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Cristina Cudalbu
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Recent Grants
Grant: Open
SHEDDING LIGHT ON THE INVISIBLE: MAPPING BRAIN MICROSTRUCTURE USING DIFFUSION MAGNETIC RESONANCE SPECTROSCOPIC IMAGING
Open Date: 2024-09-01
Close Date: 2028-08-31
Grant: Open
Epigenetic landscape of gliomas and their implications for tumor biology and treatment of cancer
Open Date: 2023-05-01
Close Date: 2027-04-30
Grant: Open
Developments of innovative fast acquisition and metabolic modelling strategies for clinical and preclinical deuterium MR imaging in the brain at ultra-high field
Open Date: 2023-02-01
Close Date: 2027-01-31
Grant: Close
The International Magnetic Resonance Spectroscopy Workshop “MRS 2022: Overcoming the Barriers to Clinical Use”
Open Date: 2022-07-01
Close Date: 2022-09-30
Grant: Close
Enhanced MR Spectroscopic mapping of brain regional changes in type C hepatic encephalopathy of juvenile rats to develop novel combinatorial treatments
Open Date: 2021-10-01
Close Date: 2025-09-30
Articles (9)
Year:
2026
Year:
2026
Year:
2025
Year:
2024
Year:
2024
Year:
2023
Brain cell structure and function reflect neurodevelopment, plasticity, and aging; and changes can help flag pathological processes such as neurodegeneration and neuroinflammation. Accurate and quantitative methods to noninvasively disentangle cellular structural features are needed and are a substantial focus of brain research. Diffusion‐weighted MRS (dMRS) gives access to diffusion properties of endogenous intracellular brain metabolites that are preferentially located inside specific brain cell populations. Despite its great potential, dMRS remains a challenging technique on all levels: from the data acquisition to the analysis, quantification, modeling, and interpretation of results. These challenges were the motivation behind the organization of the Lorentz Center workshop on “Best Practices & Tools for Diffusion MR Spectroscopy” held in Leiden, the Netherlands, in September 2021. During the workshop, the dMRS community established a set of recommendations to execute robust dMRS studies. This paper provides a description of the steps needed for acquiring, processing, fitting, and modeling dMRS data, and provides links to useful resources.
Year:
2023
Year:
2023
Year:
2023
Collaborators (12)
Christian Beaulieu
Professor
University of Alberta
André Döring
EPFL (École Polytechnique Fédérale de Lausanne)
Ileana Jelescu
Assistant Professor
University of Lausanne
Bernard Lanz
Researcher / Lecturer
École Polytechnique Fédérale de Lausanne
Guglielmo Genovese
Associate Professor
Norwegian University of Science and Technology
Thanh Phong Lê
EPFL (École Polytechnique Fédérale de Lausanne)
Antoine Klauser
-
Wolfgang Bogner
Associate Professor
Medical University of Vienna
Christopher Rose
Full Professor
Université de Montréal
Ruud B van Heeswijk
Associate Professor
Lausanne University Hospital (CHUV)
Roland Kreis
University of Bern
Julien Valette
-
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