Project detail

ASTONISH - Advancing Smart Optical Imaging and Sensing for Health

Duration: 01.06.2016 — 31.05.2019

Funding resources

Ministerstvo školství, mládeže a tělovýchovy ČR - Společná technologická iniciativa ECSEL

- whole funder (2016-11-09 - 2019-05-31)
Evropská unie - Horizon 2020

- whole funder (2016-06-01 - 2019-05-31)

On the project

The ageing population and related increase in chronic diseases put considerable pressure on both the healthcare system and the society, resulting in an unsustainable rise of healthcare costs. As a result there is an urgent need to improve efficiency of care and reduce hospitalisation time in order to control cost and increase quality of life. Addressing this need, medical applications need to become less invasive and improve disease detection, diagnosis and treatment using advanced imaging and sensing techniques. ASTONISH will deliver breakthrough imaging and sensing technologies for monitoring, diagnosis and treatment applications by developing smart optical imaging technology that extends the use of minimally invasive diagnosis and treatment and allows for unobtrusive health monitoring. The project will integrate miniaturized optical components, data processing units and SW applications into smart imaging systems that are less obtrusive, cheaper, more reliable and easier to use than state of the art systems. This results into 6 demonstrators by which the technologies will be validated and which allow for pre- clinical testing in the scope of the project. The overall concept within ASTONISH builds on the development and application of common imaging/sensing technologies. Smart algorithms, multimodal fusion techniques and biomedical signal processing will process the acquired data and advanced user interfaces will simplify the complex clinical tasks. These technology components will be integrated to build application specific solutions for physiological signs monitoring, tumour detection, minimally invasive surgery, brain function monitoring and rehabilitation. The ASTONISH partners cover the full value chain, from semiconductor manufacturing to clinical centres testing the final application. The proposed innovations improve the global competitiveness of the European industry in the healthcare domain.

Keywords
Optical imaging, Near Infra Red, Unoptrusive health monitoring, Minimally invasive diagnosis, Multi modal signal acquisition

Mark

8A16003

Default language

English

People responsible

Burian František, Ing., Ph.D. - fellow researcher
Fujcik Lukáš, doc. Ing., Ph.D. - fellow researcher
Gablech Imrich, Ing., Ph.D. - fellow researcher
Horák Karel, Ing., Ph.D. - fellow researcher
Hubálek Jaromír, prof. Ing., Ph.D. - fellow researcher
Chromý Adam, Ing., Ph.D. - fellow researcher
Kalvodová Petra, Ing., Ph.D. - fellow researcher
Kledrowetz Vilém, doc. Ing., Ph.D. - fellow researcher
Kopečný Lukáš, Ing., Ph.D. - fellow researcher
Kuljovská Lucie, Mgr. - fellow researcher
Neužil Pavel, prof. Ing., Dr., DSc. - fellow researcher
Pecová Jana, MUDr. - fellow researcher
Pekárek Jan, doc. Ing., Ph.D. - fellow researcher
Prokop Roman, Ing., Ph.D. - fellow researcher
Svatoš Vojtěch, Ing. - fellow researcher
Václavek Pavel, prof. Ing., Ph.D. - fellow researcher
Žalud Luděk, prof. Ing., Ph.D. - principal person responsible

Units

Central European Institute of Technology BUT
- responsible department (2016-09-09 - 2019-12-20)
Cybernetics in Material Science
- beneficiary (2016-06-01 - 2019-05-31)
Smart Nanodevices
- co-beneficiary (2016-06-01 - 2019-05-31)

Results

CHROMÝ, A.; ŽALUD, L. Three-dimensional Thermal Imaging in Medicine. In Proc. of 3DBODY.TECH 2017 - 8th Int. Conf. and Exh. on 3D Body Scanning and Processing Technologies. Montreal: Hometrica Consulting, 2017. p. 232-238. ISBN: 978-3-033-06436-2.
Detail

KALVODOVÁ, P.; ŽALUD, L.; BURIAN, F. Medical Optical Scanning System - Data Fusion Evaluation Method. In 2017 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO). IEEE Computer Society Publications, 2017. p. 78-82. ISBN: 978-1-5090-6536-3.
Detail

KALVODOVÁ, P.; ŽALUD, L. Accuracy Evaluation Method of Multispectral Data Fusion for Robotic Systems. In MODELLING AND SIMULATION FOR AUTONOMOUS SYSTEMS. CHAM: SPRINGER INTERNATIONAL PUBLISHING AG, 2018. p. 237-250. ISBN: 978-3-319-76072-8.
Detail

CHROMÝ, A.; ŽALUD, L. The RoScan Thermal 3D Body Scanning System: Medical Applicability and Benefits for Unobtrusive Sensing and Objective Diagnosis. SENSORS, 2020, vol. 20, no. 22, p. 1-22. ISSN: 1424-8220.
Detail

CHROMÝ, A.; ŽALUD, L.: RoScan; RoScan: The robotic scanning system. CEITEC, Purkynova 123, B1.08. (funkční vzorek)
Detail

Responsibility: Žalud Luděk, prof. Ing., Ph.D.