Accurate measures of changes in regional lung air volumes from chest x-rays of small animals

D. W. O’Connell; K. S. Morgan; G. Ruben; L. C.P. Croton; J. A. Pollock; M. K. Croughan; E. V. McGillick; M. J. Wallace; K. J. Crossley; E. J. Pryor; R. A. Lewis; S. B. Hooper; M. J. Kitchen

doi:10.1088/1361-6560/ac934d

Accurate measures of changes in regional lung air volumes from chest x-rays of small animals

D. W. O’Connell, K. S. Morgan, G. Ruben, L. C.P. Croton, J. A. Pollock, M. K. Croughan, E. V. McGillick, M. J. Wallace, K. J. Crossley, E. J. Pryor, R. A. Lewis, S. B. Hooper, M. J. Kitchen

Research output: Contribution to journal › Article › Research › peer-review

3 Citations (Scopus)

Abstract

Objective. To develop a robust technique for calculating regional volume changes within the lung from x-ray radiograph sequences captured during ventilation, without the use of computed tomography (CT).

Approach. This technique is based on the change in transmitted x-ray intensity that occurs for each lung region as air displaces the attenuating lung tissue.

Main results. Lung air volumes calculated from x-ray intensity changes showed a strong correlation (R ² = 0.98) against the true volumes, measured from high-resolution CT. This correlation enables us to accurately convert projected intensity data into relative changes in lung air volume. We have applied this technique to measure changes in regional lung volumes from x-ray image sequences of mechanically ventilated, recently-deceased newborn rabbits, without the use of CT.

Significance. This method is suitable for biomedical research studies,enabling quantitative regional measurement of relative lung air volumes at high temporal resolution, and shows great potential for future clinical application.

Original language	English
Article number	205002
Number of pages	11
Journal	Physics in Medicine & Biology
Volume	67
Issue number	20
DOIs	https://doi.org/10.1088/1361-6560/ac934d
Publication status	Published - 21 Oct 2022

Keywords

dynamic imaging
lung air volume
lung imaging
pre-clinical imaging
x-ray attenuation

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10.1088/1361-6560/ac934d

Cite this

O’Connell, D. W., Morgan, K. S., Ruben, G., Croton, L. C. P., Pollock, J. A., Croughan, M. K., McGillick, E. V., Wallace, M. J., Crossley, K. J., Pryor, E. J., Lewis, R. A., Hooper, S. B., & Kitchen, M. J. (2022). Accurate measures of changes in regional lung air volumes from chest x-rays of small animals. Physics in Medicine & Biology, 67(20), Article 205002. https://doi.org/10.1088/1361-6560/ac934d

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title = "Accurate measures of changes in regional lung air volumes from chest x-rays of small animals",

abstract = "Objective. To develop a robust technique for calculating regional volume changes within the lung from x-ray radiograph sequences captured during ventilation, without the use of computed tomography (CT). Approach. This technique is based on the change in transmitted x-ray intensity that occurs for each lung region as air displaces the attenuating lung tissue. Main results. Lung air volumes calculated from x-ray intensity changes showed a strong correlation (R 2 = 0.98) against the true volumes, measured from high-resolution CT. This correlation enables us to accurately convert projected intensity data into relative changes in lung air volume. We have applied this technique to measure changes in regional lung volumes from x-ray image sequences of mechanically ventilated, recently-deceased newborn rabbits, without the use of CT. Significance. This method is suitable for biomedical research studies,enabling quantitative regional measurement of relative lung air volumes at high temporal resolution, and shows great potential for future clinical application.",

keywords = "dynamic imaging, lung air volume, lung imaging, pre-clinical imaging, x-ray attenuation",

author = "O{\textquoteright}Connell, \{D. W.\} and Morgan, \{K. S.\} and G. Ruben and Croton, \{L. C.P.\} and Pollock, \{J. A.\} and Croughan, \{M. K.\} and McGillick, \{E. V.\} and Wallace, \{M. J.\} and Crossley, \{K. J.\} and Pryor, \{E. J.\} and Lewis, \{R. A.\} and Hooper, \{S. B.\} and Kitchen, \{M. J.\}",

note = "Funding Information: This research was undertaken on the Imaging and Medical Beamline (IMBL) at the Australian Synchrotron, part of ANSTO, proposal AS211/IMBL/16882. This work was funded in part by the Australian Research Council's Discovery Grant DP170103678, the Future Fellowship Schemes under Grant FT160100454 and Grant FT180100374, the National Health and Medical Research Council (NHMRC) Project under Grant 1102564, the Veski Victorian Post-Doctoral Research Fellowship (VPRF), the German Excellence Initiative, the European Union Seventh Framework Program under Grant 291763, the International Synchrotron Access Program (ISAP) managed by the Australian Synchrotron, a part of the Australian Nuclear Science and Technology Organisation (ANSTO), and the Australian Government under Grant AS/IA173/14218. Erin V McGillick was supported by a NHMRC Peter Doherty Biomedical Early Career Fellowship (APP1138049). Dylan W O{\textquoteright}Connell was supported by the Faculty of Science Dean{\textquoteright}s Postgraduate Research Scholarship awarded by the School of Physics and Astronomy at Monash University and the Research Training Program (RTP) Scholarship. Publisher Copyright: {\textcopyright} 2022 Institute of Physics and Engineering in Medicine.",

year = "2022",

month = oct,

day = "21",

doi = "10.1088/1361-6560/ac934d",

language = "English",

volume = "67",

journal = "Physics in Medicine \& Biology",

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AU - O’Connell, D. W.

AU - Morgan, K. S.

AU - Ruben, G.

AU - Croton, L. C.P.

AU - Pollock, J. A.

AU - Croughan, M. K.

AU - McGillick, E. V.

AU - Wallace, M. J.

AU - Crossley, K. J.

AU - Pryor, E. J.

AU - Lewis, R. A.

AU - Hooper, S. B.

AU - Kitchen, M. J.

N1 - Funding Information: This research was undertaken on the Imaging and Medical Beamline (IMBL) at the Australian Synchrotron, part of ANSTO, proposal AS211/IMBL/16882. This work was funded in part by the Australian Research Council's Discovery Grant DP170103678, the Future Fellowship Schemes under Grant FT160100454 and Grant FT180100374, the National Health and Medical Research Council (NHMRC) Project under Grant 1102564, the Veski Victorian Post-Doctoral Research Fellowship (VPRF), the German Excellence Initiative, the European Union Seventh Framework Program under Grant 291763, the International Synchrotron Access Program (ISAP) managed by the Australian Synchrotron, a part of the Australian Nuclear Science and Technology Organisation (ANSTO), and the Australian Government under Grant AS/IA173/14218. Erin V McGillick was supported by a NHMRC Peter Doherty Biomedical Early Career Fellowship (APP1138049). Dylan W O’Connell was supported by the Faculty of Science Dean’s Postgraduate Research Scholarship awarded by the School of Physics and Astronomy at Monash University and the Research Training Program (RTP) Scholarship. Publisher Copyright: © 2022 Institute of Physics and Engineering in Medicine.

PY - 2022/10/21

Y1 - 2022/10/21

N2 - Objective. To develop a robust technique for calculating regional volume changes within the lung from x-ray radiograph sequences captured during ventilation, without the use of computed tomography (CT). Approach. This technique is based on the change in transmitted x-ray intensity that occurs for each lung region as air displaces the attenuating lung tissue. Main results. Lung air volumes calculated from x-ray intensity changes showed a strong correlation (R 2 = 0.98) against the true volumes, measured from high-resolution CT. This correlation enables us to accurately convert projected intensity data into relative changes in lung air volume. We have applied this technique to measure changes in regional lung volumes from x-ray image sequences of mechanically ventilated, recently-deceased newborn rabbits, without the use of CT. Significance. This method is suitable for biomedical research studies,enabling quantitative regional measurement of relative lung air volumes at high temporal resolution, and shows great potential for future clinical application.

AB - Objective. To develop a robust technique for calculating regional volume changes within the lung from x-ray radiograph sequences captured during ventilation, without the use of computed tomography (CT). Approach. This technique is based on the change in transmitted x-ray intensity that occurs for each lung region as air displaces the attenuating lung tissue. Main results. Lung air volumes calculated from x-ray intensity changes showed a strong correlation (R 2 = 0.98) against the true volumes, measured from high-resolution CT. This correlation enables us to accurately convert projected intensity data into relative changes in lung air volume. We have applied this technique to measure changes in regional lung volumes from x-ray image sequences of mechanically ventilated, recently-deceased newborn rabbits, without the use of CT. Significance. This method is suitable for biomedical research studies,enabling quantitative regional measurement of relative lung air volumes at high temporal resolution, and shows great potential for future clinical application.

KW - dynamic imaging

KW - lung air volume

KW - lung imaging

KW - pre-clinical imaging

KW - x-ray attenuation

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U2 - 10.1088/1361-6560/ac934d

DO - 10.1088/1361-6560/ac934d

M3 - Article

AN - SCOPUS:85139908976

SN - 0031-9155

VL - 67

JO - Physics in Medicine & Biology

JF - Physics in Medicine & Biology

IS - 20

M1 - 205002

ER -

Accurate measures of changes in regional lung air volumes from chest x-rays of small animals

Abstract

Keywords

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Other files and links

Dynamic Multi-modal X-ray Imaging

Improving the fetal to neonatal transition in compromised newborns; towards better outcomes for babies born too soon and with under-developed lungs

Imaging the Invisible

Australian Synchrotron

Cite this

Accurate measures of changes in regional lung air volumes from chest x-rays of small animals

Abstract

Keywords

Access to Document

Other files and links

Projects

Dynamic Multi-modal X-ray Imaging

Improving the fetal to neonatal transition in compromised newborns; towards better outcomes for babies born too soon and with under-developed lungs

Imaging the Invisible

Equipment

Australian Synchrotron

Cite this