Patents by Inventor R. Martin Arthur

R. Martin Arthur 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).

  • Physically-based, probabilistic model for ultrasonic images incorporating shape, microstructure and system characteristics
    Patent number: 7242793
    Abstract: The present invention is a method and apparatus that creates a physical model of image formation and performs a random phasor sum representation of the physical model to create the probabilistic model. The physical model incorporates imaging system characteristics, gross shape and microstructure. The phasor sum representation results from a linear model of the imaging system characteristics as characterized by a point spread function. Tissue microstructure is characterized by multiple discrete scatterers distributed across a surface of the gross shape. Each discrete scatterer contributes a phasor to the phasor sum representation. The image model is formed using image pixel-based statistics. Amplitude mean, amplitude variance and a ratio of amplitude mean to standard deviation is computed at each image pixel. Based on the computations, each pixel is classified as Rayleigh or Gaussian and assigned a density function. A data likelihood is constructed as a product of the assigned density functions.
    Type: Grant
    Filed: April 23, 2001
    Date of Patent: July 10, 2007
    Assignee: Washington University
    Inventors: Jason W. Trobaugh, R. Martin Arthur
  • Physically-based, probabilistic model for ultrasonic images incorporating shape, microstructure and system characteristics
    Publication number: 20020075383
    Abstract: The present invention is a method and apparatus that creates a physical model of image formation and performs a random phasor sum representation of the physical model to create the probabilistic model. The physical model incorporates imaging system characteristics, gross shape and microstructure. The phasor sum representation results from a linear model of the imaging system characteristics as characterized by a point spread function. Tissue microstructure is characterized by multiple discrete scatterers distributed across a surface of the gross shape. Each discrete scatterer contributes a phasor to the phasor sum representation. The image model is formed using image pixel-based statistics. Amplitude mean, amplitude variance and a ratio of amplitude mean to standard deviation is computed at each image pixel. Based on the computations, each pixel is classified as Rayleigh or Gaussian and assigned a density function. A data likelihood is constructed as a product of the assigned density functions.
    Type: Application
    Filed: April 23, 2001
    Publication date: June 20, 2002
    Inventors: Jason W. Trobaugh, R. Martin Arthur