Patents by Inventor Yechiel Lamash

Yechiel Lamash 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).

  • Tissue classification
    Patent number: 8781192
    Abstract: A method for classifying tissue as normal or abnormal tissue includes obtaining segmented reconstructed volumetric image data for predetermined tissue of interest, generating a 2D voxel representation of the segmented reconstructed volumetric image data, and classifying voxels of the segmented reconstructed volumetric image data as corresponding to abnormal and normal tissue based on the 2D voxel representation.
    Type: Grant
    Filed: April 27, 2011
    Date of Patent: July 15, 2014
    Assignee: Koninklijke Philips N.V.
    Inventors: Yechiel Lamash, Jonathan Lessick, Asher Gringauz
  • CONTRAST TO NOISE RATIO (CNR) ENHANCER
    Publication number: 20130243348
    Abstract: A method includes enhancing a contrast to noise ratio (CNR) of image data, generating CNR enhanced image data, wherein the CNR enhanced image data has a substantially same image quality as the image data. A computing system (118) includes a computer readable storage medium (122) encoded with computer readable instructions for enhancing a contrast to noise ratio (CNR) of image data and one or more processors (120), which, when executing the computer readable instructions, causes the computing system to enhance the CNR of the image data. A method includes generating CNR enhanced image data, wherein CNR enhanced image data has a substantially same noise level, noise power spectrum, and spatial resolution of the image data.
    Type: Application
    Filed: November 16, 2011
    Publication date: September 19, 2013
    Applicant: KONINKLIJKE PHILIPS ELECTRONICS N.V.
    Inventors: Liran Goshen, Asher Gringauz, Yechiel Lamash, Andrei Feldman, Guido Pardo-Roques, Jonathan Sapir
  • TISSUE CLASSIFICATION
    Publication number: 20130077838
    Abstract: A method for classifying tissue as normal or abnormal tissue includes obtaining segmented reconstructed volumetric image data for predetermined tissue of interest, generating a 2D voxel representation of the segmented reconstructed volumetric image data, and classifying voxels of the segmented reconstructed volumetric image data as corresponding to abnormal and normal tissue based on the 2D voxel representation.
    Type: Application
    Filed: April 27, 2011
    Publication date: March 28, 2013
    Applicant: KONINKLIJKE PHILIPS ELECTRONICS N.V.
    Inventors: Yechiel Lamash, Jonathan Lessick, Asher Gringauz