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US 11,769,277 B2Granted
Deep learning based scatter correction
AssigneeKoninklijke Philips N.V.
InventorsShiyu Xu, Peter Prinsen, Jens Wiegert, Ravindra Mohan Manjeshwar
Life of this patent
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AssigneeKoninklijke Philips N.V.
InventorsShiyu Xu, Peter Prinsen, Jens Wiegert, Ravindra Mohan Manjeshwar
Estimating the term…
An imaging system includes a computed tomography (CT) imaging device (10) (optionally a spectral CT), an electronic processor (16, 50), and a non-transitory storage medium (18, 52) storing a neural network (40) trained on simulated imaging data (74) generated by Monte Carlo simulation (60) including simulation of at least one scattering mechanism (66) to convert CT imaging data to a scatter estimate in projection space or to convert an uncorrected reconstructed CT image to a scatter estimate in image space. The storage medium further stores instructions readable and executable by the electronic processor to reconstruct CT imaging data (12, 14) acquired by the CT imaging device to generate a scatter-corrected reconstructed CT image (42). This includes generating a scatter estimate (92, 112, 132, 162, 182) by applying the neural network to the acquired CT imaging data or to an uncorrected CT image (178) reconstructed from the acquired CT imaging data.
A non-transitory storage medium configured to store instructions readable and executable by a processor to perform a method comprising:
A computer-implemented method, comprising:
An imaging system, comprising:
Dependencies are inferred from the claim text.