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.
Patent No.:
Date of Patent:
Feb. 19, 2013
Filed:
Sep. 01, 2009
Per Rugaard Poulsen, Aabyhoej, DK;
Byungchul Cho, Palo Alto, CA (US);
Katja Langen, Orlando, FL (US);
Patrick Kupelian, Winter Park, FL (US);
Paul J. Keall, Palo Alto, FL (US);
Per Rugaard Poulsen, Aabyhoej, DK;
Byungchul Cho, Palo Alto, CA (US);
Katja Langen, Orlando, FL (US);
Patrick Kupelian, Winter Park, FL (US);
Paul J. Keall, Palo Alto, FL (US);
The Board of Trustees of the Leland Stanford Junior University, Palo Alto, CA (US);
Abstract
The present invention provides a method for estimation of retrospective and real-time 3D target position by a single imager. The invention includes imaging a target on at least one 2D plane to determine 2D position and/or position components of the target, and resolving a position and/or position component along at least one imager axis of the target using a spatial probability density. The present invention provides a probability-based method for accurate estimation of the mean position, motion magnitude, motion correlation, and trajectory of a tumor from CBCT projections. The applicability of the method for tumors with periodic respiratory motion and for prostate are provided. Clinical feasibility is demonstrated for a pancreas tumor. The method includes monoscopic tracking of the 3D prostate position utilizing the spatial probability density to estimate the unresolved motion from the resolved motion. The method is applicable to prostate tracking even with a population-based probability density.