Patents by Inventor Andre PAMPEL

Andre PAMPEL 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).

  • Method and device for magnetic resonance imaging with improved sensitivity by noise reduction
    Patent number: 10249065
    Abstract: A method of image processing of magnetic resonance (MR) images for creating de-noised MR images, comprises the steps of providing image data sets including multiple complex MR images (S7), subjecting the MR images to a wavelet decomposition (S12) for creating coefficient data sets of wavelet coefficients (Sn,m) representing the MR images in a wavelet frequency domain, calculating normalized coefficient data sets of wavelet coefficients Formula (I) (S17), wherein the coefficient data sets are normalized with a quantitative amount of variation, in particular standard deviation Formula (II), of noise contributions included in the coefficient data sets (Sn,m), averaging the wavelet coefficients of each coefficient data set (S18) for providing averaged wavelet coefficients Formula (III) of the coefficient data sets, calculating phase difference maps (??n,m) for all coefficient data sets (S20), wherein the phase difference maps provide phase differences between the phase of each wavelet coefficient and the phase of
    Type: Grant
    Filed: May 8, 2015
    Date of Patent: April 2, 2019
    Assignee: Max-Planck-Gesellschaft zur Foerderung der Wissenschaften e.V
    Inventors: Henrik Marschner, Andre Pampel, Harald Moeller
  • METHOD AND DEVICE FOR MAGNETIC RESONANCE IMAGING WITH IMPROVED SENSITIVITY BY NOISE REDUCTION
    Publication number: 20180089863
    Abstract: A method of image processing of magnetic resonance (MR) images for creating de-noised MR images, comprises the steps of providing image data sets including multiple complex MR images (S7), subjecting the MR images to a wavelet decomposition (S12) for creating coefficient data sets of wavelet coefficients (Sn,m) representing the MR images in a wavelet frequency domain, calculating normalized coefficient data sets of wavelet coefficients Formula (I) (S17), wherein the coefficient data sets are normalized with a quantitative amount of variation, in particular standard deviation Formula (II), of noise contributions included in the coefficient data sets (Sn,m), averaging the wavelet coefficients of each coefficient data set (S18) for providing averaged wavelet coefficients Formula (III) of the coefficient data sets, calculating phase difference maps (??n,m) for all coefficient data sets (S20), wherein the phase difference maps provide phase differences between the phase of each wavelet coefficient and the phase of
    Type: Application
    Filed: May 8, 2015
    Publication date: March 29, 2018
    Inventors: Henrik MARSCHNER, Andre PAMPEL, Harald MOELLER