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Segmenting irregular shapes in images using deep region growing with an image pyramid

  • US 10,643,092 B2
  • Filed: 06/21/2018
  • Issued: 05/05/2020
  • Est. Priority Date: 06/21/2018
  • Status: Active Grant
First Claim
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1. A method for identifying an object of interest in a medical image, the method comprising:

  • creating an image pyramid for the medical image, wherein the image pyramid includes a plurality of layers, each layer includes a plurality of values, each value represents a block of one or more pixels in the medical image, and each successive layer includes fewer values than a most previous layer;

    for each layer of the image pyramid;

    initializing internal states of nodes of a spatial lattice, wherein each node in the spatial lattice represents a block of one or more pixels in the medical image and is connected to at least one node representing a neighboring block of one or more pixels in the medical image; and

    iteratively updating, using a neural network, the internal states of the nodes in the spatial lattice using spatially gated propagation, wherein at each iteration each node updates its internal state based on at least one selected from the group consisting of a value of the node from a previous iteration, a value of a neighboring node from the previous iteration, and a new value of the node; and

    identifying the object of interest within the medical image based on the values of the nodes at a convergence of the spatial lattice having nodes representing the values included in a first layer of the image pyramid.

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