Patents Assigned to University of Utah Reasearch Foundation
  • Patent number: 10304217
    Abstract: An image is reconstructed based upon a filtered backprojection (FBP) technique using a reconstruction filter which is customized or shaped by parameters including a weight value that is determined for weighing projection data according to a predetermined noise model. The weight value is determined based upon rays or views in the projection data. A regularization term is also combined with the noise-weighted FBP.
    Type: Grant
    Filed: July 30, 2012
    Date of Patent: May 28, 2019
    Assignees: TOSHIBA MEDICAL SYSTEMS CORPORATION, UNIVERSITY OF UTAH REASEARCH FOUNDATION
    Inventors: Gengsheng L. Zeng, Alexander Zamyatin
  • Patent number: 8521303
    Abstract: An in-vivo implantable coil assembly includes a planar coil having at least one coil layer formed from conductive traces disposed in or on a polymer matrix. A ferrite platelet is bonded to a surface of the polymer matrix. Methods of making and using the in-vivo implantable coil assembly are also disclosed.
    Type: Grant
    Filed: July 17, 2007
    Date of Patent: August 27, 2013
    Assignee: University of Utah Reasearch Foundation
    Inventors: Florian Solzbacher, Reid R. Harrison, Richard A. Normann, Sohee Kim, Michael Töpper, Hans-Hermann Oppermann, Klaus Buschick, Matthias Klein
  • Publication number: 20070105102
    Abstract: Methods are provided for estimating the risk of developing melanoma and related malignancies in an individual. Methods and compositions for diagnosing, treating, and preventing melanoma and related malignancies also are provided.
    Type: Application
    Filed: April 29, 2004
    Publication date: May 10, 2007
    Applicants: University of Utah Reasearch Foundation, Nuvera Biosciences, Inc.
    Inventors: Sancy Leachman, Christos Hatzis, Nandan Padukone, Harold Erickson, Patricia Porter-Gill
  • Patent number: 6879735
    Abstract: A method of digital image enhancement and sharpening (11, 12) which may be applied to restoration of blurred digital images of arbitrary origin. The method uses a specially formulated constraint (15) to reconstruct the original images. In particular, the constraint of the present method minimizes the area where strong image parameter variations and discontinuities occur. This new constraint is called a minimum gradient support (MGS) constraint. The MGS constraint generates a stable sharp solution of the linear ill-posed image restoration equation with an arbitrary blurring operator.
    Type: Grant
    Filed: September 13, 1999
    Date of Patent: April 12, 2005
    Assignee: University of Utah Reasearch Foundation
    Inventors: Oleg N. Portniaguine, Michael S. Zhdanov