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Erschienen in: European Radiology 8/2021

01.02.2021 | Magnetic Resonance

Fetal brain tissue characterization at 1.5 T using STrategically Acquired Gradient Echo (STAGE) imaging

verfasst von: Feifei Qu, Taotao Sun, Yongsheng Chen, Brijesh Kumar Yadav, Ling Jiang, Zhaoxia Qian, E. Mark Haacke

Erschienen in: European Radiology | Ausgabe 8/2021

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Abstract

Objectives

To estimate human fetal brain MRI tissue properties including apparent T1 (T1app) and apparent proton density (PDapp) by using a rapid multi-contrast acquisition protocol called STrategically Acquired Gradient Echo (STAGE) imaging.

Methods

STAGE data were collected using two flip angles (15° and 60°, with a TR = 600 ms) for 30 pregnant women at 1.5 T (15 healthy controls: gestational age (GA) range 19 + 1/7 weeks to 34 + 5/7 weeks; 11 abnormal subjects with ventriculomegaly: GA range 21 + 5/7 weeks to 31 + 5/7 weeks; 4 subjects with other abnormalities). Both T1app and PDapp maps of the fetal brain were calculated from the STAGE data. A region-of-interest-based approach was used to measure T1app and PDapp in the subplate/intermediate zone (SP/IZ), cortical plate (CP), and cerebrospinal fluid (CSF) in the fetal brain.

Results

The ratios of T1appSP/IZ/T1appCP and PDappSP/IZ/PDappCP were larger than unity while T1appSP/IZ/T1appCSF and PDappSP/IZ/PDappCSF were both less than unity.

Conclusions

STAGE imaging provides a potential practical approach to estimate multi-parametric properties of the human fetal brain.

Key Points

• STAGE is feasible in measuring fetal brain tissue properties.
• Water content in cortical plate and subplate/intermediate zone approaches that of cerebrospinal fluid in early gestational ages.
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Metadaten
Titel
Fetal brain tissue characterization at 1.5 T using STrategically Acquired Gradient Echo (STAGE) imaging
verfasst von
Feifei Qu
Taotao Sun
Yongsheng Chen
Brijesh Kumar Yadav
Ling Jiang
Zhaoxia Qian
E. Mark Haacke
Publikationsdatum
01.02.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
European Radiology / Ausgabe 8/2021
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-020-07618-7

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