Title:
深層学習ベースの散乱補正
Document Type and Number:
Japanese Patent JP6984010
Kind Code:
B2
Abstract:
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.
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Inventors:
Susyu
Princen Peter
Wigelt Gens
Manje Schwa Ravindra Mohan
Princen Peter
Wigelt Gens
Manje Schwa Ravindra Mohan
Application Number:
JP2020517389A
Publication Date:
December 17, 2021
Filing Date:
September 28, 2018
Export Citation:
Assignee:
KONINKLIJKE PHILIPS N.V.
International Classes:
A61B6/03
Domestic Patent References:
| JP2013512024A |
Foreign References:
| CN105574828A | ||||
| WO2013089155A1 | ||||
| US20090225932 | ||||
| WO1993006560A1 |
Attorney, Agent or Firm:
Patent Services Corporation m&s Partners