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Method for quantification of low flow velocities by magnetic resonance phase imaging.

Ståhlberg, F. LU ; Nordell, B. ; Ericsson, A. LU ; Bergstrand, G. ; Greitz, T. ; Persson, B. LU orcid and Sperber, G. (1986) In Acta Radiologica. Supplementum 369. p.486-489
Abstract

The aim of this study was to compare the influence of flow in the velocity range 0 to 25 mm/s on modulus, phase, real and imaginary images obtained with a standard magnetic resonance scanner (Siemens Magnetom, 0.5 T), and to develop a simple method for determination of flow velocities in vivo from this information. Using a flow phantom, the flow dependent magnetic resonance imaging (MRI) signal has been studied as a function of flow perpendicular to the image slice with non-doped water (simulating moving cerebrospinal fluid) as well as with water doped with Mn2+ (simulating moving blood) for each of the four mentioned image types. The results show a marked flow dependence on all types of images studied. The variation of the signal with... (More)

The aim of this study was to compare the influence of flow in the velocity range 0 to 25 mm/s on modulus, phase, real and imaginary images obtained with a standard magnetic resonance scanner (Siemens Magnetom, 0.5 T), and to develop a simple method for determination of flow velocities in vivo from this information. Using a flow phantom, the flow dependent magnetic resonance imaging (MRI) signal has been studied as a function of flow perpendicular to the image slice with non-doped water (simulating moving cerebrospinal fluid) as well as with water doped with Mn2+ (simulating moving blood) for each of the four mentioned image types. The results show a marked flow dependence on all types of images studied. The variation of the signal with flow in the modulus images is relaxation-time dependent in the studied velocity range and it is non-monotone for non-doped water. In the phase images, however, the variations are monotone and not dependent on relaxation times. In modulus images the curve shape is relatively independent on flow direction, while phase images are clearly dependent on flow direction in the studied velocity range. The signal versus velocity curves for the real and imaginary images show resemblance to those for the modulus and the phase images, respectively. It is concluded that the phase information can be used to generate a signal versus velocity calibration curve, which can be used to quantify low flow velocities in vivo.

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author
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organization
publishing date
type
Contribution to journal
publication status
published
in
Acta Radiologica. Supplementum
volume
369
pages
4 pages
publisher
Blackwell Publishing
external identifiers
  • scopus:0022821316
  • pmid:2980535
ISSN
0365-5954
language
English
LU publication?
yes
id
2bbd4201-e9cf-4299-a852-d6b39ab6ccce
date added to LUP
2020-05-07 21:19:04
date last changed
2024-01-02 10:38:44
@article{2bbd4201-e9cf-4299-a852-d6b39ab6ccce,
  abstract     = {{<p>The aim of this study was to compare the influence of flow in the velocity range 0 to 25 mm/s on modulus, phase, real and imaginary images obtained with a standard magnetic resonance scanner (Siemens Magnetom, 0.5 T), and to develop a simple method for determination of flow velocities in vivo from this information. Using a flow phantom, the flow dependent magnetic resonance imaging (MRI) signal has been studied as a function of flow perpendicular to the image slice with non-doped water (simulating moving cerebrospinal fluid) as well as with water doped with Mn2+ (simulating moving blood) for each of the four mentioned image types. The results show a marked flow dependence on all types of images studied. The variation of the signal with flow in the modulus images is relaxation-time dependent in the studied velocity range and it is non-monotone for non-doped water. In the phase images, however, the variations are monotone and not dependent on relaxation times. In modulus images the curve shape is relatively independent on flow direction, while phase images are clearly dependent on flow direction in the studied velocity range. The signal versus velocity curves for the real and imaginary images show resemblance to those for the modulus and the phase images, respectively. It is concluded that the phase information can be used to generate a signal versus velocity calibration curve, which can be used to quantify low flow velocities in vivo.</p>}},
  author       = {{Ståhlberg, F. and Nordell, B. and Ericsson, A. and Bergstrand, G. and Greitz, T. and Persson, B. and Sperber, G.}},
  issn         = {{0365-5954}},
  language     = {{eng}},
  month        = {{01}},
  pages        = {{486--489}},
  publisher    = {{Blackwell Publishing}},
  series       = {{Acta Radiologica. Supplementum}},
  title        = {{Method for quantification of low flow velocities by magnetic resonance phase imaging.}},
  volume       = {{369}},
  year         = {{1986}},
}