Accuray Inc.

Kevin Gorczowski

Eric Schnarr

Robert Elijah Broadhurst

Charles Brandon Frederick

Calvin R Maurer

Jacob D Shea

Rich Holloway

Calvin R Maurer, Jr

John Robinson Dooley

Dylan Casey

Jari Toivanen

Jeremy Heil

Mark Foskey

Richard L Holloway

Mark Stephen Foskey

Richard Holloway

A system and method of performing prospective and retrospective on-line adaptive radiotherapy. The method includes performing, during a treatment delivery session, delivery of a dose of radiation to an anatomical volume. The method includes detecting, during the treatment delivery session, a current state of the anatomical volume. The method includes predicting a future change in the current state of the anatomical volume during the treatment delivery session. The method includes adjusting, while the anatomical volume is in the current state, the treatment delivery to anticipate the future change in the anatomical volume.

Prospective and retrospective on-line adaptive radiotherapy

A method including applying a first target-subject-specific model associated with a target subject to a treatment planning image to generate a transformed treatment planning image corresponding to a first position of a plurality of positions. The method also includes modifying one or more hyper-parameters of the first target-subject-specific model to generate a second target-subject-specific model corresponding to a second position of the plurality of positions. The method further includes controlling a radiation treatment delivery device based on the second target-subject-specific model to deliver a radiation treatment to the target subject.

Partial deformation maps for reconstructing motion-affected treatment dose

A method comprises inputting a treatment planning image of a target subject into a machine learning system. The method further comprises determining, by the machine learning system, a first target-subject-specific model of the treatment planning image. The method further comprises applying, by a processing device, the first target-subject-specific model to the treatment planning image to generate a transformed treatment planning image corresponding to a first position of a plurality of positions of the target subject. The method further comprises comparing the transformed treatment planning image to a reference image. The method further comprises, based on the comparing, modifying one or more parameters of the first target-subject-specific model to generate a second target-subject-specific model corresponding to a second position of the plurality of positions. The method further comprises controlling a treatment device based on the second target-subject-specific model to deliver a treatment to the target subject.

Partial deformation maps for reconstructing motion-affected treatment dose using machine learning

A method comprises identifying a treatment planning image of a target subject, the treatment planning image comprising information associated with an arrangement of structures within the target subject. The method further comprises generating, based on the information, a set of reference data associated with the target subject, the reference data indicating a plurality of positions of the target subject. The method further comprises generating target-subject-specific models based on the reference data and modifying one or more hyper-parameters of the target-subject-specific mode to generate second target-subject-specific models corresponding to a second position of the plurality of positions. The method further comprises controlling a radiation treatment delivery device based on the second target-subject-specific model to deliver a radiation treatment to the target subject.

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Chapel Hill, NC, United States of America

Kevin Gorczowski