Name
Abstract | ||
|---|---|---|
In this paper, we proposed a noise-reduction method for functional magnetic resonance imaging (fMRI). We classified noise into structured and unstructured ones. Canonical correlation analysis was exploited to extract the underlying components among which the structured ones were recognised. Furtherly, The task-related components were detected among the structured ones by using surrogate test based on reduced autoregression model. The low degree of temporal correlation of the unstructured residuals was reduced by using randomization technique. The task-related components and the randomly permuted unstructured residuals were used to generate the reconstructed data. With application of our method, SNR of data can be significantly improved. In addition, the temporal correlation of unstructured background noise can be efficiently reduced. Twenty sets of true fMRI data for finger tapping task were processed. Some task-related areas which cannot be detected from the original data set were discerned. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/JSTSP.2008.2008495 | J. Sel. Topics Signal Processing |
Keywords | Field | DocType |
unstructured background noise,randomization technique,brain mapping,randomization,signal to noise ratio,image denoising,image reconstruction,autoregressive processes,magnetic resonance imaging,feature extraction,noise reduction,surrogate test,temporal correlation,biomedical mri,correlation,canonical correlation analysis (cca),task-related components,finger tapping task,functional mri noise reduction,canonical correlation analysis,reduced autoregression model,correlation methods,medical image processing,autoregressive model | Iterative reconstruction,Noise reduction,Autoregressive model,Background noise,Pattern recognition,Computer science,Canonical correlation,Signal-to-noise ratio,Feature extraction,Correlation,Artificial intelligence | Journal |
Volume | Issue | ISSN |
2 | 6 | 1932-4553 |
Citations | PageRank | References |
1 | 0.38 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yadong Liu | 1 | 105 | 14.04 |
| Dewen Hu | 2 | 1290 | 101.20 |
| Zongtan Zhou | 3 | 412 | 33.89 |
| Hui Shen | 4 | 1 | 0.38 |
| Xiang Wang | 5 | 1 | 0.38 |