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Cristina Cudalbu

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Head

EPFL (École Polytechnique Fédérale de Lausanne)
Country flagSwitzerland

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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

CANADA
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André Döring

EPFL (École Polytechnique Fédérale de Lausanne)

SWITZERLAND
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Ileana Jelescu

Assistant Professor

University of Lausanne

SWITZERLAND
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Bernard Lanz

Researcher / Lecturer

École Polytechnique Fédérale de Lausanne

SWITZERLAND
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Guglielmo Genovese

Associate Professor

Norwegian University of Science and Technology

NORWAY
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Thanh Phong Lê

EPFL (École Polytechnique Fédérale de Lausanne)

SWITZERLAND
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Antoine Klauser

-

SWITZERLAND
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Wolfgang Bogner

Associate Professor

Medical University of Vienna

AUSTRIA
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Christopher Rose

Full Professor

Université de Montréal

CANADA
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Ruud B van Heeswijk

Associate Professor

Lausanne University Hospital (CHUV)

SWITZERLAND
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Roland Kreis

University of Bern

SWITZERLAND
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Julien Valette

-

FRANCE
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