Image processing device and method for detecting line structures in an image data set
First Claim
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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Abstract
The present invention relates to an image processing device for detecting line structures in an image data set. The device comprises a model definition unit (12) for defining a line model of a line structure to be detected, said line model comprising a number of voxels, a calculation unit (14) for calculating, 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 a determining unit (16) for determining, per voxel of interest, the maximum correlation value from said calculated correlation values and the corresponding optimal orientation at which said maximum correlation value is obtained.
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Citations
16 Claims
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. An image processing method for detecting anatomical line structures in image data set, comprising:
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defining a line model of an anatomical line structure to be detected, said line model comprising a number of voxels; and
said line model defining a two-dimensional rectangular line model having a predetermined length and width;calculating, 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 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 are calculated; determining, 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; determining, per voxel of interest, a local orientedness value; constructing a new image using as voxel values the orientedness value and multiplying, per voxel of interest, said local orientedness value with the obtained maximum correlation value.
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14. A non-transitory computer readable storage medium storing a computer program for causing a computer to carry out the steps of:
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defining a line model of an anatomical line structure to be detected, said line model comprising a number of voxels; and
said line model defining a two-dimensional rectangular line model having a predetermined length and width;calculating, 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 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 are calculated; determining, 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; determining, per voxel of interest, a local orientedness value; constructing a new image using as voxel values the orientedness value and multiplying, per voxel of interest, said local orientedness value with the obtained maximum correlation value. - View Dependent Claims (15, 16)
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Specification