Joint estimation with space-time entropy regularization
AssigneeThe Regents of the University of California
InventorsLawrence R. Frank, Vitaly L. Galinsky
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Abstract
A method for registering multiple data types of diverse modalities for a target volume includes acquiring at least at least two datasets associated with the target volume where the at least two datasets having different modalities. Using information field theory and entropy spectrum pathways theory, a local connectivity matrix is constructed for one or both of spatial connectivity and temporal connectivity for each of the datasets. The local connectivity matrices for the datasets are fused into a common coupling matrix and the datasets are merged to generate a registered image displaying the spatial and temporal features within the target volume.
Claims8
A method for registering multiple image types of diverse modalities for a target volume, the method comprising:
- acquiring within a computer processor a first dataset from a first imaging system, the first dataset comprising a first data modality including morphological information comprising intensity data for each spatial location within the target volume;
- using the computer processor, generating a spherical wave decomposition (SWD) of the target volume to generate a 3D volume representation of the target volume;
- acquiring within the computer processor a second dataset from a second imaging system, the second dataset comprising a second data modality including multiple value vector or tensor field data within the target volume;
- using the computer processor, applying a geometric optics-entropy spectrum pathways (GO-ESP) analysis to the second dataset to identify ranked pathways between locations within the target volume;
- acquiring within the computer processor a third dataset from a third imaging system, the third dataset comprising a time sequence of values within the target volume;
- using the computer processor, applying an entropy field decomposition (EFD) procedure to the third dataset to generate mean field volumes of the target volume;
- using the computer processor, registering the ranked pathways and the mean field volumes with the 3D volume representation using symplectomorphic registration (SYMREG) to generate forward and inverse symplectomorphic maps;
- using the computer processor, applying GO-ESP global tractography to the symplectomorphic maps and the 3D volume representation to generate entropy spectrum pathway (ESP) long range structural connectivity eigenmodes;
- and
- receiving and displaying a registered image corresponding to the registered image data derived from the first, second and third datasets.
8-13. (canceled)
Dependencies are inferred from the claim text.