Patents by Inventor Luis Martí Bonmatí

Luis Martí Bonmatí 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).

  • Method for obtaining an image biomarker that quantifies the quality of the trabecular structure of bones
    Patent number: 11915420
    Abstract: A method is disclosed for obtaining an image biomarker that quantifies the quality of the trabecular structure of bones. The method includes: retrieving high-resolution CT (Computed Tomography) and/or MRI (Magnetic Resonance Imaging) trabecular images from an image database; pre-processing and post-processing the high-resolution CT and/or MRI trabecular images and obtaining the unique image biomarker “QTS”. Pre-processing may include: calculating the region of interest “ROI”; calculating the bone fraction map; eliminating the partial volume effect; and, binarizing. Post-processing may include: skeletonisation and extraction of morphological and structural characteristics. Lastly, the unique image biomarker “QTS” is defined as: QTS=0.7137*Comp1+0.2863*Comp2.
    Type: Grant
    Filed: January 17, 2020
    Date of Patent: February 27, 2024
    Assignees: Fundación para la Investigación del Hospital Universitario La Fe de la Comunidad Valenciana, QUIBIM, S.L., UNIVERSIDAD DE ZARAGOZA
    Inventors: Angel Alberich Bayarri, Fabio García Castro, Amadeo Ten Esteve, Luis Martí Bonmatí, María Ángeles Pérez Ansón
  • METHOD AND SYSTEM FOR THE AUTOMATIC SEGMENTATION OF WHITE MATTER HYPERINTENSITIES IN MAGNETIC RESONANCE BRAIN IMAGES
    Publication number: 20220343142
    Abstract: The present invention relates to a method and a system for the segmentation of white matter hyperintensities (WMHs) present in magnetic resonance brain images, comprising: providing an array of trained convolutional neural networks (CNNs) with a magnetic resonance brain image; determining, for each of the CNNs and for each voxel, the probability that the given voxel corresponds to a pathological hyperintensity; calculating the average of all the probabilities determined for each voxel; comparing the averaged probabilities for each voxel with a threshold; generating an image mask with the voxels that exceed the threshold.
    Type: Application
    Filed: January 30, 2020
    Publication date: October 27, 2022
    Applicant: QUIBIM, S.L.
    Inventors: Ana María JIMÉNEZ PASTOR, Eduardo CAMACHO RAMOS, Fabio GARCÍA CASTRO, Ángel ALBERICH BAYARRI, Josep PUIG ALCÁNTARA, Carles BIARNES DURÁN, Luis MARTÍ BONMATÍ, Salvador PEDRAZA GUTIÉRREZ
  • Method for Obtaining an Image Biomarker That Quantifies the Quality of the Trabecular Structure of Bones
    Publication number: 20220084195
    Abstract: A method is disclosed for obtaining an image biomarker that quantifies the quality of the trabecular structure of bones. The method includes: retrieving high-resolution CT (Computed Tomography) and/or MRI (Magnetic Resonance Imaging) trabecular images from an image database; pre-processing and post-processing the high-resolution CT and/or MRI trabecular images and obtaining the unique image biomarker “QTS”. Pre-processing may include: calculating the region of interest “ROI”; calculating the bone fraction map; eliminating the partial volume effect; and, binarizing. Post-processing may include: skeletonisation and extraction of morphological and structural characteristics. Lastly, the unique image biomarker “QTS” is defined as: QTS=0.7137*Comp1+0.2863*Comp2.
    Type: Application
    Filed: January 17, 2020
    Publication date: March 17, 2022
    Inventors: Angel Alberich Bayarri, Fabio García Castro, Amadeo Ten Esteve, Luis Martí Bonmatí, María Ángeles Pérez Ansón