title: Effect of injection technique on temporal parametric imaging derived from digital subtraction angiography in patient specific phantoms.
abstract: Parametric imaging maps (PIM's) derived from digital subtraction angiography (DSA) for the cerebral arterial flow assessment in clinical settings have been proposed, but experiments have yet to determine the reliability of such studies. For this study, we have observed the effects of different injection techniques on PIM's. A flow circuit set to physiologic conditions was created using an internal carotid artery phantom. PIM's were derived for two catheter positions, two different contrast bolus injection volumes (5ml and 10 ml), and four injection rates (5, 10, 15 and 20 ml/s). Using a gamma variate fitting approach, we derived PIM's for mean-transit-time (MTT), time-to-peak (TTP) and bolus-arrivaltime (BAT). For the same injection rates, a larger bolus resulted in an increased MTT and TTP, while a faster injection rate resulted in a shorter MTT, TTP, and BAT. In addition, the position of the catheter tip within the vasculature directly affected the PIM. The experiment showed that the PIM is strongly correlated with the injection conditions, and, therefore, they have to be interpreted with caution. PIM images must be taken from the same patient to be able to be meaningfully compared. These comparisons can include pre- and post-treatment images taken immediately before and after an interventional procedure or simultaneous arterial flow comparisons through the left and right cerebral hemispheres. Due to the strong correlation between PIM and injection conditions, this study indicates that this assessment method should be used only to compare flow changes before and after treatment within the same patient using the same injection conditions.
authors.affiliation: Dept. of Biomedical Engineering, State University of New York at Buffalo ; Dept. of Neurosurgery, State University of New York at Buffalo ; Toshiba Stroke and Vascular Research Center, State University of New York at Buffalo.
authors.forename: Ciprian N
authors.initials: CN
authors.lastname: Ionita
authors.affiliation: Toshiba Stroke and Vascular Research Center, State University of New York at Buffalo.
authors.forename: Victor L
authors.initials: VL
authors.lastname: Garcia
authors.affiliation: Toshiba Stroke and Vascular Research Center, State University of New York at Buffalo.
authors.forename: Daniel R
authors.initials: DR
authors.lastname: Bednarek
authors.affiliation: Dept. of Neurosurgery, State University of New York at Buffalo ; Toshiba Stroke and Vascular Research Center, State University of New York at Buffalo.
authors.forename: Kenneth V
authors.initials: KV
authors.lastname: Snyder
authors.affiliation: Dept. of Neurosurgery, State University of New York at Buffalo ; Toshiba Stroke and Vascular Research Center, State University of New York at Buffalo.
authors.forename: Adnan H
authors.initials: AH
authors.lastname: Siddiqui
authors.affiliation: Dept. of Neurosurgery, State University of New York at Buffalo ; Toshiba Stroke and Vascular Research Center, State University of New York at Buffalo.
authors.forename: Elad I
authors.initials: EI
authors.lastname: Levy
authors.affiliation: Dept. of Biomedical Engineering, State University of New York at Buffalo ; Dept. of Neurosurgery, State University of New York at Buffalo ; Toshiba Stroke and Vascular Research Center, State University of New York at Buffalo.
authors.forename: Stephen
authors.initials: S
authors.lastname: Rudin
keywords: DSA; MTT; Mean Transit Time; Parametric Imaging Maps; Time to Peak