Improving the Performance of ICA Algorithm for fMRI Simulated Data Analysis Using Temporal and Spatial Filters in the Preprocessing Phase

Introduction: The accuracy of analyzing Functional MRI (fMRI) data is usually decreases in the presence of noise and artifact sources. A common solution in for analyzing fMRI data having high noise is to use suitable preprocessing methods with the aim of data denoising. Some effects of preprocessing...

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Bibliographic Details
Main Authors: A. Boroomand, A. Ahmadian, M.A. Oghabian
Format: Article
Language:English
Published: Mashhad University of Medical Sciences 2007-06-01
Series:Iranian Journal of Medical Physics
Subjects:
Online Access:http://ijmp.mums.ac.ir/article_7695_9308141274633699d4d8cb1ab79afb3c.pdf