English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Poster

Estimating B0 inhomogeneities with projection FID navigator readouts

MPS-Authors
/persons/resource/persons84372

Loktyushin,  A
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons83898

Ehses,  P
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84193

Schölkopf,  B
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons84187

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

External Resource

Link
(Any fulltext)

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

Loktyushin, A., Ehses, P., Schölkopf, B., & Scheffler, K. (2017). Estimating B0 inhomogeneities with projection FID navigator readouts. Poster presented at 25th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2017), Honolulu, HI, USA.


Cite as: https://hdl.handle.net/21.11116/0000-0000-C4C1-8
Abstract
B0 field inhomogeneities can negatively impact the image acquisition process, cause artifacts such as ghosting and blurring and introduce physiological noise in fMRI time series. It is common to address the static inhomogeneity components by using shim coils. Physiological motion during the acquisition can lead to temporal variations in the field configuration. Dynamic shimming necessitates fast, real-time estimation of B0 distortions. In this work, we augment projection-encoded FID readouts with a simple projection-based spatial encoding and train a neural network to learn the mapping from projection FIDs to field maps, which we obtain using a double-echo EPI sequence.