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Platform for brain research using UHF MRI, histology, and AI

Platform for brain research using UHF MRI, histology, and AI

Günther Grabner (ORCID: 0000-0001-8330-8446)
  • Grant DOI 10.55776/DFH50
  • Funding program doc.funds.connect
  • Status ongoing
  • Start October 1, 2023
  • End September 30, 2027
  • Funding amount € 1,029,586

Disciplines

Computer Sciences (22%); Clinical Medicine (28%); Medical-Theoretical Sciences, Pharmacy (50%)

Keywords

    Ultrahigh Field MRI, Histology, Demyelinating Diseases, Brain Tumors

Abstract

The Carinthian University of Applied Sciences and the Medical University of Vienna have established a cooperation, supported by the Austrian Science Fund FWF, in order to sustainably interlink basic university research and applied brain research. In the course of this project, seven PhD positions will be opened to develop new methods in the field of ultra-high field magnetic resonance imaging, histology, and artificial intelligence. The research aims to make developments and standards in the treatment of brain tumors and demyelinating diseases such as multiple sclerosis. An innovative research platform is being established to pool scientific knowledge. It combines scientific expertise and equipment at the cutting edge of technology from three departments of the Medical University of Vienna - the department of Radiology and Nuclear Medicine, the department of Neurology, and the department of Neurosurgery - and the University of Applied Sciences Carinthia - department of Engineering & IT and Medical Engineering and Analytics. The goal of this cooperative doctoral program is, among other things, the establishment of new clinically relevant biomarkers in neurological diseases through the development of innovative MR imaging techniques. These technologies will be used in the future as analysis and visualization tools with high clinical impact. The collaboration between the Carinthia University of Applied Sciences and the Medical University of Vienna should also lead to the training of the next generation of scientists, developers, and physicians who can jointly use these technologies in clinical routine. An example of this would be the optimization of neurosurgical planning for a better determination of the type of tumor, its environment, and the simulation of the intervention with the help of virtual reality. In order to meet the highest international standards, the PhD program includes at least one stay abroad per PhD student with international research partners. Seven internationally renowned cooperation partners from academia (e.g. Harvard and MIT) and industry (e.g. ICOMETRIX) have agreed to host our candidates. In addition to the positive effects for all stakeholders involved in this project, this interdisciplinary and cooperative PhD program will also significantly increase the amount of medical research in Carinthia by incorporating the latest findings from the largest medical research institution in Austria.

Consortium
  • Anita Kloss-Brandstätter, FH Kärnten
    consortium member (01.10.2023 -)
  • Georg Langs, Medizinische Universität Wien
    consortium member (01.10.2023 -)
  • Georg Widhalm, Medizinische Universität Wien
    consortium member (01.10.2023 -)
  • Günther Grabner, FH Kärnten
    consortium member (01.10.2023 -)
  • Paulus Stefan Rommer, Medizinische Universität Wien
    consortium member (01.10.2023 -)
  • Romana Höftberger, Medizinische Universität Wien
    consortium member (01.10.2023 -)
  • Siegfried Trattnig, Medizinische Universität Wien
    consortium member (01.10.2023 -)
  • Wolfgang Bogner, Medizinische Universität Wien
    consortium member (01.10.2023 -)
Research institution(s)
  • FH Kärnten
Project participants
  • Christian Langkammer, Medizinische Universität Graz , national collaboration partner
International project participants
  • Steffen Bollmann, University of Queensland Australia - Australia
  • Diana Sima, Icometrix - Belgium
  • Moritz Zaiss - Germany
  • Wolfgang Köhler - Germany
  • Christoph Juchem, Medizinische Universität Wien - USA
  • Ovidiu Cristian Andronesi, Harvard Medical School - USA
  • Ferdinand Schweser - USA

Research Output

  • 4 Citations
  • 25 Publications
  • 1 Methods & Materials
  • 1 Disseminations
  • 3 Scientific Awards
Publications
  • 2025
    Title Topographical mapping of metabolic abnormalities in multiple sclerosis using rapid echo-less 3D-MR spectroscopic imaging at 7T
    DOI 10.1016/j.neuroimage.2025.121043
    Type Journal Article
    Author Niess E
    Journal NeuroImage
    Pages 121043
    Link Publication
  • 2025
    Title Synthesized myelin and iron stainings from 7T multi-contrast MRI via deep learning
    DOI 10.1016/j.neuroimage.2025.121417
    Type Journal Article
    Author Pittayapong S
    Journal NeuroImage
    Pages 121417
    Link Publication
  • 2025
    Title 7T 3D-MR Spectroscopic Imaging of Glutathione Uncovers Oxidative Stress Signatures in Multiple Sclerosis Patients
    Type Conference Proceeding Abstract
    Author Niess E
    Conference Österreichische Gesellschaft für Neurologie
  • 2025
    Title 7T 3D-MR Spectroscopic Imaging of GSH and GPX4 Immunohistochemistry Staining Reveal Oxidative Stress Patterns in MS Lesions
    Type Conference Proceeding Abstract
    Author Fabian Niess
    Conference International Society for Magnetic Resonance in Medicine
    Link Publication
  • 2025
    Title Lesion-Level Glutathione Mapping Reveals Oxidative Stress Patterns in Patients with Multiple Sclerosis Using 7T 3D FID MRSI
    Type Conference Proceeding Abstract
    Author Eva Niess
    Conference European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS)
  • 2025
    Title 7T 3D-MR Spectroscopic Imaging Reveals Tissue- and Lesion-Specific Oxidative Stress in Multiple Sclerosis
    Type Conference Proceeding Abstract
    Author Eva Niess
    Conference European Academy of Neurology
    Link Publication
  • 2025
    Title Towards ihMT Imaging at 7T Using 3D Centric Gradient Echo Readout for ihMT Contrast Optimization: Preliminary Results
    Type Conference Proceeding Abstract
    Author Patrick Will
    Conference International Society for Magnetic Resonance in Medicine
    Link Publication
  • 2025
    Title Correcting motion related B0 Inhomogeneities Using AI based Prediction
    Type Conference Proceeding Abstract
    Author Mohammad Khosravi
    Conference Young Scientist Association
    Pages 1
  • 2025
    Title Correcting motion-related B0 Inhomogeneities via Combined Spherical Harmonics and AC/DCMatrix Coils Using AI-based Prediction
    Type Conference Proceeding Abstract
    Author Beata Bachrata
    Conference International Society for Magnetic Resonance in Medicine
    Link Publication
  • 2025
    Title Linewidth Analysis of MR Spectrum in AI-Based Dynamic Shimming in the Presence of Motion
    Type Conference Proceeding Abstract
    Author Mohammad Khosravi
    Conference European Society for Magnetic Resonance in Medicine and Biology
    Link Publication
  • 2025
    Title Interactive Visualization for Optimized Preoperative Neurosurgical Planning
    Type Conference Proceeding Abstract
    Author Anna Drechslerová
    Conference Young Scientist Association
  • 2025
    Title Interactive Visualization for Optimized Preoperative Neurosurgical Planning
    Type Conference Proceeding Abstract
    Author Andreas Daniel Hartl
    Conference Research Platform Medical Imaging (RPMI) 2025
    Pages 2
    Link Publication
  • 2025
    Title Imaging-based prediction of 5-ALA fluorescence in gliomas using preoperative 7T MRSI compared to T1w MRI and PET
    Type Conference Proceeding Abstract
    Author Lazen
    Conference European Academy of Neurology
  • 2025
    Title 7T 3D-MR Spectroscopic Imaging of GSH and GPX4 Immunohistochemistry Staining Reveal Oxidative Stress Patterns in MS Lesions
    Type Conference Proceeding Abstract
    Author Rebeka Rumbak
    Conference Young Scientist Association
  • 2025
    Title Using Deep Learning and 7T MRI to Predict Myelin Stainings Histology
    Type Conference Proceeding Abstract
    Author Sutatip Pittayapong
    Conference Young Scientist Association
  • 2025
    Title 7T MRI-Synthesized Iron and Myelin Histology by Deep Learning
    Type Conference Proceeding Abstract
    Author Simon Hametner
    Conference International Society for Magnetic Resonance in Medicine
    Link Publication
  • 2025
    Title Preoperative Glioma Characterization: Predicting 5-ALA Fluorescence Using 7T MRSI, Contrast MRI, and PET Imaging
    Type Conference Proceeding Abstract
    Author Philipp Lazen
    Conference Research Platform Medical Imaging (RPMI)
  • 2024
    Title Correlations between 5-ALA fluorescence and 7T MRSI in gliomas: Preliminary observations
    Type Conference Proceeding Abstract
    Author Lazen
    Conference European Academy of Neurology
  • 2024
    Title Correlations between 5-ALA fluorescence and 7T MRSI in gliomas: Preliminary observations
    Type Conference Proceeding Abstract
    Author Philipp Lazen
    Conference International Society for Magnetic Resonance in Medicine
    Link Publication
  • 2024
    Title Correlations between 5-ALA fluorescence and 7T MRSI ratios in gliomas: Preliminary results
    Type Conference Proceeding Abstract
    Author Philipp Lazen
    Conference MIC Festival 2024
  • 2024
    Title Synthesized Histology Images of Myelin and Iron Stainings from 7T Multi-Contrast MRI
    Type Conference Proceeding Abstract
    Author Simon Hametner
    Conference Electro-Magnetic Tissue Properties
    Link Publication
  • 2024
    Title Using Deep Learning to Predict Myelin Staining Patterns from 7T MRI
    Type Conference Proceeding Abstract
    Author Simon Hametner
    Conference International Student Congress
    Link Publication
  • 2024
    Title Prediction of myelin stainings using 7T MRI and deep learning
    Type Conference Proceeding Abstract
    Author Simon Hametner
    Conference International Society for Magnetic Resonance in Medicine
    Link Publication
  • 2024
    Title Utilizing 7T MRI and Deep Learning for the Prediction of Myelin Stainings
    Type Conference Proceeding Abstract
    Author Simon Hametner
    Conference Medical Imaging Cluster
  • 0
    Title we did just 2 years - that is a "Zwischenbericht"
    Type PhD Thesis
    Author Jane, Doe
Methods & Materials
  • 2025 Link
    Title Synthesized myelin and iron stainings from 7T multi-contrast MRI via deep learnin
    Type Model of mechanisms or symptoms - human
    Public Access
    Link Link
Disseminations
  • 2024
    Title Exchange University at Buffalo
    Type A formal working group, expert panel or dialogue
Scientific Awards
  • 2025
    Title Summa Cum Laude Award
    Type Poster/abstract prize
    Level of Recognition Continental/International
  • 2025
    Title Finalist for the MR of Cancer Abstract Award
    Type Poster/abstract prize
    Level of Recognition Continental/International
  • 2024
    Title Certificate of Excellence
    Type Poster/abstract prize
    Level of Recognition National (any country)

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