Harmonizing diffusion tensor images using machine learning
AssigneeOmniscient Neurotechnology Pty Limited
InventorsMichael Edward Sughrue, Stephane Philippe Doyen, Peter James Nicholas, Hugh Monro Taylor
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AssigneeOmniscient Neurotechnology Pty Limited
InventorsMichael Edward Sughrue, Stephane Philippe Doyen, Peter James Nicholas, Hugh Monro Taylor
Estimating the term…
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for harmonizing diffusion tensor images. One of the methods includes obtaining a diffusion tensor image; determining a set of RISH features for the diffusion tensor image; processing a model input generated from the set of RISH features using a machine learning model to generate a model output identifying an image transformation from a set of image transformations, wherein each image transformation in the set of image transformations corresponds to a respective different first MRI scanner and represents a transformation that, when applied to first diffusion tensor images captured by the first MRI scanner, harmonizes the first diffusion tensor images with second diffusion tensor images captured by a reference MRI scanner; and processing the diffusion tensor image using the identified image transformation to generate a harmonized diffusion tensor image.
A magnetic resonance imaging harmonization method comprising:
A magnetic resonance imaging harmonization system comprising one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising:
One or more non-transitory storage media storing magnetic resonance imaging harmonization instructions that when executed by one or more computers cause the one or more computers to perform operations comprising:
Dependencies are inferred from the claim text.