Imaging breast microcalcifications using dark-field signal in propagation-based phase-contrast tomography

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dc.contributor.authorAminzadeh, Aen_AU
dc.contributor.authorArhatari, BDen_AU
dc.contributor.authorMaksimenko, Aen_AU
dc.contributor.authorHall, CJen_AU
dc.contributor.authorHäusermann, Den_AU
dc.contributor.authorPeele, AGen_AU
dc.contributor.authorFox, Jen_AU
dc.contributor.authorKumar, Ben_AU
dc.contributor.authorProdanovic, Zen_AU
dc.contributor.authorDimmock, MRen_AU
dc.contributor.authorLockie, Den_AU
dc.contributor.authorPavlov, KMen_AU
dc.contributor.authorNesterets, YIen_AU
dc.contributor.authorThompson, Den_AU
dc.contributor.authorMayo, SCen_AU
dc.contributor.authorPaganin, DMen_AU
dc.contributor.authorTaba, STen_AU
dc.contributor.authorLewis, SJen_AU
dc.contributor.authorBrennan, PCen_AU
dc.contributor.authorQuiney, HMen_AU
dc.contributor.authorGureyev, TEen_AU
dc.date.accessioned2023-12-19T00:23:32Zen_AU
dc.date.available2023-12-19T00:23:32Zen_AU
dc.date.issued2022-05-18en_AU
dc.date.statistics2023-04-06en_AU
dc.description.abstractBreast microcalcifications are an important primary radiological indicator of breast cancer. However, microcalcification classification and diagnosis may be still challenging for radiologists due to limitations of the standard 2D mammography technique, including spatial and contrast resolution. In this study, we propose an approach to improve the detection of microcalcifications in propagation-based phase-contrast X-ray computed tomography of breast tissues. Five fresh mastectomies containing microcalcifications were scanned at different X-ray energies and radiation doses using synchrotron radiation. Both bright-field (i.e. conventional phase-retrieved images) and dark-field images were extracted from the same data sets using different image processing methods. A quantitative analysis was performed in terms of visibility and contrast-to-noise ratio of microcalcifications. The results show that while the signal-to-noise and the contrast-to-noise ratios are lower, the visibility of the microcalcifications is more than two times higher in the dark-field images compared to the bright-field images. Dark-field images have also provided more accurate information about the size and shape of the microcalcifications. © 2023 IEEEen_AU
dc.identifier.citationAminzadeh, A., Arhatari, B. D., Maksimenko, A., Hall, C. J., Hausermann, D., Peele, A. G., Fox, J., Kumar, B., Prodanovic, Z., Dimmock, M., Lockie, D., Pavlov, K. M., Nesterets, Y. I., Thompson, D., Mayo, S. C., Paganin, D. M., Taba, S. T., Lewis, S., Brennan, P. C., Quiney, H. M., & Gureyev, T. E. (2022). Imaging breast microcalcifications using dark-field signal in propagation-based phase-contrast tomography. IEEE Transactions on Medical Imaging, 41(11), 2980-2990. doi:10.1109/TMI.2022.3175924en_AU
dc.identifier.issn1558-254Xen_AU
dc.identifier.issue11en_AU
dc.identifier.journaltitleIEEE Transactions on Medical Imagingen_AU
dc.identifier.pagination2980-2990en_AU
dc.identifier.urihttps://doi.org/10.1109/TMI.2022.3175924en_AU
dc.identifier.urihttps://apo.ansto.gov.au/handle/10238/15287en_AU
dc.identifier.volume41en_AU
dc.language.isoenen_AU
dc.publisherIEEEen_AU
dc.subjectMammary glandsen_AU
dc.subjectNeoplasmsen_AU
dc.subjectContrast mediaen_AU
dc.subjectBiomedical radiographyen_AU
dc.subjectTomographyen_AU
dc.subjectSignal-to-noise-ratioen_AU
dc.subjectImagesen_AU
dc.titleImaging breast microcalcifications using dark-field signal in propagation-based phase-contrast tomographyen_AU
dc.typeJournal Articleen_AU
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