Patents by Inventor Elena ARRONDO MURILLO

Elena ARRONDO MURILLO 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: 11357400
    Abstract: The method comprises storing a set of images captured of the anterior chamber of various eyes, and using a processor for: a) processing some of said stored images by implementing an homogenization process that adjusts an horizontal and a vertical spatial resolution of each image of the set to be the same, and a centering and aligning process that computes statistical properties of the images, and uses said computed statistical properties to compute a centroid and a covariance matrix of each image; b) performing pair-wise distance measures between images of said processed images providing a pair-wise distance matrix; c) analyzing said pair-wise distance matrix by executing a nonlinear dimensionality reduction algorithm that assigns a point in an n-dimensional space associated to each analyzed image; and d) outputting the results of said analysis in a visual way enabling being usable to detect if said eyes suffer from glaucoma.
    Type: Grant
    Filed: December 11, 2017
    Date of Patent: June 14, 2022
    Inventors: Pablo Amil Marletti, Cristina Masoller, Elena Arrondo Murillo, Ulrich Parlitz, Cecilia Salinas Almela
  • Publication number: 20200305706
    Abstract: The method comprises storing a set of images captured of the anterior chamber of various eyes, and using a processor for: a) processing some of said stored images by implementing an homogenization process that adjusts an horizontal and a vertical spatial resolution of each image of the set to be the same, and a centering and aligning process that computes statistical properties of the images, and uses said computed statistical properties to compute a centroid and a covariance matrix of each image; b) performing pair-wise distance measures between images of said processed images providing a pair-wise distance matrix; c) analyzing said pair-wise distance matrix by executing a nonlinear dimensionality reduction algorithm that assigns a point in an n-dimensional space associated to each analyzed image; and d) outputting the results of said analysis in a visual way enabling being usable to detect if said eyes suffer from glaucoma.
    Type: Application
    Filed: December 11, 2017
    Publication date: October 1, 2020
    Applicants: UNIVERSITAT POLITECNICA DE CATALUNYA, MAX-PLANCK-GESELLSCHAFT ZUR FĂ–RDERUNG
    Inventors: Pablo AMIL MARLETTI, Cristina MASOLLER, Elena ARRONDO MURILLO, Ulrich PARLITZ, Cecilia SALINAS ALMELA