Direct computation of image-derived biomarkers
AssigneeSiemens Aktiengesellschaft
InventorsSaikiran Rapaka, Puneet Sharma, Atilla Peter Kiraly
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Abstract
A method for computing image-derived biomarkers includes receiving image data defining a three-dimensional image volume representative of an anatomical region of interest. Features characterizing local variations of intensity in the image data using an intensity model are identified. The features are used to perform one or more modeling computations directly on the image data to derive information related to a biomarker of interest.
Claims23
A method for computing image-derived biomarkers, the method comprising:
- receiving image data defining a three-dimensional image volume representative of an anatomical region of interest;
- identifying features characterizing local variations of intensity in the image data using an intensity model;
- and
- using the features characterizing local variations of intensity to perform one or more modeling computations directly on the image data to derive information related to a biomarker of interest.
A method for computing image-derived biomarkers, the method comprising:
- receiving image data comprising a plurality of voxels defining a three-dimensional image volume representative of an anatomical region of interest;
- determining an anatomical structure related to a biomarker of interest;
- selecting an intensity model based on the anatomical structure related to the biomarker of interest;
- using the intensity model to determine a plurality of weighting values, each respective weighting value corresponding to a respective voxel included in the image data;
- and
- applying a computational model to the image data using the plurality of weighting values to derive information related to the biomarker of interest.
A system for computing image-derived biomarkers, the system comprising:
- a scanner device configured to acquire image data defining a three-dimensional image volume representative of an anatomical region of interest;
- and
- a computer operably coupled to the scanner device and configured to:
- identify intensity differences in the image data using an intensity model, and
- using the intensity differences in the image data to apply a computational model directly to the image data to derive information related to a biomarker of interest.
Dependencies are inferred from the claim text.