Three Dimensional Models From MRI

Brad Sutton (Inventor), Matthew Bramlet (Inventor), Xi Peng (Inventor), Kevin Urbain (Inventor)

Research output: Patent

Abstract

Aspects of the subject disclosure may include, for example, a method comprising: receiving, by a processing system including a processor, an input three-dimensional dataset comprising a first plurality of two-dimensional images of all or a portion of a subject; applying, by the processing system, bias field correction to the input three-dimensional dataset to generate a corrected three-dimensional dataset comprising a second plurality of two-dimensional images; and generating, by the processing system, a labeled three-dimensional dataset comprising a third plurality of two-dimensional images, wherein the labeled three-dimensional dataset further comprises one or more labels indicating an anatomical structure, and wherein the labeled three-dimensional dataset is generated via a convolutional neural network based upon the corrected three-dimensional dataset and based upon a previously trained three-dimensional dataset. Additional embodiments are disclosed.
Original languageEnglish (US)
U.S. patent number10891778
Filing date1/9/19
StatePublished - Jan 12 2021

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