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

Authors :
Timur E. Gureyev
Patrick C. Brennan
Chris Hall
Carolyn Nickson
Serena Pacilè
Robert Heard
Harry M. Quiney
Fabrizio Zanconati
Darren Thompson
Seyedamir Tavakoli Taba
Christian Dullin
Yakov Nesterets
Giuliana Tromba
Maram Alakhras
S. C. Mayo
Sarah J. Lewis
Fulvia Arfelli
Darren Lockie
Patrycja Baran
Diego Dreossi
Francesco Brun
Mikkaela McCormack
Maurizio Pinamonti
Tavakoli Taba, Seyedamir
Baran, Patrycja
Lewis, Sarah
Heard, Robert
Pacile, Serena
Nesterets, Yakov I.
Mayo, Sherry C.
Dullin, Christian
Dreossi, Diego
Arfelli, Fulvia
Thompson, Darren
Mccormack, Mikkaela
Alakhras, Maram
Brun, Francesco
Pinamonti, Maurizio
Nickson, Carolyn
Hall, Chri
Zanconati, Fabrizio
Lockie, Darren
Quiney, Harry M
Tromba, Giuliana
Gureyev, Timur E
Brennan, Patrick C
Publication Year :
2018

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.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....486066d9d0caa4ec7c7059288f03816a