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Erschienen in: Japanese Journal of Radiology 1/2017

02.11.2016 | Original Article

Can we shorten the q-space imaging to make it clinically feasible?

verfasst von: Koji Sakai, Kei Yamada, Kentaro Akazawa, Jun Tazoe, Masashi Yasuike, Hitomi Nagano, Hiroyasu Ikeno, Toshiaki Nakagawa

Erschienen in: Japanese Journal of Radiology | Ausgabe 1/2017

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Abstract

Purpose

Q-space imaging (QSI) is a novel magnetic resonance imaging (MRI) technique that enables assessment of micro-structural changes of white matter. The acquisition time, however, is comparatively long to use for routine clinical assessment. Therefore, the present study investigated the clinically feasible b value combinations to measure the water molecular displacement probability density function (PDF) in healthy subjects.

Methods

The subjects consisted of five healthy volunteers (1 female and 4 male; 40.8 ± 13.2 years). All MRIs were examined at 1.5 T. The QSI was acquired using a single-shot echo-planar imaging and Δ/δ = 142/17 ms. The magnitude of the gradients was incremented in nine steps to reach a maximal b = 10,000 s/mm2. The total acquisition time of this original QSI was 17.4 min. The feasibility of ten alternative b value combinations with the zero-filling or curve fitting technique was assessed. The mean diffusivities (MDs), kurtosis, and zero displacement probability (ZDP) were obtained, and these results were compared in manually segmented regions of interest.

Results

There were alternative b value combinations with a 7.5-min acquisition time and with almost the same PDF.

Conclusion

A few alternative b value combinations with the curve fitting technique were found to be able to shorten the QSI acquisition for its clinical feasibility of MD and ZDP.
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Metadaten
Titel
Can we shorten the q-space imaging to make it clinically feasible?
verfasst von
Koji Sakai
Kei Yamada
Kentaro Akazawa
Jun Tazoe
Masashi Yasuike
Hitomi Nagano
Hiroyasu Ikeno
Toshiaki Nakagawa
Publikationsdatum
02.11.2016
Verlag
Springer Japan
Erschienen in
Japanese Journal of Radiology / Ausgabe 1/2017
Print ISSN: 1867-1071
Elektronische ISSN: 1867-108X
DOI
https://doi.org/10.1007/s11604-016-0593-8

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