Venous Vessel Size Imaging Derived From A Breath‐Hold Task

Vessel size imaging (VSI) to provide a measure of vessel radius in the brain has been demonstrated using an injection of contrast agent. Venous vessel radius imaging of brain microvasculature is also possible by exploiting hypercapnia and hyperoxia. However, these respiratory challenges need external devices like masks, monitors, and gas application. In this study, we employ a breath-hold task to mimic hypercapnia for venous VSI. Breath-hold experiments of brain scans were performed on 14 subjects on a 3-T scanner. Parametric maps of mean venous vessel radius were calculated from the changes in R2* and R2, ΔR2* and ΔR2, respectively, which were measured by simultaneous acquisition of gradient-echo and spin-echo signals using a spin- and gradient-echo (SAGE) echo-planar imaging sequence. In addition, we numerically simulated the expected transverse relaxation in voxels with different vessel radii based on randomly distributed cylinders to eventually obtain vessel size index q (ΔR2*/ΔR2) and associated average vessel radii. With this empirical relation of vessel size index q and vessel radius, the mean measured vessel size index was determined, and venous vessel radii in breath-hold were found to be 7.18 ± 0.49 μm in gray matter and 6.06 ± 0.22 μm in white matter. This study demonstrates the feasibility of venous VSI using a simple breath-hold task. The approach avoids contrast agents and specialized gas delivery, providing a practical alternative for assessing vascular properties. Our results show good agreement with previous hypercapnia- and contrast-based studies, supporting the validity of this noninvasive method.

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Publication Details

Journal
NMR in Biomedicine
Published
2025-12-17
DOI
https://doi.org/10.1002/nbm.70212
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Venous Vessel Size Imaging Derived From A Breath‐Hold Task

Oliver Sedlaczek, Heinz‐Peter Schlemmer, Mark Oliver Wielpütz, Felix Tobias Kurz et al.
NMR in Biomedicine
Advanced MRI Techniques and Applications
article

Venous Vessel Size Imaging Derived From A Breath‐Hold Task

Oliver Sedlaczek, Heinz‐Peter Schlemmer, Mark Oliver Wielpütz, Felix Tobias Kurz, Simon M. F. Triphan, Hans‐Ulrich Kauczor, Mark E. Ladd, Christian H. Ziener, Artur Hahn, Ke Zhang
article en

Abstract

Vessel size imaging (VSI) to provide a measure of vessel radius in the brain has been demonstrated using an injection of contrast agent. Venous vessel radius imaging of brain microvasculature is also possible by exploiting hypercapnia and hyperoxia. However, these respiratory challenges need external devices like masks, monitors, and gas application. In this study, we employ a breath-hold task to mimic hypercapnia for venous VSI. Breath-hold experiments of brain scans were performed on 14 subjects on a 3-T scanner. Parametric maps of mean venous vessel radius were calculated from the changes in R2* and R2, ΔR2* and ΔR2, respectively, which were measured by simultaneous acquisition of gradient-echo and spin-echo signals using a spin- and gradient-echo (SAGE) echo-planar imaging sequence. In addition, we numerically simulated the expected transverse relaxation in voxels with different vessel radii based on randomly distributed cylinders to eventually obtain vessel size index q (ΔR2*/ΔR2) and associated average vessel radii. With this empirical relation of vessel size index q and vessel radius, the mean measured vessel size index was determined, and venous vessel radii in breath-hold were found to be 7.18 ± 0.49 μm in gray matter and 6.06 ± 0.22 μm in white matter. This study demonstrates the feasibility of venous VSI using a simple breath-hold task. The approach avoids contrast agents and specialized gas delivery, providing a practical alternative for assessing vascular properties. Our results show good agreement with previous hypercapnia- and contrast-based studies, supporting the validity of this noninvasive method.

NMR in BiomedicineVol. 39(1)
German Cancer Research Center (DE), Heidelberg University (DE), University Hospital Heidelberg (DE), University Hospital of Geneva (CH), German Center for Lung Research (DE), Geneva College (US), Heidelberg University (US)
Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 45%
Advanced MRI Techniques and Applications
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