DocumentCode :
2805974
Title :
Performance evaluation of accelerated functional MRI acquisition using compressed sensing
Author :
Jung, Hong ; Ye, Jong Chul
Author_Institution :
Dept. of Bio & Brain Eng., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea
fYear :
2009
fDate :
June 28 2009-July 1 2009
Firstpage :
702
Lastpage :
705
Abstract :
Functional MRI (fMRI) has been widely accepted as a standard tool to study the function of brain. However, because of the limited temporal resolution of MR scanning, researchers have experienced difficulties in various event related cognitive studies which usually require higher temporal resolution than the current acquisition protocol. Even if several accelerated fMRI methods have been proposed to overcome the limited temporal resolution, the results have not been widely accepted since there were concerns whether the result came from blood oxygen level-dependent (BOLD) signal or artifacts due to down sampling. The main contribution of this paper is to propose a new high spatio-temporal resolution fMRI technique based on compressed sensing theory and to justify the performance using receiver operating characteristic (ROC) curve.
Keywords :
biomedical MRI; brain; cognition; image resolution; medical image processing; neurophysiology; MR scanning; accelerated functional MRI acquisition; blood oxygen level-dependent signal; brain; cognitive study; compressed sensing; receiver operating characteristic curve; spatio-temporal resolution fMRI technique; Acceleration; Blood; Compressed sensing; Electroencephalography; Focusing; Image analysis; Image reconstruction; Magnetic resonance imaging; Signal resolution; Spatial resolution; FOCUSS; Karhunen-Loeve transform; ROC curve; compressed sensing; fMRI;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location :
Boston, MA
ISSN :
1945-7928
Print_ISBN :
978-1-4244-3931-7
Electronic_ISBN :
1945-7928
Type :
conf
DOI :
10.1109/ISBI.2009.5193144
Filename :
5193144
Link To Document :
بازگشت