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Improving the accuracy of cross‐relaxation imaging
Author(s) -
Stikov Nikola
Publication year - 2012
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/ima.22003
Subject(s) - relaxation (psychology) , magnetization transfer , t2 relaxation , signal (programming language) , computer science , biological system , nuclear magnetic resonance , statistical physics , biomedical engineering , materials science , computational physics , physics , magnetic resonance imaging , medicine , biology , radiology , neuroscience , programming language
Abstract Cross‐relaxation imaging (CRI) provides biomarkers sensitive to the macromolecular content of tissue. Although the CRI parameters are sufficiently precise to exhibit significant correlations with macromolecular content in tissue, their accuracy is hindered by the CRI modeling and measurement variability. In this article, several sources of CRI variability are examined, such as T 1 mapping bias, magnetization transfer signal drift, and inaccuracies due to tissue modeling. Simple corrections schemes are proposed to account for these effects and to improve the CRI accuracy. © 2012 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 22, 67–72, 2012