Oblique surface reconstruction to approximate cone-beam helical data in multislice CT

Details Oblique surface reconstruction to approximate cone-beam helical data in multislice CT Oblique surface reconstruction to approximate cone-beam helical data in multislice CT

Nov 2000

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2000spie.4123..279c&link_type=abstract

Proc. SPIE Vol. 4123, p. 279-284, Image Reconstruction from Incomplete Data, Michael A. Fiddy; Rick P. Millane; Eds.

Computer Science

1

Scientific paper

Multi-slice helical beam scanning involves cone-beam geometry. The primary advantages for use of divergent cone- beams include reduced data acquisition, improved image resolution and optimized photon utilization. Due to the complexity of 3D cone-beam reconstruction, approximate algorithms have been sought to handle the cone-beam reconstruction. This paper presents a new approximate algorithm termed as oblique surface reconstruction (OSR). Theoretical considerations as well as the reconstruction of simulated phantom data in comparison to the current standard 180 degree(s) LI are presented. OSR is shown to be effective and practical to generate images with diagnostic quality.

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