Patents by Inventor Marcela Hernández Hoyos

Marcela Hernández Hoyos 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: 10007985
    Abstract: A computer-based method is herein disclosed, allowing to differentiate automatically between two tissues of interest: an extrinsic and an intrinsic tissue, from a plurality of images, obtaining a quantitative assessment of each of said tissues without requiring the intervention of an expert. Said method involves the definition of a differentiation region in images obtained from a medical imaging acquisition device using a parametric contour, after which differentiation and quantification are carried out based on the photometric characteristics of the different tissues observed in images, evaluating the local neighborhood of each voxel belonging to the differentiation region previously defined in the plurality of images. The disclosed method increases to a great extent precision in differentiation and quantification of tissues, while the shown percentage error is considered tolerable for diagnostic purposes.
    Type: Grant
    Filed: November 14, 2016
    Date of Patent: June 26, 2018
    Assignees: Universidad de los Andes, Hospital Universitario San Ignacio, Hospices Civils de Lyons
    Inventors: Ricardo Antonio Mendoza Leon, Luis Felipe Uriza Carrasco, Phillipe Charles Douek, Marcela Hernández Hoyos
  • Publication number: 20170091935
    Abstract: A computer-based method is herein disclosed, allowing to differentiate automatically between two tissues of interest: an extrinsic and an intrinsic tissue, from a plurality of images, obtaining a quantitative assessment of each of said tissues without requiring the intervention of an expert. Said method involves the definition of a differentiation region in images obtained from a medical imaging acquisition device using a parametric contour, after which differentiation and quantification are carried out based on the photometric characteristics of the different tissues observed in images, evaluating the local neighborhood of each voxel belonging to the differentiation region previously defined in the plurality of images. The disclosed method increases to a great extent precision in differentiation and quantification of tissues, while the shown percentage error is considered tolerable for diagnostic purposes.
    Type: Application
    Filed: November 14, 2016
    Publication date: March 30, 2017
    Inventors: Ricardo Antonio Mendoza Leon, Luis Felipe Uriza Carrasco, Phillipe Charles Douek, Marcela Hernández Hoyos