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US 2025/0029260 A1Published application
Natural and artificial intelligence for robust automatic anatomy segmentation
AssigneeThe Trustees of the University of Pennsylvania
InventorsJayaram K. Udupa, You Hao, Chao Jin, Yubing Tong, Dewey Odhner, Drew A. Torigian, Tiange Liu
Life of this patent
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Abstract
Methods and systems are described for recognizing and delineating an object of interest in imaging data. Artificial intelligence and natural intelligence may be combined through a plurality of models configured to locate a body region, trim imaging data, perform fuzzy object recognition, detect boundary areas, modify the fuzzy object models using the boundary areas, and delineate the objects.
Claims20
A method comprising:
- receiving imaging data indicative of an object of interest;
- determining a portion of the imaging data comprising a target body region of the object;
- determining, based on automatic anatomic recognition and the portion of the imaging data, data indicating one or more objects in the target body region;
- determining, based on the data indicating the one or more objects and for each of the one or more objects, data indicating a bounding area of an object of one or more objects;
- modifying, based on data indicating the bounding areas, the data indicating one or more objects in the target body region;
- determining, based on the modified data indicating one or more objects in the target body region, data indicating a delineation of each of the one or more objects;
- and
- causing output of the data indicating the delineation of each of the one or more objects.
5 more elements
A device comprising:
- one or more processors;
- and
- a memory storing instructions that, when executed by the one or more processors, cause the device to:
- receive imaging data indicative of an object of interest;
- determine a portion of the imaging data comprising a target body region of the object;
- determine, based on automatic anatomic recognition and the portion of the imaging data, data indicating one or more objects in the target body region;
- determine, based on the data indicating the one or more objects and for each of the one or more objects, data indicating a bounding area of an object of one or more objects;
- modify, based on data indicating the bounding areas, the data indicating one or more objects in the target body region;
- determine, based on the modified data indicating one or more objects in the target body region, data indicating a delineation of each of the one or more objects;
- and
- cause output of the data indicating the delineation of each of the one or more objects.
8 more elements
A system comprising:
- an imaging device configured to generate imaging data of an object of interest;
- and
- a computing device comprising one or more processors, and a memory, wherein the memory stores instructions that, when executed by the one or more processors, cause the computing device to:
- receive the imaging data indicative of the object of interest;
- determine a portion of the imaging data comprising a target body region of the object;
- determine, based on automatic anatomic recognition and the portion of the imaging data, data indicating one or more objects in the target body region;
- determine, based on the data indicating the one or more objects and for each of the one or more objects, data indicating a bounding area of an object of one or more objects;
- modify, based on data indicating the bounding areas, the data indicating one or more objects in the target body region;
- determine, based on the modified data indicating one or more objects in the target body region, data indicating a delineation of each of the one or more objects;
- and
- cause output of the data indicating the delineation of each of the one or more objects.
8 more elements
Dependencies are inferred from the claim text.