The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 8699773 B1

PDF
Full Text
Expired
Date of Patent:
Apr. 15, 2014

Filed:

Oct. 21, 2010
Applicants:

Mehmet Akcakaya, Cambridge, MA (US);

Reza Nezafat, Newton, MA (US);

Inventors:

Mehmet Akcakaya, Cambridge, MA (US);

Reza Nezafat, Newton, MA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

A method for reconstructing an image of a subject from undersampled image data that is acquired with an imaging system, such as a magnetic resonance imaging system or computed tomography system, is provided. From the acquired undersampled image data, an image of the subject is reconstructed and used to guide further image reconstruction. For example, a low resolution image is reconstructed from a portion of the undersampled image data, such as from a portion corresponding to the center of k-space when MRI is used. From this image, a number of similarity clusters are produced and processed. The processing may be by hard thresholding, Wiener filtering, principal component pursuit, or other similar techniques. These processed similarity clusters are then used to reconstruct a final, target image of the subject using, for example, a weighted average combination of the similarity clusters.


Find Patent Forward Citations

Akcakaya, Mehmet. (2014). Method for image reconstruction using low-dimensional-structure self-learning and thresholding (U.S. Patent No. 8699773). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/8699773

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