Characterization and Validation of Compressed Sensing for Time-of-Flight MRI Angiography of the Human Brain at 3T and 7T

Background: Cerebral vasculature is a key biomarker of brain health, and time-of-flight (TOF) magnetic resonance angiography (MRA) provides noninvasive assessment of vascular anatomy. However, conventional TOF-MRA requires long scan times, increasing patient burden and susceptibility to motion artifacts. Compressed sensing (CS) offers a feasible acceleration strategy. Purpose: To quantitatively evaluate CS acceleration in TOF-MRA at 3T and 7T using automated whole-FOV vascular segmentation and semi-automatic segmentation of representative vessels. Study type: Prospective. Population: 23 healthy human participants (3T) and 8 healthy human participants (7T). Field Strength/Sequence: CS TOF-MRA (CS factors 4 and 8 at 3T; 8 at 7T) was compared against non-accelerated (CS0) TOF-MRA. Assessment: Visual comparison and vascular segmentation were performed using automated whole-FOV methods and semi-automatic segmentation of the posterior cerebral artery and anterior choroidal artery. Statistical Tests: Contrast-to-noise ratio (CNR), voxel count, and vessel diameter were assessed using two-tailed paired t-tests. Results: = 0.78 (CS0 vs. CS4), 0.57 (CS4 vs. CS8), 1.17 (CS0 vs. CS8)). Data Conclusion: CS shows promise for enhancing clinical applicability of TOF-MRA, with advantages most pronounced at 7T.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-04-24
DOI
https://doi.org/10.64898/2026.04.22.720171
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Characterization and Validation of Compressed Sensing for Time-of-Flight MRI Angiography of the Human Brain at 3T and 7T

Emrah Düzel, Gustaf Rådman, Xiaole Zhong, Jacob J. L. Matthews et al.
bioRxiv (Cold Spring Harbor Laboratory)
Advanced MRI Techniques and Applications
article

Characterization and Validation of Compressed Sensing for Time-of-Flight MRI Angiography of the Human Brain at 3T and 7T

Emrah Düzel, Gustaf Rådman, Xiaole Zhong, Jacob J. L. Matthews, Mrinmayi Kulkarni, Grazia Daniela Femminella, Martina F. Callaghan, J Jean Chen, Rosanna K. Olsen, Dorothea Hämmerer, Valentina Perosa
article en

Abstract

Background: Cerebral vasculature is a key biomarker of brain health, and time-of-flight (TOF) magnetic resonance angiography (MRA) provides noninvasive assessment of vascular anatomy. However, conventional TOF-MRA requires long scan times, increasing patient burden and susceptibility to motion artifacts. Compressed sensing (CS) offers a feasible acceleration strategy. Purpose: To quantitatively evaluate CS acceleration in TOF-MRA at 3T and 7T using automated whole-FOV vascular segmentation and semi-automatic segmentation of representative vessels. Study type: Prospective. Population: 23 healthy human participants (3T) and 8 healthy human participants (7T). Field Strength/Sequence: CS TOF-MRA (CS factors 4 and 8 at 3T; 8 at 7T) was compared against non-accelerated (CS0) TOF-MRA. Assessment: Visual comparison and vascular segmentation were performed using automated whole-FOV methods and semi-automatic segmentation of the posterior cerebral artery and anterior choroidal artery. Statistical Tests: Contrast-to-noise ratio (CNR), voxel count, and vessel diameter were assessed using two-tailed paired t-tests. Results: = 0.78 (CS0 vs. CS4), 0.57 (CS4 vs. CS8), 1.17 (CS0 vs. CS8)). Data Conclusion: CS shows promise for enhancing clinical applicability of TOF-MRA, with advantages most pronounced at 7T.

bioRxiv (Cold Spring Harbor Laboratory)
Queen Mary University of London (GB), University of Toronto (CA), Lund University (SE), Universität Innsbruck (AT), Cambridge Hospital (US), Baycrest Hospital (CA), Massachusetts General Hospital (US), University Hospital Magdeburg (DE), University College London (GB), University of Naples Federico II (IT), Otto-von-Guericke-Universität Magdeburg (DE)
Canada Research Chairs, National Institute on Aging
Openalex Percentile: Top 10%
Advanced MRI Techniques and Applications
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