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Proceedings Paper

New methods for fMRI data processing based on locally linear embeddings
Author(s): Laurent Chaillou; Imam Samil Yetik; Miles N Wernick
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Paper Abstract

We propose a new method for analyzing fMRI (functional magnetic resonance imaging) data based on locally linear embeddings (LLE). The LLE method is useful for analyzing data when there is a local structure intrinsic to the measurements allowing for reconstruction of measurements from its neighboring points only. We develop a method to extract the underlying temporal signal in fMRI experiments based on LLE. Simulations show that improved results can be obtained under certain conditions when compared to traditional methods such as the principal component analysis (PCA) and independent component analysis (ICA) methods.

Paper Details

Date Published: 26 February 2008
PDF: 9 pages
Proc. SPIE 6814, Computational Imaging VI, 681412 (26 February 2008); doi: 10.1117/12.776453
Show Author Affiliations
Laurent Chaillou, Illinois Institute of Technology (United States)
Imam Samil Yetik, Illinois Institute of Technology (United States)
Miles N Wernick, Illinois Institute of Technology (United States)


Published in SPIE Proceedings Vol. 6814:
Computational Imaging VI
Charles A. Bouman; Eric L. Miller; Ilya Pollak, Editor(s)

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