Multi-compartment analysis on water dynamics in rat brain by heavy water perfusion
Zi-Min Lei 1 , Cheng-He Li 1 , Sheng-Min Huang 1 , Chin-Tien Lu 1 , Kung-Chu Ho 2 , and Fu-Nien Wang 1
Biomedical Engineering and Environmental
Sciences, National Tsing Hua University, HsinChu,
Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan
In this study of rodent brain imaging, using a new
strategy of monitoring heavy water tracer by the
attenuation of 1H signal, we further re-investigate the
heavy water dynamics with a multi-compartmental analysis
method, and investigated the spatial distribution of
fast and slow compartments of heavy water perfusion.
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