Title | ||
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Model estimation of cerebral hemodynamics between blood flow and volume changes: a data-based modeling approach. |
Abstract | ||
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It is well known that there is a dynamic relationship between cerebral blood flow (CBF) and cerebral blood volume (CBV). With increasing applications of functional MRI, where the blood oxygen-level-dependent signals are recorded, the understanding and accurate modeling of the hemodynamic relationship between CBF and CBV becomes increasingly important. This study presents an empirical and data-base... |
Year | DOI | Venue |
---|---|---|
2009 | 10.1109/TBME.2009.2012722 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Hemodynamics,Blood flow,Mathematical model,Magnetic resonance imaging,System identification,Systems engineering and theory,Filtering,Parameter estimation,Least squares approximation,Positron emission tomography | Least squares,Hemodynamics,Computer vision,Autoregressive model,Pattern recognition,Blood flow,Computer science,Blood volume,Artificial intelligence,Cerebral blood flow,Estimation theory,System identification | Journal |
Volume | Issue | ISSN |
56 | 6 | 0018-9294 |
Citations | PageRank | References |
6 | 0.58 | 23 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hua-liang Wei | 1 | 494 | 44.82 |
Y. Zheng | 2 | 109 | 37.59 |
Yi Pan | 3 | 6 | 0.58 |
Daniel Coca | 4 | 106 | 20.12 |
Liang-Min Li | 5 | 6 | 1.25 |
J. E. W. Mayhew | 6 | 97 | 89.03 |
Stephen A Billings | 7 | 6 | 0.58 |