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 physiological states including cerebral blood flow, cerebral blood volume, total deoxyhemoglobin content, and the flow inducing signal, from functional imaging data.
Original language | English |
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Title of host publication | Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006 |
Subtitle of host publication | 9th International Conference Copenhagen, Denmark, October 1-6, 2006 Proceedings, Part II |
Editors | Rasmus Larsen, Mads Nielsen, Jon Sporring |
Place of Publication | Berlin Germany |
Publisher | Springer |
Pages | 292-299 |
Number of pages | 8 |
ISBN (Print) | 354044727X, 9783540447276 |
Publication status | Published - 1 Dec 2006 |
Externally published | Yes |
Event | Medical Image Computing and Computer-Assisted Intervention 2006 - Copenhagen, Denmark Duration: 1 Oct 2006 → 6 Oct 2006 Conference number: 9th https://link.springer.com/book/10.1007/11866565 (Proceedings) |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer |
Volume | 4191 |
ISSN (Print) | 0302-9743 |
Conference
Conference | Medical Image Computing and Computer-Assisted Intervention 2006 |
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Abbreviated title | MICCAI 2006 |
Country/Territory | Denmark |
City | Copenhagen |
Period | 1/10/06 → 6/10/06 |
Internet address |
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