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Sensors 2014, 14(10), 18526-18542; doi:10.3390/s141018526

Correlation of X-Ray Computed Tomography with Quantitative Nuclear Magnetic Resonance Methods for Pre-Clinical Measurement of Adipose and Lean Tissues in Living Mice

1
Department of Chemistry and Biochemistry, 236 Nieuwland Science Hall, University of Notre Dame, Notre Dame, IN 46556, USA
2
Harper Cancer Research Institute, A200 Harper Hall, University of Notre Dame, South Bend, IN 46617, USA
3
Department of Biological Sciences, Galvin Life Sciences Center, University of Notre Dame, Notre Dame, IN 46556, USA
4
Notre Dame Integrated Imaging Facility, 416c Main Building, University of Notre Dame, Notre Dame, IN 46556, USA
5
Department of Nutritional Science and Toxicology, 119 Morgan Hall #3104, University of California, Berkeley, CA 94720, USA
*
Author to whom correspondence should be addressed.
Received: 23 May 2014 / Revised: 30 July 2014 / Accepted: 15 August 2014 / Published: 8 October 2014
(This article belongs to the Special Issue Biomedical Sensors and Systems)
View Full-Text   |   Download PDF [1075 KB, uploaded 8 October 2014]   |  

Abstract

Numerous obesity studies have coupled murine models with non-invasive methods to quantify body composition in longitudinal experiments, including X-ray computed tomography (CT) or quantitative nuclear magnetic resonance (QMR). Both microCT and QMR have been separately validated with invasive techniques of adipose tissue quantification, like post-mortem fat extraction and measurement. Here we report a head-to-head study of both protocols using oil phantoms and mouse populations to determine the parameters that best align CT data with that from QMR. First, an in vitro analysis of oil/water mixtures was used to calibrate and assess the overall accuracy of microCT vs. QMR data. Next, experiments were conducted with two cohorts of living mice (either homogenous or heterogeneous by sex, age and genetic backgrounds) to assess the microCT imaging technique for adipose tissue segmentation and quantification relative to QMR. Adipose mass values were obtained from microCT data with three different resolutions, after which the data were analyzed with different filter and segmentation settings. Strong linearity was noted between the adipose mass values obtained with microCT and QMR, with optimal parameters and scan conditions reported herein. Lean tissue (muscle, internal organs) was also segmented and quantified using the microCT method relative to the analogous QMR values. Overall, the rigorous calibration and validation of the microCT method for murine body composition, relative to QMR, ensures its validity for segmentation, quantification and visualization of both adipose and lean tissues. View Full-Text
Keywords: X-ray CT; microCT; computed tomography; QMR; quantitative magnetic resonance; adipose tissue; body composition; obesity X-ray CT; microCT; computed tomography; QMR; quantitative magnetic resonance; adipose tissue; body composition; obesity
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Metzinger, M.N.; Miramontes, B.; Zhou, P.; Liu, Y.; Chapman, S.; Sun, L.; Sasser, T.A.; Duffield, G.E.; Stack, M.S.; Leevy, W.M. Correlation of X-Ray Computed Tomography with Quantitative Nuclear Magnetic Resonance Methods for Pre-Clinical Measurement of Adipose and Lean Tissues in Living Mice. Sensors 2014, 14, 18526-18542.

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