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Physiological noise in MR images: An indicator of the tissue response to ischemia?
Author(s) -
Wang Harris H.,
Menezes Nina M.,
Zhu Ming Wang,
Ay Hakan,
Koroshetz Walter J.,
Aronen Hannu J.,
Karonen Jari O.,
Liu Yawu,
Nuutinen Juho,
Wald Lawrence L.,
Sorensen A. Gregory
Publication year - 2008
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.21007
Subject(s) - ischemia , vasomotion , perfusion , medicine , cardiology , stroke (engine) , brain tissue , brain ischemia , noise (video) , blood flow , physics , computer science , thermodynamics , artificial intelligence , image (mathematics)
Purpose To determine whether measuring signal intensity (SI) fluctuations in MRI time series data from acute stroke patients would identify ischemic tissue. Materials and Methods Prebolus perfusion‐weighted MRI data from 32 acute ischemic stroke patients ( N = 32) was analyzed as a time series. Ischemic and normal tissue regions were outlined and compared. Results The magnitude of the measured SI fluctuations was significantly lower in ischemic regions relative to normal tissue. Spatial differences in these fluctuations occurred in a manner that was different than other perfusion‐based metrics. Conclusion Prior studies have shown that SI fluctuations in MRI time series data correspond to the presence of physiological “noise,” which includes vasomotion, an autoregulatory phenomenon that affects the tissue response to ischemia. In this study, SI fluctuations were found to decrease in ischemia, consistent with the notion that small vessels will remain open (fluctuations in vessel diameter will decrease) when there is a challenge to flow. Spatial variation in SI fluctuations appeared to be different from spatial variation seen on other perfusion‐based metrics, suggesting that a separate contrast mechanism is responsible, one that might be of diagnostic and prognostic value in acute stroke in which the ability of tissue to withstand ischemia is currently not well visualized. J. Magn. Reson. Imaging 2008;27:866–871. © 2008 Wiley‐Liss, Inc.