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