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Research ArticleBrain

Temporal Resolution of Dynamic Angiography Using Flat Panel Volume CT: In Vivo Evaluation of Time-Dependent Vascular Pathologies

R. Gupta, A. Mehndiratta, A.P. Mitha, M. Grasruck, C. Leidecker, C. Ogilvy and T.J. Brady
American Journal of Neuroradiology October 2011, 32 (9) 1688-1696; DOI: https://doi.org/10.3174/ajnr.A2586
R. Gupta
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A. Mehndiratta
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A.P. Mitha
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M. Grasruck
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C. Leidecker
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C. Ogilvy
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T.J. Brady
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    Fig 1.

    Zoomed-in view of the ACA (of Macaca sylvanus) at the peak of arterial opacification. Nearly the entire course of the ACA, with a diameter <200 μm in the distal portions, is visualized because of the excellent resolution afforded by the digital flat panel technology.

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    Fig 2.

    Time-resolved MIP images through a sagittal slab of the brain parenchyma of a Macaca sylvanus showing arterial, parenchymal, and venous phases of circulation in this animal with a heart rate of approximately 150 bps.

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    Fig 3.

    Six sequential frames showing opacification of the arteries, parenchyma, and the veins of the brain in a Rattus norvegicus model. In the parenchymal phase, the contrast enhancement of the brain is only minimally above the baseline value because of the contrast resolution of the scanner.

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    Fig 4.

    Demonstration of subclavian steal phenomenon by using dynamic CTA in a NZW rabbit model. A, An early arterial phase MIP image shows opacification of the left subclavian, left vertebral, and left common carotid arteries. B, A late arterial phase image shows opacification of the right subclavian artery via retrograde flow (reverse flow) from the right vertebral artery. Note the chemical vasculitis induced in the RCCA from an intra-arterial injection of elastase, which was used to demonstrate endothelial injury in this artery before scanning. C, Contrast intensity (HU) vs time curve showing the temporal delay in peak enhancement of right subclavian artery (yellow) with respect to aorta (blue) and left subclavian artery (pink).

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    Fig 5.

    A, An axial section through a single phase of a 4D time-resolved image stack used for estimating brain perfusion. The arterial and venous inputs used for computation are marked. B, Arterial and venous time opacification curves. C and D, Axial and coronal CBV maps computed by using the Patlak model.

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    Fig 6.

    A, A frame from the arterial phase of a dynamic scan obtained on a rat with occlusion of the proximal right ICA (arrow). The right ICA was occluded via a filament inserted in the ECA and then advanced into the ICA. B and C, Time-attenuation curves of the brain parenchyma on the right (B) and left (C) side of the brain. The perfusion maps derived from this model were unable to demonstrate the transit time difference between the left and right side of the brain due to limitations of the temporal and contrast resolution of the fpVCT scanner.

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    Fig 7.

    Image showing aneurysm creation used in NZW rabbit models: 3D reconstructions of an aneurysm by using fpVCT (left) and MDCT (right). Despite the small size of this aneurysm, the anatomy of the aneurysm sac, including a small bleb (arrow), can be well visualized by using fpVCT. The surface anatomy is considerably smoothed, and no bleb is identified with MDCT.

Tables

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    Table 1:

    Variation in heart rates of animals used for validating the temporal resolution of fpVCT in vascular pathology models

    AnimalHeart Rate (bpm)No.
    Macaca sylvanus1002
    NZW rabbit15017
    Rattus norvegicus300–4003
    Mus musculus500–60013
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    Table 2:

    Different animals used for each dynamic study protocol and time-dependent vascular models created in each animal

    Dynamic StudyAnimalNo.Model
    Phases of blood flowMacaca sylvanus2 Healthy control
    NZW rabbit10Healthy control
    Mus musculus10Healthy control
    Aneurysm fillingNZW rabbit10Modified elastase aneurysm model
    Tumor blood flowNZW rabbit4VX2 tumor model
    Time-dependent pathologiesNZW rabbit1Subclavian steal model
    Neuroperfusion (CBV, CBF, MTT)NZW rabbit2Stroke model
    Rattus norvegicus3ECA ICA filament
    Mus musculus3ECA ICA filament
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    Table 3:

    CT acquisition settings used for static and dynamic scanning protocol for each animal

    AnimalTube Voltage(kV[peak])Tube Current(mAs)Gantry Rotation Time (sec)Total CE Scanning Time (sec)
    Macaca sylvanus10050570–80
    NZW rabbit12050545
    Rattus norvegicus10030560
    Mus musculus10030555–60
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    Table 4:

    Results of each dynamic process and animal model comparing the time measured using 30-fps projection acquisition and visualization in dynamic 4D datasets after image reconstruction

    Dynamic Process Being MonitoredAnatomic Location and Flow PatternActual Time from Projection Data, 30 fps (sec)Animal ModelVisualization in Dynamic 4D Datasets (gantry rotation time = 5 sec)
    Cerebral circulationCommon carotid artery to internal jugular vein15Macaca sylvanusYes
    Cerebral circulationCommon carotid artery to internal jugular vein12.3–13.3NZW rabbitYes
    SSS modelAnomalous circulation5–7.5NZW rabbitYes
    Pulmonary circulationIVC to aorta,5.3NZW rabbitYes
    right heart to left heart,3NZW rabbitYes
    tail vein to heart,2–3Mus musculusYes
    heart to abdominal aorta,2–3Mus musculusYes
    IVC to right heart2.3NZW rabbitYes
    Pulmonary circulationRight heart to left heart,<2Mus musculusNo
    left heart to common carotid artery,1.33NZW rabbitNo
    tail vein to IVC,<1Mus musculusNo
    IVC to right heart,<1Mus musculusNo
    left heart chamber to aorta<1Mus musculusNo
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American Journal of Neuroradiology: 32 (9)
American Journal of Neuroradiology
Vol. 32, Issue 9
1 Oct 2011
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Cite this article
R. Gupta, A. Mehndiratta, A.P. Mitha, M. Grasruck, C. Leidecker, C. Ogilvy, T.J. Brady
Temporal Resolution of Dynamic Angiography Using Flat Panel Volume CT: In Vivo Evaluation of Time-Dependent Vascular Pathologies
American Journal of Neuroradiology Oct 2011, 32 (9) 1688-1696; DOI: 10.3174/ajnr.A2586

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Temporal Resolution of Dynamic Angiography Using Flat Panel Volume CT: In Vivo Evaluation of Time-Dependent Vascular Pathologies
R. Gupta, A. Mehndiratta, A.P. Mitha, M. Grasruck, C. Leidecker, C. Ogilvy, T.J. Brady
American Journal of Neuroradiology Oct 2011, 32 (9) 1688-1696; DOI: 10.3174/ajnr.A2586
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