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|Title:||Toward Improving Breast Cancer Imaging: Radiological Assessment of Propagation-Based Phase-Contrast CT Technology||Contributor(s):||Tavakoli Taba, Seyedamir (author); Baran, Patrycja (author); Lewis, Sarah (author); Heard, Robert (author); Pacile, Serena (author); Mayo, Sherry C (author); Dullin, Christian (author); Dreossi, Diego (author); Arfelli, Fulvia (author); Thompson, Darren (author); McCormack, Mikkaela (author); Alakhras, Maram (author); Brun, Francesco (author); Pinamonti, Maurizio (author); Nickson, Carolyn (author); Hall, Chris (author); Zanconati, Fabrizio (author); Lockie, Darren (author); Quiney, Harry M (author); Tromba, Giuliana (author); Brennan, Patrick C (author); Gureyev, Timur E (author) ; Nesterets, Yakov I (author)||Publication Date:||2019-06||Early Online Version:||2018-08-25||DOI:||10.1016/j.acra.2018.07.008||Handle Link:||https://hdl.handle.net/1959.11/26839||Abstract:||Rationale and Objectives: This study employs clinical/radiological evaluation in establishing the optimum imaging conditions for breast cancer imaging using the X-ray propagation-based phase-contrast tomography. Materials and Methods: Two series of experiments were conducted and in total 161 synchrotron-based computed tomography (CT) reconstructions of one breast mastectomy specimen were produced at different imaging conditions. Imaging factors include sample-to-detector distance, X-ray energy, CT reconstruction method, phase retrieval algorithm applied to the CT projection images and maximum intensity projection. Observers including breast radiologists and medical imaging experts compared the quality of the reconstructed images with reference images approximating the conventional (absorption) CT. Various radiological image quality attributes in a visual grading analysis design were used for the radiological assessments. Results: The results show that the application of the longest achievable sample-to-detector distance (9.31 m), the lowest employed X-ray energy (32 keV), the full phase retrieval, and the maximum intensity projection can significantly improve the radiological quality of the image. Several combinations of imaging variables resulted in images with very high-quality scores. Conclusion: The results of the present study will support future experimental and clinical attempts to further optimize this innovative approach to breast cancer imaging.||Publication Type:||Journal Article||Grant Details:||NHMRC/APP 1138283||Source of Publication:||Academic Radiology, 26(6), p. e79-e89||Publisher:||Elsevier BV||Place of Publication:||The Netherlands||ISSN:||1076-6332
|Field of Research (FOR):||111202 Cancer Diagnosis||Socio-Economic Outcome Codes:||970111 Expanding Knowledge in the Medical and Health Sciences||Peer Reviewed:||Yes||HERDC Category Description:||C1 Refereed Article in a Scholarly Journal|
|Appears in Collections:||Journal Article|
School of Science and Technology
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