Method and device for obtaining predicted image of truncated portion
AssigneeGE Precision Healthcare LLC
InventorsXueli Wang, Bingjie Zhao, Shiyu Li, Dan Liu
Life of this patent
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Abstract
The present application provides a method and device for obtaining a predicted image of a truncated portion, an imaging method and system, and a non-transitory computer-readable storage medium. The method for obtaining a predicted image of a truncated portion comprises preprocessing projection data to obtain, by reconstruction, an initial image of the truncated portion; and calibrating the initial image based on a trained learning network to obtain the predicted image of the truncated portion.
Claims12
A method for obtaining a predicted image of a truncated portion, the method comprising:
- preprocessing projection data to obtain, by reconstruction, an initial image of the truncated portion;
- and
- calibrating the initial image based on a trained learning network to obtain the predicted image of the truncated portion, wherein the calibrating the initial image based on a trained learning network to obtain the predicted image of the truncated portion comprises:
- converting pixels of the initial image of the truncated portion from polar coordinates to rectangular coordinates, to obtain a pixel matrix of the initial image;
- calibrating the pixel matrix based on the trained learning network;
- and
- converting the calibrated pixel matrix from rectangular coordinates to polar coordinates, to obtain the predicted image of the truncated portion.
A device for obtaining a predicted image of a truncated portion, the device comprising:
- a preprocessing device, configured to preprocess projection data to obtain, by reconstruction, an initial image of the truncated portion;
- and
- a control device, configured to calibrate the initial image based on a trained learning network to obtain the predicted image of the truncated portion, wherein the control device comprises:
- a transformation module, configured to convert pixels of the initial image of the truncated portion from polar coordinates to rectangular coordinates, to obtain a pixel matrix of the initial image;
- a calibration module, configured to calibrate the pixel matrix based on the trained learning network;
- and
- an inverse transformation module, configured to convert the calibrated pixel matrix from rectangular coordinates to polar coordinates, to obtain the predicted image of the truncated portion.
Dependencies are inferred from the claim text.