US 12,223,655 B2
Applications of automatic anatomy recognition in medical tomographic imagery based on fuzzy anatomy models
Jayaram K. Udupa, Philadelphia, PA (US); Dewey Odhner, Horsham, PA (US); Drew A. Torigian, Philadelphia, PA (US); and Yubing Tong, Springfield, PA (US)
Assigned to The Trustees of the University of Pennsylvania, Philadelphia, PA (US)
Filed by The Trustees of The University of Pennsylvania, Philadelphia, PA (US)
Filed on Jan. 6, 2022, as Appl. No. 17/569,920.
Application 17/569,920 is a continuation of application No. 15/311,675, granted, now 11,232,319, previously published as PCT/US2015/030833, filed on May 14, 2015.
Claims priority of provisional application 62/116,222, filed on Feb. 13, 2015.
Claims priority of provisional application 61/994,494, filed on May 16, 2014.
Prior Publication US 2022/0383612 A1, Dec. 1, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 7/11 (2017.01); A61N 5/10 (2006.01); G06T 7/00 (2017.01); G06T 7/136 (2017.01); G06T 7/143 (2017.01); G06T 7/70 (2017.01); G06V 10/44 (2022.01)
CPC G06T 7/11 (2017.01) [A61N 5/1039 (2013.01); G06T 7/0012 (2013.01); G06T 7/136 (2017.01); G06T 7/143 (2017.01); G06T 7/70 (2017.01); G06V 10/457 (2022.01); A61N 5/103 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20016 (2013.01); G06T 2207/20128 (2013.01); G06T 2207/30004 (2013.01); G06V 2201/031 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A computerized method, comprising the steps of:
building a fuzzy anatomy model of a body region of interest from an existing set of patient images for the body region;
obtaining an image of a particular patient body region of interest, wherein obtaining the image comprises mapping slice locations associated with the particular patient body region of interest from a scanner coordinate system to slice locations in a standardized anatomic space;
identifying where a volume-to-area correlation becomes maximal for one or more body regions of the patient;
using automatic anatomy recognition (AAR) to recognize objects in the particular patient body region of interest and to output spatial information associated with the recognized objects; and
delineating, using automatic anatomy recognition (AAR) and based at least on the spatial information associated with the recognized objects, the recognized objects to determine one or more contours or boundaries of the recognized objects.