|Technical Objective||Success indicator|
|TO1. Homodel data structure. Definition of a standard 3D data structured that enables statistical analysis of
databases of the two sectors: healthcare and consumer goods.
|>= 50K homologous points. Propose an extension for DICOM standard for 3D body models and derived annotation
|TO2. Process for obtaining Homodels from raw 3D medical images.||The software must enable the treatment in at least 3 different scanning technologies: CT, MRI, PET or X-Ray.|
|TO3. Process for obtaining Homodels from 3D body-surface scanners||The software must enable the treatment in at least 3 different scanning technologies: laser, depth sensors and
|TO4. Services optimising multivariate shape analysis of Homodels. Existing algorithms for mesh deformation and
principal component analysis (PCA) must be optimized for big data sets.
|Ability to analyse huge hospital data sets: 200 Terabytes-|
|TO5. Services to visualize aggregated 3D data||Questionnaires are made during the demonstration pilots (WP5) in order to measure the opinion of the professionals
from the healthcare sector and good consumers sector. The objective is 90% approval.
|TO6. Processes for secure exchange of 3D data between different partners||Possibility to send the distributed 3D data queries to different partners and get an aggregated answer.|