Iterative image reconstruction with a sharpness driven regularization parameter
AssigneeKoninklijke Philips N.V.
InventorsThomas Koehler, Roland Proksa, Michael Grass
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AssigneeKoninklijke Philips N.V.
InventorsThomas Koehler, Roland Proksa, Michael Grass
Estimating the term…
A method includes performing a first pass of an iterative image reconstruction in which an intermediate first spectral image and an intermediate second spectral image are generated using an iterative image reconstruction algorithm, start first spectral and second spectral images, and initial first spectral regularization and second spectral regularization parameters, updating at least one of the initial first spectral regularization or second spectral regularization parameters, thereby creating an updated first spectral regularization or second spectral regularization parameter, based at least on a sharpness of one of the intermediate first spectral or second spectral images, and performing a subsequent pass of the iterative image reconstruction in which an updated intermediate first spectral and second spectral image is generated using the iterative image reconstruction algorithm, the intermediate first spectral and second spectral images, and the updated first spectral regularization and Compton scatter regularization parameters.
A method of generating spectral images with spectral X-ray imaging data produced by a spectral computed tomography scanner, comprising:
An image reconstructor for generating spectral images with spectral X-ray imaging data produced by a spectral computed tomography scanner, comprising:
A computer readable storage medium encoded with computer readable instructions of generating spectral images with spectral X-ray imaging data produced by a spectral computed tomography scanner, the instructions, when executed by a processer, causes the processor to:
Dependencies are inferred from the claim text.