Document Detail


Three-point Dixon method enables whole-body water and fat imaging of obese subjects.
MedLine Citation:
PMID:  20512869     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Dixon imaging techniques derive chemical shift-separated water and fat images, enabling the quantification of fat content and forming an alternative to fat suppression. Whole-body Dixon imaging is of interest in studies of obesity and the metabolic syndrome, and possibly in oncology. A three-point Dixon method is proposed where two solutions are found analytically in each voxel. The true solution is identified by a multiseed three-dimensional region-growing scheme with a dynamic path, allowing confident regions to be solved before unconfident regions, such as background noise. 2 pi-Phase unwrapping is not required. Whole-body datasets (256 x 184 x 252 voxels) were collected from 39 subjects (body mass index 19.8-45.4 kg/m(2)), in a mean scan time of 5 min 15 sec. Water and fat images were reconstructed offline, using the proposed method and two reference methods. The resulting images were subjectively graded on a four-grade scale by two radiologists, blinded to the method used. The proposed method was found superior to the reference methods. It exclusively received the two highest grades, implying that only mild reconstruction failures were found. The computation time for a whole-body dataset was 1 min 51.5 sec +/- 3.0 sec. It was concluded that whole-body water and fat imaging is feasible even for obese subjects, using the proposed method.
Authors:
Johan Berglund; Lars Johansson; Håkan Ahlström; Joel Kullberg
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine     Volume:  63     ISSN:  1522-2594     ISO Abbreviation:  Magn Reson Med     Publication Date:  2010 Jun 
Date Detail:
Created Date:  2010-05-31     Completed Date:  2010-09-23     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8505245     Medline TA:  Magn Reson Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1659-68     Citation Subset:  IM    
Copyright Information:
(c) 2010 Wiley-Liss, Inc.
Affiliation:
Department of Radiology, Uppsala University Hospital, Uppsala, Sweden. johan.berglund@radiol.uu.se
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MeSH Terms
Descriptor/Qualifier:
Adipose Tissue / radiography*
Adult
Body Mass Index
Body Water / radiography*
Female
Humans
Image Processing, Computer-Assisted* / methods
Male
Middle Aged
Monte Carlo Method
Obesity* / radiography
Reproducibility of Results
Young Adult

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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