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Optimisation of chest computed tomography using a phantom: impact of mAs and reconstruction techniques on image quality

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dc.contributor.authorReis, Cláudia
dc.contributor.authorFaqir, T.
dc.contributor.authorHarsaker, V.
dc.contributor.authorHogg, Peter
dc.contributor.authorKristoffersen, L.
dc.contributor.authorvan Rein, I. L.
dc.contributor.authorStancombe, K.
dc.contributor.authorWarmerdam, N. C.
dc.contributor.authorWergeland, C.
dc.date.accessioned2016-12-22T18:26:14Z
dc.date.available2016-12-22T18:26:14Z
dc.date.issued2016
dc.description.abstractObjectives: To verify if the mAs and reconstruction techniques affect the visualisation of relevant structures in lung Computed Tomography (CT) using a phantom. Methods: Images were acquired using various mAs and reconstruction techniques. Image quality (IQ) was analysed applying two approaches: perceptual, using 5 observers and objective (edge gradient calculation) to verify the sharpness of the structures. Dose was recorded. Wilcoxon Signed Rank test was used to compare the data from the perceptual image analysis. P-values were calculated (Bonferroni-Correction method) to compare reconstruction techniques and mAs. A Kappa Test with linear weighting was performed to calculate the level of agreement between observers. Results: The Wilcoxon-Signed-Rank-Test showed no significant difference between the reconstruction techniques tested (p<0.05). In addition, the test showed no significant difference between any of the mAs values with a Bonferroni correction (p = 0.0167). For 10 mAs the observers scored differently, depending on which structures they were looking at. The overall IQ was acceptable and the nodules were well defined. The agreement for visualising the range of anatomical regions (Kappa test linear-weighting) suggests that observer 2 and 3 had a poor agreement level (0-0.366) and observer 1,4 and 5 had moderate agreement (0.5714-0.751). Conclusion: The visual measures of IQ were largely unaffected by reconstruction techniques or mAs values. However, further work is needed for a better understanding of visual and clinical value of reconstruction techniques at lower doses.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationReis CS, Faqir T, Harsaker V, Hogg P, Kristoffersen L, van Rein IL, et al. Optimisation of chest computed tomography using a phantom: impact of mAs and reconstruction techniques on image quality. In: Hogg P, Blakeley C, Buissink C, editors. OPTIMAX 2015 – Multicultural team-based research in radiography: a holistic educational approach. Groningen: Hanze University of Applied Sciences; 2016. p. 112-27.pt_PT
dc.identifier.isbn9781907842771
dc.identifier.urihttp://hdl.handle.net/10400.21/6668
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherHanze University of Applied Sciencespt_PT
dc.relation.publisherversionhttp://usir.salford.ac.uk/38008/1/Ebook%20Hanze%202015.pdfpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/pt_PT
dc.subjectLungs CTpt_PT
dc.subjectReconstruction techniquespt_PT
dc.subjectmAspt_PT
dc.subjectImage qualitypt_PT
dc.subjectOptimisation.pt_PT
dc.titleOptimisation of chest computed tomography using a phantom: impact of mAs and reconstruction techniques on image qualitypt_PT
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage127pt_PT
oaire.citation.startPage112pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typebookPartpt_PT

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