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Critical Reviews™ in Biomedical Engineering

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ISSN Druckformat: 0278-940X

ISSN Online: 1943-619X

SJR: 0.262 SNIP: 0.372 CiteScore™:: 2.2 H-Index: 56

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Probabilitic Fusion of Hemodynamic Parameter Maps

Volumen 28, Ausgabe 3&4, 2000, pp. 363-369
DOI: 10.1615/CritRevBiomedEng.v28.i34.30
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ABSTRAKT

Hemodynamic parameter maps (HPMs) depict values of parameters of hemodynamic response, namely, gain, lag, and dispersion, in response to neuronal activation. Large intensity values of any of the HPMs indicate greater likelihoods of brain activation. We apply the probabilistic data fusion equation to combine three HPMs. The statistical map of the fused probability map derived from HPMs is compared with statistical parameter mapping (SPM) in a visual experiment. The statistical hemodynamic parameter map (SHPM) gives better contrast to distinguish activated voxels from nonactivated voxels.

REFERENZIERT VON
  1. Rajapakse J.C., Venkatraman V., Neural network modeling of neuronal-vascular coupling, ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378), 3, 1999. Crossref

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