DocumentCode :
1827875
Title :
Correction for desynchronization of EEG and fMRI clocks through data interpolation optimizes artifact reduction
Author :
Goncalves, S.I. ; Pouwels, P.J.W. ; Kuijer, J.P.A. ; Heethaar, R.M. ; de Munck, J.C.
Author_Institution :
VU Univ. Med. Center, Amsterdam
fYear :
2007
fDate :
22-26 Aug. 2007
Firstpage :
1590
Lastpage :
1594
Abstract :
Co-registration of EEG (Electroencephalogram)- and fMRI (functional magnetic resonance imaging) remains a challenge due to the large artifacts induced on the EEG by the MR (magnetic resonance) sequence gradient and RF pulses. We present an algorithm, based on the average-subtraction method, which is able to correct EEG data for gradient and RF pulse artifacts. We optimized artifact reduction by correcting the misalignment of EEG and fMRI data samples, resulting from the asynchronous sampling of EEG and fMRI data, through interpolation of EEG data. A clustering algorithm is proposed to account for the variability of the pulse artifact. Results show that the algorithm was able to keep the spontaneous brain activity while removing gradient and pulse artifacts with only a subtraction of selectively averaged data. Pulse artifact clustering showed that most of the variability was due to the time jitter of the pulse artifact markers. We show that artifact reduction by average-subtraction is optimized by interpolating the EEG data to correct for asynchronously sampled EEG and fMRI data.
Keywords :
biomedical MRI; electroencephalography; image registration; image sampling; interpolation; medical image processing; neurophysiology; EEG co-registration; EEG desynchronization; RF pulses; artifact reduction; average-subtraction method; data interpolation; electroencephalogram; functional MRI clocks; functional magnetic resonance imaging; pulse artifact clustering; sequence gradient; spontaneous brain activity; time jitter; Brain; Clocks; Clustering algorithms; Electroencephalography; Interpolation; Jitter; Magnetic resonance; Magnetic resonance imaging; Radio frequency; Sampling methods; Adult; Algorithms; Artifacts; Brain; Brain Mapping; Diagnosis, Computer-Assisted; Electroencephalography; Evoked Potentials; Female; Humans; Magnetic Resonance Imaging; Male; Reproducibility of Results; Sensitivity and Specificity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
ISSN :
1557-170X
Print_ISBN :
978-1-4244-0787-3
Type :
conf
DOI :
10.1109/IEMBS.2007.4352609
Filename :
4352609
Link To Document :
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