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Proceedings Paper

Experimental comparison of cone beam CT (CBCT) reconstruction and multiview reconstruction (MVR) for microangiography (MA) detector system
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Paper Abstract

The new Multi-View Reconstruction (MVR) method for generating 3D vascular images was evaluated experimentally. The MVR method requires only a few digital subtraction angiographic (DSA) projections to reconstruct the 3D model of the vessel object compared to 180 or more projections for standard CBCT. Full micro-CBCT datasets of a contrast filled carotid vessel phantom were obtained using a Microangiography (MA) detector. From these datasets, a few projections were selected for use in the MVR technique. Similar projection views were also obtained using a standard x-ray image intensifier (II) system. A comparison of the 2D views of the MVRs (MA and II derived) with reference micro-CBCT data, demonstrated best agreement with the MA MVRs, especially at the curved part of the phantom. Additionally, the full 3D MVRs were compared with the full micro-CBCT 3D reconstruction resulting for the phantom with the smallest diameter (0.75 mm) vessel, in a mean centerline deviation from the micro-CBCT derived reconstructions of 29 μm for the MA MVR and 48 μm for the II MVR. The comparison implies that an MVR may be substituted for a full micro-CBCT scan for evaluating vessel segments with consequent substantial savings in patient exposure and contrast media injection yet without substantial loss in 3D image content. If a high resolution system with MA detector is used, the improved resolution could be well suited for endovascular image guided interventions where visualization of only a small field of view (FOV) is required.

Paper Details

Date Published: 2 March 2006
PDF: 8 pages
Proc. SPIE 6142, Medical Imaging 2006: Physics of Medical Imaging, 61422D (2 March 2006); doi: 10.1117/12.653845
Show Author Affiliations
Vikas Patel, SUNY, Univ. at Buffalo (United States)
Andrew T. Kuhls, SUNY, Univ. at Buffalo (United States)
Peter B. Noël, SUNY, Univ. at Buffalo (United States)
Alan Walczak, SUNY, Univ. at Buffalo (United States)
Ciprian N. Ionita, SUNY, Univ. at Buffalo (United States)
Ravishankar Chityala, SUNY, Univ. at Buffalo (United States)
Rekha Tranquebar, SUNY, Univ. at Buffalo (United States)
Hussain S. Rangwala, SUNY, Univ. at Buffalo (United States)
Snehal S. Kasodekar, SUNY, Univ. at Buffalo (United States)
Kenneth R. Hoffmann, SUNY, Univ. at Buffalo (United States)
Daniel Bednarek, SUNY, Univ. at Buffalo (United States)
Stephen Rudin, SUNY, Univ. at Buffalo (United States)


Published in SPIE Proceedings Vol. 6142:
Medical Imaging 2006: Physics of Medical Imaging
Michael J. Flynn; Jiang Hsieh, Editor(s)

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