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Cited by 97Advanced MRI Techniques and ApplicationsAdvanced Neuroimaging Techniques and ApplicationsNMR spectroscopy and applications

MR vascular fingerprinting: a new approach to compute cerebral blood volume, mean vessel radius, and oxygenation maps in the human brain

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Christen, T., Pannetier, N.A., Ni, W.W., Qiu, D., Moseley, M.E., Schuff, N., Zaharchuk, G.·2014·NeuroImage
DOI 10.1016/j.neuroimage.2013.11.052PMC PMC3940168
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Abstract

In the present study, we describe a fingerprinting approach to analyze the time evolution of the MR signal and retrieve quantitative information about the microvascular network. We used a Gradient Echo Sampling of the Free Induction Decay and Spin Echo (GESFIDE) sequence and defined a fingerprint as the ratio of signals acquired pre- and post-injection of an iron-based contrast agent. We then simulated the same experiment with an advanced numerical tool that takes a virtual voxel containing blood vessels as input, then computes microscopic magnetic fields and water diffusion effects, and eventually derives the expected MR signal evolution. The parameter inputs of the simulations (cerebral blood volume [CBV], mean vessel radius [R], and blood oxygen saturation [SO2]) were varied to obtain a dictionary of all possible signal evolutions. The best fit between the observed fingerprint and the dictionary was then determined by using least square minimization. This approach was evaluated in 5 normal subjects and the results were compared to those obtained by using more conventional MR methods, steady-state contrast imaging for CBV and R and a global measure of oxygenation obtained from the superior sagittal sinus for SO2. The fingerprinting method enabled the creation of high-resolution parametric maps of the microvascular network showing expected contrast and fine details. Numerical values in gray matter (CBV=3.1±0.7%, R=12.6±2.4μm, SO2=59.5±4.7%) are consistent with literature reports and correlated with conventional MR approaches. SO2 values in white matter (53.0±4.0%) were slightly lower than expected. Numerous improvements can easily be made and the method should be useful to study brain pathologies.

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  1. Otsu N A threshold selection method from graylevel histograms IEEE Trans Syst Madn Cybern 1979 9 62 66

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Authors
Christen, T., Pannetier, N. A., Ni, W. W., Qiu, D., Moseley, M. E., Schuff, N., & Zaharchuk, G.
Affiliations
  • Stanford Medicine (US)
  • San Francisco VA Medical Center (US)
Corresponding author
Christen, T.
ORCID
Venue
NeuroImage
Publisher
Elsevier BV
Published
2014-04
Volume
89
Pages
262-270
ISSN
1053-8119 (ISSN-L)
DOI
10.1016/j.neuroimage.2013.11.052
PMC
PMC3940168
OpenAlex
W1977221251
Cited by
97
References
49
Citations by year
2026: 9 · 2025: 11 · 2024: 7 · 2023: 5 · 2022: 4 · 2021: 6 · 2020: 7 · 2019: 10 · 2018: 15 · 2017: 12 · 2016: 5 · 2015: 3 · 2014: 3
FWCI
2.84
Type
journal article
Language
en
Open access
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • NeuroImage (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institute of Neurological Disorders and Stroke (R01NS066506, R01NS047607)
  • National Center for Research Resources (P41RR023953, 5P41RR09784, P41RR009784)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Physical Sciences › Physics and Astronomy › Nuclear and High Energy Physics › NMR spectroscopy and applications
Keywords
cerebral blood volume, oxygen saturation, microvascular networks, iron-based contrast agents, parametric maps, gray and white matter, cerebral oxygenation
MeSH terms
Adult, Blood Volume Determination, Brain, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Models, Theoretical, Oxygen

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