DocumentCode :
2726137
Title :
Intensity / Correlation Thresholding of FMRI Data: Data-driven Regions of Interest using Bridge Voxels
Author :
Alexiuk, M.D. ; Pizzi, N.J. ; Pedrycz, W.
Author_Institution :
Inst. for Biodiagnostics, National Res. Council, Winnipeg, Man.
fYear :
2007
fDate :
1-5 April 2007
Firstpage :
194
Lastpage :
197
Abstract :
Analysis of functional magnetic resonance imaging data considers temporal correlation of hemodynamic intensity patterns to a known activation paradigm as well as spatial regions of similar responses. Default regions of interest are often obtained by analyst-directed thresholding of intensity or correlation values. This paper presents a method to determine data-driven regions of interest using image erosion to identify structurally significant components in the default regions, namely bridge voxels
Keywords :
biomedical MRI; feature extraction; haemodynamics; medical image processing; bridge voxels; correlation thresholding; fMRI data; functional magnetic resonance imaging data; hemodynamic intensity patterns; image erosion; intensity thresholding; spatial region; temporal correlation; Biomedical signal processing; Blood flow; Bridges; Clustering algorithms; Computational intelligence; Councils; Hemodynamics; Magnetic resonance imaging; Robustness; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Image and Signal Processing, 2007. CIISP 2007. IEEE Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0707-9
Type :
conf
DOI :
10.1109/CIISP.2007.369316
Filename :
4221417
Link To Document :
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