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High resolution, high-throughput magnetic resonance imaging of mouse embryonic anatomy using a fast gradient-echo sequence

Abstract:
Embryonic development in normal and genetically modified mice is commonly analysed by histological sectioning. This procedure is time-consuming, prone to artefact, and results in the loss of three-dimensional (3D) information. Magnetic resonance imaging (MRI) of embryos has the potential of non-invasively acquiring a complete 3D data set. Published methods have used spin-echo techniques with inherently high signal-to-noise ratio (SNR); however, they required either perfusion of the embryo with a contrast agent, or prolonged acquisition times to improve contrast and resolution. Here, we show that a standard preparation (i.e. paraformaldehyde fixation) of 15.5 days post-coitum embryos followed by MRI using a fast gradient-echo sequence with T 1-weighting achieves high resolution and high throughput for investigating mouse embryonic anatomy. 3D data sets were acquired in overnight experiments (<9 h) with an experimental resolution of approximately 25 μM3. This spatial resolution is twofold higher than the values reported previously for comparable paraformaldehyde-fixed embryos, and it was obtained in less than a quarter of the time with sufficient SNR. Our approach combines speed, high resolution and contrast with a simple preparation technique and minimal operator time (<1 h). It allows rapid routine 3D characterisation of normal and abnormal mouse embryonic anatomy.

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Publisher copy:
10.1007/s10334-003-0002-z

Authors

More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Physiology Anatomy & Genetics
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
RDM
Sub department:
RDM Cardiovascular Medicine
Role:
Author


Journal:
Magnetic Resonance Materials in Physics, Biology and Medicine More from this journal
Volume:
16
Issue:
1
Pages:
43-51
Publication date:
2003-02-01
DOI:
EISSN:
1352-8661
ISSN:
0968-5243


Language:
English
Keywords:
Pubs id:
pubs:105999
UUID:
uuid:ee4a71ec-1f6b-4f41-9fe1-7b18ba65fb5f
Local pid:
pubs:105999
Source identifiers:
105999
Deposit date:
2012-12-19
ARK identifier:

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