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System and method for tissue differentiation in imaging

  • US 10,359,271 B2
  • Filed: 05/05/2017
  • Issued: 07/23/2019
  • Est. Priority Date: 12/05/2012
  • Status: Active Grant
First Claim
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1. A method of assessing a degree of differentiation for a second region of an OCT image of a tissue sample with respect to a first region, wherein the method comprises:

  • receiving OCT image data for the OCT image, the OCT image being a 3D OCT image comprising a plurality of B-scan images;

    identifying a boundary in the OCT image to identify the second region in the OCT image, the second region being disposed below the boundary;

    identifying a first set of OCT image data corresponding to the first region and a second set of OCT image data corresponding to the second region;

    generating a first optical dataset based on measurements of at least one first optical characteristic for the first set of OCT image data;

    generating a second optical dataset based on measurements of the at least one first optical characteristic for the second set of OCT image data;

    determining a margin width in B-scan data for the OCT image, the margin width corresponding to a shortest distance between the boundary and a surface of the tissue sample;

    determining when the margin width is less than a margin threshold;

    receiving a known optical dataset generated based on measurements of the at least one first optical characteristic for a known set of OCT image data corresponding to a known region in a stored OCT image; and

    determining a discrimination score based on the second optical dataset and the known optical dataset to indicate a degree of difference between the second region and the known region and comparing the discrimination score to a predefined threshold to identify a high degree of difference between the second region and the known region which indicates that the second and known region comprise different tissue types.

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