Figure 1
Figure 1. Contrast ultrasound analysis of blood circulation in the human spleen parenchyma. (A) Enhancement of the ultrasound signal intensity in the spleen of a human volunteer receiving a constant perfusion of Sonovue microbubbles. (B) The ultrasound-induced decrease of signal intensity43 in a subcapsular zone (white line in panel A) was studied for at least 8 seconds. The best fit to the resulting experimental signal-time curve (EC) was obtained with a bi-exponential curve (TC), as shown on this typical example (the correlation co-efficient R2 was > 0.96 in all 16 volunteers). (C) Bi-exponential mathematical model of signal intensity vs time N(t) = V1(C0exp(−β1t)) + V2(B + (C0−B)exp(−β2t)), where the first and second terms correspond to a slow- and a rapid-flow compartment, respectively. (D) Schematic representation of the blood circulation in the human spleen parenchyma derived from these observations.

Contrast ultrasound analysis of blood circulation in the human spleen parenchyma. (A) Enhancement of the ultrasound signal intensity in the spleen of a human volunteer receiving a constant perfusion of Sonovue microbubbles. (B) The ultrasound-induced decrease of signal intensity43  in a subcapsular zone (white line in panel A) was studied for at least 8 seconds. The best fit to the resulting experimental signal-time curve (EC) was obtained with a bi-exponential curve (TC), as shown on this typical example (the correlation co-efficient R2 was > 0.96 in all 16 volunteers). (C) Bi-exponential mathematical model of signal intensity vs time N(t) = V1(C0exp(−β1t)) + V2(B + (C0−B)exp(−β2t)), where the first and second terms correspond to a slow- and a rapid-flow compartment, respectively. (D) Schematic representation of the blood circulation in the human spleen parenchyma derived from these observations.

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