Document Detail


Chemical shift selective fat imaging using transition into driven equilibrium balanced steady-state free precession for quantification of adipose tissue.
MedLine Citation:
PMID:  19478646     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The amount and distribution of adipose tissue are important risk factors for different diseases. We present here a novel method with intrinsic water suppression (water-suppressed transition into driven equilibrium [TIDE]) and its application to healthy volunteers for fat volume and distribution evaluations. Water-suppressed TIDE revealed high image quality without artifacts, high signal-to-noise ratio of fat, and excellent suppression of water tissues, with an acquisition time of approximately 0.6 s/slice. Water-suppressed TIDE is a powerful tool for simple quantification of adipose tissue.
Authors:
Dominik Paul; Gregor Sommer; Jochen Leupold; Michael Hentschel; Tobias Baumann; Ute Ludwig
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Publication Detail:
Type:  Case Reports; Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of computer assisted tomography     Volume:  33     ISSN:  1532-3145     ISO Abbreviation:  J Comput Assist Tomogr     Publication Date:    2009 May-Jun
Date Detail:
Created Date:  2009-05-29     Completed Date:  2009-06-24     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7703942     Medline TA:  J Comput Assist Tomogr     Country:  United States    
Other Details:
Languages:  eng     Pagination:  475-80     Citation Subset:  IM    
Affiliation:
Department of Diagnostic Radiology-Medical Physics, University Hospital Freiburg, Freiburg, Germany. dominik.paul@uniklinik-freiburg.de
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MeSH Terms
Descriptor/Qualifier:
Adipose Tissue / anatomy & histology*
Algorithms*
Humans
Image Enhancement / methods
Image Interpretation, Computer-Assisted / methods*
Imaging, Three-Dimensional / methods*
Magnetic Resonance Imaging / methods*
Male
Pattern Recognition, Automated / methods*
Reproducibility of Results
Sensitivity and Specificity

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


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