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Research ArticleBrain

4D Digital Subtraction Angiography: Implementation and Demonstration of Feasibility

B. Davis, K. Royalty, M. Kowarschik, C. Rohkohl, E. Oberstar, B. Aagaard-Kienitz, D. Niemann, O. Ozkan, C. Strother and C. Mistretta
American Journal of Neuroradiology October 2013, 34 (10) 1914-1921; DOI: https://doi.org/10.3174/ajnr.A3529
B. Davis
aFrom the University of Wisconsin School of Medicine and Public Health (B.D., E.O., B.A.-K., D.N, O.O., C.S., C.M.), Madison, Wisconsin
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K. Royalty
bSiemens AG (K.R.), Healthcare Sector, Hoffman Estates, Illinois
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M. Kowarschik
cSiemens (M.K., C.R.), Research Collaborations, AX, Forchheim, Germany.
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C. Rohkohl
cSiemens (M.K., C.R.), Research Collaborations, AX, Forchheim, Germany.
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E. Oberstar
aFrom the University of Wisconsin School of Medicine and Public Health (B.D., E.O., B.A.-K., D.N, O.O., C.S., C.M.), Madison, Wisconsin
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B. Aagaard-Kienitz
aFrom the University of Wisconsin School of Medicine and Public Health (B.D., E.O., B.A.-K., D.N, O.O., C.S., C.M.), Madison, Wisconsin
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D. Niemann
aFrom the University of Wisconsin School of Medicine and Public Health (B.D., E.O., B.A.-K., D.N, O.O., C.S., C.M.), Madison, Wisconsin
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O. Ozkan
aFrom the University of Wisconsin School of Medicine and Public Health (B.D., E.O., B.A.-K., D.N, O.O., C.S., C.M.), Madison, Wisconsin
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C. Strother
aFrom the University of Wisconsin School of Medicine and Public Health (B.D., E.O., B.A.-K., D.N, O.O., C.S., C.M.), Madison, Wisconsin
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C. Mistretta
aFrom the University of Wisconsin School of Medicine and Public Health (B.D., E.O., B.A.-K., D.N, O.O., C.S., C.M.), Madison, Wisconsin
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  • Fig 1.
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    Fig 1.

    Schematic of 4D-DSA reconstruction. After creation of the 4D-DSA timeframes, each one may be viewed in a dynamic form showing the inflow and outflow of contrast from the vasculature, just as with a standard 2D-DSA series. As shown on the 2 series of 4 images at the bottom of the illustration, any selected time (in this case, the image framed in red in the top row of 4 images) may be viewed at any desired angle. Four possible views of the selected image are shown in the bottom row of 4 images.

  • Fig 2.
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    Fig 2.

    Images show a selected projection from a 3D-DSA rotational acquisition (top left), a 4D-DSA timeframe (center), and a standard 3D-DSA reconstruction (right). The SNRs of the 3 images at the region indicated by the yellow arrows are shown beneath each image. The single image at the bottom shows traces of the profile across the 2 arteries indicated by the red line. These images were obtained by use of an IA injection of contrast medium.

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    Fig 3.

    Demonstration of the effects of reconstruction elements on accuracy of reconstructed simulated vessel signal curves. The digital phantom is shown in the top frame on the left. The vessels in the phantom (phantom artery and phantom vein) had specified time dependence. These are considered to represent ground truth. The input time curves for these vessels are shown in each panel for comparison. C indicates constraining image; P, projections. The reconstructed wave forms are shown: 1) after multiplication (represented by C × P) of the projections by a binary constraining image (top right); 2) multiplication of the projections by the binary constraining image plus an angular minimum search (represented by C × P + search, bottom left); and 3) multiplication of the projections by the binary constraining image followed by normalization by the estimate of the numbers of projected ray voxels obtained from the constraining image (C × P + Norm, bottom right). The y-axis shows arbitrary units of attenuation. The x-axis shows the projection number.

  • Fig 4.
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    Fig 4.

    Four-dimensional DSA reconstruction from a 3D-DSA reconstruction performed for evaluation of an unruptured paraclinoid aneurysm. An IA injection of contrast was used for this examination. The top row shows selected timeframes viewed at the rate of 6 frames per second at a fixed viewing angle. The bottom row shows the same timeframes viewed at 4 different angles, which would have not been obtainable in a biplane acquisition because of the mechanical inability to position the A-plane gantry (red icon).

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    Fig 5.

    Comparison of intravenous 3D-DSA and early arterial phase time from a 4D-DSA reconstruction. In the standard 3D-DSA on the left, the overlap of both arteries and veins obscures visualization of the internal carotid arteries. In this example, there is no viewing angle that will eliminate this overlap in the 3D-DSA. The image on the right is an early arterial timeframe from a 4D-DSA reconstruction viewed from the same angle as the 3D-DSA on the left. In this 4D image, the full course the right internal carotid artery is clearly visualized (red arrows). The red ellipse shows the position of the distal segments of the internal carotid arteries in both images.

  • Fig 6.
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    Fig 6.

    Color-coded 4D-DSA and bolus arrival images. The sequence was displayed at a rate of 6 frames per second for visualization of arrival times between 1 and 4.5 seconds. On the top of the figure, binarized 4D-DSA timeframes multiply a time-of-arrival map providing a dynamic display in which each pixel in each timeframe is represented by a quantitative time of arrival value. In the bottom half of the figure, a sliding Gaussian display window is used to show the passage of the bolus through the AVM. The 4D-DSA TOA volume (static) and 4D-DSA TOA (dynamic) 3D timeframes can be viewed from any angle. The 4D-DSA TOA (dynamic) 3D timeframes allow viewing of the temporal dynamics of the 4D-DSA TOA from any angle at any point in time for which data were acquired. These images were obtained by use of an IA injection of contrast medium.

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    Fig 7.

    Relative spatial and temporal resolution for competing time-resolved angiography methods. The MRA values are based on the hybrid MRA method reported by Wu et al12 and provide 0.69-mm pixel dimensions, leading to a voxel volume of 0.33 mm3. Typical frame times are 0.3 seconds. The CTA estimate is based on the large area Aquilion system (Toshiba Medical Systems, Tokya, Japan)14 with a pixel dimension of 0.625 and frame rate of approximately 3/s. The 4D-DSA ultimate spatial resolution assuming a magnification factor of 1.5 and a pixel dimension 100 should easily support 200-μ pixel dimensions in a patient, leading to a voxel volume of 0.008 mm3.

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American Journal of Neuroradiology: 34 (10)
American Journal of Neuroradiology
Vol. 34, Issue 10
1 Oct 2013
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Cite this article
B. Davis, K. Royalty, M. Kowarschik, C. Rohkohl, E. Oberstar, B. Aagaard-Kienitz, D. Niemann, O. Ozkan, C. Strother, C. Mistretta
4D Digital Subtraction Angiography: Implementation and Demonstration of Feasibility
American Journal of Neuroradiology Oct 2013, 34 (10) 1914-1921; DOI: 10.3174/ajnr.A3529

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4D Digital Subtraction Angiography: Implementation and Demonstration of Feasibility
B. Davis, K. Royalty, M. Kowarschik, C. Rohkohl, E. Oberstar, B. Aagaard-Kienitz, D. Niemann, O. Ozkan, C. Strother, C. Mistretta
American Journal of Neuroradiology Oct 2013, 34 (10) 1914-1921; DOI: 10.3174/ajnr.A3529
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