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https://www.selleckchem.com/products/pluripotin-sc1.html To develop fast multi-slice apparent T (T ) mapping for accurate cerebral blood flow (CBF) quantification with arterial spin labeling (ASL) MRI. Fast multi-slice T was measured using a modified inversion recovery echo planar imaging (EPI) sequence with simultaneous application of ASL tagging radiofrequency (RF) and gradient pulses. The fast multi-slice T measurement was compared with the single-slice T imaging approach, repeated per slice. CBF was assessed in healthy adult Wistar rats (N = 5) and rats with acute stroke 24 hours after a transient middle cerebral artery occlusion (N = 5). The fast multi-slice T measurement was in good agreement with that of a single-slice T imaging approach (Lin's concordance correlation coefficient = 0.92). CBF calculated using T reasonably accounted for the finite labeling RF duration, whereas the routine T -normalized ASL MRI underestimated the CBF, particularly at short labeling durations. In acute stroke rats, the labeling time and the CBF difference (ΔCBF) between the contralateral normal area and the ischemic lesion were significantly correlated when using T -normalized perfusion calculation (R = 0.844, P = .035). In comparison, T -normalized ΔCBF had little labeling time dependence based on the linear regression equation of ΔCBF = -0.0247*τ + 1.579 mL/g/min (R = -0.352, P = .494). Our study found fast multi-slice T imaging improves the accuracy and reproducibility of CBF measurement. Our study found fast multi-slice T1app imaging improves the accuracy and reproducibility of CBF measurement.Integrated models combine multiple data types within a unified analysis to estimate species abundance and covariate effects. By sharing biological parameters, integrated models improve the accuracy and precision of estimates compared to separate analyses of individual data sets. We developed an integrated point process model to combine presence-only and distance sampling data for estim

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