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Proceedings Paper

Utilization of redundancy in ROI reconstruction with backprojection filtration from fan-beam truncated data
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Paper Abstract

In fan-beam computed tomography (CT), one may be interested in image reconstruction in a region of interest (ROI) from truncated data acquired over an angular range less than half-scan data. We developed recently a backprojection filtration (BPF) algorithm to reconstruct an ROI image from reduced scan data containing data truncations. In a reduced scan, the truncated data may still contain redundancy. In this work, we describe a new algorithm that can exploit data redundancy in truncated data for potentially suppressing the aliasing and noise artifacts in reconstructed images. We have performed numerical studies to demonstrate the BPF algorithm.

Paper Details

Date Published: 29 April 2005
PDF: 5 pages
Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); doi: 10.1117/12.596136
Show Author Affiliations
Yu Zou, Univ. of Chicago (United States)
Xiaochuan Pan, Univ. of Chicago (United States)
Dan Xia, Univ. of Chicago (United States)

Published in SPIE Proceedings Vol. 5747:
Medical Imaging 2005: Image Processing
J. Michael Fitzpatrick; Joseph M. Reinhardt, Editor(s)

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