Paper
16 March 2007 Extended volume coverage in helical cone-beam CT by using PI-line based BPF algorithm
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Abstract
We compared data requirements of filtered-backprojection (FBP) and backprojection-filtration (BPF) algorithms based on PI-lines in helical cone-beam CT. Since the filtration process in FBP algorithm needs all the projection data of PI-lines for each view, the required detector size should be bigger than the size that can cover Tam-Danielsson (T-D) window to avoid data truncation. BPF algorithm, however, requires the projection data only within the T-D window, which means smaller detector size can be used to reconstruct the same image than that in FBP. In other words, a longer helical pitch can be obtained by using BPF algorithm without any truncation artifacts when a fixed detector size is given. The purpose of the work is to demonstrate numerically that extended volume coverage in helical cone-beam CT by using PI-line-based BPF algorithm can be achieved.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Seungryong Cho and Xiaochuan Pan "Extended volume coverage in helical cone-beam CT by using PI-line based BPF algorithm", Proc. SPIE 6510, Medical Imaging 2007: Physics of Medical Imaging, 651055 (16 March 2007); https://doi.org/10.1117/12.713237
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KEYWORDS
Reconstruction algorithms

Detection and tracking algorithms

Sensors

Algorithm development

Image segmentation

Image processing algorithms and systems

Image restoration

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