DocumentCode :
2341219
Title :
Analysis of a Phase Spectrum Method for fMRI Time Series Via the Hilbert Transform
Author :
Zhang, Jiang ; Chen, Huafu ; Wang, Danhui ; Tang, DongMing
Author_Institution :
Sch. of Life Sci. & Technol., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2010
fDate :
23-25 April 2010
Firstpage :
1
Lastpage :
4
Abstract :
A phase spectrum (PS) method is presented to identify brain functional activation areas via using the phase information of functional magnetic resonance imaging (fMRI) time series. The basic idea is that the phase at the characteristic frequency of fMRI signal is specified as brain activation index. The developed phase approach is tested and confirmed by the result from both simulation and in vivo fMRI data.
Keywords :
Hilbert transforms; biomedical MRI; medical image processing; spectral analysis; time series; Hilbert transform; brain activation index; brain functional activation identification; fMRI time series; functional magnetic resonance imaging; phase spectrum analysis method; Fourier transforms; Frequency; Hemodynamics; Hilbert space; Information analysis; Magnetic resonance imaging; Shape; Signal analysis; Support vector machines; Time series analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Computer Science (ICBECS), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5315-3
Type :
conf
DOI :
10.1109/ICBECS.2010.5462481
Filename :
5462481
Link To Document :
بازگشت