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On identifying micro level error in realignment phase of statistical parametric mapping
R Rajesh1, J Satheeshkumar, S Arumugaperumal
1Department of Computer Science and Engineering, Bharathiar; Coimbatorem, Tamilnadu, India - kollamrajeshr@ieee.org.
Abstract:
Statistical parametric map of an fMRI time series is used to identify the sensor, motor and cognitive tasks in the specific regions of the brain. This process of obtaining statistical parametric map includes realignment of the slices in various volume acquired during the scanning. This article presents the identification of micro level (10(-6)) error in the realignment phase.
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