Project description
Generation of 3D organ models
The EU-funded ROG project provides support to Italian company MTM S.r.l for the development of a platform that includes an algorithm capturing 2D images and converting them into 3D forms in order to generate realistic organ models. This platform could be used in virtual reality applications and 3D printing, enabling an advanced medical training approach, as well as to simulate real patient conditions during a pre-operative trial in the healthcare environment. In the future, this platform will help to recognise anomalies, tagging mutations and morphology aberrations, enabling a novel approach to training specialists during critical preparation for surgery. The current stage of the project is dedicated to the development of a detailed business model.
Objective
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%.
Fields of science
- 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)
Funding Scheme
SME-1 - SME instrument phase 1Coordinator
20158 MILANO
Italy
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.