DocumentCode :
1385139
Title :
Direct reconstruction of cone-beam data acquired with a vertex path containing a circle
Author :
Noo, Frédéric ; Defrise, Michel ; Clack, Rolf
Author_Institution :
Inst. d´´Electr. Montefiore, Liege Univ., Belgium
Volume :
7
Issue :
6
fYear :
1998
fDate :
6/1/1998 12:00:00 AM
Firstpage :
854
Lastpage :
867
Abstract :
Cone-beam data acquired with a vertex path satisfying the data sufficiency condition of Tuy can be reconstructed using exact filtered backprojection algorithms. These algorithms are based on the application to each cone-beam projection of a two-dimensional (2-D) filter that is nonstationary, and therefore more complex than the one-dimensional (1-D) ramp filter used in the approximate algorithm of Feldkamp, Davis, and Kress (1984) (FDK). We determine in this paper the general conditions under which the 2-D nonstationary filter reduces to a 2-D stationary filter, and also give the explicit expression of the corresponding convolution kernel. Using this result and the redundancy of the cone-beam data, a composite algorithm is derived for the class of vertex paths that consist of one circle and some complementary subpath designed to guarantee data sufficiency. In this algorithm the projections corresponding to vertex points along the circle are filtered using a 2-D stationary filter, whereas the other projections are handled with a 2-D nonstationary filter. The composite algorithm generalizes the method proposed by Kudo and Saito (1990), in which the circle data are processed with a 1-D ramp filter as in the FDK algorithm. The advantage of the 2-D filter introduced in this paper is to guarantee that the filtered cone-beam projections do not contain singularities in smooth regions of the object. Tests of the composite algorithm on simulated data are presented
Keywords :
X-ray imaging; computerised tomography; convolution; image reconstruction; two-dimensional digital filters; 2-D filter; 2-D nonstationary filter; 2-D stationary filter; cone-beam data; convolution kernel; data sufficiency condition; direct reconstruction; exact filtered backprojection algorithm; redundancy; singularities; smooth regions; subpath; two-dimensional filter; vertex path; Algorithm design and analysis; Computed tomography; Convolution; Filters; Image reconstruction; Kernel; Medical simulation; Testing; Two dimensional displays; X-ray imaging;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/83.679431
Filename :
679431
Link To Document :
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