English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Meeting Abstract

Functional Quantitative Susceptibility Mapping (fQSM)

MPS-Authors
/persons/resource/persons83793

Balla,  DZ
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons83952

Hagberg,  G
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84187

Scheffler,  K
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

External Resource

https://www.ismrm.org/12/Session33.htm
(Abstract)

Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Balla, D., Sanchez-Panchuelo, R., Wharton, S., Hagberg, G., Scheffler, K., Francis, S., et al. (2012). Functional Quantitative Susceptibility Mapping (fQSM). In 20th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2012).


Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-B7C4-7
Abstract
Quantitative susceptibility mapping (QSM) was performed on fMRI time-series to reconstruct maps with activation induced local susceptibility changes. A multi-step image processing algorithm was developed for filtering out unwanted temporal and spatial signal variations. The method was validated on GE-EPI BOLD-fMRI datasets acquired at 7T with 1mm isotropic resolution during the application of visual, motor and somatosensory activation paradigms. Series of high-quality phase and susceptibility maps with minimal temporal noise were reconstructed, which resulted in activation maps corresponding to estimations from the modulus data. Functional QSM (fQSM) allows for quantification of the BOLD-effect for any time-series with phase information.