Nokia Technologies Oy

Other

Junzhou Huang

Xin Chen

Dimitris Metaxas

A method, apparatus and computer program product are provided for image registration in the gradient domain. A method is provided including receiving a first image and second image; and registering the first and second images in a gradient domain. The registration of the first and second images in the gradient domain includes applying an energy minimization function based on total variation.

Method and apparatus for image registration in the gradient domain

A method, apparatus and computer program product are provided for image registration in the gradient domain. A method is provided including receiving three or more input images and registering, simultaneously, the three or more input images in the gradient domain based on applying an energy minimization function.

Method and apparatus for multiple image registration in the gradient domain

A system and method of reconstructing an image through solution of a data fitting problem, wherein the data fitting problem is not susceptible to efficient solution as a whole, is disclosed, which may comprise gathering, via a computing device, k-space image data, selecting a data fitting problem solution algorithm for the k-space data, decomposing the data fitting problem solution into a plurality of sub-problem solutions each susceptible to efficient solution separately for the k-space data, obtaining, via the computing device, the plurality of sub-problem solutions for the k-space data, and reconstructing, via the computing device, the image based upon a weighted average of the plurality of sub-problem solutions for the k-space data. The image may be a magnetic resonance image. The data fitting problem may comprise a minimization of a plurality of linear terms of a least square data fitting solution. The image may comprise under-sampled k-space image data.

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Grapevine, TX, United States of America

Junzhou Huang