Conference item icon

Conference item

Particle filtering for nonlinear BOLD signal analysis.

Abstract:

Functional Magnetic Resonance imaging studies analyse sequences of brain volumes whose intensity changes predominantly reflect blood oxygenation level dependent (BOLD) effects. The most comprehensive signal model to date of the BOLD effect is formulated as a continuous-time system of nonlinear stochastic differential equations. In this paper we present a particle filtering method for the analysis of the BOLD system, and demonstrate it to be both accurate and robust in estimating the hidden ph...

Expand abstract
Publication status:
Published

Actions


Authors


More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
Volume:
9
Issue:
Pt 2
Pages:
292-299
Host title:
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Publication date:
2006-01-01
Event location:
Germany
EISSN:
1611-3349
ISSN:
0302-9743
Source identifiers:
440021
ISBN:
354044727X

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP