Patents by Inventor Magnus Borga

Magnus Borga has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20210366616
    Abstract: The present invention relates to a method (100) of providing a basis for an evaluation of an individual's propensity for a certain health state. The method comprises the steps of acquiring (102) at least two of the following 5 parameter values of the individual's body out of the group: amount of visceral fat, amount of subcutaneous fat, volume of at least one tissue compartment, concentration of fat infiltrated in at least one tissue compartment, concentration of fat infiltrated in at least one organ, and concentration of fat in bone marrow; determining (104) a body composition profile, BCP, for the 10 individual using said at least two acquired parameter values in combination, and comparing (106) the BCP for the individual with parameter values which are based on previously stored BCPs of other individuals.
    Type: Application
    Filed: October 25, 2018
    Publication date: November 25, 2021
    Inventors: Magnus Borga, Olof Dahlqvist Leinhard, Jennifer Linge
  • Patent number: 9996926
    Abstract: The present invention relates to a method of quantifying a lean tissue volume comprising the steps of acquiring (10) a acquired image as a water-fat separated magnetic resonance image, wherein the acquired image comprises a water image and a fat image, providing (20) a calibrated fat image (F), providing (30) a soft tissue mask (STM) defining areas of soft tissue in the acquired image, and defining (40) a region of interest (ROI) of the acquired image. The method further comprises a step of calculating (50) a lean tissue volume (LTV) by multiplying, for each volume element in the region of interest, the soft tissue mask with the volume (Vvox) of each volume element and the result of one minus the calibrated fat image, and summarizing the products of said multiplications for all volume elements in the region of interest.
    Type: Grant
    Filed: April 21, 2015
    Date of Patent: June 12, 2018
    Assignee: ADVANCED MR ANALYTICS AB
    Inventors: Olof Dahlqvist Leinhard, Magnus Borga, Thobias Romu
  • Patent number: 9818189
    Abstract: The present invention relates to a method for classification of an organ in a tomographic image. The method comprises the steps of receiving (102) a 3-dimensional anatomical tomographic target image comprising a water image data set and a fat image data set, each with a plurality of volume elements, providing (104) a prototype image comprising a 3-dimensional image data set with a plurality of volume elements, wherein a sub-set of the volume elements are given an organ label, transforming (106) the prototype image by applying a deformation field onto the volume elements of the prototype image such that each labeled volume element for a current organ is determined to be equivalent to a location for a volume element in a corresponding organ in the target image, and transferring (108) the labels of the labeled volume elements of the prototype image to corresponding volume elements of the target image.
    Type: Grant
    Filed: February 17, 2012
    Date of Patent: November 14, 2017
    Assignee: ADVANCED MR ANALYTICS AB
    Inventors: Olof Dahlqvist Leinhard, Magnus Borga
  • Publication number: 20170046837
    Abstract: The present invention relates to a method of quantifying a lean tissue volume comprising the steps of acquiring (10) a acquired image as a water-fat separated magnetic resonance image, wherein the acquired image comprises a water image and a fat image, providing (20) a calibrated fat image (F), providing (30) a soft tissue mask (STM) defining areas of soft tissue in the acquired image, and defining (40) a region of interest (ROI) of the acquired image. The method further comprises a step of calculating (50) a lean tissue volume (LTV) by multiplying, for each volume element in the region of interest, the soft tissue mask with the volume (Vvox) of each volume element and the result of one minus the calibrated fat image, and summarizing the products of said multiplications for all volume elements in the region of interest.
    Type: Application
    Filed: April 21, 2015
    Publication date: February 16, 2017
    Inventors: Olof Dahlqvist Leinhard, Magnus Borga, Thobias Romu
  • Publication number: 20150125056
    Abstract: The present invention relates to a method for classification of an organ in a tomographic image. The method comprises the steps of receiving (102) a 3-dimensional anatomical tomographic target image comprising a water image data set and a fat image data set, each with a plurality of volume elements, providing (104) a prototype image comprising a 3-dimensional image data set with a plurality of volume elements, wherein a sub-set of the volume elements are given an organ label, transforming (106) the prototype image by applying a deformation field onto the volume elements of the prototype image such that each labeled volume element for a current organ is determined to be equivalent to a location for a volume element in a corresponding organ in the target image, and transferring (108) the labels of the labeled volume elements of the prototype image to corresponding volume elements of the target image.
    Type: Application
    Filed: February 17, 2012
    Publication date: May 7, 2015
    Applicant: ADVANCED MR ANALYTICS AB
    Inventors: Olof Dahlqvist Leinhard, Magnus Borga
  • Patent number: 8605967
    Abstract: Present invention discloses systems and methods for improvement of magnetic resonance images. Correction of a chemical shift artefact in an image acquired from a magnetic resonance imaging system is obtained by a system and a method involving iterative-compensation for the misregistration effect in an image domain. Correction of an intensity inhomogeneity in such images is obtained by a system and a method involving locating voxels corresponding to pure adipose tissue and estimating correction field from these points.
    Type: Grant
    Filed: April 17, 2009
    Date of Patent: December 10, 2013
    Assignee: Advanced MR Analytics AB
    Inventors: Olof Dahlqvist Leinhard, Magnus Borga, Peter Lundberg
  • Publication number: 20110091090
    Abstract: Present invention discloses systems and methods for improvement of magnetic resonance images. Correction of a chemical shift artefact in an image acquired from a magnetic resonance imaging system is obtained by a system and a method involving iterative-compensation for the misregistration effect in an image domain. Correction of an intensity inhomogeneity in such images is obtained by a system and a method involving locating voxels corresponding to pure adipose tissue and estimating correction field from these points.
    Type: Application
    Filed: April 17, 2009
    Publication date: April 21, 2011
    Inventors: Olof Dahlqvist Leinhard, Magnus Borga, Peter Lundberg
  • Publication number: 20060282009
    Abstract: Device for measuring physical properties of the tympanic membrane (TM), comprising an elongated probe (12) with a distal end (15) for inspection of the ear, wherein a plurality of optical fibres is arranged in said elongated probe. The plurality of fibres includes either a first set of fibres (21) for conveying light from a light source to said distal end of said probe and a second set of fibres (22) for conveying light reflected from the tympanic membrane in front of said distal end to a first detector means (23) or a set of fibres both for conveying light from a light source to said distal end of said probe and for conveying light reflected from the tympanic membrane in front of said distal end to a first detector means (23). Said first detector means (23) is designed for measuring the intensity of light reflected from the tympanic membrane.
    Type: Application
    Filed: June 11, 2004
    Publication date: December 14, 2006
    Inventors: Ake Oberg, Anders Johansson, Hans Knutsson, Magnus Borga, Tomas Stromberg, Mikael Sundberg