Title :
Brain Activity Detection in Functional Magnetic Resonance Imaging on Heterogeneous Cluster
Author :
Hernandez, J. ; Bosque, J.L. ; Canto, J.
Abstract :
In this paper we show a cluster-based solution for analyzing magnetic resonance imaging from the brain in order to obtain information about the brain activity in conscious and awake subjects. The huge amount of data to be analyzed makes sense the use of computer clusters. Furthermore, one heterogeneous cluster has been chosen because is a more realistic net environment in the most of the medical institutions. The complete method in the future would be a new approach to real time detection of brain activity.
Keywords :
Brain; Computational efficiency; Electrical capacitance tomography; High performance computing; Image analysis; Magnetic resonance; Magnetic resonance imaging; Neuroimaging; Nuclear magnetic resonance; Read only memory;
Conference_Titel :
Cluster Computing and the Grid, 2002. 2nd IEEE/ACM International Symposium on
Print_ISBN :
0-7695-1582-7
DOI :
10.1109/CCGRID.2002.1017138