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Physiological MR signal variations within the brain at 3 T

  • Uwe Klose , Sigrid Friese , Michael Erb and Wolfgang Grodd
Published/Copyright: February 22, 2007
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Biomedical Engineering / Biomedizinische Technik
From the journal Volume 52 Issue 1

Abstract

The echoplanar technique in magnetic resonance (MR) imaging allows the acquisition of a series of images from a selected slice with a temporal resolution of 10/s. Simultaneous recording of physiological information on pulse and respiration allows correlation of the MR signal intensity with physiological signals, which can be obtained for each pixel examined. Such correlations can be found within the cerebrospinal fluid (CSF) spaces and within vessels if a flow-sensitive MR measurement technique is used. The use of an MR scanner with a field strength of 3 T improves the signal/noise ratio, but there is a stronger signal decay due to local magnetic inhomogeneities. This study shows that 3-T systems can be used for correlation of MR and physiological signals and that clear differentiation between signals from CSF and from vessels can be obtained due to their strongly different signal decays.


Corresponding author: PD Dr. Uwe Klose, Section for Experimental Magnetic Resonance of the Central Nervous System, Department for Neuroradiology, University Hospital Tübingen, Hoppe-Seyler-Str. 3, 72076 Tübingen, Germany, Phone:+49-7071-2985398 Fax: +49-7071-294371

References

[1] Mansfield P. Multi-planar image formation using NMR spin echoes. J Phys C1977; 10: L55–L58.10.1088/0022-3719/10/3/004Search in Google Scholar

[2] Stehling MK, Turner R, Mansfield P. Echo planar imaging: magnetic resonance imaging in a fraction of a second. Science1991; 254: 43–50.10.1126/science.1925560Search in Google Scholar

[3] Rosen BR, Belliveau JW, Vevea JM, Brady TJ. Perfusion imaging with NMR contrast agents. Magn Reson Med1990; 14: 249–265.10.1002/mrm.1910140211Search in Google Scholar

[4] Ogawa S, Lee T-M, Kay AR, Tank DW. Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proc Natl Acad Sci USA1990; 87: 9868–9872.10.1073/pnas.87.24.9868Search in Google Scholar

[5] Biswal B, Yetkin FZ, Haughton VM, Hyde JS. Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn Reson Med1995; 34: 537–541.10.1002/mrm.1910340409Search in Google Scholar

[6] Craighero S, Promayon E, Baconnier P, Lebas JF, Coulomb M. Dynamic echo-planar MR imaging of the diaphragm for a 3D dynamic analysis. Eur Radiol2005; 15: 742–748.10.1007/s00330-004-2482-2Search in Google Scholar

[7] Windischberger C, Langenberger H, Sycha T, et al. On the origin of respiratory artifacts in BOLD-EPI of the human brain. Magn Reson Imaging2002; 20: 575–582.10.1016/S0730-725X(02)00563-5Search in Google Scholar

[8] Klose U, Strik C, Kiefer C, Grodd W. Detection of a relation between respiration and CSF pulsation with an echoplanar technique. J Magn Reson Imaging2000; 11: 438–444.10.1002/(SICI)1522-2586(200004)11:4<438::AID-JMRI12>3.0.CO;2-OSearch in Google Scholar

[9] Strik C, Klose U, Erb M, Strik H, Grodd W. Intracranial oscillations of cerebrospinal fluid and blood flows: analysis with magnetic resonance imaging. J Magn Reson Imaging2002; 15: 251–258.10.1002/jmri.10084Search in Google Scholar

[10] Friese S, Hamhaber U, Erb M, Kueker W, Klose U. The influence of pulse and respiration on spinal cerebrospinal fluid pulsation. Invest Radiol2004; 39: 120–130.10.1097/01.rli.0000112089.66448.bdSearch in Google Scholar

[11] Friese S, Hamhaber U, Erb M, Klose U. B-waves in cerebral and spinal cerebrospinal fluid pulsation measurement by magnetic resonance imaging. J Comput Assist Tomogr2004; 28: 255–262.10.1097/00004728-200403000-00016Search in Google Scholar

[12] Duyn J-H, Tan C-X, van Gelderen P, Yongbi M-N. High-sensitivity single-shot perfusion-weighted fMRI. Magn Reson Med2001; 46: 88–94.10.1002/mrm.1163Search in Google Scholar

[13] Heiland S, Kreibich W, Reith W, et al. Comparison of echo-planar sequences for perfusion-weighted MRI: which is best? Neuroradiology1998; 40: 216–221.10.1007/s002340050570Search in Google Scholar

[14] Klose U, Erb M, Wildgruber D, Muller E, Grodd W. Improvement of the acquisition of a large amount of MR images on a conventional whole body system. Magn Reson Imaging1999; 17: 471–474.10.1016/S0730-725X(98)00173-8Search in Google Scholar

Published Online: 2007-02-22
Published in Print: 2007-02-01

©2007 by Walter de Gruyter Berlin New York

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