Energy optimisation of propagation-based phase-contrast computed tomography: a quantitative image quality assessment

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dc.contributor.authorLim, Ben_AU
dc.contributor.authorLewis, Sen_AU
dc.contributor.authorArhatari, BDen_AU
dc.contributor.authorNesterets, YIen_AU
dc.contributor.authorMayo, SCen_AU
dc.contributor.authorFox, Jen_AU
dc.contributor.authorThomposon, Den_AU
dc.contributor.authorKumar, Ben_AU
dc.contributor.authorHäusermann, Den_AU
dc.contributor.authorMaksimenko, Aen_AU
dc.contributor.authorHall, Cen_AU
dc.contributor.authorDimmock, Men_AU
dc.contributor.authorLockie, Den_AU
dc.contributor.authorRickard, Men_AU
dc.contributor.authorGiannoitti, Nen_AU
dc.contributor.authorPeele, AGen_AU
dc.contributor.authorQuiney, HMen_AU
dc.contributor.authorGureyev, TEen_AU
dc.contributor.authorBrennan, PCen_AU
dc.contributor.authorTaba, STen_AU
dc.date.accessioned2024-02-23T00:57:23Zen_AU
dc.date.available2024-02-23T00:57:23Zen_AU
dc.date.issued2022-04-04en_AU
dc.date.statistics2023-04-06en_AU
dc.description.abstractPurpose: This study aims at establishing the optimum x-ray energy for synchrotron acquired propagation-based computed tomography (PB-CT) images to obtain highest radiological image quality of breast mastectomy samples. It also examines the correlation between objective physical measures of image quality with subjective human observer scores to model factors impacting visual determinants of image quality. Approach: Thirty mastectomy samples were scanned at Australian Synchrotron’s Imaging and Medical Beamline. Samples were scanned at energies of 26, 28, 30, 32, 34, and 60 keV at a standard dose of 4mGy. Objective physical measures of image quality were assessed using signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), SNR/resolution (SNR/res), CNR/resolution (CNR/res) and visibility. Additional calculations for each measure were performed against reference absorption-based computer tomography (AB-CT) images scanned at 32 keV and 4mGy. This included differences in SNR (dSNR), CNR (dCNR), SNR/res (dSNR/res), CNR/res (dCNR/res), and visibility (dVis). Physical measures of image quality were also compared with visual grading analysis data to determine a correlation between observer scores and objective metrics. Results: For dSNR, dCNR, dSNR/res, dCNR/res, and dVis, a statistically significant difference was found between the energy levels. The peak x-ray energy for dSNR and dSNR/res was 60 keV. For dCNR and dCNR/res 34 keV produced the highest measure compared to 28 keV for dVis. Visibility and CNR correlate to 56.8% of observer scores. Conclusion: The optimal x-ray energy differs for different objective measures of image quality with 30-34 keV providing optimum image quality for breast PB-CT. Visibility and CNR correlate highest to medical imaging expert scores. © (2022) Society of Photo-Optical Instrumentation Engineers (SPIE).en_AU
dc.identifier.booktitleProceedings SPIE 12031, Medical Imaging 2022: Physics of Medical Imagingen_AU
dc.identifier.citationLim, B., Lewis, S., Arhatari, B. D., Nesterets, Y. I., Mayo, S. C., Thomposon, D., Fox, J., Kumar, B., Hausermann, D., Maksimenko, A., Hall, C., Dimmock, M., Lockie, D., Rickard, M., Giannotti, N., Peele, A., Quiney, H. M., Gureyev, T. E., Brennan, P. C., & Taba, S. T. (2022). Energy optimisation of propagation-based phase-contrast computed tomography: a quantitative image quality assessment. Poster presented to SPIE Medical Imaging, 20 February - 28 March 2022, San Diego, California, United States. In Proceedings SPIE 12031, Medical Imaging 2022: Physics of Medical Imaging, 120313O (4 April 2022). doi:10.1117/12.2608596en_AU
dc.identifier.conferenceenddate2022-03-28en_AU
dc.identifier.conferencenameSPIE Medical Imagingen_AU
dc.identifier.conferenceplaceSan Diego, Californiaen_AU
dc.identifier.conferencestartdate2022-03-20en_AU
dc.identifier.urihttps://doi.org/10.1117/12.2608596en_AU
dc.identifier.urihttps://apo.ansto.gov.au/handle/10238/15409en_AU
dc.identifier.volume12031en_AU
dc.language.isoenen_AU
dc.publisherSPIEen_AU
dc.subjectComputerized tomographyen_AU
dc.subjectImagesen_AU
dc.subjectMammary glandsen_AU
dc.subjectAustraliaen_AU
dc.subjectANSTOen_AU
dc.subjectSignal-to-noise-ratioen_AU
dc.subjectBeamsen_AU
dc.titleEnergy optimisation of propagation-based phase-contrast computed tomography: a quantitative image quality assessmenten_AU
dc.typeConference Posteren_AU
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