Robust Estimation of HDR in fMRI using H∞ Filters

S. Puthusserypady*, Rui Jue, T. Ratnarajah

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

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.

Original languageEnglish
Article number5415629
Pages (from-to)1133-1142
Number of pages10
JournalIEEE Transactions on Biomedical Engineering
Issue number5
Publication statusPublished - 1 May 2010

Keywords / Materials (for Non-textual outputs)

  • Activation detection
  • Functional MRI (fMRI)
  • H filters
  • Hemodynamic response (HDR)


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