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Data-driven rapid 4D cone-beam CT reconstruction for new generation linacs

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dc.contributor.authorGardner, M.
dc.contributor.authorDillon, O.
dc.contributor.authorByrne, H.
dc.contributor.authorKeall, P.J.
dc.contributor.authorO'Brien, R.
dc.date.issued2024
dc.description.abstractObjective. Newer generation linear accelerators (Linacs) allow 20 s cone-beam CT (CBCT) acquisition which reduces radiation therapy treatment time. However, the current clinical application of these rapid scans is only 3DCBCT. In this paper we propose a novel data-driven rapid 4DCBCT reconstruction method for new generation linacs. Approach. This method relies on estimating the magnitude of the diaphragm motion from an initial 3D reconstruction. This estimated motion is used to linearly approximate a deformation vector field (DVF) for each respiration phase. These DVFs are then used for motion compensated Feldkamp–Davis–Kress (MCFDK) reconstructions. This method, named MCFDK Data Driven (MCFDK-DD), was compared to a MCFDK reconstruction using a prior motion model (MCFDK-Prior), a 3D-FDK reconstruction, and a conventional acquisition (4 mins) conventional reconstruction 4DCBCT (4D-FDK). The data used in this paper were derived from 4DCT volumes from 12 patients from The Cancer Imaging Archives. Image quality was quantified using RMSE of line plots centred on the tumour, tissue interface width (TIW), the mean square error (MSE) and structural similarity index measurement (SSIM). Main Results. The tumour line plots in the Superior-Inferior direction showed reduced RMSE for the MCFDK-DD compared to the 3D-FDK method, indicating the MCFDK-DD method provided a more accurate tumour location. Similarly, the TIW values from the MCFDK-DD reconstructions (median 8.6 mm) were significantly reduced for the MCFDK-DD method compared to the 3D-FDK reconstructions (median 14.8 mm, (p < 0.001). The MCFDK-DD, MCFDK-Prior and 3D-FDK had median MSE values of 1.08×10(−6) mm(−1), 1.11×10(−6) mm(−1) and 1.17×10(−6) mm(−1) respectively. The corresponding median SSIM values were 0.93, 0.92 and 0.92 respectively indicating the MCFDK-DD had good agreement with the conventional 4D-FDK reconstructions. Significance. These results demonstrate the feasibility of creating accurate data-driven 4DCBCT images for rapid scans on new generation linacs. These findings could lead to increased clinical usage of 4D information on newer generation linacs.
dc.description.statementofresponsibilityMark Gardner, Owen Dillon, Hilary Byrne, Paul Keall and Ricky O, Brien
dc.identifier.citationPhysics in Medicine and Biology, 2024; 69(18):18NT02-1-18NT02-14
dc.identifier.doi10.1088/1361-6560/ad780a
dc.identifier.issn0031-9155
dc.identifier.issn1361-6560
dc.identifier.orcidGardner, M. [0000-0003-4340-2547]
dc.identifier.urihttps://hdl.handle.net/2440/143787
dc.language.isoen
dc.publisherIOP Publishing
dc.relation.granthttp://purl.org/au-research/grants/nhmrc/1194004
dc.relation.granthttp://purl.org/au-research/grants/nhmrc/2014095
dc.relation.granthttp://purl.org/au-research/grants/nhmrc/2018592
dc.rights© 2024 The Author(s). Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
dc.source.urihttps://doi.org/10.1088/1361-6560/ad780a
dc.subject4DCBCT; MCFDK; rapid CBCT
dc.subject.meshHumans
dc.subject.meshRespiration
dc.subject.meshMovement
dc.subject.meshParticle Accelerators
dc.subject.meshTime Factors
dc.subject.meshImage Processing, Computer-Assisted
dc.subject.meshCone-Beam Computed Tomography
dc.subject.meshFour-Dimensional Computed Tomography
dc.titleData-driven rapid 4D cone-beam CT reconstruction for new generation linacs
dc.typeJournal article
pubs.publication-statusPublished

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