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キーワード:
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要旨:
Quantification of cerebral blood flow (CBF) using magnetic resonance imaging still suffers from many unresolved
methodological issues. In this study we report the successful modeling of monkey CBF data, using the two-compartmental model introduced by Parkes et al. [1]. Absolute flow and transit times were derived including uncertainties of the assumed parameters as well as the signal noise. The
precision of the model's result was investigated and an acquisition paradigm to maximize the information content is proposed.
