Periodic Reporting for period 2 - BodyPass (API-ecosystem for cross-sectorial exchange of 3D personal data)
Okres sprawozdawczy: 2019-07-01 do 2020-12-31
BodyPass aims to break barriers between the health sector and the consumer goods sector and eliminate the current data silos. The main objective of BodyPass is to foster exchange, linking and re-use, as well as to integrate 3D data assets from the two sectors. For this, BodyPass has to adapt and create tools that allow a secure exchange of information between data owners, companies and subjects (patients and customers).
3D personal data is a type of data that contains useful information for product design, online sale services, medical research and patient follow-up. Currently, hospitals store and grow massive collections of 3D data that are not accessible by researchers, professionals and companies. About 2.7 petabytes a year stored in the EU26.
In parallel to the advances made in the health sector, new 3D body-surface scanning technology has been developed for the goods consumer sector, namely apparel, animation and art. Moreover, new low-cost scanning technologies are expected to exponentially increase 3D data creation. It is estimated that currently one person is scanned every 15 minutes in the US and Europe. And increasing.
The 3D data of the health sector contains the body shape information, not only internal body information. These data could be used by designers and manufacturers of the consumer goods sector. At the same time, although 3D body-surface scanners have been developed primarily for the clothing industry, 3D scanners’ low cost, non-invasive character, and ease of use make them appealing for widespread clinical applications and large-scale epidemiological surveys.
The overall objectives of BodyPass are:
• Generate tools for extraction of 3D model data from raw 3D scans, and medical imaging data.
• Generate protocols and data models for privacy-preserving and secure exchange of extracted and derived data between different parties enabling data exchange and big data analytics across different silos
3D personal data is a type of data that contains useful information for product design, online sale services, medical research and patient follow-up. Currently, hospitals store and grow massive collections of 3D data that are not accessible by researchers, professionals and companies. About 2.7 petabytes a year stored in the EU26.
In parallel to the advances made in the health sector, new 3D body-surface scanning technology has been developed for the goods consumer sector, namely apparel, animation and art. Moreover, new low-cost scanning technologies are expected to exponentially increase 3D data creation. It is estimated that currently one person is scanned every 15 minutes in the US and Europe. And increasing.
The 3D data of the health sector contains the body shape information, not only internal body information. These data could be used by designers and manufacturers of the consumer goods sector. At the same time, although 3D body-surface scanners have been developed primarily for the clothing industry, 3D scanners’ low cost, non-invasive character, and ease of use make them appealing for widespread clinical applications and large-scale epidemiological surveys.
The overall objectives of BodyPass are:
• Generate tools for extraction of 3D model data from raw 3D scans, and medical imaging data.
• Generate protocols and data models for privacy-preserving and secure exchange of extracted and derived data between different parties enabling data exchange and big data analytics across different silos
The main results obtained are:
- Definition of a new method based on a common parameterisation on a reference mesh so that any partner can conduct a template/model fitting process using its proprietary template and afterwards, compute the mapping between both templates. The method generates random (on-the-fly) templates in order to protect IP rights of the data nodes.
- Establishment of privacy and security restrictions related to the handling of raw 3D data at hospitals and consumer goods. BODYPASS has developed software for data filtering, aggregation and anonymization. This includes the measures for anonymization of the data and legal restriction for delivery that assures data privacy: data averaged over a sufficient number of subjects or applying anonymization procedures over individual scans.
- BODYPASS has developed online services grouped into four types of services: Data curation, Personal data management, Data Retrieval and Data visualisation.
- The BODYPASS services are included in the services catalogue defined inside a private blockchain network (HYPERLDEGER). The first version of the network has been deployed for preliminary tests.
- Put in place a computational cluster and secure access channel in the health sector.
The architecture of the blockchain network and the services connected to the network have been tested in two hospitals and two companies of the apparel sector.
- Definition of a new method based on a common parameterisation on a reference mesh so that any partner can conduct a template/model fitting process using its proprietary template and afterwards, compute the mapping between both templates. The method generates random (on-the-fly) templates in order to protect IP rights of the data nodes.
- Establishment of privacy and security restrictions related to the handling of raw 3D data at hospitals and consumer goods. BODYPASS has developed software for data filtering, aggregation and anonymization. This includes the measures for anonymization of the data and legal restriction for delivery that assures data privacy: data averaged over a sufficient number of subjects or applying anonymization procedures over individual scans.
- BODYPASS has developed online services grouped into four types of services: Data curation, Personal data management, Data Retrieval and Data visualisation.
- The BODYPASS services are included in the services catalogue defined inside a private blockchain network (HYPERLDEGER). The first version of the network has been deployed for preliminary tests.
- Put in place a computational cluster and secure access channel in the health sector.
The architecture of the blockchain network and the services connected to the network have been tested in two hospitals and two companies of the apparel sector.
BODYPASS represents the first time that a project connects two huge markets: consumer goods and healthcare. And the connection is done through a technology that could be considered as a third market with great potential: 3D mapping-modelling market. BODYPASS combines for the first time the huge 3D datasets of the hospitals with the 3D data of body scanners for consumer goods.
Also, this is the first time that blockchain technology is used to foster 3D data exchange in a coherent and auditable framework.
BODYPASS offers:
- Tools to the apparel & non-apparel manufacturing European companies for accessing to huge 3D datasets to improve product design and increase the market of customized products.
- Tools to the stakeholders of the Diagnostic Imaging Market for accessing to huge 3D datasets and generate new diagnosis services.
BODYPASS may have an important social impact in the healthcare sector because it enables the exchange of 3D image information between hospitals, and hospitals with companies that offer services to the consumer goods market. Hospitals will be able to:
- Monetize its databases.
- Combine information obtained with medical devices (MRI, CT, etc.) with low-cost body scanners. This will reduce the necessity of doing several MRI or CT during the patient follow-up.
- Improve diagnostic and intervention processes.
Also, this is the first time that blockchain technology is used to foster 3D data exchange in a coherent and auditable framework.
BODYPASS offers:
- Tools to the apparel & non-apparel manufacturing European companies for accessing to huge 3D datasets to improve product design and increase the market of customized products.
- Tools to the stakeholders of the Diagnostic Imaging Market for accessing to huge 3D datasets and generate new diagnosis services.
BODYPASS may have an important social impact in the healthcare sector because it enables the exchange of 3D image information between hospitals, and hospitals with companies that offer services to the consumer goods market. Hospitals will be able to:
- Monetize its databases.
- Combine information obtained with medical devices (MRI, CT, etc.) with low-cost body scanners. This will reduce the necessity of doing several MRI or CT during the patient follow-up.
- Improve diagnostic and intervention processes.