Project description DEENESFRITPL MRI-based framework improves diagnosis of neurological disorders Magnetic resonance imaging (MRI) is the standard imaging method for the diagnosis and monitoring of many neurological diseases such as multiple sclerosis. However, its application in clinical practice is primarily limited to visually identifying major tissue abnormalities, rather than subtle ones. The key objective of the EU-funded CDS-QUAMRI project is to develop a clinical decision support system that harnesses the power of MRI in the diagnosis of neurological and psychiatric disorders, which often lacks objective criteria. The consortium will integrate different MRI modalities and machine-learning into a single framework. The system will initially focus on major depression and multiple sclerosis, with a view to serving as a foundation for future clinical decision-making in neuroscience. Show the project objective Hide the project objective 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. Fields of science medical and health sciencesclinical medicinepsychiatryobsessive-compulsive disordermedical and health sciencesclinical medicinepsychiatryposttraumatic stress disordermedical and health sciencesbasic medicineneurologymultiple sclerosisengineering and technologymedical engineeringdiagnostic imagingmagnetic resonance imagingmedical and health sciencesclinical medicinepsychiatryschizophrenia Programme(s) H2020-EU.3.1. - SOCIETAL CHALLENGES - Health, demographic change and well-being Main Programme H2020-EU.3.1.6. - Health care provision and integrated care Topic(s) PHC-32-2014 - Advancing bioinformatics to meet biomedical and clinical needs Call for proposal H2020-PHC-2014-2015 See other projects for this call Sub call H2020-PHC-2014-two-stage Funding Scheme RIA - Research and Innovation action 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 Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 Participants (6) Sort alphabetically Sort by Net EU contribution Expand all Collapse all 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 Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window 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 Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window 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 Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window 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 Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window 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 Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 GYROTOOLS GMBH Participation ended Switzerland Net EU contribution € 0,00 Address Waldstrasse 4 8400 Winterthur See on map 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) Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00