General Electric Company

University of Michigan

Madison Gray McGaffin

Jean-Baptiste Thibault

Jeffrey Allen Fessler

Debashish Pal

Bruno Kristiaan Bernard De Man

Zhou Yu

Lin Fu

Sathish Ramani

Evgeny Drapkin

Somesh Srivastava

Donghwan Kim

Ryan Thome

A method for iteratively reconstructing an image is provided. The method includes acquiring, with a detector, computed tomography (CT) imaging information. The method also includes generating, with at least one processor, sinogram information from the CT imaging information. Further, the method includes generating, with the at least one processor, image domain information from the CT imaging information. Also, the method includes updating the image using the sinogram information. The method further includes updating the image using the image domain information. Updating the image using the sinogram information and updating the image using the image domain information are performed separately and alternately in an iterative fashion.

Systems and methods for parallel processing of imaging information

The use of the channelized preconditioners in iterative reconstruction is disclosed. In certain embodiments, different channels correspond to different frequency sub-bands and the output of the different channels can be combined to update an image estimate used in the iterative reconstruction process. While individual channels may be relatively simple, the combined channels can represent complex spatial variant operations. The use of channelized preconditioners allows empirical adjustment of individual channels.

Iterative reconstruction in image formation

Growing community of inventors

Ann Arbor, MI, United States of America

Madison Gray McGaffin