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

Author(s)

Tavakoli Taba, Seyedamir

Baran, Patrycja

Lewis, Sarah

Heard, Robert

Pacile, Serena

Mayo, Sherry C

Dullin, Christian

Dreossi, Diego

Arfelli, Fulvia

Thompson, Darren

McCormack, Mikkaela

Alakhras, Maram

Brun, Francesco

Pinamonti, Maurizio

Nickson, Carolyn

Hall, Chris

Zanconati, Fabrizio

Lockie, Darren

Quiney, Harry M

Tromba, Giuliana

Brennan, Patrick C

Gureyev, Timur E

Nesterets, Yakov I

Publication Date

2019-06

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.

Citation

Academic Radiology, 26(6), p. e79-e89

ISSN

1878-4046

1076-6332

Pubmed ID

30149975

Link

https://hdl.handle.net/1959.11/26839

Publisher

Elsevier BV

Title

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

Type of document

Journal Article

Entity Type

Publication

Author(s)	Tavakoli Taba, Seyedamir Baran, Patrycja Lewis, Sarah Heard, Robert Pacile, Serena Mayo, Sherry C Dullin, Christian Dreossi, Diego Arfelli, Fulvia Thompson, Darren McCormack, Mikkaela Alakhras, Maram Brun, Francesco Pinamonti, Maurizio Nickson, Carolyn Hall, Chris Zanconati, Fabrizio Lockie, Darren Quiney, Harry M Tromba, Giuliana Brennan, Patrick C Gureyev, Timur E Nesterets, Yakov I
Publication Date	2019-06
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.
Citation	Academic Radiology, 26(6), p. e79-e89
ISSN	1878-4046 1076-6332
Pubmed ID	30149975
Link	https://hdl.handle.net/1959.11/26839
Publisher	Elsevier BV
Title	Toward Improving Breast Cancer Imaging: Radiological Assessment of Propagation-Based Phase-Contrast CT Technology
Type of document	Journal Article
Entity Type	Publication

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

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