Varian Medical Systems Inc
ADAPTIVE IMAGE FILTERING FOR VOLUME RECONSTRUCTION USING PARTIAL IMAGE DATA

Abstract:

A method of generating an image synthesis process is disclosed, where the image synthesis process improves image quality of degraded volumetric images. In the method, a machine learning process is trained in a supervised learning framework as the image synthesis process. In the supervised learning process, a lower-quality partial-data reconstruction of a target volume is employed as an input object in the supervised learning process and a higher-quality full data reconstruction of the target volume is employed as an expected output. The full data reconstruction is generated based on a first set of projection images of the three-dimensional volume and the partial-data reconstruction is generated based on a second set of projection images of the three-dimensional volume, where the second set of projection images includes projection images that have less image information and/or are of a lower image quality than the first set of projection images.