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Toward Improving Breast Cancer Imaging: Radiological Assessment of Propagation-Based Phase-Contrast CT Technology

Seyedamir Tavakoli Taba, Patrycja Baran, Sarah Lewis, Robert Heard, Serena Pacile, Sherry C Mayo, Christian Dullin, Diego Dreossi, Fulvia Arfelli, Darren Thompson, Mikkaela McCormack, Maram Alakhras, Francesco Brun, Maurizio Pinamonti, Carolyn Nickson, Chris Hall, Fabrizio Zanconati, Darren Lockie, Harry M Quiney, Giuliana TrombaPatrick C Brennan, Timur E Gureyev, Yakov I Nesterets

Research output: Contribution to journalArticlepeer-review

32 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)e79-e89
JournalAcademic Radiology
Volume26
Issue number6
Early online date25 Aug 2018
DOIs
Publication statusPublished - Jun 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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