Literature DB >> 30579226

Phase contrast MRI of creeping flows using stimulated echo.

Kulam Najmudeen Magdoom1, Ahmad Zeinomar2, Russell R Lonser3, Malisa Sarntinoranont4, Thomas H Mareci5.   

Abstract

Creeping flows govern many important physiological phenomena such as elevated interstitial fluid flows in tumors, glymphatic flows in the brain, among other applications. However, few methods exist to measure such slow flows non-invasively in optically opaque biological tissues in vivo. Phase-contrast MRI is a velocimetry technique routinely used in the clinic to measure fast flows in biological tissues, such as blood and cerebrospinal fluid (CSF), in the order of cm/s. Use of this technique to encode slower flows is hampered by diffusion weighting and phase error introduced by gradient hardware imperfections. In this study, a new PC-MRI technique is developed using stimulated echo preparation to overcome these challenges. Flows as slow as 1 μm/s are measured and validated using controlled water flow through a pipe at 4.7 T. The error in measured flow rate obtained by integrating the measured velocity over the cross-sectional area of the pipe is less than 10%. The developed method was also able to capture slow natural convection flows appearing in liquids placed inside a horizontal bore magnet. Monitoring the 4D velocity vector field revealed that the natural convection flows decay exponentially with time. This method could be applied in future to study creeping flows, e.g. in tissue.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Natural convection; PC-MRI; Slow flows; Velocimetry

Mesh:

Substances:

Year:  2018        PMID: 30579226      PMCID: PMC6402592          DOI: 10.1016/j.jmr.2018.12.009

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  4 in total

1.  Limits to flow detection in phase contrast MRI.

Authors:  Nathan H Williamson; Michal E Komlosh; Dan Benjamini; Peter J Basser
Journal:  J Magn Reson Open       Date:  2020-07-22

2.  An MRI-based switched gradient impulse response characterization method with uniform eigenmode excitation.

Authors:  Kulam Najmudeen Magdoom; Malisa Sarntinoranont; Thomas H Mareci
Journal:  J Magn Reson       Date:  2020-03-17       Impact factor: 2.229

Review 3.  The Glymphatic System: A Review of the Challenges in Visualizing its Structure and Function with MR Imaging.

Authors:  Shinji Naganawa; Toshiaki Taoka
Journal:  Magn Reson Med Sci       Date:  2020-11-27       Impact factor: 2.760

4.  Assessing pulsatile waveforms of paravascular cerebrospinal fluid dynamics using dynamic diffusion-weighted imaging (dDWI).

Authors:  Qiuting Wen; Yunjie Tong; Xiaopeng Zhou; Mario Dzemidzic; Chang Yueh Ho; Yu-Chien Wu
Journal:  Neuroimage       Date:  2022-07-12       Impact factor: 7.400

  4 in total

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