Method and system for expanding axial coverage in iterative reconstruction in computer tomography (CT)
AssigneesKabushiki Kaisha Toshiba, Toshiba Medical Systems Corporation
InventorsAlexander Zamyatin, Daxin Shi, Mihail Petru Dinu
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Abstract
The image generation method and system generates an image using a predetermined iterative reconstruction technique from cone beam data that has been expanded by adding additional data, and an instance of the iteration process is weighted according to a corresponding validation weight during the reconstruction. Optionally, an instance of the iteration process is weighted according to a combination of weights during the reconstruction. The predetermined combination of the weights includes axial weights based upon a validity value of the expanded data and statistical weights.
Claims20
A method of iterative image reconstruction in computed tomography, comprising the steps of:
- a) expanding measured data by adding additional data along a predetermined axis that is parallel to an axis of rotation according to the measured data to generate expanded data;
- b) generating a validity weight based upon a predetermined function for weighting the expanded data at each of projection bins;
- and
- c) iteratively reconstructing an image volume with full axial coverage using the expanded data and the validity weight according to a predetermined iterative reconstruction technique.
A system for iteratively reconstructing an image in computed tomography, comprising:
- an axial artifact reduction device for expanding measured data by adding additional data along a predetermined axis that is parallel to an axis of rotation according to the measured data to generate expanded data, said axial artifact reduction device generating a validity weight based upon a predetermined function for weighting the expanded data at each of projection bins;
- and
- a reconstruction device connected to said axial artifact reduction device for iteratively reconstructing an image volume with full axial coverage using the expanded data and the validity weight according to a predetermined iterative reconstruction technique.
Dependencies are inferred from the claim text.