US 10,376,715 B2
System and method for the validation and quality assurance of computerized contours of human anatomy
Hsin-Chen Chen, Clayton, MO (US); Sasa Mutic, Creve Coeur, MO (US); Jun Tan, Coppell, TX (US); Michael Altman, University City, MO (US); James Kavanaugh, University City, MO (US); and Hua Li, Chesterfield, MO (US)
Assigned to Washington University, St. Louis, MO (US)
Filed by Washington University, St. Louis, MO (US)
Filed on Apr. 30, 2015, as Appl. No. 14/700,592.
Application 14/700,592 is a continuation in part of application No. 14/454,000, filed on Aug. 7, 2014, granted, now 9,626,757.
Claims priority of provisional application 61/863,677, filed on Aug. 8, 2013.
Prior Publication US 2015/0297916 A1, Oct. 22, 2015
Int. Cl. A61N 5/10 (2006.01); G06T 7/13 (2017.01)
CPC A61N 5/1039 (2013.01) [G06T 7/13 (2017.01); G06T 2207/10081 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30004 (2013.01)] 10 Claims
OG exemplary drawing
 
1. A system for validating accuracy of delineated contours in computerized imaging, comprising:
a storage unit including one or more approved radiation therapy contours and a patient specific radiation therapy contour; and
a processor programmed to:
receive the one or more approved radiation therapy contours,
calculate a geometric attribute of the one or more approved radiation therapy contours,
construct assessment criterion parameters using machine learning methods,
receive the patient specific radiation therapy contour from the storage unit,
calculate a patient specific radiation therapy contour geometric attribute using the patient specific radiation therapy contour, and
detect contouring error by fitting the geometric attribute of the patient specific radiation therapy contour to the assessment criterion parameters.