Image texture characterization of medical images
AssigneeCalgary Scientific Inc.
InventorsSylvia Anna Drabycz, Joseph Ross Mitchell
Life of this patent
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Abstract
A method for texture characterization is provided. Multi-dimensional spectrum data are determined by transforming multi-dimensional image data into Fourier domain. The multi-dimensional spectrum data are partitioned into a plurality of partitions, wherein each partition is associated with a predetermined set of orthogonal voice frequencies. The partitioned multi-dimensional spectrum data are then transformed into Stockwell domain resulting in discrete orthonormal Stockwell transform data. The discrete orthonormal Stockwell transform data are then processed to determine data associated with image texture, which are indicative of a feature of the object.
Claims27
A method comprising:
- receiving multi-dimensional image data indicative of an image of an object;
- determining multi-dimensional spectrum data by transforming the multi-dimensional image data into Fourier domain;
- partitioning the multi-dimensional spectrum data into a plurality of partitions, wherein each partition is associated with a predetermined set of orthogonal voice frequencies;
- determining discrete orthonormal Stockwell transform data by transforming the partitioned multi-dimensional spectrum data into Stockwell domain, wherein the discrete orthonormal Stockwell transform data are determined by multiplying the partitioned multi-dimensional spectrum data by a square root of a number of points in the respective partition and by performing an inverse Fourier transform;
- determining data associated with image texture in dependence upon the discrete orthonormal Stockwell transform data, the data associated with image texture being indicative of a feature of the object;
- and,
- providing the data associated with image texture.
A non-transitory storage medium having stored therein executable commands for execution on a processor, the processor when executing the commands performing:
- receiving multi-dimensional image data indicative of an image of an object;
- determining multi-dimensional spectrum data by transforming the multi-dimensional image data into Fourier domain;
- partitioning the multi-dimensional spectrum data into a plurality of partitions, wherein each partition is associated with a predetermined set of orthogonal voice frequencies;
- determining discrete orthonormal Stockwell transform data by transforming the partitioned multi-dimensional spectrum data into Stockwell domain, wherein the discrete orthonormal Stockwell transform data are determined by multiplying the partitioned multi-dimensional spectrum data by a square root of a number of points in the respective partition and by performing an inverse Fourier transform;
- determining data associated with image texture in dependence upon the discrete orthonormal Stockwell transform data, the data associated with image texture being indicative of a feature of the object;
- and,
- providing the data associated with image texture.
A method comprising:
- receiving multi-dimensional image data indicative of an image of an object;
- determining multi-dimensional spectrum data by transforming the multi-dimensional image data into Fourier domain;
- partitioning the multi-dimensional spectrum data into a plurality of non-overlapping partitions using dyadic sampling, wherein each partition is associated with a predetermined set of orthogonal voice frequencies;
- determining discrete orthonormal Stockwell transform data by transforming the partitioned multi-dimensional spectrum data into Stockwell domain;
- determining data associated with image texture in dependence upon the discrete orthonormal Stockwell transform data, the data associated with image texture being indicative of a feature of the object;
- and,
- providing the data associated with image texture.
A non-transitory storage medium having stored therein executable commands for execution on a processor, the processor when executing the commands performing:
- receiving multi-dimensional image data indicative of an image of an object;
- determining multi-dimensional spectrum data by transforming the multi-dimensional image data into Fourier domain;
- partitioning the multi-dimensional spectrum data into a plurality of non-overlapping partitions using dyadic sampling, wherein each partition is associated with a predetermined set of orthogonal voice frequencies;
- determining discrete orthonormal Stockwell transform data by transforming the partitioned multi-dimensional spectrum data into Stockwell domain;
- determining data associated with image texture in dependence upon the discrete orthonormal Stockwell transform data, the data associated with image texture being indicative of a feature of the object;
- and,
- providing the data associated with image texture.
Dependencies are inferred from the claim text.