2003
DOI: 10.1177/016173460302500306
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Blood Flow Estimation Error with Intravascular Ultrasound Due to In-Plane Component of Flow

Abstract: Previously, we presented a real-time method to measure blood flow perpendicular to the image plane of an intravascular ultrasound (IVUS) imaging system using a slow-time FIR (finite impulse response) filter bank. Any in-plane flow introduces error in the flow measurement using the filter bank algorithm. Simulations show that for a flow angle of +/- 10 degrees and velocities between 200 mm/s and 300 mm/s, the energy within the lowest frequency band filter is 6.92 to 7.80 times higher than for perpendicular flow… Show more

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Cited by 6 publications
(2 citation statements)
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References 24 publications
(34 reference statements)
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“…Slow-time filtering retains the signal from static microbubbles and largely cancels the signal scattered by flowing microbubbles. 5,16,26,27 This allows selective imaging of static or adherent microbubbles in real time (8–10 Hz frame rate). At the end of this sequence, a high MI (MI = 1.0), high PRF destruction pulse is directed to the static or adherent microbubbles, thus facilitating local microbubble destruction and a concomitant fluorophore delivery.…”
Section: Methodsmentioning
confidence: 99%
“…Slow-time filtering retains the signal from static microbubbles and largely cancels the signal scattered by flowing microbubbles. 5,16,26,27 This allows selective imaging of static or adherent microbubbles in real time (8–10 Hz frame rate). At the end of this sequence, a high MI (MI = 1.0), high PRF destruction pulse is directed to the static or adherent microbubbles, thus facilitating local microbubble destruction and a concomitant fluorophore delivery.…”
Section: Methodsmentioning
confidence: 99%
“…As illustrated in Figure 1, the non-linear imaging mode or PI radio frequency (RF) data are “slow time” averaged to retain signals from bound microbubbles. This technique refers to temporal averaging over several transmitted pulses (de Ana et al 2003). It eliminates high frequency variations in a data set acquired over several temporally spaced observation windows.…”
Section: Methodsmentioning
confidence: 99%