Name
Abstract | ||
|---|---|---|
Space-time adaptive processing (STAP), previously developed in the field of sensor array processing and applied to radar signal processing, is adapted here for use in the construction of brain activation maps in functional magnetic resonance imaging (fMRI). Because STAP processes space-time data as a single spatiotemporal set, it offers potential advantage over currently available methods in providing a measure of the full spatiotemporal extent of a task-related activity. Unlike presently used fMRI techniques, STAP locates activated regions both spatially and in frequency. Computer simulations incorporating actual MRI noise indicate that it exhibits a high degree of accuracy in detecting the small signal intensity changes inherent in fMRI. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/ICIP.2002.1039144 | Image Processing. 2002. Proceedings. 2002 International Conference |
Keywords | Field | DocType |
biomedical MRI,brain,medical image processing,space-time adaptive processing,MRI noise,STAP algorithm,brain activation maps,cortical activity detection,fMRI data,functional magnetic resonance imaging,sensor array processing,space-time adaptive processing | Signal intensity,Computer vision,Functional magnetic resonance imaging,Pattern recognition,Image sensor,Computer science,Sensor array,Brain activation,Artificial intelligence,Radar signal processing,Space-time adaptive processing,Magnetic resonance imaging | Conference |
Volume | ISSN | Citations |
3 | 1522-4880 | 1 |
PageRank | References | Authors |
0.52 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elizabeth A. Thompson | 1 | 20 | 5.47 |
| S. K. Holland | 2 | 69 | 10.21 |
| Vincent Schmithorst | 3 | 3 | 1.33 |