US 11,712,224 B2
Method and systems for context awareness enabled ultrasound scanning
Chandan Kumar Mallappa Aladahalli, Bangalore (IN); Krishna Seetharam Shriram, Bangalore (IN); and Vikram Melapudi, Bangalore (IN)
Assigned to GE Precision Healthcare LLC, Milwaukee, WI (US)
Filed by GE Precision Healthcare LLC, Milwaukee, WI (US)
Filed on Oct. 11, 2019, as Appl. No. 16/600,394.
Prior Publication US 2021/0106314 A1, Apr. 15, 2021
Int. Cl. A61B 8/08 (2006.01); G06T 7/00 (2017.01); G06V 20/20 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 10/26 (2022.01)
CPC A61B 8/5215 (2013.01) [G06T 7/0012 (2013.01); G06V 10/26 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/20 (2022.01); G06T 2207/10132 (2013.01)] 15 Claims
OG exemplary drawing
 
1. A method for a medical imaging processor, comprising:
acquiring a medical scan image;
identifying one or more internal features in the medical scan image;
generating a context awareness graph based on relative sizes and relative positions of the one or more internal features, including depicting each of the one or more internal features by a node, where a size of each node is based on the relative sizes of the one or more internal features, determining a centroid for each node, and depicting relative positions of each node by one or more segments connecting the centroids of each node; and
displaying the context awareness graph on a display portion of a user interface communicatively coupled to the medical imaging processor;
wherein the context awareness graph includes a relative position annotation and a relative size annotation for each of the one or more internal features identified in the medical scan image.