Patents by Inventor Erik B. Dam

Erik B. Dam 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: 20140357978
    Abstract: Volume changes in a brain, brain ventricle, or hippocampus are quantitatively extracted from a comparison of 3D before and after images using an algorithm that distorts a triangulated surface of the before image to produce the surface of the after image and calculates the volume change from the area change.
    Type: Application
    Filed: June 4, 2013
    Publication date: December 4, 2014
    Inventors: Akshay Pai, Lauge Sorensen, Erik B. Dam, Martin Lillholm, Mads Nielsen
  • Patent number: 8538102
    Abstract: A statistical framework for identifying regions of discrimination between two groups of imaged objects involves determining a weight map defining the regions of discrimination by minimizing the sample size required to discriminate the two groups in a numerical optimization scheme.
    Type: Grant
    Filed: December 15, 2009
    Date of Patent: September 17, 2013
    Assignee: Synarc Inc
    Inventors: Erik B. Dam, Mads Nielsen, Arish Qazi, Martin Lillholm, Dan Richter Jørgenson
  • Publication number: 20130204115
    Abstract: A method for computer based analysis of a low field MR image including a trabecular region of bone for extracting from said image diagnostic information by applying a trained statistical classifier which has been trained on similar labelled according to the severity of a trabecular bone altering disease suffered at the time or later. For each image in the training set a region of interest (ROI) is defined, textural information relating to the intensities of voxels within the ROI is obtained, and combinations of features of said textural information are found which suitably classify the images according to said labelling. An image under study is treated similarly and features of said textural information for the voxels within the ROI of the image are combined as learnt in the training of the classifier to estimate a level of said trabecular bone altering disease or propensity to develop said bone altering disease or a level thereof associated with said image.
    Type: Application
    Filed: May 25, 2011
    Publication date: August 8, 2013
    Applicant: Synarc Inc.
    Inventors: Erik B. Dam, Rabia L. Granlund, Martin Lillholm
  • Patent number: 8300910
    Abstract: A method for the analysis of three dimensional scan data representing an articular cartilage is provided to extract a quantitative parameter indicative of joint pathology. A measure representative of cartilage homogeneity is derived from this three dimensional image data. The measured value is compared with similar measured values previously established in respect of healthy joints and/or joints characterised by a pathology.
    Type: Grant
    Filed: September 19, 2007
    Date of Patent: October 30, 2012
    Assignee: Synarc Inc.
    Inventors: Erik B. Dam, Arish Qazi, Morten Karsdal, Paola C. Petterson, Mads Nielsen, Claus Christiansen
  • Patent number: 8280126
    Abstract: A method for the analysis of three dimensional scan data representing an articular cartilage is provided to extract a quantitative parameter indicative of joint pathology. A measure of local curvature of the cartilage is determined within a region of interest. The value of the quantitative parameter of this joint derived from this measure is compared with the value of a similar quantitative parameter previously established in respect of healthy joints and/or joints characterized by a pathology.
    Type: Grant
    Filed: September 4, 2006
    Date of Patent: October 2, 2012
    Assignee: Synarc Inc.
    Inventors: Erik B. Dam, Jenny Folkesson, Paola Pettersen, Ole F. Olsen, Mads Nielsen, Claus Christiansen
  • Publication number: 20100232671
    Abstract: A statistical framework for identifying regions of discrimination between two groups of imaged objects involves determining a weight map defining the regions of discrimination by minimizing the sample size required to discriminate the two groups in a numerical optimization scheme.
    Type: Application
    Filed: December 15, 2009
    Publication date: September 16, 2010
    Applicant: NORDIC BIOSCIENCE IMAGING A/S
    Inventors: Erik B. Dam, Mads Nielsen, Arish Qazi, Martin Lillholm, Dan Richter Jørgenson
  • Publication number: 20100220907
    Abstract: A method for the analysis of three dimensional scan data representing an articular cartilage is provided to extract a quantitative parameter indicative of joint pathology. A measure representative of cartilage homogeneity is derived from this three dimensional image data. The measured value is compared with similar measured values previously established in respect of healthy joints and/or joints characterised by a pathology.
    Type: Application
    Filed: September 19, 2007
    Publication date: September 2, 2010
    Applicant: Nordic Bioscience Imaging A/S
    Inventors: Erik B. Dam, Arish Qazi, Morten Karsdal, Paola C. Petterson, Mads Nielsen, Claus Christiansen
  • Publication number: 20090299769
    Abstract: A computer based calculation of a prognostic index I of osteoarthritis based on biochemical and imaging based biomarkers a mathematical combination of said values, wherein a first imaging based biomarker is a measure of the quantity of a cartilage in a joint compartment, a second imaging based biomarker relating to the quality of said cartilage in said joint compartment, and wherein a value of said first biomarker indicative of a larger quantity of cartilage affects the index to make it predictive of more disease progression, and a value of said second biochemical marker indicative of a greater departure from the quality of disease free cartilage affects the index to make it predictive of more risk of disease progression, exemplified by I = yHom + zVol + ? n = 1 N ? a n ? Other n where y and z are numerical coefficients, Hom is the measured homogeneity, Vol is the measured cartilage volume, and where Othern represents N further biomarkers each having a respective numerical coefficient an
    Type: Application
    Filed: May 29, 2009
    Publication date: December 3, 2009
    Applicant: Nordic Bioscience Imaging A/S
    Inventors: Erik B. Dam, Marco Loog, Morten Karsdal, Mads Nielsen, Claus Christiansen
  • Publication number: 20090204338
    Abstract: A computer-implemented method of processing an image of at least part of a blood vessel to derive a measure indicative of the instability of calcific deposits in the blood vessel, said blood vessel containing at least one calcific deposit, comprises locating and annotating one or more calcific deposits. Using information derived from the annotation of said calcific deposits, the method further comprises calculating a measure reflecting either one or both of a) the aggregate of the deviations from roundness of individual calcific deposits, and b) up to at least a threshold value, the extent to which the separate calcific deposits are spaced from one another.
    Type: Application
    Filed: February 13, 2008
    Publication date: August 13, 2009
    Inventors: Mads Nielsen, Francois B. Lauze, Marleen De Bruijne, Erik B. Dam, Morten A. Karsdal, Claus Christiansen
  • Publication number: 20090190815
    Abstract: A method for the analysis of three dimensional scan data representing an articular cartilage is provided to extract a quantitative parameter indicative of joint pathology. A measure of local curvature of the cartilage is determined within a region of interest. The value of the quantitative parameter of this joint derived from this measure is compared with the value of a similar quantitative parameter previously established in respect of healthy joints and/or joints characterised by a pathology.
    Type: Application
    Filed: September 4, 2006
    Publication date: July 30, 2009
    Applicant: Nordic Bioscience A/S
    Inventors: Erik B. Dam, Jenny Folkesson, Paola Petterson, Ole F. Olsen, Mads Nielsen, Claus Christiansen