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Proceedings Paper

Region of interest reconstruction from truncated data in circular cone-beam CT
Author(s): Lifeng Yu; Dan Xia; Yu Zou; Xiaochuan Pan; Charles Pelizzari; Peter Munro
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Paper Abstract

In many applications of circular cone-beam CT, it is not uncommon that the size of the field of view (FOV) is smaller than that of the imaging object, thus leading to transverse truncation in projection data. Exact reconstruction in any region is not possible from such truncated data using conventional algorithms. Recently, an exact algorithm for image reconstruction on PI-line segments in helical cone-beam CT has been proposed. This algorithm, which we refer to as the backprojection-filtration (BPF) algorithm, can naturally address the problem of exact region of interest (ROI) reconstruction from such truncated data. In this work, we modified this algorithm to reconstructing images in circular cone-beam scan. The unique property of this modified algorithm is that it can reconstruct exact ROIs in midplane and approximate ROIs in other planes from transversely truncated data. We have performed computer-simulation studies to validate the theoretical assertions. Preliminary results demonstrate that the proposed algorithm provides a solution to the truncation problems caused by limited FOV size.

Paper Details

Date Published: 29 April 2005
PDF: 7 pages
Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); doi: 10.1117/12.595893
Show Author Affiliations
Lifeng Yu, Univ. of Chicago (United States)
Dan Xia, Univ. of Chicago (United States)
Yu Zou, Univ. of Chicago (United States)
Xiaochuan Pan, Univ. of Chicago (United States)
Charles Pelizzari, Univ. of Chicago (United States)
Peter Munro, Varian Medical Systems, Inc. (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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