Paper published in a book (Scientific congresses and symposiums)
A comparison on the magnitude and complex-valued methods to detect the brain activation, application to functional MRI
Moallemian, Soodeh; Seyed Salman Zakariaee
2018 • In Moallemian, Soodeh; Seyed Salman Zakariaee (Eds.) A comparison on the magnitude and complex-valued methods to detect the brain activation, application to functional MRI
functional MRI; Fourier Transform; K-Space; Brain Activation; Signal Processing
Abstract :
[en] In functional MRI studies, the significant brain activation is determined using the magnitude-only time series framework after the image reconstruction. Although this method is very popular, the information of the phase part is ignored. Most recently, a novel strategy for determining the significant brain activation is proposed which considers the magnitude and phase parts of the data simultaneously. This approach affects the quality of reconstructed image and the power of the statistical tests. In this study, the significant brain activation achieved using the complex- and magnitude-valued approaches
were evaluated.
Research Center/Unit :
Neuroimaging and Analysis Group, Imam Khomeini Complex, Tehran University of Medical Sciences
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others Social & behavioral sciences, psychology: Multidisciplinary, general & others
Author, co-author :
Moallemian, Soodeh ; Université de Liège - ULiège > Département des sciences cliniques
Seyed Salman Zakariaee; Kurdistan University of Medical Sciences
Language :
English
Title :
A comparison on the magnitude and complex-valued methods to detect the brain activation, application to functional MRI
Publication date :
2018
Event name :
First International Conference on Soft Computing
Event organizer :
Guilan University
Event place :
Rudsar, Iran
Event date :
22-23 November 2017
Audience :
International
Main work title :
A comparison on the magnitude and complex-valued methods to detect the brain activation, application to functional MRI
Author, co-author :
Moallemian, Soodeh ; Université de Liège - ULiège > GIGA > GIGA CRC In vivo Imaging - Aging & Memory
