Physiological noise in MR images: An indicator of the tissue response to ischemia?

To determine whether measuring signal intensity (SI) fluctuations in MRI time series data from acute stroke patients would identify ischemic tissue.

[1]  G. Glover,et al.  Physiological noise in oxygenation‐sensitive magnetic resonance imaging , 2001, Magnetic resonance in medicine.

[2]  V. Haughton,et al.  Frequencies contributing to functional connectivity in the cerebral cortex in "resting-state" data. , 2001, AJNR. American journal of neuroradiology.

[3]  B. Biswal,et al.  Simultaneous assessment of flow and BOLD signals in resting‐state functional connectivity maps , 1997, NMR in biomedicine.

[4]  Bharat B. Biswal,et al.  Functionally Related Correlation in the Noise , 2000 .

[5]  G H Glover,et al.  Image‐based method for retrospective correction of physiological motion effects in fMRI: RETROICOR , 2000, Magnetic resonance in medicine.

[6]  J. Saunders,et al.  k‐space detection and correction of physiological artifacts in fMRI , 1997, Magnetic resonance in medicine.

[7]  F. Buonanno,et al.  Predicting Tissue Outcome in Acute Human Cerebral Ischemia Using Combined Diffusion- and Perfusion-Weighted MR Imaging , 2001, Stroke.

[8]  S M Davis,et al.  Pathophysiological topography of acute ischemia by combined diffusion-weighted and perfusion MRI. , 1999, Stroke.

[9]  Gereon R Fink,et al.  MR imaging in acute stroke: diffusion-weighted and perfusion imaging parameters for predicting infarct size. , 2002, Radiology.

[10]  X Hu,et al.  Retrospective estimation and correction of physiological fluctuation in functional MRI , 1995, Magnetic resonance in medicine.

[11]  M. O’Sullivan,et al.  MRI based diffusion and perfusion predictive model to estimate stroke evolution. , 2001, Magnetic resonance imaging.

[12]  D. Le Bihan,et al.  Viability Thresholds of Ischemic Penumbra of Hyperacute Stroke Defined by Perfusion-Weighted MRI and Apparent Diffusion Coefficient , 2001, Stroke.

[13]  L. K. Hansen,et al.  Defining a local arterial input function for perfusion MRI using independent component analysis , 2004, Magnetic resonance in medicine.

[14]  C. Beaulieu,et al.  Longitudinal magnetic resonance imaging study of perfusion and diffusion in stroke: Evolution of lesion volume and correlation with clinical outcome , 1999, Annals of neurology.

[15]  M. A. Viergever,et al.  Prognostic value of perfusion- and diffusion-weighted MR imaging in first 3 days of stroke , 2000, European Radiology.

[16]  B. Biswal,et al.  Hypercapnia Reversibly Suppresses Low-Frequency Fluctuations in the Human Motor Cortex during Rest Using Echo–Planar MRI , 1997, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[17]  G. Schlaug,et al.  The ischemic penumbra: operationally defined by diffusion and perfusion MRI. , 1999, Neurology.

[18]  T. L. Davis,et al.  Hyperacute stroke: evaluation with combined multisection diffusion-weighted and hemodynamically weighted echo-planar MR imaging. , 1996, Radiology.

[19]  R R Edelman,et al.  Clinical Outcome in Ischemic Stroke Predicted by Early Diffusion-Weighted and Perfusion Magnetic Resonance Imaging: A Preliminary Analysis , 1996, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[20]  A Gregory Sorensen,et al.  Predicting cerebral ischemic infarct volume with diffusion and perfusion MR imaging. , 2002, AJNR. American journal of neuroradiology.

[21]  B. Biswal,et al.  Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.

[22]  M. Lowe,et al.  Functional Connectivity in Single and Multislice Echoplanar Imaging Using Resting-State Fluctuations , 1998, NeuroImage.

[23]  W Hacke,et al.  Stroke magnetic resonance imaging within 6 hours after onset of hyperacute cerebral ischemia , 2001, Annals of neurology.

[24]  A. Sorensen,et al.  Automated perfusion‐weighted MRI using localized arterial input functions , 2006, Journal of magnetic resonance imaging : JMRI.

[25]  Lawrence L. Wald,et al.  Comparison of physiological noise at 1.5 T, 3 T and 7 T and optimization of fMRI acquisition parameters , 2005, NeuroImage.

[26]  J. Haxby,et al.  Localization of Cardiac-Induced Signal Change in fMRI , 1999, NeuroImage.

[27]  Bharat B. Biswal,et al.  SPONTANEOUS FLUCTUATIONS IN CEREBRAL OXYGEN SUPPLY , 1998 .

[28]  E. DeYoe,et al.  Reduction of physiological fluctuations in fMRI using digital filters , 1996, Magnetic resonance in medicine.

[29]  B B Biswal,et al.  Spontaneous fluctuations in cerebral oxygen supply. An introduction. , 1998, Advances in experimental medicine and biology.

[30]  B. Rosen,et al.  High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part II: Experimental comparison and preliminary results , 1996, Magnetic resonance in medicine.

[31]  R J Seitz,et al.  Diffusion- and perfusion-weighted MRI. The DWI/PWI mismatch region in acute stroke. , 1999, Stroke.