dc.contributor.author | Zhao, Cong | |
dc.contributor.author | Chen, Xi | |
dc.contributor.author | Ouyang, Luo | |
dc.contributor.author | Wang, Jing | |
dc.contributor.author | Jin, Mingwu | |
dc.date.accessioned | 2018-06-26T01:01:20Z | |
dc.date.available | 2018-06-26T01:01:20Z | |
dc.date.issued | December 21, 2017 | |
dc.identifier.citation | Published in PLoS One 12(12): e0189620, 1-19, 2017 | en_US |
dc.identifier.uri | http://hdl.handle.net/10106/27500 | |
dc.description.abstract | Scatter contamination is one of the main sources of decreasing the image quality in cone-beam computed tomography (CBCT). The moving blocker method is economic and effective for scatter correction (SC), which can simultaneously estimate scatter and reconstruct the complete volume within the field of view (FOV) from a single CBCT scan. However, at the regions with large intensity transition in the projection images along the axial blocker moving direction, the estimation of scatter signal from blocked regions in a single projection view can produce large error and cause significant artifacts in reconstructed images and null the usability of these regions. Furthermore, blocker edge detection error can significantly deteriorate both primary signal and scatter signal estimation and lead to unacceptable reconstruction results. In this study, we propose to use the adjacent multi-view projection images to jointly estimate scatter signal more accurately. In return, the more accurately estimated scatter signal can be utilized to detect blocker edges more accurately for greatly improved robustness of moving-blocker based SC. The experimental results using a Catphan phantom and an anthropomorphic pelvis phantom CBCT data show that the new method can effectively suppress the estimation errors of scatter signal in the fast signal transition regions and is able to correct the blocker detection errors. This development will expand the utility of moving-blocker based SC for the target with sharp intensity
changes in the projection images and provide the needed robustness for its clinical translation. | en_US |
dc.description.sponsorship | The project is partially supported by National Institutes of Health/National Institute of Biomedical Imaging and Bioengineering under the grant number 1R03EB021600-02 (https://projectreporter.nih.gov/project_info_description.
cfm?aid=9182259&icde=30948525&ddparam=&ddvalue=&ddsub=&cr=2&csb=default&cs=ASC). | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | PLoS ONE | en_US |
dc.rights | Attribution 4.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/us/ | * |
dc.subject | Catphan phantom | en_US |
dc.subject | Anthropomorphic pelvis phantom | en_US |
dc.subject | Scatter correction -- multi-view | en_US |
dc.title | Robust moving-blocker scatter correction for cone-beam computed tomography using multiple-view information | en_US |
dc.type | Article | en_US |
dc.publisher.department | Department of Physics, The University of Texas at Arlington | en_US |
dc.identifier.externalLinkDescription | Available from the publisher at article DOI | en_US |
dc.identifier.doi | https://doi.org/10.1371/journal.pone.0189620 | |