Correcting for the echo-time effect after measuring the cerebral blood flow by arterial spin labeling.
Abstract
PURPOSE
To take into account the echo time (TE) influence on arterial spin labeling (ASL) signal when converting it in regional cerebral
blood flow (rCBF). Gray matter ASL signal decrease with increasing TE as a consequence of the difference in the apparent transverse
relaxation rates between labeled water in capillaries and nonlabeled water in the tissue (δR 2*). We aimed to measure ASL/rCBF
changes in different parts of the brain and correct them.
MATERIALS AND METHODS
Fifteen participants underwent ASL measurements at TEs of 9.7-30 ms. Decreases in ASL values were localized by statistical
parametric mapping. The corrections assessed were a subject-per-subject adjustment, an average δR 2* value adjustment, and
a two-compartment model adjustment.
RESULTS
rCBF decreases associated with increasing TEs were found for gray matter and were corrected using an average δR 2* value of
20 s(-1) . Conversely, for white matter, rCBF values increased with increasing TEs (δR 2* = -23 s(-1)).
CONCLUSION
Our correction was as good as using a two-compartment model. However, it must be done separately for the gray and white matter
rCBF values because the capillary R 2* values are, respectively, larger and smaller than those of surrounding tissues.
Links
Authors
Foucher JR, Roquet D, Marrer C, Pham BT, Gounot D
Institution
UdS, Université de Strasbourg, Strasbourg, France; INSERM U666-Physiopathologie et Psychopathologie Cognitive de la Schizophrénie, Strasbourg, France. jack.foucher@laposte.net
Source
Journal of magnetic resonance imaging : JMRI 34:4 2011 Oct pg 785-90MeSH
AdultBlood Circulation Time
Cerebral Angiography
Cerebral Arteries
Cerebral Cortex
Cerebrovascular Circulation
Echo-Planar Imaging
Female
Humans
Magnetic Resonance Angiography
Male
Middle Aged
Models, Cardiovascular
Nerve Fibers, Myelinated
Sampling Studies
Sensitivity and Specificity
Spin Labels
Pub Type(s)
Journal ArticleResearch Support, Non-U.S. Gov't
Language
eng
PubMed ID
21769973
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