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Robust Estimation of HDR in fMRI using H^\infty Filters

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3 Author(s)
Puthusserypady, S. ; Dept. of Electr. Eng., Tech. Univ. of Denmark, Lyngby, Denmark ; Rui Jue ; Ratnarajah, T.

Estimation and detection of the hemodynamic response (HDR) are of great importance in functional MRI (fMRI) data analysis. In this paper, we propose the use of three H adaptive filters (finite memory, exponentially weighted, and time-varying) for accurate estimation and detection of the HDR. The H approach is used because it safeguards against the worst case disturbances and makes no assumptions on the (statistical) nature of the signals [B. Hassibi and T. Kailath, in Proc. ICASSP, 1995, vol. 2, pp. 949-952; T. Ratnarajah and S. Puthusserypady, in Proc. 8th IEEE Workshop DSP, 1998, pp. 1483-1487]. Performances of the proposed techniques are compared to the conventional t-test method as well as the well-known LMSs and recursive least squares algorithms. Extensive numerical simulations show that the proposed methods result in better HDR estimations and activation detections.

Published in:

Biomedical Engineering, IEEE Transactions on  (Volume:57 ,  Issue: 5 )

Date of Publication:

May 2010

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