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Deformable registration of magnetic resonance and ultrasound images using biomechanical models

  • US 10,621,720 B2
  • Filed: 04/27/2017
  • Issued: 04/14/2020
  • Est. Priority Date: 04/27/2017
  • Status: Active Grant
First Claim
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1. A computer-implemented method for performing deformable registration between Magnetic Resonance (MR) and Ultrasound (US) images, the method comprising:

  • receiving an MR volume depicting an organ;

    segmenting the organ from the MR volume to yield a first 3D point representation of the organ in MR coordinates, wherein segmentation of the organ from the MR volume is automatically performed using one or more machine learning models to detect a MR bounding box containing the organ in the MR volume and computing the first 3D point representation by applying one or more shape models to portions of the MR volume within the MR bounding box;

    receiving a US volume depicting the organ;

    segmenting the organ from the US volume to yield a second 3D point representation of the organ in US coordinates, wherein segmentation of the organ from the US volume is automatically performed using the one or more machine learning models to detect a US bounding box containing the organ in the US volume and computing the second 3D point representation by applying the one or more shape models to portions of the US volume within the US bounding box;

    determining a plurality of point correspondences between the first 3D point representation and the second 3D point representation; and

    applying a biomechanical model to register the MR volume to the US volume, wherein the plurality of point correspondences are used as displacement boundary conditions for the biomechanical model.

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