Description du projet
Générer des modèles 3D d’organes
Le projet ROG, financé par l’UE, apporte un soutien à la société italienne MTM S.r.l pour le développement d’une plateforme comprenant un algorithme qui capture des images 2D et les convertit en formes 3D afin de générer des modèles d’organes réalistes. Cette plateforme pourrait être utilisée dans des applications de réalité virtuelle et d’impression 3D, permettant une approche de formation médicale avancée, et servir à simuler les conditions réelles des patients lors d’un essai préopératoire dans un environnement médical. À l’avenir, cette plateforme aidera à reconnaître les anomalies, marquer les mutations et les aberrations morphologiques, et permettre une approche nouvelle en matière de formation des spécialistes pendant la préparation critique à la chirurgie. La phase actuelle du projet est consacrée à l’élaboration d’un modèle commercial détaillé.
Objectif
MTM S.r.l has developed a game-changing platform comprising 1) an algorithm able capture 2D images and convert them into 3D geometries ( we have already validated our solution on Cardiac Imaging), in order to generate hyper realistic ( more than 10X resolution respect of the best 3D medical imaging today present in the market) models/mockups, ready to be used in VR and 3D printing allowing an unprecedent medical training approach, as well as a simulation of real patients’ condition on which perform pre-operative simulation in healthcare environment; 2) a sophisticated software able to manage multiple actions: such as loading 2D image parts produced by medical scanning devices (organs and tissues), generating 3D models from 2D images elaborated by our algorithm, enable the user (thanks to our intuitive GUI – Graphical User Interface) to visualise the 3D model, (choosing from different views, differentiate surfaces, anatomical sections, layers, regions of interests), recognising anomalies, tagging the mutations and the morphology aberrations, supporting and collecting extensive libraries of 2D images and 3D models, enabling an unprecedent new way to train students and surgeons during critical preparation to surgery.
ROG’s business model. We already mapped our value chain and plan each phase of our path to exploitation. Our revenue model will be a combination based on: ROG software platform licensing and sales from personalized processing of 3D image services (The specialized paid services will instead involve the personalized processing of 3D images, the tagging performed by semi-automated expert systems and the possibility of having training sessions on the platform).
As a result of the maturation strategy and the higher potential value of our system, we will see growth in revenues and profits that will enable us to increase our headcount to 12 by 2026 with a raw return on investment (RoI) of 2.29%.
Champ scientifique
- natural sciencescomputer and information sciencessoftware
- social scienceseconomics and businessbusiness and managementbusiness models
- natural sciencescomputer and information sciencesartificial intelligenceexpert systems
- engineering and technologymechanical engineeringmanufacturing engineeringadditive manufacturing
- engineering and technologymedical engineeringdiagnostic imaging
Programme(s)
Régime de financement
SME-1 - SME instrument phase 1Coordinateur
20158 MILANO
Italie
L’entreprise s’est définie comme une PME (petite et moyenne entreprise) au moment de la signature de la convention de subvention.