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dc.contributor.authorHu, Y-Hen_US
dc.contributor.authorRottmann, Jen_US
dc.contributor.authorFueglistaller, Ren_US
dc.contributor.authorMyronakis, Men_US
dc.contributor.authorWang, Aen_US
dc.contributor.authorHuber, Pen_US
dc.contributor.authorShedlock, Den_US
dc.contributor.authorMorf, Den_US
dc.contributor.authorBaturin, Pen_US
dc.contributor.authorStar-Lack, Jen_US
dc.contributor.authorBerbeco, Ren_US
dc.coverage.spatialEnglanden_US
dc.date.accessioned2019-02-26T14:22:44Z
dc.date.issued2018-01-30en_US
dc.identifierhttps://www.ncbi.nlm.nih.gov/pubmed/29235440en_US
dc.identifier.citationPhys Med Biol, 2018, 63 (3), pp. 035022 - ?en_US
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/3099
dc.identifier.eissn1361-6560en_US
dc.identifier.doi10.1088/1361-6560/aaa160en_US
dc.description.abstractWhile megavoltage cone-beam computed tomography (CBCT) using an electronic portal imaging device (EPID) provides many advantages over kilovoltage (kV) CBCT, clinical adoption is limited by its high doses. Multi-layer imager (MLI) EPIDs increase DQE(0) while maintaining high resolution. However, even well-designed, high-performance MLIs suffer from increased electronic noise from each readout, degrading low-dose image quality. To improve low-dose performance, shift-and-bin addition (ShiBA) imaging is proposed, leveraging the unique architecture of the MLI. ShiBA combines hardware readout-binning and super-resolution concepts, reducing electronic noise while maintaining native image sampling. The imaging performance of full-resolution (FR); standard, aligned binned (BIN); and ShiBA images in terms of noise power spectrum (NPS), electronic NPS, modulation transfer function (MTF), and the ideal observer signal-to-noise ratio (SNR)-the detectability index (d')-are compared. The FR 4-layer readout of the prototype MLI exhibits an electronic NPS magnitude 6-times higher than a state-of-the-art single layer (SLI) EPID. Although the MLI is built on the same readout platform as the SLI, with each layer exhibiting equivalent electronic noise, the multi-stage readout of the MLI results in electronic noise 50% higher than simple summation. Electronic noise is mitigated in both BIN and ShiBA imaging, reducing its total by ~12 times. ShiBA further reduces the NPS, effectively upsampling the image, resulting in a multiplication by a sinc2 function. Normalized NPS show that neither ShiBA nor BIN otherwise affects image noise. The LSF shows that ShiBA removes the pixilation artifact of BIN images and mitigates the effect of detector shift, but does not quantifiably improve the MTF. ShiBA provides a pre-sampled representation of the images, mitigating phase dependence. Hardware binning strategies lower the quantum noise floor, with 2  ×  2 implementation reducing the dose at which DQE(0) degrades by 10% from 0.01 MU to 0.004 MU, representing 20% improvement in d'.en_US
dc.format.extent035022 - ?en_US
dc.languageengen_US
dc.language.isoengen_US
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_US
dc.subjectCone-Beam Computed Tomographyen_US
dc.subjectHumansen_US
dc.subjectMolecular Imagingen_US
dc.subjectPhantoms, Imagingen_US
dc.subjectRadiation Dosageen_US
dc.subjectSignal-To-Noise Ratioen_US
dc.titleLeveraging multi-layer imager detector design to improve low-dose performance for megavoltage cone-beam computed tomography.en_US
dc.typeJournal Article
rioxxterms.versionofrecord10.1088/1361-6560/aaa160en_US
rioxxterms.licenseref.startdate2018-01-30en_US
rioxxterms.typeJournal Article/Reviewen_US
dc.relation.isPartOfPhys Med Biolen_US
pubs.issue3en_US
pubs.notesNot knownen_US
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Multimodality Molecular Imaging
pubs.publication-statusPublished onlineen_US
pubs.volume63en_US
pubs.embargo.termsNot knownen_US
icr.researchteamMultimodality Molecular Imagingen_US
dc.contributor.icrauthorMyronakis, Mariosen_US


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