Patents by Inventor Manuel F. Casanova

Manuel F. Casanova 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: 11376443
    Abstract: A system and method designed to encourage entrainment of brain waves with a therapeutic wave of a predetermined frequency. The system uses antennae to emit a modulated high frequency carrier signal that carries the therapeutic signal. The system can be utilized in modification of brainwave frequencies in a local or global scale and/or in establishing coherence between different cortical regions. The system can be utilized in treatment of individuals suffering from mental disorders and can be utilized to enhance/improve function in otherwise mentally healthy individuals.
    Type: Grant
    Filed: March 8, 2018
    Date of Patent: July 5, 2022
    Assignee: University of South Carolina
    Inventors: Manuel F. Casanova, Estate M. Sokhadze
  • Patent number: 10262414
    Abstract: Systems, methods, and computer program products for classifying a brain are disclosed. An embodiment method includes processing image data to generate segmented image data of a brain cortex. The method further includes generating a statistical analysis of the brain based on a three dimensional (3D) model of the brain cortex generated from the segmented image data. The method further includes using the statistical analysis to classify the brain cortex and to identify the brain as being associated with a particular neurological condition. According to a further embodiment, generating the 3D model of the brain further includes registering a 3D volume associated with the model with a corresponding reference volume and generating a 3D mesh associated with the registered 3D volume. The method further includes generating the statistical analysis by analyzing individual mesh nodes of the registered 3D mesh based on a spherical harmonic shape analysis of the 3D model.
    Type: Grant
    Filed: July 29, 2016
    Date of Patent: April 16, 2019
    Assignee: University of Louisville Research Foundation, Inc.
    Inventors: Matthew J. Nitzken, Ayman S. El-Baz, Manuel F. Casanova
  • Publication number: 20180256913
    Abstract: A system and method designed to encourage entrainment of brain waves with a therapeutic wave of a predetermined frequency. The system uses antennae to emit a modulated high frequency carrier signal that carries the therapeutic signal. The system can be utilized in modification of brainwave frequencies in a local or global scale and/or in establishing coherence between different cortical regions. The system can be utilized in treatment of individuals suffering from mental disorders and can be utilized to enhance/improve function in otherwise mentally healthy individuals.
    Type: Application
    Filed: March 8, 2018
    Publication date: September 13, 2018
    Inventors: Manuel F. Casanova, Estate M. Sokhadze
  • Publication number: 20170032520
    Abstract: Systems, methods, and computer program products for classifying a brain are disclosed. An embodiment method includes processing image data to generate segmented image data of a brain cortex. The method further includes generating a statistical analysis of the brain based on a three dimensional (3D) model of the brain cortex generated from the segmented image data. The method further includes using the statistical analysis to classify the brain cortex and to identify the brain as being associated with a particular neurological condition. According to a further embodiment, generating the 3D model of the brain further includes registering a 3D volume associated with the model with a corresponding reference volume and generating a 3D mesh associated with the registered 3D volume. The method further includes generating the statistical analysis by analyzing individual mesh nodes of the registered 3D mesh based on a spherical harmonic shape analysis of the 3D model.
    Type: Application
    Filed: July 29, 2016
    Publication date: February 2, 2017
    Inventors: Matthew J. Nitzken, Ayman S. El-Baz, Manuel F. Casanova
  • Patent number: 9230321
    Abstract: A computer aided diagnostic system and automated method classify a brain through modeling and analyzing the shape of a brain cortex, e.g., to detect a brain cortex that is indicative of a developmental disorder such as ADHD, autism or dyslexia. A model used in such analysis describes the shape of brain cortices in terms of spherical harmonics required to delineate a unit sphere corresponding to the brain cortex to a model of the brain cortex.
    Type: Grant
    Filed: March 15, 2013
    Date of Patent: January 5, 2016
    Assignee: University of Louisville Research Foundation, Inc.
    Inventors: Ayman S. El-Baz, Matthew Nitzken, Manuel F. Casanova
  • Publication number: 20130259346
    Abstract: A computer aided diagnostic system and automated method classify a brain through modeling and analyzing the shape of a brain cortex, e.g., to detect a brain cortex that is indicative of a developmental disorder such as ADHD, autism or dyslexia. A model used in such analysis describes the shape of brain cortices in terms of spherical harmonics required to delineate a unit sphere corresponding to the brain cortex to a model of the brain cortex.
    Type: Application
    Filed: March 15, 2013
    Publication date: October 3, 2013
    Applicant: UNIVERSITY OF LOUISVILLE RESEARCH FOUNDATION, INC.
    Inventors: Ayman S. El-Baz, Matthew Nitzken, Manuel F. Casanova