Patents by Inventor Sara Joao Botelho de Carvalho

Sara Joao Botelho de Carvalho 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).

  • Image analysis method supporting illness development prediction for a neoplasm in a human or animal body
    Patent number: 10311571
    Abstract: The present invention relates to an image analysis method for providing information for supporting illness development prediction regarding a neoplasm in a human or animal body. The method includes receiving for the neoplasm first and second image data at a first and second moment in time, and deriving for a plurality of image features a first and a second image feature parameter value from the first and second image data. These feature parameter values being a quantitative representation of a respective image feature. Further, calculating an image feature difference value by calculating a difference between the first and second image feature parameter value, and based on a prediction model deriving a predictive value associated with the neoplasm for supporting treatment thereof. The prediction model includes a plurality of multiplier values associated with image features.
    Type: Grant
    Filed: October 17, 2014
    Date of Patent: June 4, 2019
    Assignee: Stichting Maastricht Radiation Oncology “Maastro-Clinic”
    Inventors: Philippe Lambin, Sara Joao Botelho de Carvalho, Ralph Theodoor Hubertina Leijenaar
  • IMAGE ANALYSIS METHOD SUPPORTING ILLNESS DEVELOPMENT PREDICTION FOR A NEOPLASM IN A HUMAN OR ANIMAL BODY
    Publication number: 20170236283
    Abstract: The present invention relates to an image analysis method for providing information for supporting illness development prediction regarding a neoplasm in a human or animal body. The method includes receiving for the neoplasm first and second image data at a first and second moment in time, and deriving for a plurality of image features a first and a second image feature parameter value from the first and second image data. These feature parameter values being a quantitative representation of a respective image feature. Further, calculating an image feature difference value by calculating a difference between the first and second image feature parameter value, and based on a prediction model deriving a predictive value associated with the neoplasm for supporting treatment thereof. The prediction model includes a plurality of multiplier values associated with image features.
    Type: Application
    Filed: October 17, 2014
    Publication date: August 17, 2017
    Inventors: Philippe Lambin, Sara Joao Botelho de Carvalho, Ralph Theodoor Hubertina Leijenaar