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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.

Field of science

  • /natural sciences/chemical sciences/analytical chemistry/quantitative analysis
  • /natural sciences/computer and information sciences/data science/data analysis
  • /medical and health sciences/clinical medicine/psychiatry/schizophrenia
  • /medical and health sciences/clinical medicine/psychiatry/posttraumatic stress disorder
  • /natural sciences/computer and information sciences/software/software development
  • /engineering and technology/medical engineering/diagnostic imaging/magnetic resonance imaging
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning
  • /medical and health sciences/clinical medicine/psychiatry/obsessive-compulsive disorder
  • /medical and health sciences/basic medicine/neurology/multiple sclerosis
  • /natural sciences/biological sciences/neurobiology

Call for proposal

H2020-PHC-2014-two-stage
See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Coordinator

MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Address
Hofgartenstrasse 8
80539 Muenchen
Germany
Activity type
Research Organisations
EU contribution
€ 636 250

Participants (6)

EBERHARD KARLS UNIVERSITAET TUEBINGEN
Germany
EU contribution
€ 351 250
Address
Geschwister-scholl-platz
72074 Tuebingen
Activity type
Higher or Secondary Education Establishments
EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Switzerland
EU contribution
€ 0
Address
Raemistrasse 101
8092 Zuerich
Activity type
Higher or Secondary Education Establishments
ACADEMISCH ZIEKENHUIS LEIDEN
Netherlands
EU contribution
€ 345 000
Address
Albinusdreef 2
2333 ZA Leiden
Activity type
Higher or Secondary Education Establishments
UNIVERSITY COLLEGE LONDON
United Kingdom
EU contribution
€ 566 250
Address
Gower Street
WC1E 6BT London
Activity type
Higher or Secondary Education Establishments
CHARITE - UNIVERSITAETSMEDIZIN BERLIN
Germany
EU contribution
€ 269 375
Address
Chariteplatz 1
10117 Berlin
Activity type
Higher or Secondary Education Establishments
GYROTOOLS GMBH

Participation ended

Switzerland
EU contribution
€ 0
Address
Waldstrasse 4
8400 Winterthur
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)