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Proceedings Paper

A preliminary investigation of ROI-image reconstruction with the rebinned BPF algorithm
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Paper Abstract

The back-projection filtration (BPF)algorithm is capable of reconstructing ROI images from truncated data acquired with a wide class of general trajectories. However, it has been observed that, similar to other algorithms for convergent beam geometries, the BPF algorithm involves a spatially varying weighting factor in the backprojection step. This weighting factor can not only increase the computation load, but also amplify the noise in reconstructed images The weighting factor can be eliminated by appropriately rebinning the measured cone-beam data into fan-parallel-beam data. Such an appropriate data rebinning not only removes the weighting factor, but also retain other favorable properties of the BPF algorithm. In this work, we conduct a preliminary study of the rebinned BPF algorithm and its noise property. Specifically, we consider an application in which the detector and source can move in several directions for achieving ROI data acquisition. The combined motion of the detector and source generally forms a complex trajectory. We investigate in this work image reconstruction within an ROI from data acquired in this kind of applications.

Paper Details

Date Published: 18 March 2008
PDF: 5 pages
Proc. SPIE 6913, Medical Imaging 2008: Physics of Medical Imaging, 69132I (18 March 2008); doi: 10.1117/12.772096
Show Author Affiliations
Junguo Bian, The Univ. of Chicago (United States)
Dan Xia, The Univ. of Chicago (United States)
Lifeng Yu, Mayo Clinic (United States)
Emil Y. Sidky, The Univ. of Chicago (United States)
Xiaochuan Pan, The Univ. of Chicago (United States)

Published in SPIE Proceedings Vol. 6913:
Medical Imaging 2008: Physics of Medical Imaging
Jiang Hsieh; Ehsan Samei, Editor(s)

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