In:
PLOS ONE, Public Library of Science (PLoS), Vol. 17, No. 8 ( 2022-8-26), p. e0272639-
Abstract:
The uncertainties of four-dimensional computed tomography (4DCT), also called as residual motion artefacts (RMA), induced from irregular respiratory patterns can degrade the quality of overall radiotherapy. This study aims to quantify and reduce those uncertainties. A comparative study on quantitative indicators for RMA was performed, and based on this, we proposed a new 4DCT sorting method that is applicable without disrupting the current clinical workflow. In addition to the default phase sorting strategy, both additional amplitude information from external surrogates and the quantitative metric for RMA, investigated in this study, were introduced. The comparison of quantitative indicators and the performance of the proposed sorting method were evaluated via 10 cases of breath-hold (BH) CT and 30 cases of 4DCT. It was confirmed that N-RMSD (normalised root-mean-square-deviation) was best matched to the visual standards of our institute’s regime, manual sorting method, and could accurately represent RMA. The performance of the proposed method to reduce 4DCT uncertainties was improved by about 18.8% in the averaged value of N-RMSD compared to the default phase sorting method. To the best of our knowledge, this is the first study that evaluates RMA indicators using both BHCT and 4DCT with visual-criteria-based manual sorting and proposes an improved 4DCT sorting strategy based on them.
Type of Medium:
Online Resource
ISSN:
1932-6203
DOI:
10.1371/journal.pone.0272639
DOI:
10.1371/journal.pone.0272639.g001
DOI:
10.1371/journal.pone.0272639.g002
DOI:
10.1371/journal.pone.0272639.g003
DOI:
10.1371/journal.pone.0272639.g004
DOI:
10.1371/journal.pone.0272639.g005
DOI:
10.1371/journal.pone.0272639.g006
DOI:
10.1371/journal.pone.0272639.g007
DOI:
10.1371/journal.pone.0272639.g008
DOI:
10.1371/journal.pone.0272639.g009
DOI:
10.1371/journal.pone.0272639.g010
DOI:
10.1371/journal.pone.0272639.g011
DOI:
10.1371/journal.pone.0272639.g012
DOI:
10.1371/journal.pone.0272639.g013
DOI:
10.1371/journal.pone.0272639.g014
DOI:
10.1371/journal.pone.0272639.g015
DOI:
10.1371/journal.pone.0272639.g016
DOI:
10.1371/journal.pone.0272639.g017
DOI:
10.1371/journal.pone.0272639.t001
DOI:
10.1371/journal.pone.0272639.t002
DOI:
10.1371/journal.pone.0272639.t003
DOI:
10.1371/journal.pone.0272639.t004
DOI:
10.1371/journal.pone.0272639.t005
DOI:
10.1371/journal.pone.0272639.t006
DOI:
10.1371/journal.pone.0272639.t007
DOI:
10.1371/journal.pone.0272639.s001
DOI:
10.1371/journal.pone.0272639.s002
DOI:
10.1371/journal.pone.0272639.s003
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2022
detail.hit.zdb_id:
2267670-3
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