Patents Assigned to VISIBLE PATIENT
  • Automatic determination method of at least one parameter indicative of the degree or level of functionality of a lung
    Patent number: 12430757
    Abstract: A determination method of at least one parameter indicative of the functionality degree or level of a lung according to the ventilation rate of its cells is provided, on the basis of a volumetric digital medical image of the lung, composed of a voxel cloud. The method includes determining quantitatively and/or delineating a first volume A of the cloud in which spatial density of voxels is between ?950 HU and ?450 HU; and determining quantitatively and/or delineating a second volume B of the cloud in which spatial density of voxels is between ?750 HU and ?450 HU. A third volume C is determined quantitatively and/delineated, in addition or alternatively to volume B, defined as the differential volume (volume A?volume B); and the ratio (volume B/volume A) is computed and/or the ratio (volume C/volume A) is computed.
    Type: Grant
    Filed: April 15, 2021
    Date of Patent: September 30, 2025
    Assignees: VISIBLE PATIENT, LES HOPITAUX UNIVERSITAIRES DE STRASBOURG
    Inventors: Luc Soler, Eric Noll, Pierre Diemunsch
  • Automatic segmentation process of a 3D medical image by several neural networks through structured convolution according to the geometry of the 3D medical image
    Patent number: 11551362
    Abstract: This invention concerns an automatic segmentation method of features, such as anatomical and pathological structures or instruments, which are visible in a 3D medical image of a subject, composed of voxels. Said method being characterised in that it consists in providing a global software means or arrangement combining N different convolutional neural networks or CNNs, with N?2, and having a structured geometry or architecture adapted and comparable to that of the image volume, and in analysing voxels forming said volume of the 3D image according to N different reconstruction axes or planes, each CNN being allocated to the analysis of the voxels belonging to one axis or plane.
    Type: Grant
    Filed: January 10, 2019
    Date of Patent: January 10, 2023
    Assignees: INSTITUT DE RECHERCHE SUR LES CANCERS DE I, VISIBLE PATIENT
    Inventors: Luc Soler, Nicolas Thome, Alexandre Hostettler, Jacques Marescaux
  • Automatic segmentation process of a 3D medical image by one or several neural networks through structured convolution according to the anatomic geometry of the 3D medical image
    Patent number: 11288812
    Abstract: This invention concerns an automatic segmentation method of a medical image making use of a knowledge database containing information about the anatomical and pathological structures or instruments, that can be seen in a 3D medical image of a×b×n dimension, i.e. composed of n different 2D images each of a×b dimension. Said method being characterised in that it mainly comprises three process steps, namely: a first step consisting in extracting from said medical image nine sub-images (1 to 9) of a/2×b/2×n dimensions, i.e.
    Type: Grant
    Filed: January 10, 2019
    Date of Patent: March 29, 2022
    Assignees: INSTITUT DE RECHERCHE SUR LES CANCERS DE I, VISIBLE PATIENT
    Inventors: Luc Soler, Nicolas Thome, Alexandre Hostettler, Jacques Marescaux