Energy optimisation of propagation-based phase-contrast computed tomography: a quantitative image quality assessment

Belinda Lim; Sarah Lewis; Benedicta D. Arhatari; Yakov I. Nesterets; Sheridan C. Mayo; Darren Thomposon; Jane Fox; Beena Kumar; Daniel Hausermann; Anton Maksimenko; Christopher Hall; Matthew Dimmock; Darren Lockie; Mary Rickard; Nicola Giannotti; Andrew Peele; Harry M. Quiney; Timur E. Gureyev; Patrick C. Brennan; Seyedamir Tavakoli Taba

doi:10.1117/12.2608596

Energy optimisation of propagation-based phase-contrast computed tomography: a quantitative image quality assessment

Belinda Lim, Sarah Lewis, Benedicta D. Arhatari, Yakov I. Nesterets, Sheridan C. Mayo, Darren Thomposon, Jane Fox, Beena Kumar, Daniel Hausermann, Anton Maksimenko, Christopher Hall, Matthew Dimmock, Darren Lockie, Mary Rickard, Nicola Giannotti, Andrew Peele, Harry M. Quiney, Timur E. Gureyev, Patrick C. Brennan, Seyedamir Tavakoli Taba

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

1 Citation (Scopus)

Abstract

Purpose: This study aims at establishing the optimum x-ray energy for synchrotron acquired propagation-based computed tomography (PB-CT) images to obtain highest radiological image quality of breast mastectomy samples. It also examines the correlation between objective physical measures of image quality with subjective human observer scores to model factors impacting visual determinants of image quality. Approach: Thirty mastectomy samples were scanned at Australian Synchrotron's Imaging and Medical Beamline. Samples were scanned at energies of 26, 28, 30, 32, 34, and 60 keV at a standard dose of 4mGy. Objective physical measures of image quality were assessed using signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), SNR/resolution (SNR/res), CNR/resolution (CNR/res) and visibility. Additional calculations for each measure were performed against reference absorption-based computer tomography (AB-CT) images scanned at 32 keV and 4mGy. This included differences in SNR (dSNR), CNR (dCNR), SNR/res (dSNR/res), CNR/res (dCNR/res), and visibility (dVis). Physical measures of image quality were also compared with visual grading analysis data to determine a correlation between observer scores and objective metrics. Results: For dSNR, dCNR, dSNR/res, dCNR/res, and dVis, a statistically significant difference was found between the energy levels. The peak x-ray energy for dSNR and dSNR/res was 60 keV. For dCNR and dCNR/res 34 keV produced the highest measure compared to 28 keV for dVis. Visibility and CNR correlate to 56.8% of observer scores. Conclusion: The optimal x-ray energy differs for different objective measures of image quality with 30-34 keV providing optimum image quality for breast PB-CT. Visibility and CNR correlate highest to medical imaging expert scores.

Original language	English
Title of host publication	Medical Imaging 2022
Subtitle of host publication	Physics of Medical Imaging
Editors	Wei Zhao, Lifeng Yu
Place of Publication	United States
Publisher	SPIE - International Society for Optical Engineering
Number of pages	15
ISBN (Electronic)	9781510649385
ISBN (Print)	9781510649378
DOIs	https://doi.org/10.1117/12.2608596
Publication status	Published - 2022
Event	Conference on Medical Imaging - Physics of Medical Imaging 2022 - Online and in person, San Diego, United States of America Duration: 21 Mar 2022 → 27 Mar 2022 https://www.spiedigitallibrary.org/conference-proceedings-of-SPIE/12031.toc

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	12031
ISSN (Print)	1605-7422
ISSN (Electronic)	2410-9045

Conference

Conference	Conference on Medical Imaging - Physics of Medical Imaging 2022
Country/Territory	United States of America
City	San Diego
Period	21/03/22 → 27/03/22
Internet address	https://www.spiedigitallibrary.org/conference-proceedings-of-SPIE/12031.toc

Keywords

breast imaging
Breast neoplasms
phase-contrast imaging
propagation-based phase-contrast tomography
quantitative image quality

Access to Document

10.1117/12.2608596

Cite this

Lim, B., Lewis, S., Arhatari, B. D., Nesterets, Y. I., Mayo, S. C., Thomposon, D., Fox, J., Kumar, B., Hausermann, D., Maksimenko, A., Hall, C., Dimmock, M., Lockie, D., Rickard, M., Giannotti, N., Peele, A., Quiney, H. M., Gureyev, T. E., Brennan, P. C., & Taba, S. T. (2022). Energy optimisation of propagation-based phase-contrast computed tomography: a quantitative image quality assessment. In W. Zhao, & L. Yu (Eds.), Medical Imaging 2022: Physics of Medical Imaging Article 120313O (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 12031). SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2608596

Lim, Belinda ; Lewis, Sarah ; Arhatari, Benedicta D. et al. / Energy optimisation of propagation-based phase-contrast computed tomography : a quantitative image quality assessment. Medical Imaging 2022: Physics of Medical Imaging. editor / Wei Zhao ; Lifeng Yu. United States : SPIE - International Society for Optical Engineering, 2022. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE).

@inproceedings{d547da8b1d4547cd95ca0daab09e8f16,

title = "Energy optimisation of propagation-based phase-contrast computed tomography: a quantitative image quality assessment",

abstract = "Purpose: This study aims at establishing the optimum x-ray energy for synchrotron acquired propagation-based computed tomography (PB-CT) images to obtain highest radiological image quality of breast mastectomy samples. It also examines the correlation between objective physical measures of image quality with subjective human observer scores to model factors impacting visual determinants of image quality. Approach: Thirty mastectomy samples were scanned at Australian Synchrotron's Imaging and Medical Beamline. Samples were scanned at energies of 26, 28, 30, 32, 34, and 60 keV at a standard dose of 4mGy. Objective physical measures of image quality were assessed using signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), SNR/resolution (SNR/res), CNR/resolution (CNR/res) and visibility. Additional calculations for each measure were performed against reference absorption-based computer tomography (AB-CT) images scanned at 32 keV and 4mGy. This included differences in SNR (dSNR), CNR (dCNR), SNR/res (dSNR/res), CNR/res (dCNR/res), and visibility (dVis). Physical measures of image quality were also compared with visual grading analysis data to determine a correlation between observer scores and objective metrics. Results: For dSNR, dCNR, dSNR/res, dCNR/res, and dVis, a statistically significant difference was found between the energy levels. The peak x-ray energy for dSNR and dSNR/res was 60 keV. For dCNR and dCNR/res 34 keV produced the highest measure compared to 28 keV for dVis. Visibility and CNR correlate to 56.8% of observer scores. Conclusion: The optimal x-ray energy differs for different objective measures of image quality with 30-34 keV providing optimum image quality for breast PB-CT. Visibility and CNR correlate highest to medical imaging expert scores.",

keywords = "breast imaging, Breast neoplasms, phase-contrast imaging, propagation-based phase-contrast tomography, quantitative image quality",

author = "Belinda Lim and Sarah Lewis and Arhatari, {Benedicta D.} and Nesterets, {Yakov I.} and Mayo, {Sheridan C.} and Darren Thomposon and Jane Fox and Beena Kumar and Daniel Hausermann and Anton Maksimenko and Christopher Hall and Matthew Dimmock and Darren Lockie and Mary Rickard and Nicola Giannotti and Andrew Peele and Quiney, {Harry M.} and Gureyev, {Timur E.} and Brennan, {Patrick C.} and Taba, {Seyedamir Tavakoli}",

note = "Funding Information: The authors are thankful to all patients and clinicians who contributed to this study by providing the mastectomy samples. Publisher Copyright: {\textcopyright} 2022 SPIE.; Conference on Medical Imaging - Physics of Medical Imaging 2022 ; Conference date: 21-03-2022 Through 27-03-2022",

year = "2022",

doi = "10.1117/12.2608596",

language = "English",

isbn = "9781510649378",

series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

publisher = "SPIE - International Society for Optical Engineering",

editor = "Wei Zhao and Lifeng Yu",

booktitle = "Medical Imaging 2022",

address = "United States of America",

url = "https://www.spiedigitallibrary.org/conference-proceedings-of-SPIE/12031.toc",

}

Lim, B, Lewis, S, Arhatari, BD, Nesterets, YI, Mayo, SC, Thomposon, D, Fox, J, Kumar, B, Hausermann, D, Maksimenko, A, Hall, C, Dimmock, M, Lockie, D, Rickard, M, Giannotti, N, Peele, A, Quiney, HM, Gureyev, TE, Brennan, PC & Taba, ST 2022, Energy optimisation of propagation-based phase-contrast computed tomography: a quantitative image quality assessment. in W Zhao & L Yu (eds), Medical Imaging 2022: Physics of Medical Imaging., 120313O, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 12031, SPIE - International Society for Optical Engineering, United States, Conference on Medical Imaging - Physics of Medical Imaging 2022, San Diego, California, United States of America, 21/03/22. https://doi.org/10.1117/12.2608596

Energy optimisation of propagation-based phase-contrast computed tomography: a quantitative image quality assessment. / Lim, Belinda; Lewis, Sarah; Arhatari, Benedicta D. et al.
Medical Imaging 2022: Physics of Medical Imaging. ed. / Wei Zhao; Lifeng Yu. United States: SPIE - International Society for Optical Engineering, 2022. 120313O (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 12031).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Energy optimisation of propagation-based phase-contrast computed tomography

T2 - Conference on Medical Imaging - Physics of Medical Imaging 2022

AU - Lim, Belinda

AU - Lewis, Sarah

AU - Arhatari, Benedicta D.

AU - Nesterets, Yakov I.

AU - Mayo, Sheridan C.

AU - Thomposon, Darren

AU - Fox, Jane

AU - Kumar, Beena

AU - Hausermann, Daniel

AU - Maksimenko, Anton

AU - Hall, Christopher

AU - Dimmock, Matthew

AU - Lockie, Darren

AU - Rickard, Mary

AU - Giannotti, Nicola

AU - Peele, Andrew

AU - Quiney, Harry M.

AU - Gureyev, Timur E.

AU - Brennan, Patrick C.

AU - Taba, Seyedamir Tavakoli

PY - 2022

Y1 - 2022

N2 - Purpose: This study aims at establishing the optimum x-ray energy for synchrotron acquired propagation-based computed tomography (PB-CT) images to obtain highest radiological image quality of breast mastectomy samples. It also examines the correlation between objective physical measures of image quality with subjective human observer scores to model factors impacting visual determinants of image quality. Approach: Thirty mastectomy samples were scanned at Australian Synchrotron's Imaging and Medical Beamline. Samples were scanned at energies of 26, 28, 30, 32, 34, and 60 keV at a standard dose of 4mGy. Objective physical measures of image quality were assessed using signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), SNR/resolution (SNR/res), CNR/resolution (CNR/res) and visibility. Additional calculations for each measure were performed against reference absorption-based computer tomography (AB-CT) images scanned at 32 keV and 4mGy. This included differences in SNR (dSNR), CNR (dCNR), SNR/res (dSNR/res), CNR/res (dCNR/res), and visibility (dVis). Physical measures of image quality were also compared with visual grading analysis data to determine a correlation between observer scores and objective metrics. Results: For dSNR, dCNR, dSNR/res, dCNR/res, and dVis, a statistically significant difference was found between the energy levels. The peak x-ray energy for dSNR and dSNR/res was 60 keV. For dCNR and dCNR/res 34 keV produced the highest measure compared to 28 keV for dVis. Visibility and CNR correlate to 56.8% of observer scores. Conclusion: The optimal x-ray energy differs for different objective measures of image quality with 30-34 keV providing optimum image quality for breast PB-CT. Visibility and CNR correlate highest to medical imaging expert scores.

AB - Purpose: This study aims at establishing the optimum x-ray energy for synchrotron acquired propagation-based computed tomography (PB-CT) images to obtain highest radiological image quality of breast mastectomy samples. It also examines the correlation between objective physical measures of image quality with subjective human observer scores to model factors impacting visual determinants of image quality. Approach: Thirty mastectomy samples were scanned at Australian Synchrotron's Imaging and Medical Beamline. Samples were scanned at energies of 26, 28, 30, 32, 34, and 60 keV at a standard dose of 4mGy. Objective physical measures of image quality were assessed using signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), SNR/resolution (SNR/res), CNR/resolution (CNR/res) and visibility. Additional calculations for each measure were performed against reference absorption-based computer tomography (AB-CT) images scanned at 32 keV and 4mGy. This included differences in SNR (dSNR), CNR (dCNR), SNR/res (dSNR/res), CNR/res (dCNR/res), and visibility (dVis). Physical measures of image quality were also compared with visual grading analysis data to determine a correlation between observer scores and objective metrics. Results: For dSNR, dCNR, dSNR/res, dCNR/res, and dVis, a statistically significant difference was found between the energy levels. The peak x-ray energy for dSNR and dSNR/res was 60 keV. For dCNR and dCNR/res 34 keV produced the highest measure compared to 28 keV for dVis. Visibility and CNR correlate to 56.8% of observer scores. Conclusion: The optimal x-ray energy differs for different objective measures of image quality with 30-34 keV providing optimum image quality for breast PB-CT. Visibility and CNR correlate highest to medical imaging expert scores.

KW - breast imaging

KW - Breast neoplasms

KW - phase-contrast imaging

KW - propagation-based phase-contrast tomography

KW - quantitative image quality

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U2 - 10.1117/12.2608596

DO - 10.1117/12.2608596

M3 - Conference Paper

AN - SCOPUS:85131204045

SN - 9781510649378

T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Medical Imaging 2022

A2 - Zhao, Wei

A2 - Yu, Lifeng

PB - SPIE - International Society for Optical Engineering

CY - United States

Y2 - 21 March 2022 through 27 March 2022

ER -

Lim B, Lewis S, Arhatari BD, Nesterets YI, Mayo SC, Thomposon D et al. Energy optimisation of propagation-based phase-contrast computed tomography: a quantitative image quality assessment. In Zhao W, Yu L, editors, Medical Imaging 2022: Physics of Medical Imaging. United States: SPIE - International Society for Optical Engineering. 2022. 120313O. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE). doi: 10.1117/12.2608596

Energy optimisation of propagation-based phase-contrast computed tomography: a quantitative image quality assessment

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Keywords

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