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Robust estimation of HDR in fMRI using H(infinity) filters
S Puthusserypady1, T Ratnarajah, Rui Jue
1Department of Electrical Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark. spu@elektro.dtu.dk
IEEE Transactions on Bio-Medical Engineering
|February 23, 2010
Summary
This study introduces H (infinity) adaptive filters for improved hemodynamic response (HDR) estimation in functional MRI (fMRI). These filters enhance HDR detection accuracy compared to traditional methods.
Area of Science:
- Neuroimaging
- Signal Processing
- Biomedical Engineering
Background:
- Accurate estimation and detection of the hemodynamic response (HDR) are crucial for functional MRI (fMRI) data analysis.
- Existing methods may have limitations in handling signal disturbances and assumptions.
Purpose of the Study:
- To propose and evaluate H (infinity) adaptive filters for HDR estimation and detection in fMRI.
- To compare the performance of these novel filters against conventional techniques.
Main Methods:
- Utilized three types of H (infinity) adaptive filters: finite memory, exponentially weighted, and time-varying.
- Employed the H (infinity) approach for its robustness against worst-case disturbances and minimal signal assumptions.
- Compared performance against the t-test, Least Mean Squares (LMS), and Recursive Least Squares (RLS) algorithms.
Main Results:
- The proposed H (infinity) adaptive filters demonstrated superior performance in HDR estimation.
- These methods achieved more accurate activation detections compared to conventional and existing adaptive algorithms.
- Extensive numerical simulations validated the effectiveness of the proposed techniques.
Conclusions:
- H (infinity) adaptive filters offer a robust and accurate approach for hemodynamic response analysis in fMRI.
- The proposed methods provide a significant advancement over traditional techniques for detecting brain activity via fMRI.
