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Characterization of Brown Adipose Tissue by water-fat separated Magnetic Resonance Imaging
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology. Linköping University, Center for Medical Image Science and Visualization (CMIV).
Linköping University, Department of Clinical and Experimental Medicine, Division of Cell Biology. Linköping University, Faculty of Medicine and Health Sciences.
Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Faculty of Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV). Region Östergötland, Center for Surgery, Orthopaedics and Cancer Treatment, Department of Radiation Physics.
Göteborgs universitet.
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2015 (English)In: Journal of Magnetic Resonance Imaging, ISSN 1053-1807, E-ISSN 1522-2586, Vol. 42, no 6, 1639-1645 p.Article in journal (Refereed) Published
Abstract [en]

Purpose: To evaluate the possibility of quantifying brown adipose tissue (BAT) volume and fat concentration with a high resolution, long TE, dual-echo Dixon imaging protocol.

Materials and methods: A 0.42 mm isotropic resolution water-fat separated MRI protocol was implemented by utilizing the second opposite-phase echo and third in-phase echo. Fat images were calibrated with regard to the intensity of nearby white adipose tissue (WAT) to form relative fat content (RFC) images. To evaluate the ability to measure BAT volume and RFC contrast dynamics, rats were divided into two groups that were kept at 4° or 22° C for five days. The rats were then scanned in a 70 cm bore 3.0 T MRI scanner and a human dual energy CT. Interscapular, paraaortal and perirenal BAT (i/pa/pr-BAT) depots as well as WAT and muscle were segmented in the MRI and CT images. Biopsies were collected from the identified BAT depots.

Results: The biopsies confirmed that the three depots identified with the RFC images consisted of BAT. There was a significant linear correlation (p <0.001) between the measured RFC and the Hounsfield units from DECT. Significantly lower iBAT RFC (p = 0.0064) and significantly larger iBAT and prBAT volumes (p=0.0017) were observed in the cold stimulated rats.

Conclusions: The calibrated Dixon images with RFC scaling can depict BAT and be used to measure differences in volume, and fat concentration, induced by cold stimulation. The high correlation between RFC and HU suggests that the fat concentration is the main RFC image contrast mechanism.

Place, publisher, year, edition, pages
John Wiley & Sons, 2015. Vol. 42, no 6, 1639-1645 p.
Keyword [en]
Brown Adipose Tissue; BAT; Fat Water MRI
National Category
Medical Image Processing Radiology, Nuclear Medicine and Medical Imaging
URN: urn:nbn:se:liu:diva-116931DOI: 10.1002/jmri.24931ISI: 000368258100020OAI: diva2:801651
Knowledge Foundation, 2011.0059
Available from: 2015-04-09 Created: 2015-04-09 Last updated: 2016-03-24

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Romu, ThobiasElander, LouiseDahlqvist Leinhard, OlofPersson, AndersBorga, Magnus
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Medical InformaticsThe Institute of TechnologyCenter for Medical Image Science and Visualization (CMIV)Division of Cell BiologyFaculty of Medicine and Health SciencesDivision of Radiological SciencesFaculty of Health SciencesDepartment of Radiation PhysicsDepartment of Radiology in LinköpingFaculty of Science & Engineering
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Journal of Magnetic Resonance Imaging
Medical Image ProcessingRadiology, Nuclear Medicine and Medical Imaging

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