Patent Document ID: 8363918
Application ID: 12604495

Base Claim:
1. A method for detecting a plurality of anatomical landmarks in an image comprising: detecting a first landmark of the plurality of anatomical landmarks in the image using marginal space learning (MSL); estimating locations of remaining landmarks of the plurality of anatomical landmarks in the image based on the detected first landmark using a learned geometric model relating the plurality of anatomical landmarks; and detecting each of said remaining landmarks using MSL in a portion of the image constrained based on the estimated location of each of said remaining landmarks.

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Claim 6:
6. The method of claim 1 , wherein said step of detecting each of said remaining landmarks using MSL in a portion of the image constrained based on the estimated location of each of said remaining landmarks comprises, for each of said remaining landmarks: detecting position candidates in a portion of the image within a certain distance of the estimated location of the landmark using a trained position classifier; generating position-orientation hypotheses from said position candidates; detecting position-orientation candidates from said position-orientation hypotheses using a trained position-orientation classifier; generating similarity transformation hypotheses from said position-orientation candidates; and detecting at least one similarity transformation candidate from said similarity transformation hypotheses using a trained similarity transformation classifier.