US 12,329,468 B1
Apparatus and methods for identification of medical features
Rakesh Barve, Bengaluru (IN); and Suthirth Vaidya, Bengaluru (IN)
Assigned to Anumana, Inc., Cambridge, MA (US)
Filed by Anumana, Inc., Cambridge, MA (US)
Filed on Jul. 29, 2024, as Appl. No. 18/787,453.
Int. Cl. A61B 34/00 (2016.01); A61B 34/10 (2016.01); G06T 7/00 (2017.01); G06T 7/70 (2017.01); G06V 10/40 (2022.01); G06V 10/774 (2022.01)
CPC A61B 34/25 (2016.02) [A61B 34/10 (2016.02); G06T 7/0012 (2013.01); G06T 7/70 (2017.01); G06V 10/40 (2022.01); G06V 10/774 (2022.01); A61B 2034/252 (2016.02); G06T 2207/10132 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30048 (2013.01)] 20 Claims
OG exemplary drawing
 
1. An apparatus for identifying medical features, the apparatus comprising:
an ultrasonic imaging system configured to detect at least a query image comprising ultrasound data pertaining to a subject;
an intervention system configured to perform a concurrent medical procedure as a function of the detection of the at least a query image;
a display device;
a processor; and
a memory communicatively connected to the processor, wherein the memory contains instructions configuring the processor to:
receive, from the ultrasonic imaging system, the at least a query image;
identify a pose of an anatomical structure as a function of the at least a query image, wherein identifying the pose of the anatomical structure comprises:
locating at least a point of view (POV) as a function of the query image and a first subset of the plurality of image processing algorithms; and
determining a view angle (VA) as a function of the at least a POV, wherein the at least a POV and the VA define at least a portion of the anatomical structure;
determine at least a medical feature as a function of the pose of the anatomical structure, wherein determining the at least a medical feature comprises:
receiving feature training data comprising a plurality of training images as input and a plurality of labelled features as output;
training an image processing machine learning model comprising a plurality of image processing algorithms using the feature training data; and
determining the at least a medical feature as a function of the at least a query image using the trained image processing machine learning model and a second subset of the plurality of image processing algorithms; and
suggest, using the display device, a modification to the concurrent medical procedure as a function of the at least a medical feature.