OBESITY RESEARCH Open Journal http://dx.doi.org/10.17140/OROJ-4-129 Obes Res Open J ISSN 2377-8385 Measurement of Fat Content in the Human Body by Nuclear Magnetic Resonance Methods Nikolay V. Anisimov, DSc, (Phys & Math), Senior Scientist 1 ; Mikhail V. Gulyaev, PhD, (Phys & Math), Scientist 1 ; Olga S. Pavlova, MSc, (Phys & Math), Postgraduate student 2 ; Yury A. Pirogov, DSc, (Phys & Math), Professor 2* on behalf of the LMRS MSU Study Group # # LMRS MSU is the Laboratory of Magnetic Resonance and Spectroscopy of the Lomonosov Moscow State University, Moscow, Russia 1 Department of Fundamental Medicine, Lomonosov Moscow State University, Moscow, Russia 2 Department of Physics, Lomonosov Moscow State University, Moscow, Russia * Corresponding author Yury A. Pirogov, DSc, (Phys & Math) Professor Department of Physics Lomonosov Moscow State University Moscow, Russia Tel. +79852339322 E-mail: yupi937@gmail.com Article History Received: November 30 th , 2016 Accepted: December 14 th , 2016 Published: December 14 th , 2016 Citation Anisimov NV, Gulyaev MV, Pavlova OS, Pirogov YA. Measurement of fat content in the human body by nu- clear magnetic resonance methods. Obes Res Open J. 2016; 4(1): 19-23. doi: 10.17140/OROJ-4-129 Copyright ©2016 Pirogov YA. This is an open access article distributed under the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, dis- tribution, and reproduction in any medium, provided the original work is properly cited. Volume 4 : Issue 1 Article Ref. #: 1000OROJ4129 Page 19 Research LMRS Study Group Members Principal Investigator: Alexey R. Khokhlov Contributing investigators: Nikolay V. Anisimov, Mikhail V. Gulyaev, Alexey B. Mantsyzov, Olga S. Pavlova, Valery B. Petuchov, Yury A. Pirogov, Vladimir I. Polshakov and Oleg Yu Savelev. ABSTRACT Aim: Characteristics of adipose tissue in the human body refect the specifcs of metabolism in the body, and therefore present an interest for the medical diagnostics. It is useful to apply the methods that allow to get such information non-invasively, namely with the help of high resolution nuclear magnetic resonance (NMR) spectroscopy and magnetic resonance imaging (MRI). Material and Methods: In the present study, we have implemented such techniques by using the 0.5-Tesla MRI scanner Bruker Tomikon S50. Processing MRI images was carried out using graphical tools of ImageJ software. Results: Measurements of fat content in the human body by NMR spectroscopy were carried out on the 0.5 T MRI scanners. The NMR spectra were obtained from the separate parts of the body and then combined. The peaks of water and fat were determined in this composite spec- trum. Their analysis provided information about the content of fat in the human body. To spa- tially select the scanned volume, we applied the methods of local NMR spectroscopy with the use of non-uniform (gradient) felds. We then compared spectral data with the average density of the body for each study subject, as well as with the volume of fat found from the MR images. The correlation between these parameters was established. Conclusion: There is an inverse relationship between the average body density and the fat-to- water ratios obtained from spectroscopy (IF/IW) and MRI (VF/V) data. For any person, the correlation between the real body fat percentage and the ratio of water and fat peaks from the whole-body NMR spectra takes place. KEYWORDS: Local nuclear magnetic resonance (NMR) spectroscopy; Whole body magnetic resonance imaging (MRI); Fatty tissue. ABBREVIATIONS: NMR: Nuclear Magnetic Resonance; MR: Magnetic Resonance; MRI: Magnetic Resonance Imaging; RF: Radio Frequency; T1: Spin-lattice relaxation time; T2: Spin-spin relaxation time; WI: Weighted Image; FSE: Fast Spin Echo; TR: Time of Repetition; TE: Time of Echo; ETL: Echo Train Length.