TY - JOUR
T1 - Region of interest reconstruction from truncated data in circular cone-beam CT
AU - Yu, Lifeng
AU - Zou, Yu
AU - Sidky, Emil Y.
AU - Pelizzari, Charles A.
AU - Munro, Peter
AU - Pan, Xiaochuan
N1 - Funding Information:
Manuscript received October 3, 2005; revised January 20, 2006. This work was supported by the National Institutes of Health under Grant EB00225 and Grant EB02765. The work of E. Y. Sidky was supported by the National Institutes of Health under Grant EB003913. Asterisk indicates corresponding author. L. Yu, Y. Zou, and E. Y. Sidky are with the Department of Radiology, The University of Chicago, Chicago, IL 60637 USA. C. A. Pelizzari is with Department of Radiation and Cellular Oncology, The University of Chicago, Chicago, IL 60637 USA. P. Munro is with Varian Medical Systems, Palo Alto, CA 94304 USA. *X. Pan is with the Department of Radiology, The University of Chicago, Chicago, IL 60637 USA (e-mail: xpan@uchicago.edu). Digital Object Identifier 10.1109/TMI.2006.872329
PY - 2006/7
Y1 - 2006/7
N2 - The circular scanning trajectory is one of the most widely adopted data-acquisition configurations in computed tomography (CT). The Feldkamp, Davis, Kress (FDK) algorithm and its various modifications have been developed for reconstructing approximately three-dimensional images from circular cone-beam data. When data contain transverse truncations, however, these algorithms may reconstruct images with significant truncation artifacts. It is of practical significance to develop algorithms that can reconstruct region-of-interest (ROI) images from truncated circular cone-beam data that are free of truncation artifacts and that have an accuracy comparable to that obtained from nontruncated cone-beam data. In this work, we have investigated and developed a backprojection-filtration (BPF)-based algorithm for ROI-image reconstruction from circular cone-beam data containing transverse truncations. Furthermore, we have developed a weighted BPF algorithm to exploit "redundant" information in data for improving image quality. In an effort to validate and evaluate the proposed BPF algorithms for circular cone-beam CT, we have performed numerical studies by using both computer-simulation data and experimental data acquired with a radiotherapy cone-beam CT system. Quantitative results in these studies demonstrate that the proposed BPF algorithms for circular cone-beam CT can reconstruct ROI images free of truncation artifacts.
AB - The circular scanning trajectory is one of the most widely adopted data-acquisition configurations in computed tomography (CT). The Feldkamp, Davis, Kress (FDK) algorithm and its various modifications have been developed for reconstructing approximately three-dimensional images from circular cone-beam data. When data contain transverse truncations, however, these algorithms may reconstruct images with significant truncation artifacts. It is of practical significance to develop algorithms that can reconstruct region-of-interest (ROI) images from truncated circular cone-beam data that are free of truncation artifacts and that have an accuracy comparable to that obtained from nontruncated cone-beam data. In this work, we have investigated and developed a backprojection-filtration (BPF)-based algorithm for ROI-image reconstruction from circular cone-beam data containing transverse truncations. Furthermore, we have developed a weighted BPF algorithm to exploit "redundant" information in data for improving image quality. In an effort to validate and evaluate the proposed BPF algorithms for circular cone-beam CT, we have performed numerical studies by using both computer-simulation data and experimental data acquired with a radiotherapy cone-beam CT system. Quantitative results in these studies demonstrate that the proposed BPF algorithms for circular cone-beam CT can reconstruct ROI images free of truncation artifacts.
KW - Computed tomography (CT)
KW - Cone-beam CT
KW - Image reconstruction
KW - Region of interest (ROI)
KW - Truncated projection
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U2 - 10.1109/TMI.2006.872329
DO - 10.1109/TMI.2006.872329
M3 - Article
C2 - 16827488
AN - SCOPUS:33746255366
SN - 0278-0062
VL - 25
SP - 869
EP - 881
JO - IEEE transactions on medical imaging
JF - IEEE transactions on medical imaging
IS - 7
M1 - 1644803
ER -