| Paper: | BIO-L1.2 |
| Session: | Medical Imaging |
| Time: | Tuesday, May 16, 16:50 - 17:10 |
| Presentation: |
Lecture
|
| Topic: |
Bio Imaging and Signal Processing: Biomedical signal processing |
| Title: |
Adaptive Filtering of fMRI Data Based on Correlation and BOLD Response Similarity |
| Authors: |
Joakim Rydell, Hans Knutsson, Magnus Borga, Linköping University, Sweden |
| Abstract: |
In analysis of fMRI data, it is common to average neighboring voxels in order to obtain robust estimates of the correlations between voxel time-series and the model of the signal expected to be present in activated regions. We have previously proposed a method where only voxels with similar correlation coefficients are averaged. In this paper we extend this idea, and present a novel method for analysis of fMRI data. In the proposed method, only voxels with similar correlation coefficients and similar time-series are averaged. The proposed method is compared to our previous method and to two well-known filtering strategies, and is shown to have superior ability to discriminate between active and inactive voxels. |