Skip to main content

A Clinical Decision Support system based on Quantitative multimodal brain MRI for personalized treatment in neurological and psychiatric disorders

Objective

A large number of neurological and psychiatric disorders lack objective criteria for primary diagnoses, early differential diagnosis with regard to subtypes in treatment response and disease progression or effective therapy monitoring resulting in a tremendous negative socio-economic impact. Scientific studies based on advanced MRI methods indicate that related patients show specific subtle changes in multiple MRI readouts that are only detectable by quantitative approaches. Existing tools for MRI data analysis are largely insufficient to maximise the use of advanced modality based, diverse and complex MRI data with deficiencies existing mainly in interoperability as well as data organisation, integration, analysis and exploitation in clinical decision making.
Hence, the development of a clinical decision support system for neurological and psychiatric disorders is envisioned that is based on multimodal quantitative magnetic resonance imaging, advanced feature extraction and multi-parametric classification. To that the quantitative analysis of structural, functional and metabolic MRI data (11 modalities) shall be fully integrated into a single software framework for the first time; support of large data, interoperability and access for non-expert users shall be enabled and a machine learning based classification module shall be developed. The quantification and feature extraction algorithms for metabolic, perfusion, diffusion and functional imaging shall be enhanced to access the full information content of the data independent of vendor specific scan protocols as required for future use in diagnostics, stratification and monitoring of patients. The envisioned clinical decision support system shall be tested, optimized and demonstrated for major depression and multiple sclerosis, but can be extended to additional disorders by enabling large scale clinical trials and more widespread use in neuroscience as a basis for the future clinical decision making.

Call for proposal

H2020-PHC-2014-2015

See other projects for this call

Sub call

H2020-PHC-2014-two-stage

Coordinator

MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Net EU contribution
€ 636 250,00
Address
Hofgartenstrasse 8
80539 Munchen
Germany

See on map

Region
Bayern Oberbayern München, Kreisfreie Stadt
Activity type
Research Organisations
Other funding
€ 0,00

Participants (6)

EBERHARD KARLS UNIVERSITAET TUEBINGEN
Germany
Net EU contribution
€ 351 250,00
Address
Geschwister-scholl-platz
72074 Tuebingen

See on map

Region
Baden-Württemberg Tübingen Tübingen, Landkreis
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00
EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Switzerland
Net EU contribution
€ 0,00
Address
Raemistrasse 101
8092 Zuerich

See on map

Region
Schweiz/Suisse/Svizzera Zürich Zürich
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00
ACADEMISCH ZIEKENHUIS LEIDEN
Netherlands
Net EU contribution
€ 345 000,00
Address
Albinusdreef 2
2333 ZA Leiden

See on map

Region
West-Nederland Zuid-Holland Agglomeratie Leiden en Bollenstreek
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00
UNIVERSITY COLLEGE LONDON
United Kingdom
Net EU contribution
€ 566 250,00
Address
Gower Street
WC1E 6BT London

See on map

Region
London Inner London — West Camden and City of London
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00
CHARITE - UNIVERSITAETSMEDIZIN BERLIN
Germany
Net EU contribution
€ 269 375,00
Address
Chariteplatz 1
10117 Berlin

See on map

Region
Berlin Berlin Berlin
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00
GYROTOOLS GMBH

Participation ended

Switzerland
Net EU contribution
€ 0,00
Address
Waldstrasse 4
8400 Winterthur
SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Other funding
€ 0,00