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

Laigao Michael Chen; Dominic J. Heuscher; Yun Liang

doi:10.1117/12.409280

16 November 2000 Oblique surface reconstruction to approximate cone-beam helical data in multislice CT

Laigao Michael Chen, Dominic J. Heuscher, Yun Liang

Proceedings Volume 4123, Image Reconstruction from Incomplete Data; (2000) https://doi.org/10.1117/12.409280
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

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.

Citation Download Citation

Laigao Michael Chen, Dominic J. Heuscher, and Yun Liang "Oblique surface reconstruction to approximate cone-beam helical data in multislice CT", Proc. SPIE 4123, Image Reconstruction from Incomplete Data, (16 November 2000); https://doi.org/10.1117/12.409280

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