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Proceedings Paper

Convolution reconstruction algorithm for multislice helical CT
Author(s): Jiang Hsieh; Brian Grekowicz; Piero Simoni; Jean-Baptiste Thibault; Mukta C. Joshi; Sandeep Dutta; Eugene C. Williams; Charlie Shaughnessy; Paavana Sainath
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Paper Abstract

One of the most recent technological advancements in computed tomography (CT) is the introduction of multi-slice CT (MSCT). The state-of-the-art MSCT contains 16 detector rows and is capable of acquiring 16 projections simultaneously. In this paper, we propose a reconstruction algorithm that makes use of nontraditional reconstruction planes and convolution weighting. To minimize the impact of interpolation on slice-sensitivity-profile (SSP), conjugate samples are used for the projection interpolation. We use multiple convex planes as teh region of construction. This allows the generated weighting function to be smooth and differentiable. In addition, we make use of the fact that projections collected from a subset of detector rows are sufficient to perform a complete reconstruction. A convolution function is applied to the weighting function of each subset to minimize the impact of cone beam effects. The convolution function is chosen so that optimal balance is achieved between image artifact, slice-sensitivity-profile (SSP), and noise. Extensive phantom and clinical studies have been conducted to validate our approach. Our study indicates that compared to other row-interpolation based reconstruction algorithms, a 30% SSP improvement can be achieved with the proposed approach. In addition, image artifact suppression achieved with the proposed approach is on par or slightly better than the existing reconstruction algorithms. Extensive clinical studies have shown that the 16-slice scanner in conjugation with this algorithm produces nearly isotropic spatial resolution and allows much improved diagnostic image quality.

Paper Details

Date Published: 15 May 2003
PDF: 8 pages
Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); doi: 10.1117/12.481158
Show Author Affiliations
Jiang Hsieh, GE Medical Systems (United States)
Brian Grekowicz, GE Medical Systems (United States)
Piero Simoni, GE Medical Systems (United States)
Jean-Baptiste Thibault, GE Medical Systems (United States)
Mukta C. Joshi, GE Medical Systems (United States)
Sandeep Dutta, GE Medical Systems (United States)
Eugene C. Williams, GE Medical Systems (United States)
Charlie Shaughnessy, GE Medical Systems (United States)
Paavana Sainath, GE Medical Systems (United States)

Published in SPIE Proceedings Vol. 5032:
Medical Imaging 2003: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

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