Henk Mutsaerts

Assistant prof

University of Amsterdam

Netherlands

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About

Henk Mutsaerts is an Assistant Professor at Vrije Universiteit Amsterdam, Netherlands. His research focuses on cerebral circulation imaging, particularly in relation to anabolic-androgenic steroid use, multiple sclerosis, and cerebral blood flow measurement techniques. His recent publications emphasize advancements in perfusion imaging methodologies and the investigation of sex differences in cerebral blood flow.

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2025

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2023

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2023

Collaborators (19)

Yuriko Suzuki

University of Oxford

UNITED KINGDOM

Henk Mutsaerts

Research Interests

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Articles (18)

Imaging cerebral circulation in long-term anabolic-androgenic steroid users and non-using weightlifters

Multiple Sclerosis–Specific Reference Curves for Brain Volumes to Explain Disease Severity

Reproducibility of arterial spin labeling cerebral blood flow image processing: A report of the ISMRM open science initiative for perfusion imaging (OSIPI) and the ASL MRI challenge

ASL lexicon and reporting recommendations: A consensus report from the ISMRM Open Science Initiative for Perfusion Imaging (OSIPI)

Brain Tumor Imaging without Gadolinium-based Contrast Agents: Feasible or Fantasy?

A systematic review of (semi-)automatic quality control of T1-weighted MRI scans

Current state and guidance on arterial spin labeling perfusion MRI in clinical neuroimaging

The value of arterial spin labelling perfusion MRI in brain age prediction

The road to the ISMRM OSIPI: A community‐led initiative for reproducible perfusion MRI

Sex differences in cerebral blood flow among adolescents with bipolar disorder

Elevated regional cerebral blood flow in adults with 22q11.2 deletion syndrome

Impact of White Adipose Tissue on Brain Structure, Perfusion, and Cognitive Function in Patients With Severe Obesity

Reproducibility of 3 T APT‐CEST in Healthy Volunteers and Patients With Brain Glioma

A framework for advancing sustainable magnetic resonance imaging access in Africa

Advanced intraoperative MRI in pediatric brain tumor surgery

Biological brain age prediction using machine learning on structural neuroimaging data: Multi-cohort validation against biomarkers of Alzheimer’s disease and neurodegeneration stratified by sex

<scp>ISMRM</scp> Open Science Initiative for Perfusion Imaging (OSIPI): <scp>ASL</scp> pipeline inventory

MRI-based parameter inference for cerebral perfusion modelling in health and ischaemic stroke

Collaborators (19)

Yuriko Suzuki

Lars Verschuren

Alle Meije Wink

Frederik Barkhof

Rita Nunes

Bradley J. MacIntosh

Danny Wang

Lars T. Westlye

Udunna Anazodo

Marco Duering

Anne Bassett

Moss Zhao

António Bastos Leite

Tamas Jozsa

Jan Petr

Andrew Robertson

Steven P. Sourbron

Mario Masellis

Vera C. Keil

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