Systems and methods for deep learning-based image reconstruction
AssigneeGeneral Electric Company
InventorsGiovanni John Jacques Palma, Razvan Iordache
Life of this patent
Estimating the term…
Abstract
Methods and systems for deep learning based image reconstruction are disclosed herein. An example method includes receiving a set of imaging projections data, identifying a voxel to reconstruct, receiving a trained regression model, and reconstructing the voxel. The voxel is reconstructed by: projecting the voxel on each imaging projection in the set of imaging projections according to an acquisition geometry, extracting adjacent pixels around each projected voxel, feeding the regression model with the extracted adjacent pixel data to produce a reconstructed value of the voxel, and repeating the reconstruction for each voxel to be reconstructed to produce a reconstructed image.
Claims21
A method comprising:
- receiving a set of imaging projection data;
- identifying a voxel to reconstruct;
- receiving a trained regression model;
- and
- reconstructing the voxel by:
- projecting the voxel onto each imaging projection in the set of projections according to an acquisition geometry;
- extracting adjacent pixels around each projected voxel;
- feeding the regression model with the extracted adjacent pixel data to produce a reconstructed value for the voxel;
- and
- repeating the reconstruction for each voxel to be reconstructed to produce a reconstructed image.
A system comprising:
- a regression model trainer to train a regression model;
- a voxel identifier to identify a voxel to be reconstructed;
- an imaging projections data receiver to receive a set of imaging projections;
- and
- a voxel reconstructor including:
- a voxel projector to project the voxel onto each imaging projection in the set of imaging projections according to an acquisition geometry;
- an adjacent pixel extractor to extract adjacent pixels around each projected voxel;
- and
- a regression model feeder to feed the regression model with the extracted adjacent pixel data to produce a reconstructed value of the voxel.
A non-transitory computer readable storage medium comprising instructions which, when executed, cause a machine to at least:
- receive a set of imaging projections data;
- identify a voxel to reconstruct;
- receive a trained regression model;
- and
- reconstruct the voxel by:
- projecting the voxel onto each imaging projection in the set of imaging projections according to an acquisition geometry;
- extracting adjacent pixels around each projected voxel;
- feeding the regression model with the extracted adjacent pixel data to produce a reconstructed value for the voxel;
- and
- repeating the reconstruction for each voxel to be reconstructed to produce a reconstructed image.
-64. (canceled)
Dependencies are inferred from the claim text.