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US 2020/0090385 A1Published application
Extended high efficiency computed tomography with optimized recursions and applications
OwnerWolfram R. Jarischinventor
Life of this patent
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Abstract
An image reconstructor to: receive projection space data; compute one or more measured transformed pixels; compute one or more predicted transformed pixels; compute first pixel innovation result data; compute second pixel innovation result data; compute preliminary transformed object update data; compute a transformed object voxel density update estimate; add the transformed object voxel density update estimate to a corresponding transformed preceding voxel data estimate; and reconstruct an object space image representing the object under observation using the transformed density estimate.
Claims21
A system comprising:
- a non-transitory data storage for storing projection space information, the projection space information in a density domain for an object under observation, and including one or more input projection pixels and one or more predicted projection space pixels;
- and
- an image reconstructor computer having at least one processor, the at least one processor operable to:
- receive the projection space information from the non-transitory data storage;
- convert the projection space information into projection space data in the density domain;
- compute preliminary transformed object density update data using the one or more input projection pixels in the density domain, the projection space data, and transformation functions;
- compute transformed object voxel density update data by re-scaling the preliminary transformed object density update data using slopes derived from a set of non-linear transformations of voxel densities and inverse slopes of a set of non-linear back-transformations of corresponding transformed voxel densities;
- accumulate the transformed object voxel density update data with a preceding voxel data estimate from a preceding iteration to form transformed object voxel density estimate;
- compute voxel density data by transforming the transformed object voxel density estimate;
- compute voxel density estimate data by re-estimating the voxel density data using object structural information;
- delay the voxel density estimate data by a unit delay to obtain prior voxel density estimate data;
- transform the prior voxel density estimate data to obtain the preceding voxel data estimate data;
- reconstruct an object space image representing the object under observation using prior voxel density estimate data.
10 more elements
A non-transitory data storage device storing software code executable by a computer having one or more processors, the software code to:
- receive projection space information in a density domain for an object under observation, the projection space information including one or more input projection pixels and one or more predicted projection space pixels;
- convert the projection space information into projection space data in the density domain;
- compute preliminary transformed object density update data using the one or more input projection pixels in the density domain, the projection space data, and transformation functions;
- compute transformed object voxel density update data by re-scaling the preliminary transformed object density update data using slopes derived from a set of non-linear transformations of voxel densities and inverse slopes of a set of non-linear back-transformations of corresponding transformed voxel densities;
- accumulate the transformed object voxel density update data with a preceding voxel data estimate from a preceding iteration to form transformed object voxel density estimate;
- compute voxel density data by transforming the transformed object voxel density estimate;
- compute voxel density estimate data by re-estimating the voxel density data using object structural information;
- delay the voxel density estimate data by a unit delay to obtain prior voxel density estimate data;
- transform the prior voxel density estimate data to obtain the preceding voxel data estimate data;
- reconstruct an object space image representing the object under observation using prior voxel density estimate data.
7 more elements
A method for image reconstruction performed by an image reconstructor computer having at least one processor, the method comprising:
- receiving projection space information in a density domain for an object under observation, the projection space data including one or more input projection pixels and one or more predicted projection space pixels;
- converting the projection space information into projection space data in the density domain;
- computing preliminary transformed object density update data using the one or more input projection pixels in the density domain, the projection space data, and transformation functions;
- computing transformed object voxel density update data by re-scaling the preliminary transformed object density update data using slopes derived from a set of non-linear transformations of voxel densities and inverse slopes of a set of non-linear back-transformations of corresponding transformed voxel densities;
- accumulating the transformed object voxel density update data with a preceding voxel data estimate from a preceding iteration to form transformed object voxel density estimate;
- computing voxel density data by transforming the transformed object voxel density estimate;
- computing voxel density estimate data by re-estimating the voxel density data using object structural information;
- delaying the voxel density estimate data by a unit delay to obtain prior voxel density estimate data;
- transforming the prior voxel density estimate data to obtain the preceding voxel data estimate data;
- reconstructing an object space image representing the object under observation using prior voxel density estimate data.
7 more elements
Dependencies are inferred from the claim text.