The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 21, 2017

Filed:

Dec. 18, 2013
Applicant:

Accuray Incorporated, Sunnyvale, CA (US);

Inventors:

John R. Adler, Stanford, CA (US);

Achim Schweikard, Hamburg, DE;

Assignee:

Accuray Incorporated, Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/05 (2006.01); A61N 5/10 (2006.01); A61B 6/12 (2006.01); A61B 6/00 (2006.01); A61B 10/02 (2006.01); A61B 18/20 (2006.01); A61B 17/00 (2006.01); A61N 7/02 (2006.01);
U.S. Cl.
CPC ...
A61N 5/103 (2013.01); A61B 6/12 (2013.01); A61B 6/527 (2013.01); A61B 34/20 (2016.02); A61B 90/10 (2016.02); A61N 5/1049 (2013.01); A61B 6/4458 (2013.01); A61B 10/0233 (2013.01); A61B 18/20 (2013.01); A61B 90/39 (2016.02); A61B 2017/00694 (2013.01); A61B 2017/00699 (2013.01); A61B 2034/2055 (2016.02); A61B 2034/2072 (2016.02); A61B 2090/101 (2016.02); A61B 2090/376 (2016.02); A61N 5/1064 (2013.01); A61N 5/1067 (2013.01); A61N 7/02 (2013.01); A61N 2005/1061 (2013.01);
Abstract

A method of compensating for breathing and other motions of a patient during treatment includes periodically generating internal positional data about an internal target region. The method further includes generating external positional data about external motion of the patient's body using an external sensor and generating a correlation between one or more positions of the internal target region and one or more positions of an external region using the external positional data of the external sensor and the internal positional data of the internal target region. The method further includes predicting the position of the internal target region at some later time based on the correlation model.


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