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US 8,571,291 B2Granted
Combination weight applied to iterative reconstruction in image reconstruction
AssigneesKabushiki Kaisha Toshiba, Toshiba Medical Systems Corporation
InventorsDaxin Shi, Yu Zou, Alexander Zamyatin
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Abstract
The image generation method and system generates an image using a predetermined iterative reconstruction technique, and an instance of the iteration process is weighted according to a predetermined combination of weights during the reconstruction. The predetermined combination of the weights includes weights based upon a predetermined noise model and a predetermined window function to improve image quality.
Claims12
A method of generating an image, comprising the steps of:
- a) generating a combination weight value for measured projection data at each of measured projections based upon at least a predetermined noise model and a predetermined window function;
- and
- b) applying the combination weight values using the measured projection data in one of predetermined iterative reconstruction techniques while an image is being iteratively reconstructed, wherein the predetermined noise model is defined by V=(g I+Ve/I)/I, where the I is a measured signal while Ve and g are respectively the electronic noise variance and the detector gain that is function of channels, segments, a data acquisition system and or collimation.
A system for generating an image, comprising:
- a noise reduction device for generating a combination weight value for measured projection data at each of measured projections based upon a combination of a predetermined noise model and a predetermined window function;
- and
- a reconstruction device connected to said noise reduction device for applying the combination weight values using the measured projection data in one of predetermined iterative reconstruction techniques while an image is being iteratively reconstructed, wherein the predetermined noise model is defined by V=(g I+Ve/I)/I, where the I is a measured signal while Ve and g are respectively the electronic noise variance and the detector gain that is function of channels, segments, a data acquisition system and or collimation.
Dependencies are inferred from the claim text.