Optimization-based image reconstruction from sparse-view data in offset-detector CBCT Journal Article

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Authors: Bian, J.; Wang, J; Han, X; Sidky, E. Y.; Shao, L; Pan, X.
Article Title: Optimization-based image reconstruction from sparse-view data in offset-detector CBCT
Abstract: The field of view (FOV) of a cone-beam computed tomography (CBCT) unit in a single-photon emission computed tomography (SPECT)/CBCT system can be increased by offsetting the CBCT detector. Analytic-based algorithms have been developed for image reconstruction from data collected at a large number of densely sampled views in offset-detector CBCT. However, the radiation dose involved in a large number of projections can be of a health concern to the imaged subject. CBCT-imaging dose can be reduced by lowering the number of projections. As analytic-based algorithms are unlikely to reconstruct accurate images from sparse-view data, we investigate and characterize in the work optimization-based algorithms, including an adaptive steepest descent-weighted projection onto convex sets (ASD-WPOCS) algorithms, for image reconstruction from sparse-view data collected in offset-detector CBCT. Using simulated data and real data collected from a physical pelvis phantom and patient, we verify and characterize properties of the algorithms under study. Results of our study suggest that optimization-based algorithms such as ASD-WPOCS may be developed for yielding images of potential utility from a number of projections substantially smaller than those used currently in clinical SPECT/CBCT imaging, thus leading to a dose reduction in CBCT imaging.
Journal Title: Physics in Medicine and Biology
Volume: 58
Issue: 2
ISSN: 1361-6560; 0031-9155
Publisher: Unknown  
Journal Place: England
Date Published: 2013
Start Page: 205
End Page: 230
Language: eng
DOI/URL:

10.1088/0031-9155/58/2/205
Notes: LR: 20150219; GR: CA120540/CA/NCI NIH HHS/United States; GR: EB000225/EB/NIBIB NIH HHS/United States; GR: R01 CA120540/CA/NCI NIH HHS/United States; GR: R01 CA158446/CA/NCI NIH HHS/United States; GR: R01 EB000225/EB/NIBIB NIH HHS/United States; JID: 0401220; NIHMS432517; OID: NLM: NIHMS432517; OID: NLM: PMC3590115; 2012/12/21 [aheadofprint]; ppublish