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

Total Cost €


EC-Contrib. €






 CDS-QUAMRI project word cloud

Explore the words cloud of the CDS-QUAMRI project. It provides you a very rough idea of what is the project "CDS-QUAMRI" about.

depression    classification    indicate    parametric    time    disease    diverse    treatment    tools    differential    extraction    economic    monitoring    software    optimized    organisation    expert    neurological    ing    vendor    patients    diffusion    disorders    extended    criteria    data    detectable    scientific    perfusion    resonance    diagnostics    algorithms    insufficient    demonstrated    module    negative    tested    integration    neuroscience    maximise    clinical    modalities    therapy    first    metabolic    multimodal    machine    multiple    interoperability    sclerosis    socio    deficiencies    additional    hence    stratification    mainly    decision    magnetic    enabled    primary    quantitative    quantification    basis    structural    independent    diagnosis    progression    functional    subtle    learning    protocols    11    psychiatric    enhanced    subtypes    single    mri    scan    regard    tremendous    full    imaging    diagnoses    framework    envisioned    readouts    trials    largely    content    lack    modality   

Project "CDS-QUAMRI" data sheet

The following table provides information about the project.


Organization address
postcode: 80539
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Project website
 Total cost 3˙261˙125 €
 EC max contribution 2˙168˙125 € (66%)
 Programme 1. H2020-EU.3.1.6. (Health care provision and integrated care)
 Code Call H2020-PHC-2014-two-stage
 Funding Scheme RIA
 Starting year 2015
 Duration (year-month-day) from 2015-09-01   to  2020-08-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
2    UNIVERSITY COLLEGE LONDON UK (LONDON) participant 566˙250.00
4    ACADEMISCH ZIEKENHUIS LEIDEN NL (LEIDEN) participant 345˙000.00
7    GYROTOOLS GMBH CH (WINTERTHUR) participant 0.00


 Project 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.


List of deliverables.
Project Communication Initilization Websites, patent fillings, videos etc. 2020-04-01 17:21:11

Take a look to the deliverables list in detail:  detailed list of CDS-QUAMRI deliverables.


year authors and title journal last update
List of publications.
2017 Yuriko Suzuki, Noriyuki Fujima, Tetsuo Ogino, James Alastair Meakin, Akira Suwa, Hiroyuki Sugimori, Marc Van Cauteren, Matthias J. P. van Osch
Acceleration of ASL-based time-resolved MR angiography by acquisition of control and labeled images in the same shot (ACTRESS)
published pages: , ISSN: 0740-3194, DOI: 10.1002/mrm.26667
Magnetic Resonance in Medicine 2020-04-01
2017 Grussu Francesco, Battiston Marco, Prados Ferran, Schneider Torben, Kaden Enrico, Ourselin Sébastien, Samson Rebecca, Alexander Daniel, Gandini Wheeler-Kingshott Claudia
A Unified Signal Readout for Reproducible Multimodal Characterisation of Brain Microstructure
published pages: 3399, ISSN: , DOI:
Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM). 2017 2020-04-01
2017 Suzuki, Y., van Osch, M. J.P. and Okell, TW.
Improved Spatial encoding of vessel-selective pCASL: improving efficiency, minimising mislabelling, and shortening scan-time for artery specific MRA.
published pages: 3617, ISSN: , DOI:
Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM). 2017 2020-04-01
2017 Zhensen Chen, Xingxing Zhang, Chun Yuan, Xihai Zhao, Matthias J.P. van Osch
Measuring the labeling efficiency of pseudocontinuous arterial spin labeling
published pages: 1841-1852, ISSN: 0740-3194, DOI: 10.1002/mrm.26266
Magnetic Resonance in Medicine 77/5 2020-04-01
2016 Enrico Kaden, Frithjof Kruggel, Daniel C. Alexander
Quantitative mapping of the per-axon diffusion coefficients in brain white matter
published pages: 1752-1763, ISSN: 0740-3194, DOI: 10.1002/mrm.25734
Magnetic Resonance in Medicine 75/4 2020-04-01
2017 Venkateshwaran Murali Manohar Saipavitra, Giapitzakis Ioannis Angelos, Borbáth Tamás, Gärtner Matti, Henning Anke
Qualitative Comparison between In Vivo J-Resolved Semi-LASER at 3 T and 9.4 T.
published pages: 3015, ISSN: , DOI:
Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM). 2017 2020-04-01
2017 Borbáth Tamás, Giapitzakis Ioannis Angelos, Venkateshwaran Murali Manohar Saipavitra, Henning Anke
Fitting comparison for 9.4T 1D semi-LASER and 2D-J-resolved semi-LASER data.
published pages: 2995, ISSN: , DOI:
Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM). 2017 2020-04-01
2016 Gabriele Lohmann, Johannes Stelzer, Verena Zuber, Tilo Buschmann, Daniel Margulies, Andreas Bartels, Klaus Scheffler
Task-Related Edge Density (TED)—A New Method for Revealing Dynamic Network Formation in fMRI Data of the Human Brain
published pages: e0158185, ISSN: 1932-6203, DOI: 10.1371/journal.pone.0158185
PLOS ONE 11/6 2020-04-01
2017 Suzuki, Y., Okell, TW., Teeuwisse, WM., Schmid, S., van der Plas, M., Chappell, MA., and van Osch, M. J.P.
Silving the dark-side of multiband-ASL: A framework to correct for increased motion artefacts in MB-ASL due to sharp transitions in the level of background suppression.
published pages: 3616, ISSN: , DOI:
Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM). 2017 2020-04-01
2016 Francesco Grussu, Torben Schneider, Richard L. Yates, Hui Zhang, Claudia A.M. Gandini Wheeler-Kingshott, Gabriele C. DeLuca, Daniel C. Alexander
A framework for optimal whole-sample histological quantification of neurite orientation dispersion in the human spinal cord
published pages: 20-32, ISSN: 0165-0270, DOI: 10.1016/j.jneumeth.2016.08.002
Journal of Neuroscience Methods 273 2020-04-01
2017 Grussu Francesco, Ianus Andrada, Tur Carmen, Prados Ferran, Schneider Torben, Ourselin Sébastien, Drobnjak Ivana, Zhang Hui, Alexander Daniel, Gandini Wheeler-Kingshott Claudia
Origin of the Time Dependence of the Diffusion-Weighted Signal in Spinal Cord White Matter.
published pages: 843, ISSN: , DOI:
Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM). 2017 2020-04-01
2016 Enrico Kaden, Nathaniel D. Kelm, Robert P. Carson, Mark D. Does, Daniel C. Alexander
Multi-compartment microscopic diffusion imaging
published pages: 346-359, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2016.06.002
NeuroImage 139 2020-04-01
2017 Foley Cara, Kaden Enrico, Seunarine Kiran, Hall Matt, Carmichael David, Clayden Jonathan, Clark Chris
Reproducibility of SMT-Based Microscopic Diffusion Anisotropy Imaging on a Clinical MRI System
published pages: 3471, ISSN: , DOI:
Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM). 2017 2020-04-01
2018 Matti Gärtner, M. Elisabetta Ghisu, Milan Scheidegger, Luisa Bönke, Yan Fan, Anna Stippl, Ana-Lucia Herrera-Melendez, Sophie Metz, Emilia Winnebeck, Maria Fissler, Anke Henning, Malek Bajbouj, Karsten Borgwardt, Thorsten Barnhofer, Simone Grimm
Aberrant working memory processing in major depression: evidence from multivoxel pattern classification
published pages: 1972-1979, ISSN: 0893-133X, DOI: 10.1038/s41386-018-0081-1
Neuropsychopharmacology 43/9 2020-04-01
2018 Yuriko Suzuki, Michael Helle, Peter Koken, Marc Van Cauteren, Matthias J. P. van Osch
Simultaneous acquisition of perfusion image and dynamic MR angiography using time-encoded pseudo-continuous ASL
published pages: 2676-2684, ISSN: 0740-3194, DOI: 10.1002/mrm.26926
Magnetic Resonance in Medicine 79/5 2020-04-01
2017 Matthias JP van Osch, Wouter M Teeuwisse, Zhensen Chen, Yuriko Suzuki, Michael Helle, Sophie Schmid
Advances in arterial spin labelling MRI methods for measuring perfusion and collateral flow
published pages: 1461-1480, ISSN: 0271-678X, DOI: 10.1177/0271678X17713434
Journal of Cerebral Blood Flow & Metabolism 38/9 2020-04-01
2018 Yuriko Suzuki, Thomas W. Okell, Michael A. Chappell, Matthias J.P. van Osch
A framework for motion correction of background suppressed arterial spin labeling perfusion images acquired with simultaneous multi-slice EPI
published pages: , ISSN: 0740-3194, DOI: 10.1002/mrm.27499
Magnetic Resonance in Medicine 2020-04-01
2018 Gabriele Lohmann, Johannes Stelzer, Eric Lacosse, Vinod J. Kumar, Karsten Mueller, Esther Kuehn, Wolfgang Grodd, Klaus Scheffler
LISA improves statistical analysis for fMRI
published pages: , ISSN: 2041-1723, DOI: 10.1038/s41467-018-06304-z
Nature Communications 9/1 2020-04-01
2018 Sahar Nassirpour, Paul Chang, Anke Henning
MultiNet PyGRAPPA: Multiple neural networks for reconstructing variable density GRAPPA (a 1H FID MRSI study)
published pages: 336-345, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2018.08.032
NeuroImage 183 2020-04-01
2018 Sahar Nassirpour, Paul Chang, Nikolai Avdievitch, Anke Henning
Compressed sensing for high-resolution nonlipid suppressed 1 H FID MRSI of the human brain at 9.4T
published pages: 2311-2325, ISSN: 0740-3194, DOI: 10.1002/mrm.27225
Magnetic Resonance in Medicine 80/6 2020-04-01
2018 Ioannis-Angelos Giapitzakis, Tamas Borbath, Saipavitra Murali-Manohar, Nikolai Avdievich, Anke Henning
Investigation of the influence of macromolecules and spline baseline in the fitting model of human brain spectra at 9.4T
published pages: , ISSN: 0740-3194, DOI: 10.1002/mrm.27467
Magnetic Resonance in Medicine 2020-04-01
2017 Gabriele Lohmann, Johannes Stelzer, Karsten Mueller, Eric Lacosse, Tilo Buschmann, Vinod J. Kumar, Wolfgang Grodd, Klaus Scheffler
Inflated False Negative Rates Undermine Reproducibility In Task-Based fMRI
published pages: , ISSN: 1097-0193, DOI: 10.1101/122788
bioRxiv 2020-04-01
2017 Mahito Sugiyama, M Elisabetta Ghisu, Felipe Llinares-López, Karsten Borgwardt
graphkernels: R and Python packages for graph comparison
published pages: 530-532, ISSN: 1367-4803, DOI: 10.1093/bioinformatics/btx602
Bioinformatics 34/3 2020-04-01
2018 Arman Eshaghi, Ferran Prados, Wallace J. Brownlee, Daniel R. Altmann, Carmen Tur, M. Jorge Cardoso, Floriana De Angelis, Steven H. van de Pavert, Niamh Cawley, Nicola De Stefano, M. Laura Stromillo, Marco Battaglini, Serena Ruggieri, Claudio Gasperini, Massimo Filippi, Maria A. Rocca, Alex Rovira, Jaume Sastre-Garriga, Hugo Vrenken, Cyra E. Leurs, Joep Killestein, Lukas Pirpamer, Christian Enzinger, Sebastien Ourselin, Claudia A.M. Gandini Wheeler-Kingshott, Declan Chard, Alan J. Thompson, Daniel C. Alexander, Frederik Barkhof, Olga Ciccarelli
Deep gray matter volume loss drives disability worsening in multiple sclerosis
published pages: 210-222, ISSN: 0364-5134, DOI: 10.1002/ana.25145
Annals of Neurology 83/2 2020-04-01
2017 Francesco Grussu, Torben Schneider, Carmen Tur, Richard L. Yates, Mohamed Tachrount, Andrada IanuÅŸ, Marios C. Yiannakas, Jia Newcombe, Hui Zhang, Daniel C. Alexander, Gabriele C. DeLuca, Claudia A. M. Gandini Wheeler-Kingshott
Neurite dispersion: a new marker of multiple sclerosis spinal cord pathology?
published pages: 663-679, ISSN: 2328-9503, DOI: 10.1002/acn3.445
Annals of Clinical and Translational Neurology 4/9 2020-04-01
2018 Yuriko Suzuki, Matthias J. P. van Osch, Noriyuki Fujima, Thomas W. Okell
Optimization of the spatial modulation function of vessel-encoded pseudo-continuous arterial spin labeling and its application to dynamic angiography
published pages: , ISSN: 0740-3194, DOI: 10.1002/mrm.27418
Magnetic Resonance in Medicine 2020-04-01

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