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Image processing device and method for detecting line structures in an image data set

  • US 9,536,318 B2
  • Filed: 12/02/2013
  • Issued: 01/03/2017
  • Est. Priority Date: 12/03/2012
  • Status: Active Grant
First Claim
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1. An image processing device for detecting anatomical line structures in an image data set, comprising:

  • a processor that;

    defines a line model of an anatomical line structure to be detected, said line model comprising a number of voxels; and

    said line model configured to define a two-dimensional rectangular line model having a predetermined length and width;

    calculates, per voxel of interest of said image data set, several correlation values of a correlation between said line model and an image area around said voxel of interest, said image area comprising a corresponding number of voxels as said line model, wherein for each of a number of different relative orientations of said line model with respect to said image area a respective correlation value is calculated, and wherein said processor is configured to calculate, per pixel of interest of two-dimensional image data set, several correlation values of a correlation between said two-dimensional rectangular line model and a two-dimensional image area around said pixel of interest;

    determines, per voxel of interest, a maximum correlation value from said calculated correlation values, which detects the anatomical line structure, and a corresponding optimal orientation at which said maximum correlation value is obtained; and

    identifies within the image data set areas of voxels for which substantially the same optimal orientation has been found, determines, per voxel of interest, a local orientedness value and multiplies, per voxel of interest, said local orientedness value with the maximum correlation value to obtain an amplified maximum correlation value.

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