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

Volume

1

fYear

1998

fDate

4-7 Oct 1998

Firstpage

709

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on

Conference_Location

Chicago, IL

Print_ISBN

0-8186-8821-1

Type

conf

DOI

10.1109/ICIP.1998.723595

Filename

723595