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Proceedings Paper

Antialiasing weighting function for helical CT
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Paper Abstract

Longitudinal aliasing effects plague most volumes reconstructed from single-slice helical computed tomography data, and its presence can degrade resolution and distort image structures. We have recently developed a Fourier-based approach to longitudinal interpolation in helical CT that can, under certain conditions, essentially eliminate this longitudinal aliasing by exploiting a generalization of the sampling theorem whose conditions are satisfied by the interlaced pairs of direct and complementary longitudinal samples. However, the algorithm is computationally intensive and cannot be pipelined. In the present work, we address this shortcoming by deriving a spatial-domain, projection- data weighting function that approximates the application of the Fourier-based approach, and preserves its aliasing suppression properties to some degree, while allowing for a pipelined implementation. We call the approach 180AA, for anti-aliasing.

Paper Details

Date Published: 28 June 2001
PDF: 12 pages
Proc. SPIE 4320, Medical Imaging 2001: Physics of Medical Imaging, (28 June 2001); doi: 10.1117/12.430863
Show Author Affiliations
Patrick J. La Riviere, Univ. of Chicago (United States)
Xiaochuan Pan, Univ. of Chicago (United States)


Published in SPIE Proceedings Vol. 4320:
Medical Imaging 2001: Physics of Medical Imaging
Larry E. Antonuk; Martin Joel Yaffe, Editor(s)

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