Content–based fMRI Brain Maps Retrieval
| Art der Publikation: | Artikel in Sammelband |
| Zitat: | GLA2016 |
| Buchtitel: | International Conference on Brain Informatics & Health (BIH) |
| Jahr: | 2016 |
| Verlag: | Springer LNCS/LNAI |
| Abriss: | The statistical analysis of functional magnetic resonance imaging (fMRI) is used to extract functional data of cerebral activation during a given experimental task. It allows for assessing changes in cerebral function related to cerebral activities. This methodology has been widely used and a few initiatives aim to develop shared data resources. Searching these data resources for a specific research goal remains a challenging problem. In particular, work is needed to create a global content–based (CB) fMRI retrieval capability. This work presents a CB fMRI retrieval approach based on the brain activation maps extracted using Probabilistic Independent Component Analysis (PICA). We obtained promising results on data from a variety of experiments which highlight the potential of the system as a tool that provides support for finding hidden similarities between brain activation maps. |
| Schlagworte: | brain activation map, fMRI retrieval, PICA |
| Autoren | |
| Hinzugefügt von: | [] |
| Gesamtbewertung: | 0 |
|
Anhänge
|
|
|
|
|
Notizen
|
|
|
|
|
|
Themen
|
|
|
|
|
