General Electric Company

University of Michigan

Donghwan Kim

Jeffrey Allen Fessler

Bruno Kristiaan Bernard De Man

Jean-Baptiste Thibault

Lin Fu

Debashish Pal

Somesh Srivastava

Zhou Yu

Jang Hwan Cho

David C Martin

Sathish Ramani

Sarah M Richardson-Burns

Jeffrey L Hendricks

Evgeny Drapkin

Laura K Povlich

Madison Gray McGaffin

Ryan Thome

Mohamad Reza Abidian

Matthew Meier

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

Methods, systems, and non-transitory computer readable media for image reconstruction are presented. Measured data corresponding to a subject is received. A preliminary image update in a particular iteration is determined based on one or more image variables computed using at least a subset of the measured data in the particular iteration. Additionally, at least one momentum term is determined based on the one or more image variables computed in the particular iteration and/or one or more further image variables computed in one or more iterations preceding the particular iteration. Further, a subsequent image update is determined using the preliminary image update and the momentum term. The preliminary image update and/or the subsequent image update are iteratively computed for a plurality of iterations until one or more termination criteria are satisfied.

Ordered subsets with momentum for X-ray CT image reconstruction

A method is provided for iteratively reconstructing an image of an object. The method includes accessing measurement data associated with the image, and using a simultaneous algorithm to reconstruct the image. Using the simultaneous algorithm to reconstruct the image includes determining a scaling factor that is voxel-dependent, and applying the voxel-dependent scaling factor to a gradient of an objective function to reconstruct the image.

Method and apparatus for iterative reconstruction

Bioelectrodes having enhanced biocompatible and biomimetic features are provided. Methods of making and using the bioelectrodes are further provided. A biologically integrated bioelectrode device and method for detecting electronic signals using a bioelectrode comprising a first electrically conductive substrate and a biological component. The bioelectrode also comprises a conductive polymer electrically coupling the first electrically conductive substrate and the biological component to define a bioelectrode. The bioelectrode can transmit or receive an electrical signal between the electrically conductive substrate and the biological component and conductive polymer.

Biologically integrated electrode devices

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Ann Arbor, MI, United States of America

Donghwan Kim