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Critical Reviews™ in Biomedical Engineering
SJR: 0.26 SNIP: 0.375 CiteScore™: 1.4

ISSN 印刷: 0278-940X
ISSN オンライン: 1943-619X

Critical Reviews™ in Biomedical Engineering

DOI: 10.1615/CritRevBiomedEng.v28.i34.30
pages 363-369

Probabilitic Fusion of Hemodynamic Parameter Maps

Jagath C. Rajapakse
School of Applied Science, Nanyang Technological University, Singapore 639798

要約

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.


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