FFT-based approach to longitudinal interpolation in single- and multi-slice helical CT

Presents an approach to single- and multi-slice helical computed tomography (CT) image reconstruction that exploits the fast Fourier transform (FFT) and the Fourier shift theorem to generate from the helical projection data a set of fan-beam sinograms corresponding to equispaced transverse slices. S...

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Published in:1999 IEEE Nuclear Science Symposium. Conference Record. 1999 Nuclear Science Symposium and Medical Imaging Conference (Cat. No.99CH37019) Vol. 3; pp. 1588 - 1592 vol.3
Main Authors: Xiaochuan Pan, La Riviere, P.J.
Format: Conference Proceeding
Language:English
Published: IEEE 1999
Subjects:
Computed tomography
Detectors
Fast Fourier transforms
Geometry
Image reconstruction
Image resolution
Image sampling
Interpolation
Radiology
Sampling methods
ISBN:9780780356962, 0780356969
ISSN:1082-3654
Online Access:Get full text
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Abstract Presents an approach to single- and multi-slice helical computed tomography (CT) image reconstruction that exploits the fast Fourier transform (FFT) and the Fourier shift theorem to generate from the helical projection data a set of fan-beam sinograms corresponding to equispaced transverse slices. Slice-by-slice reconstruction is then performed by use of two-dimensional (2D) fan-beam algorithms. A natural extension of the approach allows the redundancy of fan-beam data acquired over 360/spl deg/ to be exploited to decrease the effective longitudinal sampling interval. The approach is found to perform best at pitch 1 for the single-slice case and pitch 3 for the multi-slice case, when its sampling conditions are well satisfied, yielding high-quality transverse images and longitudinal aliasing and resolution properties superior to those of standard approaches based on linear interpolation.
AbstractList Presents an approach to single- and multi-slice helical computed tomography (CT) image reconstruction that exploits the fast Fourier transform (FFT) and the Fourier shift theorem to generate from the helical projection data a set of fan-beam sinograms corresponding to equispaced transverse slices. Slice-by-slice reconstruction is then performed by use of two-dimensional (2D) fan-beam algorithms. A natural extension of the approach allows the redundancy of fan-beam data acquired over 360/spl deg/ to be exploited to decrease the effective longitudinal sampling interval. The approach is found to perform best at pitch 1 for the single-slice case and pitch 3 for the multi-slice case, when its sampling conditions are well satisfied, yielding high-quality transverse images and longitudinal aliasing and resolution properties superior to those of standard approaches based on linear interpolation.
Author La Riviere, P.J.
Xiaochuan Pan
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  fullname: La Riviere, P.J.
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Snippet Presents an approach to single- and multi-slice helical computed tomography (CT) image reconstruction that exploits the fast Fourier transform (FFT) and the...
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StartPage 1588
SubjectTerms Computed tomography
Detectors
Fast Fourier transforms
Geometry
Image reconstruction
Image resolution
Image sampling
Interpolation
Radiology
Sampling methods
Title FFT-based approach to longitudinal interpolation in single- and multi-slice helical CT
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