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Proceedings Paper

Reduction of metal artifacts using subtracted CT projection data
Author(s): Ranjini P. Tolakanahalli; Joshua E. Medow; Jiang Hsieh; Guang-Hong Chen; Charles A. Mistretta
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Paper Abstract

Metal artifacts in many cases significantly limit non-invasive imaging in evaluation of cerebrovascular patients who have undergone prior aneurysm clipping or coiling. The data inconsistency due to the presence of metal produces streaks in the reconstructed CT slices, which then manifest themselves in the coronal and sagittal reprojections most often used to display CT angiographic data. In DSA, no CT reconstructions are performed and the presence of metal only produces a reduction in SNR behind the metal unless misregistration produces artifacts. In this paper, we have begun to investigate a new method to obtain DSA-like images by using a CT scanner. In this approach, sinogram data is obtained from the multi-slice scanner using the same scan parameters before and after contrast injection. These sets of data are registered, subtracted and rebinned to generate radiography-like images. This new method to form DSA-like images from a CT scanner is called Digital Subtraction Topography (DST). Importantly, CT image reconstruction procedure is not performed to obtain DST images. In principle, the disturbing metal artifacts in the CT images do not appear in the DST images. A number of topographic images representing each of the gantry angles are obtained. These images give clinical information at all angles with AP and RL resolution equivalent to that in the CT slices. Resolution in the SI direction is determined by the CT slice thickness, which can be sub millimeter. The conventional CT image reconstruction can also be applied to DST datasets to generate CT DSA images. In the absence of misregistration, the metal artifacts in the reconstructed CT DSA images could be reduced.

Paper Details

Date Published: 26 October 2004
PDF: 8 pages
Proc. SPIE 5535, Developments in X-Ray Tomography IV, (26 October 2004); doi: 10.1117/12.560037
Show Author Affiliations
Ranjini P. Tolakanahalli, Univ. of Wisconsin/Madison (United States)
Joshua E. Medow, Univ. of Wisconsin/Madison (United States)
Jiang Hsieh, GE Healthcare (United States)
Guang-Hong Chen, Univ. of Wisconsin/Madison (United States)
Charles A. Mistretta, Univ. of Wisconsin/Madison (United States)


Published in SPIE Proceedings Vol. 5535:
Developments in X-Ray Tomography IV
Ulrich Bonse, Editor(s)

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