Karl Storz-gmbh & Co. Kg

Visible Patient

Institut De Recherche Sur Les Cancers De I

Imedex

Institut Hospitalo-universitaire De Chirurgie Mini-invasive Guidée Par L'image

Institut De Recherche Sur Les Cancers De L'appareil Digestif (ircad)

Institut De Recheche Sur Les Cancers De L'appareil Digestif—ircad

Institut De Recherche Sur Les Cancers De L'appareil Digestif—ircad (association Regie Par Les Articles 21 a 79 Du Code Civil Et Local Et Inscrite Au Registre Des Associations Du Tribunal D'instance De Strasbourg)

Institut De Recherche Sur Les Cancers De L'appareil Degestif (ircad)

Cousin Biotech

Cnam-conservatoire National Des Arts Et Metiers

Jacques Marescaux

Luc Soler

Alexandre Hostettler

Uwe Bacher

Klaus M Irion

Bernard Dallemagne

Sabine Summerer

Silvana Perretta

Stephane Nicolau

Nicolas Thome

Clément Forest

Jean-Louis Tayot

Michel A Tardy

Gilles Solecki

Henri Dumas

Joël Leroy

Valéry Dalle

Anant Suraj Vemuri

Stéphane Nicolau

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.

Automatic segmentation process of a 3D medical image by several neural networks through structured convolution according to the geometry of the 3D medical image

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&#xd7;b&#xd7;n dimension, i.e. composed of n different 2D images each of a&#xd7;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 (to) of a/2&#xd7;b/2&#xd7;n dimensions, i.e. nine partially overlapping a/2&#xd7;b/2 sub-images from each 2D image; a second step consisting in nine convolutional neural networks (CNNs) analysing and segmenting each one of these nine sub-images (to) of each 2D image; a third step consisting in combining the results of the nine analyses and segmentations of the n different 2D images, and therefore of the nine segmented sub-images with a/2&#xd7;b/2&#xd7;n dimensions, into a single image with a&#xd7;b&#xd7;n dimension, corresponding to a single segmentation of the initial medical image.

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

A method and a system for anatomical site relocalisation using dual data synchronisation. Method for repositioning, possibly several times, at a specific location, which has been already explored during a first or 'reference exploration', a flexible endoscope during one or more successive endoluminal or extraluminal subsequent or 'new exploration', or similar procedures, wherein the repositioning is realized either manually, by a human user, or automatically, by a robotic system, from or by way of a synchronisation process between a &#x201c;new exploration&#x201d; flexible endoscope video and the &#x201c;reference exploration&#x201d; flexible endoscope video displayed in parallel on or in two different windows, on one or more screens.

Anatomical site relocalisation using dual data synchronisation

An automatic process of predictive determination of the position and movements of the skin of a subject in a zone of interest, with the subject breathing freely or in an assisted manner, includes preliminarily acquiring multiple configurations of the skin profile in axial planes, at given successive times, in different respiratory positions, and for each axial plane, constructing at least one deformable digital model starting from different skin profiles, then noting, in a repetitive manner, the actual position of a point on the skin at the level of each axial plane, whose position is significantly modified during inhalation and exhalation phases, and providing, essentially in real time, a simulation of the skin profile in each axial plane, as a function of the actual position noted, and an evolving three-dimensional representation of the skin at the level of the zone of interest, by interpolation between the different axial planes.

Automatic method of predictive determination of the position of the skin

The invention relates to a method for the simulation or digital synthesis of echographic images, characterised by the direct transformation in real time, or quasi real time, of the information contained in a 3D scanographic (or tomodensitometric) medical or veterinary image, without delimitation or segmentation of the bodies or structures contained in the volume of scanographic data, according to at least one two-dimensional observation window which can be modified in real time, or quasi real time, in terms of the dimension, position, directions and orientation thereof, the characteristics thereof depending on the type of virtual echographic probe determined, and reproducing all of the attenuation, reflection, refraction and dispersion effects, and the regulation effects of a real echographic image, each echographic image supplied cumulating the results of the simulations of the pre-cited effects.

Process and system for simulation or digital synthesis of sonographic images

The invention relates to a method for the simulation or digital synthesis of echographic images, characterized by the direct transformation in real time, or quasi real time, of the information contained in an IRM-type medical or veterinary image, without delimitation or segmentation of the bodies or structures contained in the volume of data of the IRM image, according to at least one two-dimensional observation window which can be modified in real time, or quasi real time, in terms of the dimension, position, direction and orientation thereof, the characteristics thereof depending on the type of virtual echographic probe determined, and reproducing all of the attenuation, reflection, refraction and dispersion effects, and the regulation effects of a real echographic image, each echographic image supplied cumulating the results of the simulations of the pre-cited effects.

Handgrip for medical device

A patch for visceral surgery is made from a biomaterial consisting of two layers of collagen superimposed and closely combined, namely a porous adhesive layer of fibrous collagen and a film of collagen and/or gelatin.

Visceral surgery patch

Growing community of inventors

Scharrachbergheim, France

Jacques Marescaux