Title :
Joint spatiotemporal statistical analysis of functional MRI data
Author :
Fu, Z. ; Hui, Y. ; Liang, Z.-P.
Author_Institution :
Beckman Inst. for Adv. Sci. & Technol., Illinois Univ., Urbana, IL, USA
Abstract :
This paper presents a novel method for the detection of neuronal activity-dependent signal changes in functional magnetic resonance imaging (fMRI) image sequences. In this method, wavelet analysis and statistical testing are applied jointly, enabling fMRI image sequences to be effectively analyzed in a unique spatio temporal framework. Experimental results show that this method performs significantly better than several existing methods for fMRI data with low SNR
Keywords :
biomedical MRI; brain; image sequences; medical image processing; statistical analysis; wavelet transforms; brain imaging; functional MRI data; joint spatiotemporal statistical analysis; low SNR data; magnetic resonance imaging; medical diagnostic imaging; neuronal activity-dependent signal changes detection; unique spatio temporal framework; Analysis of variance; Data analysis; Image analysis; Image sequence analysis; Image sequences; Magnetic resonance imaging; Spatiotemporal phenomena; Statistical analysis; Testing; Wavelet transforms;
Conference_Titel :
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-8186-8821-1
DOI :
10.1109/ICIP.1998.723595
