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1. WO2020065228 - METHOD FOR VALIDATING A DIGITAL MODEL

Publication Number WO/2020/065228
Publication Date 02.04.2020
International Application No. PCT/FR2019/052273
International Filing Date 26.09.2019
IPC
G16H 50/50 2018.01
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
50for simulation or modelling of medical disorders
G16H 30/40 2018.01
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
30ICT specially adapted for the handling or processing of medical images
40for processing medical images, e.g. editing
CPC
G16H 30/40
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
30ICT specially adapted for the handling or processing of medical images
40for processing medical images, e.g. editing
G16H 50/50
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
50for simulation or modelling of medical disorders
Applicants
  • TEXISENSE [FR]/[FR]
Inventors
  • BUCKI, Marek
  • BAILET, Mathieu
Agents
  • SEMAOUNE, Idriss
  • BUCHET, Anne
  • DENJEAN, Eric
  • PALIX, Stéphane
  • VUILLERMOZ, Bruno
Priority Data
185884527.09.2018FR
Publication Language French (FR)
Filing Language French (FR)
Designated States
Title
(EN) METHOD FOR VALIDATING A DIGITAL MODEL
(FR) MÉTHODE DE VALIDATION D'UN MODÈLE NUMÉRIQUE
Abstract
(EN)
The present invention relates to a method (1) for validating a digital model (10) which is biomechanical or physiological, comprising the following successive steps: A) selecting local and internal metrics (20) and defining an error threshold (26); B) acquiring real images (32) of a physical segment (3) and experimental metrics (22), via an imaging system (30); C) constructing the digital model (10) using at least a first real image, referred to as the initialisation image (31), from among the real images (32); D) applying a volume reconstruction method in order to generate virtual images (34) of the physical segment (3) and the associated metrics (24); E) comparing the values of the experimental metrics (22) and the simulated metrics (24) by calculating a non-linear recalibration between real images (32) for reference (33) and virtual images (34) for validation (35); and F) automatically drawing a conclusion with regard to the validity of the digital model (10) by rejecting the digital model (10) if at least one deviation between the values of the experimental metrics (22) and the simulated metrics (24) exceeds the predefined error threshold (26) in terms of magnitude, particularly in predefined regions of interest, or by validating the digital model (10) if no deviation exceeds the predefined error threshold (26) in terms of magnitude.
(FR)
La présente invention concerne une méthode (1) de validation d'un modèle numérique (10) biomécanique ou physiologique, comportant les étapes successives suivantes : A) choisir des métriques (20) locales et internes et définir un seuil d'erreur (26); B) acquérir des images réelles (32) d'un segment corporel (3) et des métriques expérimentales (22), via un système d'imagerie (30); C) construire le modèle numérique (10) en utilisant au moins une première image réelle, dite image d'initialisation (31), parmi les images réelles (32); D) appliquer une méthode de reconstruction volumique pour générer des images virtuelles (34) du segment corporel (3) et les métriques (24) associées; E) comparer les valeurs des métriques expérimentales (22) et des métriques simulées (24), par calcul d'un recalage non-linéaire entre images réelles (32) de référence (33) et images virtuelles (34) de validation (35); et F) conclure automatiquement sur la validité du modèle numérique (10), en rejetant le modèle numérique (10) si au moins un écart entre les valeurs des métriques expérimentales (22) et des métriques simulées (24) dépasse en magnitude le seuil d'erreur (26) prédéfini, notamment dans des régions d'intérêt prédéfinies, ou en validant le modèle numérique (10) si aucun écart ne dépasse en magnitude le seuil d'erreur (26) prédéfini.
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