A study on the postprocessing of functional MRI using overcomplete wavelet transform

Author

So, Woon-Young ; Jeong, Dong-Seok

Author_Institution

Dept. of Electron. Eng., Inha Univ., Inchon, South Korea

Volume

2

fYear

1999

fDate

36495

Firstpage

1174

Abstract

Presents a new algorithm for detecting activity-dependent signal changes in Functional Magnetic Resonance Imaging (FMRI) image sequences. In this paper, 3-D Multi-Resolution Analysis (MRA) using Overcomplete Wavelet Transform (OWT) is proposed. It is like temporal wavelet thresholding in 1-D MRA, spatial wavelet domain filtering in 2-D MRA and Region Of Interest (ROI) analysis. Reconstructed images by the inverse wavelet transform are tested with Statistical Parametric Mapping (SPM). The results of extensive tests have shown that the proposed algorithm is reliable in both high SNR and low SNR image sequences

Keywords

biomedical MRI; brain; image reconstruction; image resolution; image sequences; medical image processing; wavelet transforms; 1-D MRA; 2-D MRA; activity-dependent signal changes detection; algorithm; functional MRI postprocessing; functional magnetic resonance imaging image sequences; high SNR image sequences; inverse wavelet transform; low SNR image sequences; medical diagnostic imaging; overcomplete wavelet transform; reconstructed images; region of interest analysis; spatial wavelet domain filtering; statistical parametric mapping; temporal wavelet thresholding; Image sequences; Magnetic analysis; Magnetic resonance imaging; Magnetic separation; Multiresolution analysis; Signal detection; Testing; Wavelet analysis; Wavelet domain; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 99. Proceedings of the IEEE Region 10 Conference

Conference_Location

Cheju Island

Print_ISBN

0-7803-5739-6

Type

conf

DOI

10.1109/TENCON.1999.818635

Filename

818635