Algorithm-enabled exploration of image-quality potential of cone-beam CT in image-guided radiation therapy Journal Article

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Authors: Han, X; Pearson, E.; Pelizzari, C.; Al-Hallaq, H; Sidky, E. Y.; Bian, J.; Pan, X.
Article Title: Algorithm-enabled exploration of image-quality potential of cone-beam CT in image-guided radiation therapy
Abstract: Kilo-voltage (KV) cone-beam computed tomography (CBCT) unit mounted onto a linear accelerator treatment system, often referred to as on-board imager (OBI), plays an increasingly important role in image-guided radiation therapy. While the FDK algorithm is currently used for reconstructing images from clinical OBI data, optimization-based reconstruction has also been investigated for OBI CBCT. An optimization-based reconstruction involves numerous parameters, which can significantly impact reconstruction properties (or utility). The success of an optimization-based reconstruction for a particular class of practical applications thus relies strongly on appropriate selection of parameter values. In the work, we focus on tailoring the constrained-TV-minimization-based reconstruction, an optimization-based reconstruction previously shown of some potential for CBCT imaging conditions of practical interest, to OBI imaging through appropriate selection of parameter values. In particular, for given real data of phantoms and patient collected with OBI CBCT, we first devise utility metrics specific to OBI-quality-assurance tasks and then apply them to guiding the selection of parameter values in constrained-TV-minimization-based reconstruction. The study results show that the reconstructions are with improvement, relative to clinical FDK reconstruction, in both visualization and quantitative assessments in terms of the devised utility metrics.
Journal Title: Physics in Medicine and Biology
Volume: 60
Issue: 12
ISSN: 1361-6560; 0031-9155
Publisher: Unknown  
Journal Place: England
Date Published: 2015
Start Page: 4601
End Page: 4633
Language: eng
DOI/URL:

10.1088/0031-9155/60/12/4601
Notes: LR: 20160621; GR: CA158446/CA/NCI NIH HHS/United States; GR: CA182264/CA/NCI NIH HHS/United States; GR: EB018102/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 CA182264/CA/NCI NIH HHS/United States; GR: R01 EB000225/EB/NIBIB NIH HHS/United States; GR: R01 EB018102/EB/NIBIB NIH HHS/United States; GR: R01S EB000225/EB/NIBIB NIH HHS/United States; GR: UL1 TR000430/TR/NCATS NIH HHS/United States; JID: 0401220; NIHMS696628; OID: NLM: NIHMS696628; OID: NLM: PMC4610380; 2015/05/28 [aheadofprint]; ppublish