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Proceedings Paper

Detection of neural activity in event-related fMRI using wavelets and dynamic time warping
Author(s): Hansang Cho; George A. Ojemann; David Corina; Linda G. Shapiro
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Paper Abstract

In this paper, a method tha combines maximal overlapped discrete wavelet transforms (MODWT) and dynamic time warping (DTW) is presented as a solution for dynamically detecting the hemodynamic response (HR). The MODWT is very effective in extracting only hemodynamic response portions from original signal without any shape distortion. The DTW is desirable for finding various shapes of hemodynamic responses dynamically. The DTW finds the optimal path with minimum cost between the reference signal and the reconstructed input signals by warping the signals in time domain to try to fit the reference. The MODWT-DTW method was evaluated using both simulated and experimental fMRI data. Simulations required identification of 500 synthetically generated hemodynamic responses and 500 randomly generated signals. To access the performance, receiver operating characteristic (ROC) curves were produced. The results indicate better performance for the MODWT-DWT approach compared to the more standard simple correlation methods. Finally, the MODWT-DWT procedure was used to characterize an fMRI data set with good correspondences between solutions derived from statistical parametric mapping techniques.

Paper Details

Date Published: 19 November 2003
PDF: 10 pages
Proc. SPIE 5203, Applications of Digital Image Processing XXVI, (19 November 2003); doi: 10.1117/12.504845
Show Author Affiliations
Hansang Cho, Univ. of Washington (United States)
George A. Ojemann, Univ. of Washington (United States)
David Corina, Univ. of Washington (United States)
Linda G. Shapiro, Univ. of Washington (United States)

Published in SPIE Proceedings Vol. 5203:
Applications of Digital Image Processing XXVI
Andrew G. Tescher, Editor(s)

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