Literature DB >> 27226976

Fat-water MRI of a diet-induced obesity mouse model at 15.2T.

Henry H Ong1, Corey D Webb2, Marnie L Gruen2, Alyssa H Hasty2, John C Gore3, E Brian Welch1.   

Abstract

Quantitative fat-water MRI (FWMRI) methods provide valuable information about the distribution, volume, and composition of adipose tissue (AT). Ultra high field FWMRI of animal models may have the potential to provide insights into the progression of obesity and its comorbidities. Here, we present quantitative FWMRI with all known confounder corrections on a 15.2T preclinical scanner for noninvasive in vivo monitoring of an established diet-induced obesity mouse model. Male C57BL/6J mice were placed on a low-fat (LFD) or a high-fat diet (HFD). Three-dimensional (3-D) multiple gradient echo MRI at 15.2T was performed at baseline, 4, 8, 12, and 16 weeks after diet onset. A 3-D fat-water separation algorithm and additional processing were used to generate proton-density fat fraction (PDFF), local magnetic field offset, and [Formula: see text] maps. We examined these parameters in perirenal AT ROIs from LFD and HFD mice. The data suggest that PDFF, local field offset, and [Formula: see text] have different time course behaviors between LFD and HFD mice over 16 weeks. This work suggests FWMRI at 15.2T may be a useful tool for longitudinal studies of adiposity due to the advantages of ultra high field although further investigation is needed to understand the observed time course behavior.

Entities:  

Keywords:  MRI; adipose tissue; fat quantification; inflammation; iron; mouse; obesity

Year:  2016        PMID: 27226976      PMCID: PMC4877437          DOI: 10.1117/1.JMI.3.2.026002

Source DB:  PubMed          Journal:  J Med Imaging (Bellingham)        ISSN: 2329-4302


  54 in total

Review 1.  Ultrahigh field magnetic resonance imaging and spectroscopy.

Authors:  Kâmil Uğurbil; Gregor Adriany; Peter Andersen; Wei Chen; Michael Garwood; Rolf Gruetter; Pierre-Gil Henry; Seong-Gi Kim; Haiying Lieu; Ivan Tkac; Tommy Vaughan; Pierre-Francoise Van De Moortele; Essa Yacoub; Xiao-Hong Zhu
Journal:  Magn Reson Imaging       Date:  2003-12       Impact factor: 2.546

2.  High-field MRI of brain cortical substructure based on signal phase.

Authors:  Jeff H Duyn; Peter van Gelderen; Tie-Qiang Li; Jacco A de Zwart; Alan P Koretsky; Masaki Fukunaga
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-22       Impact factor: 11.205

3.  Fat quantification with IDEAL gradient echo imaging: correction of bias from T(1) and noise.

Authors:  Chia-Ying Liu; Charles A McKenzie; Huanzhou Yu; Jean H Brittain; Scott B Reeder
Journal:  Magn Reson Med       Date:  2007-08       Impact factor: 4.668

4.  Automated assessment of whole-body adipose tissue depots from continuously moving bed MRI: a feasibility study.

Authors:  Joel Kullberg; Lars Johansson; Håkan Ahlström; Frederic Courivaud; Peter Koken; Holger Eggers; Peter Börnert
Journal:  J Magn Reson Imaging       Date:  2009-07       Impact factor: 4.813

5.  Morphology enabled dipole inversion (MEDI) from a single-angle acquisition: comparison with COSMOS in human brain imaging.

Authors:  Tian Liu; Jing Liu; Ludovic de Rochefort; Pascal Spincemaille; Ildar Khalidov; James Robert Ledoux; Yi Wang
Journal:  Magn Reson Med       Date:  2011-04-04       Impact factor: 4.668

6.  Identification of brown adipose tissue in mice with fat-water IDEAL-MRI.

Authors:  Houchun H Hu; Daniel L Smith; Krishna S Nayak; Michael I Goran; Tim R Nagy
Journal:  J Magn Reson Imaging       Date:  2010-05       Impact factor: 4.813

Review 7.  A decade of progress in adipose tissue macrophage biology.

Authors:  Andrea A Hill; W Reid Bolus; Alyssa H Hasty
Journal:  Immunol Rev       Date:  2014-11       Impact factor: 12.988

8.  T1 independent, T2* corrected MRI with accurate spectral modeling for quantification of fat: validation in a fat-water-SPIO phantom.

Authors:  Catherine D G Hines; Huanzhou Yu; Ann Shimakawa; Charles A McKenzie; Jean H Brittain; Scott B Reeder
Journal:  J Magn Reson Imaging       Date:  2009-11       Impact factor: 4.813

9.  Susceptibility contrast in high field MRI of human brain as a function of tissue iron content.

Authors:  Bing Yao; Tie-Qiang Li; Peter van Gelderen; Karin Shmueli; Jacco A de Zwart; Jeff H Duyn
Journal:  Neuroimage       Date:  2008-11-05       Impact factor: 6.556

Review 10.  Animal models and high field imaging and spectroscopy.

Authors:  Gülin Öz; Ivan Tkáč; Kamil Uğurbil
Journal:  Dialogues Clin Neurosci       Date:  2013-09       Impact factor: 5.986

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.