Artificial intelligence based 3d reconstruction
AssigneeCanon Medical Systems Corporation
InventorsRui HUA, Komal DUTTA, Joseph MANAK, Yi HU, Yubing CHANG, Yujie LU, John BAUMGART
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AssigneeCanon Medical Systems Corporation
InventorsRui HUA, Komal DUTTA, Joseph MANAK, Yi HU, Yubing CHANG, Yujie LU, John BAUMGART
Estimating the term…
A projection dataset from a cone beam computed tomography (CBCT) can be input into a first set of one or more neural networks trained for at least one of saturation correction, truncation correction, and scatter correction. Reconstruction can then be performed on the output projection dataset to produce an image dataset. Thereafter, this image dataset can be input into a second set of one or more neural networks trained for at least one of noise reduction and artefact reduction, thereby generating a higher quality CBCT image.
A method for producing a trained machine learning model, the method comprising:
An apparatus for producing a trained machine learning model, the apparatus comprising:
A method of processing target image data of a first object acquired by a first radiation apparatus, the method comprising:
An apparatus for processing target image data of a first object acquired by a first radiation apparatus, the apparatus comprising:
Dependencies are inferred from the claim text.