1 , further comprising:

receiving user input modifying one or more of tracking parameters, dose parameters, structure shapes, or boundary parameters utilized by the system when controlling the radiation therapy device to deliver the radiation.

21 . The machine-readable medium of claim 1 , the operations further comprising receiving input from a clinician approving the selected radiation treatment plan.

22 . The machine-readable medium of claim 1 , the operations further comprising automatically determining acceptability of the reoptimized radiation treatment plan.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 12, 2024
From: VIEWRAY, INC.; VIEWRAY TECHNOLOGIES, INC.
To: VIEWRAY SYSTEMS, INC.
Reel/Frame 067096/0625 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 23, 2023
From: DEMPSEY, JAMES F.; KAWRYKOW, IWAN
To: VIEWRAY TECHNOLOGIES, INC.
Reel/Frame 063736/0144 →
SECURITY INTEREST Recorded Mar 24, 2023
From: VIEWRAY TECHNOLOGIES, INC.; VIEWRAY, INC.
To: MIDCAP FUNDING IV TRUST
Reel/Frame 063157/0703 →
Continuity (2)
Provisional Application 63270855 · Oct 22, 2021
Related Publication 20230125812A1 · Apr 27, 2023
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