Abstract #3665
Triglyceride content and fatty acid composition in mice: quantification with 7.0T MRI
Benjamin Leporq 1 , Simon Auguste Lambert 1,2 , Francois Cauchy 1,3 , Imane Boucenna 4 , Pierre Colinart 4 , Maxime Ronot 1,5 , Valerie Vilgrain 1,5 , Valerie Paradis 1,6 , and Bernard Edgar Van Beers 1,5
1
Center of research on inflammation, Paris 7
University; INSERM U1044, Paris, France,
2
BHF
Centre of Excellence, Division of Imaging Sciences and
Biomedical Engineering, Kings College London Kings
Health Partners, St. Thomas Hospital, London, United
Kingdom,
3
Department
of HPB and liver transplantation, Beaujon University
hospital Paris Nord, Clichy, France,
4
Matire
et systmes complexes, Paris 7 University; CNRS UMR
7057, Paris, France,
5
Department of Radiology,
Beaujon University hospital Paris Nord, Clichy, France,
6
Department
of Pathology, Beaujon University hospital Paris Nord,
Clichy, France
This work report a MRI method able to quantify both fat
content and fatty acid composition on preclinical
systems at 7.0T. MR acquisition was based on a spoiled
multiple gradient echoes sequence with bipolar readout
gradient. After phase unwrapping, complex images were
rebuilt. By using a model including water and eight fat
resonances each expressed according to ndb, nmidb and
CL, parametric images such as PDFF, SFA, MUFA and PUFA
were reconstructed. Results suggest that it possible to
follow diet effects on fat content and fatty acid
compositions in mice with this method.
This abstract and the presentation materials are available to members only;
a login is required.
Join Here
