Patents by Inventor Gernot Ebel

Gernot Ebel 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).

  • Patent number: 9418453
    Abstract: An image reconstruction method for reconstructing an image fmin representing a region of investigation within an object includes providing detector data (yi) having Poisson random values from an X-ray transmission measurement using an X-ray source and a detector device, the detector data (yi) being measured at an i-th of a plurality of different pixel positions of the detector device relative to the object, and reconstructing the image fmin based on the detector data (yi), the reconstructing step including a procedure of minimizing a functional F ? ( f _ ) = 1 k ? ? i = 1 k ? ? ( ? i - y i ? log ? ? ? i ) + a ? ? T - 1 ? f _ ? p where f is a current test image used for minimizing the functional F(f). The image fmin represents the global minimum of F(f).
    Type: Grant
    Filed: July 13, 2011
    Date of Patent: August 16, 2016
    Assignee: Scivis wissenschaftliche Bildverarbeitung GmbH
    Inventors: Timo Aspelmeier, Gernot Ebel, Uwe Engeland
  • Publication number: 20140140602
    Abstract: An image reconstruction method for reconstructing an image fmin representing a region of investigation within an object includes providing detector data (yi) having Poisson random values from an X-ray transmission measurement using an X-ray source and a detector device, the detector data (yi) being measured at an i-th of a plurality of different pixel positions of the detector device relative to the object, and reconstructing the image fmin based on the detector data (yi), the reconstructing step including a procedure of minimizing a functional F ? ( f _ ) = 1 k ? ? i = 1 k ? ? ( ? i - y i ? log ? ? ? i ) + a ? ? T - 1 ? f _ ? p where f is a current test image used for minimizing the functional F(f). The image fmin represents the global minimum of F(f).
    Type: Application
    Filed: July 13, 2011
    Publication date: May 22, 2014
    Inventors: Timo Aspelmeier, Gernot Ebel, Uwe Engeland
  • Patent number: 8559690
    Abstract: An image reconstruction method for reconstructing a tomographic image (fj) of a region of investigation within an object (1), comprises the steps of providing detector data (yi) comprising Poisson random values measured at an i-th of a plurality of different positions, e.g. i=(k,l) with pixel index k on a detector device and angular index l referring to both the angular position (?l) and the rotation radius (rl) of the detector device (10) relative to the object (1), providing a predetermined system matrix Aij assigning a j-th voxel of the object (1) to the i-th detector data (yi), and reconstructing the tomographic image (fj) based on the detector data (yi), said reconstructing step including a procedure of minimizing a functional F(f) depending on the detector data (yi) and the system matrix Aij and additionally including a sparse or compressive representation of the object (1) in an orthobasis T, wherein the tomographic image (fj) represents the global minimum of the functional F(f).
    Type: Grant
    Filed: January 28, 2010
    Date of Patent: October 15, 2013
    Assignee: Scivis wissenschaftliche Bildverarbeitung GmbH
    Inventors: Timo Aspelmeier, Gernot Ebel, Christoph Hoeschen
  • Publication number: 20120281896
    Abstract: An image reconstruction method for reconstructing a tomographic image (fj) of a region of investigation within an object (1), comprises the steps of providing detector data (yi) comprising Poisson random values measured at an i-th of a plurality of different positions, e.g. i=(k,l) with pixel index k on a detector device and angular index l referring to both the angular position (?l) and the rotation radius (rl) of the detector device (10) relative to the object (1), providing a predetermined system matrix Aij assigning a j-th voxel of the object (1) to the i-th detector data (yi), and reconstructing the tomographic image (fj) based on the detector data (yi), said reconstructing step including a procedure of minimizing a functional F(f) depending on the detector data (yi) and the system matrix Aij and additionally including a sparse or compressive representation of the object (1) in an orthobasis T, wherein the tomographic image (fj) represents the global minimum of the functional F(f).
    Type: Application
    Filed: January 28, 2010
    Publication date: November 8, 2012
    Inventors: Timo Aspelmeier, Gernot Ebel, Christoph Hoeschen
  • Patent number: 7199371
    Abstract: A tomography device, particularly for single photon emission computed tomography (SPECT), comprises a multi-pinhole collimator and a detector for detecting gamma quanta or photons that penetrate the multi-pinhole collimator. In a tomographic method using the device, the distance between the object and the multi-pinhole collimator is selected to be smaller than the distance between the multi-pinhole collimator and the surface of the detector.
    Type: Grant
    Filed: August 2, 2002
    Date of Patent: April 3, 2007
    Assignees: Forschungszentrum Julich GmbH, Scivis GmbH
    Inventors: Nils Schramm, Horst Halling, Gernot Ebel
  • Publication number: 20040239941
    Abstract: The invention relates to a tomography device and method, particularly for single photon emission computed tomography (SPECT). The device for carrying out a tomography method, especially for carrying out a single photon tomography, comprises a multi-pinhole collimator and a detector for detecting gamma quanta or photons that penetrate the multi pinhole collimator. According to the device for carrying out the tomographic method, the distance between the object and the multi-pinhole collimator is selected to be smaller than the distance between the multi-pinhole collimator and the surface of the detector. The invention provides a device and a method with which the desired result can be achieved with a high spatial resolution and sensitivity.
    Type: Application
    Filed: July 7, 2004
    Publication date: December 2, 2004
    Inventors: Nils Schramm, Horst Halling, Gernot Ebel