Patents by Inventor Edna Haran

Edna Haran 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).

  • LUNG CANCER DIAGNOSIS USING MAGNETIC RESONANCE IMAGING DATA OBTAINED AT THREE TIME POINTS
    Publication number: 20110245657
    Abstract: A malignancy classification method and medium for diagnosing a region of lung tissue based on MRI data are disclosed. The classifying includes: setting time points T1 and T2 measured from injection of a contrast agent. T1 represents a wash-in time point for malignant lung tissue at which a first concentration value of the injected contrast agent is substantially equal to or near a peak for injected contrast agent concentration in the region of lung tissue. Patient concentration values of the contrast agent for the area of lung tissue at time points T1 and T2 are obtained, and a malignancy classification for the region of lung tissue is provided by comparing the obtained sample concentration values with a predetermined malignancy profile. A visual representation of the malignancy classification of the region of lung tissue is outputted.
    Type: Application
    Filed: April 21, 2011
    Publication date: October 6, 2011
    Applicant: Yeda Research & Development Co. Ltd. at the Weizmann Institute of Science
    Inventors: Hadassa Degani, Edna Haran
  • Lung cancer diagnosis using magnetic resonance imaging data obtained at three time points
    Patent number: 7949164
    Abstract: A malignancy classification method and medium for diagnosing a region of lung tissue based on MRI data are disclosed. The classifying includes: setting time points T1 and T2 measured from injection of a contrast agent. T1 represents a wash-in time point for malignant lung tissue at which a first concentration value of the injected contrast agent is substantially equal to or near a peak for injected contrast agent concentration in the region of lung tissue. Patient concentration values of the contrast agent for the area of lung tissue at time points T1 and T2 are obtained, and a malignancy classification for the region of lung tissue is provided by comparing the obtained sample concentration values with a predetermined malignancy profile. A visual representation of the malignancy classification of the region of lung tissue is outputted.
    Type: Grant
    Filed: April 28, 2005
    Date of Patent: May 24, 2011
    Assignee: Yeda Research & Development Co. Ltd.
    Inventors: Hadassa Degani, Edna Haran
  • Lung Cancer Diagnosis Using Magnetic Resonance Imaging Data Obtained at Three Time Points
    Publication number: 20080187200
    Abstract: A malignancy classification method and medium for diagnosing a region of lung tissue based on MRI data are disclosed. The classifying includes: setting time points T1 and T2 measured from injection of a contrast agent. T1 represents a wash-in time point for malignant lung tissue at which a first concentration value of the injected contrast agent is substantially equal to or near a peak for injected contrast agent concentration in the region of lung tissue. Patient concentration values of the contrast agent for the area of lung tissue at time points T1 and T2 are obtained, and a malignancy classification for the region of lung tissue is provided by comparing the obtained sample concentration values with a predetermined malignancy profile. A visual representation of the malignancy classification of the region of lung tissue is outputted.
    Type: Application
    Filed: April 28, 2005
    Publication date: August 7, 2008
    Applicant: Yeda Research & Development CO., LTD.
    Inventors: Hadassa Degani, Edna Haran