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Published in: Magnetic Resonance Materials in Physics, Biology and Medicine 5/2014

01-10-2014 | Research Article

Automated flow quantification for spin labeling MR imaging

Authors: Taichiro Shiodera, Shuhei Nitta, Tomoyuki Takeguchi, Masao Yui, Yuichi Yamashita, Takao Yamamoto, Shinya Yamada

Published in: Magnetic Resonance Materials in Physics, Biology and Medicine | Issue 5/2014

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Abstract

Objective

The Time-Spatial Labeling Inversion Pulse (Time-SLIP) technique enables tracing of regional fluid flows without the use of contrast medium. The objective of this study is to quantify automatically slow and complex fluid flows using the Time-SLIP technique.

Materials and methods

Series images were acquired with a 1.5-T MRI scanner using the Time-SLIP technique with half-Fourier fast spin-echo (FSE) and balanced steady-state free precession (bSSFP) sequences. In this method, labeled fluid regions in images were automatically detected based on image processing techniques for a given point. The flow velocity of the labeled fluid region was calculated using regression fitting for the region’s position. To evaluate our method, constant and non-constant laminar flows in a water phantom were studied. In addition, volunteer experiments were conducted to quantify the flow of cerebrospinal fluid.

Results

In the constant flow experiments the correlation factor r 2 between the flow velocity calculated from our method and the laminar peak velocity calculated from the volumetric flow rate was 0.9992 for the FSE sequence and 0.9982 for the bSSFP sequence. In the non-constant flow study, the flow velocity was calculated accurately for any period inversion time even when the flow velocity was changed, and the quantification error was negligible. In the volunteer experiments, r 2 between the flow velocity calculated by the proposed method and that obtained by manual annotation was 0.9383.

Conclusion

The experimental results showed that our proposed method can quickly and accurately provide information on flow velocities especially for slower and complex flows. Our method is, therefore, expected to be useful in diagnostic support systems.
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Metadata
Title
Automated flow quantification for spin labeling MR imaging
Authors
Taichiro Shiodera
Shuhei Nitta
Tomoyuki Takeguchi
Masao Yui
Yuichi Yamashita
Takao Yamamoto
Shinya Yamada
Publication date
01-10-2014
Publisher
Springer Berlin Heidelberg
Published in
Magnetic Resonance Materials in Physics, Biology and Medicine / Issue 5/2014
Print ISSN: 0968-5243
Electronic ISSN: 1352-8661
DOI
https://doi.org/10.1007/s10334-013-0416-1

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