NDLI: B-spline based weighting functions for helical CT

Content Provider	IEEE Xplore Digital Library
Author	La Riviere, P.J. Xiaochuan Pan
Copyright Year	2002
Description	Author affiliation: Dept. of Radiol., Chicago Univ., IL, USA (La Riviere, P.J.; Xiaochuan Pan)
Abstract	Spatially variant longitudinal aliasing plagues 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 abasing 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. The approach, which we call 180BSP, is based on an approximate, generalized interpolation approach making use of B-splines. Studies of aliasing and resolution properties indicate that while the 180BSP approach does not perfectly replicate the favorable aliasing suppression and resolution properties of the 180FT approach, it is considerably more computationally efficient and it does represent a distinct improvement over the clinically standard 180LI approach on these fronts.
Starting Page	1494
Ending Page	1498
File Size	397771
Page Count	5
File Format	PDF
ISBN	0780373243
ISSN	10823654
DOI	10.1109/NSSMIC.2001.1008621
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-11-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Spline Interpolation Computed tomography Image reconstruction Sampling methods Spatial resolution Image sampling Degradation Image resolution Object detection
Content Type	Text
Resource Type	Article

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