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  AWESOME-based de-noising of complex-valued fMRI time series

Marschner, H., Huber, L., Pampel, A., & Möller, H. E. (2017). AWESOME-based de-noising of complex-valued fMRI time series. Poster presented at ISMRM 25th Annual Meeting & Exhibition, Honolulu, HI, USA.

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Marschner-ISMRM2017_final_Monitor.pdf (Publisher version), 2MB
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 Creators:
Marschner, Henrik1, Author           
Huber, Laurentius2, Author
Pampel, André1, Author           
Möller, Harald E.1, Author           
Affiliations:
1Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634558              
2Section on Functional Imaging Methods, National Institute of Mental Health, Bethesda, MD, United States, ou_persistent22              

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Free keywords: AWESOME; fMRI; Complex; De-noising
 Abstract: In this study we investigate possible benefits of an application of ‘AWESOME’ de-noising on fMRI. The application in a high-SNR finger tapping experiment showed a reduction of the already low thermal noise contribution and therefore improvement of tSNR and reduction of false positives; no adverse effects in the form of smoothing or suppression of ‘true’ activation was observed. A second investigation of the scalability of tSNR improvement on a resting state experiment with variable slice thickness / SNR showed that thermal noise can be reliably reduced and the tSNR proportionally improved without visible reduction of detail sharpness / resolution.

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Language(s): eng - English
 Dates: 2017-04
 Publication Status: Not specified
 Pages: -
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 Identifiers: -
 Degree: -

Event

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Title: ISMRM 25th Annual Meeting & Exhibition
Place of Event: Honolulu, HI, USA
Start-/End Date: 2017-04-22 - 2017-04-27
Invited: Yes

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Title: Proceedings of the International Society for Magnetic Resonance in Medicine (2017)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: 1462 Start / End Page: - Identifier: -