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US 12,582,373 B2Granted
Generating synthetic electron density images from magnetic resonance images
AssigneeSpectronic AB
InventorCarl Siversson
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AssigneeSpectronic AB
InventorCarl Siversson
Estimating the term…
A conversion device is operable to perform a learning-based method of generating a synthetic electron density image (sCT) of an anatomical portion based on one or more magnetic resonance (MR) images. The method is processing-efficient and capable of producing highly accurate sCT images irrespective of misalignment in the underlying training set. The conversion device receives and installs a machine-learning model trained to predict coefficients of an image transfer function. The conversion device then receives a current set of MR images of the anatomical portion, computes current coefficients of the image transfer function by operating the machine-learning model on the current set of MR images, and computes a current sCT image of the anatomical portion by operating the current coefficients, in accordance with the image transfer function, on the current set of MR images.
A computer-implemented method for generating a synthetic electron density image of an anatomical portion from a current set of origin images, said method comprising:
A device for generating a synthetic electron density image of an anatomical portion from a current set of origin images, said device comprising a processor which is configured to:
A non-transitory computer readable medium storing a machine-learning model, the machine-learning model trained to determine coefficient values of an image transfer function to achieve a similarity criterion between reference images and synthetic electron density images, the image transfer function being a predefined parametric function containing the coefficients which generates the synthetic electron density images by operating the predefined parametric function of the image transfer function populated with the determined coefficients on origin images that correspond to the reference images.
Dependencies are inferred from the claim text.