Literature DB >> 22170792

Phase contrast MRI quantification of pulsatile volumes of brain arteries, veins, and cerebrospinal fluids compartments: repeatability and physiological interactions.

Anders Wåhlin1, Khalid Ambarki, Jón Hauksson, Richard Birgander, Jan Malm, Anders Eklund.   

Abstract

PURPOSE: To study measurement repeatability and physiological determinants on measurement stability for phase contrast MRI (PC-MRI) measurements of cyclic volume changes (ΔV) of brain arteries, veins, and cerebrospinal fluid (CSF) compartments.
MATERIALS AND METHODS: Total cerebral blood flow (tCBF), total internal jugular flow (tJBF) and spinal CSF flow at C2-C3 level and CSF in the aqueduct was measured using five repetitions in 20 healthy subjects. After subtracting net flow, waveforms were integrated to calculate ΔV of arterial, venous, and cerebrospinal fluid compartments. The intraclass correlation coefficient (ICC) was used to measure repeatability. Systematic errors were investigated by a series of phantom measurements.
RESULTS: For ΔV calculated from tCBF, tJBF and both CSF waveforms, the ICC was ≥0.85. ΔV from the tCBF waveform decreased linearly between repetitions (P = 0.012). Summed CSF and venous volume being shifted out from the cranium was correlated with ΔV calculated from the tCBF waveform (r = 0.75; P < 0.001). Systematic errors increased at resolutions <4 pixels per diameter.
CONCLUSION: Repeatability of ΔV calculated from tCBF, tJBF, and CSF waveforms allows useful interpretations. The subject's time in the MR system and imaging resolution should be considered when interpreting volume changes. Summed CSF and venous volume changes was associated with arterial volume changes.
Copyright © 2011 Wiley Periodicals, Inc.

Mesh:

Year:  2011        PMID: 22170792     DOI: 10.1002/jmri.23527

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  37 in total

1.  Accuracy of Parenchymal Cerebral Blood Flow Measurements Using Pseudocontinuous Arterial Spin-Labeling in Healthy Volunteers.

Authors:  K Ambarki; A Wåhlin; L Zarrinkoob; R Wirestam; J Petr; J Malm; A Eklund
Journal:  AJNR Am J Neuroradiol       Date:  2015-08-06       Impact factor: 3.825

2.  Fast 4D flow MRI intracranial segmentation and quantification in tortuous arteries.

Authors:  Eric Schrauben; Anders Wåhlin; Khalid Ambarki; Erik Spaak; Jan Malm; Oliver Wieben; Anders Eklund
Journal:  J Magn Reson Imaging       Date:  2015-04-02       Impact factor: 4.813

3.  Blood flow distribution in cerebral arteries.

Authors:  Laleh Zarrinkoob; Khalid Ambarki; Anders Wåhlin; Richard Birgander; Anders Eklund; Jan Malm
Journal:  J Cereb Blood Flow Metab       Date:  2015-03-31       Impact factor: 6.200

4.  Characterizing pulsatility in distal cerebral arteries using 4D flow MRI.

Authors:  Tomas Vikner; Lars Nyberg; Madelene Holmgren; Jan Malm; Anders Eklund; Anders Wåhlin
Journal:  J Cereb Blood Flow Metab       Date:  2019-11-13       Impact factor: 6.200

5.  Quantifying errors in flow measurement using phase contrast magnetic resonance imaging: comparison of several boundary detection methods.

Authors:  Jing Jiang; Paul Kokeny; Wang Ying; Chris Magnano; Robert Zivadinov; E Mark Haacke
Journal:  Magn Reson Imaging       Date:  2014-11-12       Impact factor: 2.546

Review 6.  Mechanisms of fluid movement into, through and out of the brain: evaluation of the evidence.

Authors:  Stephen B Hladky; Margery A Barrand
Journal:  Fluids Barriers CNS       Date:  2014-12-02

7.  Measuring pulsatile flow in cerebral arteries using 4D phase-contrast MR imaging.

Authors:  A Wåhlin; K Ambarki; R Birgander; O Wieben; K M Johnson; J Malm; A Eklund
Journal:  AJNR Am J Neuroradiol       Date:  2013-03-14       Impact factor: 3.825

8.  Inter- and intra-rater reliability of blood and cerebrospinal fluid flow quantification by phase-contrast MRI.

Authors:  Inga Koerte; Caroline Haberl; Michael Schmidt; Andreas Pomschar; Sang Lee; Petra Rapp; Denise Steffinger; Rong-Wen Tain; Noam Alperin; Birgit Ertl-Wagner
Journal:  J Magn Reson Imaging       Date:  2013-01-31       Impact factor: 4.813

Review 9.  Methods to measure, model and manipulate fluid flow in brain.

Authors:  Krishnashis Chatterjee; Cora M Carman-Esparza; Jennifer M Munson
Journal:  J Neurosci Methods       Date:  2019-12-12       Impact factor: 2.390

10.  Cerebral blood flow rates in recent great apes are greater than in Australopithecus species that had equal or larger brains.

Authors:  Roger S Seymour; Vanya Bosiocic; Edward P Snelling; Prince C Chikezie; Qiaohui Hu; Thomas J Nelson; Bernhard Zipfel; Case V Miller
Journal:  Proc Biol Sci       Date:  2019-11-13       Impact factor: 5.349

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