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Elimination of k-space spikes in fMRI data

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons84137

de Moortele P-FV, Pfeuffer,  J
Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Zitation

Zhang, X., de Moortele P-FV, Pfeuffer, J., & Hu, X. (2001). Elimination of k-space spikes in fMRI data. Magnetic Resonance Imaging, 19, 1037-1041. Retrieved from http://www.sciencedirect.com/science?_ob=ArticleURL_udi=B6T9D-4447MTG-J_coverDate=092F302F2001_alid=71518208_rdoc=1_fmt=_orig=search_qd=1_cdi=5112_sort=d_acct=C000003178_version=1_urlVersion=0_userid=29041md5=dac71bdda3ab5caa09fa155a7d95f2.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-E32A-D
Zusammenfassung
The subtle signal changes in functional magnetic resonance imaging (fMRI) can be easily overwhelmed by noise of various origins. Spikes in the collected fMRI raw data often arise from high-duty usage of the scanner hardware and can introduce significant noise in the image and thereby in the image time series. Consequently, the spikes will corrupt the functional data and degrade the result of functional mapping. In this work, a simple method based on processing the time course of the k-space data are introduced and implemented to remove the spikes in the acquired data. Application of the method to experimental data shows that the methods are robust and effective for eliminating of spike-related noise in fMRI time series.