Quantitative susceptibility mapping: Report from the 2016 reconstruction challenge


Journal article


C. Langkammer, F. Schweser, K. Shmueli, C. Kames, Xu Li, Li Guo, C. Milovic, Jinsuh Kim, Hongjiang Wei, K. Bredies, S. Buch, Yihao Guo, Zhe Liu, J. Meineke, Alexander Rauscher, J. Marques, B. Bilgiç
Magnetic Resonance in Medicine, 2017

Semantic Scholar DOI PubMed
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APA   Click to copy
Langkammer, C., Schweser, F., Shmueli, K., Kames, C., Li, X., Guo, L., … Bilgiç, B. (2017). Quantitative susceptibility mapping: Report from the 2016 reconstruction challenge. Magnetic Resonance in Medicine.


Chicago/Turabian   Click to copy
Langkammer, C., F. Schweser, K. Shmueli, C. Kames, Xu Li, Li Guo, C. Milovic, et al. “Quantitative Susceptibility Mapping: Report from the 2016 Reconstruction Challenge.” Magnetic Resonance in Medicine (2017).


MLA   Click to copy
Langkammer, C., et al. “Quantitative Susceptibility Mapping: Report from the 2016 Reconstruction Challenge.” Magnetic Resonance in Medicine, 2017.


BibTeX   Click to copy

@article{c2017a,
  title = {Quantitative susceptibility mapping: Report from the 2016 reconstruction challenge},
  year = {2017},
  journal = {Magnetic Resonance in Medicine},
  author = {Langkammer, C. and Schweser, F. and Shmueli, K. and Kames, C. and Li, Xu and Guo, Li and Milovic, C. and Kim, Jinsuh and Wei, Hongjiang and Bredies, K. and Buch, S. and Guo, Yihao and Liu, Zhe and Meineke, J. and Rauscher, Alexander and Marques, J. and Bilgiç, B.}
}

Abstract

The aim of the 2016 quantitative susceptibility mapping (QSM) reconstruction challenge was to test the ability of various QSM algorithms to recover the underlying susceptibility from phase data faithfully.





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