2014
DOI: 10.3174/ajnr.a4137
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Quantitative Susceptibility Mapping of Human Brain at 3T: A Multisite Reproducibility Study

Abstract: BACKGROUND AND PURPOSE:Quantitative susceptibility mapping of the human brain has demonstrated strong potential in examining iron deposition, which may help in investigating possible brain pathology. This study assesses the reproducibility of quantitative susceptibility mapping across different imaging sites.

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Cited by 57 publications
(62 citation statements)
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References 27 publications
(38 reference statements)
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“…As compared to previous work16171819, the main goal of this study is to see what level of variance in R2* and susceptibility measurements should be expected and tolerated given other inevitable influencing factors, as if in the cases of a large scale multi-center study.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…As compared to previous work16171819, the main goal of this study is to see what level of variance in R2* and susceptibility measurements should be expected and tolerated given other inevitable influencing factors, as if in the cases of a large scale multi-center study.…”
Section: Discussionmentioning
confidence: 99%
“…Hence the stability of the obtained quantitative R2* and susceptibility is a key issue for their widespread applications, given the fact that many factors may introduce variance to the final measurements. There have been recent attempts in investigating this issue: Lin et al 16. first investigated the longitudinal reproducibility on three different scanners; Hinoda et al 17.…”
mentioning
confidence: 99%
“…Recent work found lesser reproducibility in the measurement of susceptibility of the red nucleus and substantia nigra than the structures of the basal ganglia, using the PDF method for background field removal (Lin et al, 2014). Differences in the age dependency of substantia nigra susceptibility have also been reported between L1 and L2 regularizations (Bilgic et al, 2012).…”
Section: Discussionmentioning
confidence: 99%
“…Previous investigations that examined the reproducibility of QSM by using phantoms are now known to have 2 specific shortcomings. First, studies before 2015 used specific algorithms that performed a key dipole inversion step either without regularization, or by minimization of a linear data term with L1‐regularization, which consistently yielded moderate to severe streaking artifacts in resultant images . Subsequently developed post‐processing methods have been able to more effectively suppress these streaking artifacts, most notably by minimizing a nonlinear data fidelity term with L1‐regularization .…”
Section: Introductionmentioning
confidence: 99%