Brain activity detection in functional magnetic resonance imaging on heterogeneous cluster

Juan Hernandez Tamames; Jose Luis Bosque; Joao R.  Canto

doi:10.1109/CCGRID.2002.1017138

Brain activity detection in functional magnetic resonance imaging on heterogeneous cluster

Juan Hernandez Tamames, Jose Luis Bosque, Joao R. Canto

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002
DOIs	https://doi.org/10.1109/CCGRID.2002.1017138
Publication status	Published - 24 May 2002
Externally published	Yes
Event	2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002 - Berlin, Germany Duration: 21 May 2002 → 24 May 2002

Publication series

Series	IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGrid)

Conference

Conference	2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002
Country/Territory	Germany
City	Berlin
Period	21/05/02 → 24/05/02

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10.1109/CCGRID.2002.1017138

Cite this

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title = "Brain activity detection in functional magnetic resonance imaging on heterogeneous cluster",

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.",

author = "{Hernandez Tamames}, Juan and Bosque, {Jose Luis} and Canto, {Joao R.}",

year = "2002",

month = may,

day = "24",

doi = "10.1109/CCGRID.2002.1017138",

language = "English",

isbn = "0769515827",

series = "IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGrid)",

booktitle = "2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002",

note = "2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002 ; Conference date: 21-05-2002 Through 24-05-2002",

}

Hernandez Tamames, J, Bosque, JL & Canto, JR 2002, Brain activity detection in functional magnetic resonance imaging on heterogeneous cluster. in 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002., 1540467, IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGrid), 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002, Berlin, Germany, 21/05/02. https://doi.org/10.1109/CCGRID.2002.1017138

Brain activity detection in functional magnetic resonance imaging on heterogeneous cluster. / Hernandez Tamames, Juan; Bosque, Jose Luis; Canto, Joao R. .
2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002. 2002. 1540467 (IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGrid)).

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

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AU - Canto, Joao R.

PY - 2002/5/24

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N2 - 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.

AB - 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.

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T3 - IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGrid)

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Brain activity detection in functional magnetic resonance imaging on heterogeneous cluster

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