Real-time measurement of alveolar size and population using phase contrast x-ray imaging

Andrew Leong, Genevieve Buckley, David Paganin, Stuart Brian Hooper, Megan Jane Wallace, Marcus John Kitchen

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Herein a propagation-based phase contrast x-ray imaging technique for measuring particle size and number is presented. This is achieved with an algorithm that utilizes the Fourier space signature of the speckle pattern associated with the images of particles. We validate this algorithm using soda-lime glass particles, demonstrating its effectiveness on random and non-randomly packed particles. This technique is then applied to characterise lung alveoli, which are difficult to measure dynamically in vivo with current imaging modalities due to inadequate temporal resolution and/or depth of penetration and field-of-view. We obtain an important result in that our algorithm is able to measure changes in alveolar size on the micron scale during ventilation and shows the presence of alveolar recruitment/de-recruitment in newborn rabbit kittens. This technique will be useful for ventilation management and lung diagnostic procedures.

Original languageEnglish
Pages (from-to)4024-4038
Number of pages15
JournalBiomedical Optics Express
Volume5
Issue number11
DOIs
Publication statusPublished - 1 Nov 2014

Cite this

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abstract = "Herein a propagation-based phase contrast x-ray imaging technique for measuring particle size and number is presented. This is achieved with an algorithm that utilizes the Fourier space signature of the speckle pattern associated with the images of particles. We validate this algorithm using soda-lime glass particles, demonstrating its effectiveness on random and non-randomly packed particles. This technique is then applied to characterise lung alveoli, which are difficult to measure dynamically in vivo with current imaging modalities due to inadequate temporal resolution and/or depth of penetration and field-of-view. We obtain an important result in that our algorithm is able to measure changes in alveolar size on the micron scale during ventilation and shows the presence of alveolar recruitment/de-recruitment in newborn rabbit kittens. This technique will be useful for ventilation management and lung diagnostic procedures.",
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Real-time measurement of alveolar size and population using phase contrast x-ray imaging. / Leong, Andrew; Buckley, Genevieve; Paganin, David; Hooper, Stuart Brian; Wallace, Megan Jane; Kitchen, Marcus John.

In: Biomedical Optics Express, Vol. 5, No. 11, 01.11.2014, p. 4024-4038.

Research output: Contribution to journalArticleResearchpeer-review

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AU - Leong, Andrew

AU - Buckley, Genevieve

AU - Paganin, David

AU - Hooper, Stuart Brian

AU - Wallace, Megan Jane

AU - Kitchen, Marcus John

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AB - Herein a propagation-based phase contrast x-ray imaging technique for measuring particle size and number is presented. This is achieved with an algorithm that utilizes the Fourier space signature of the speckle pattern associated with the images of particles. We validate this algorithm using soda-lime glass particles, demonstrating its effectiveness on random and non-randomly packed particles. This technique is then applied to characterise lung alveoli, which are difficult to measure dynamically in vivo with current imaging modalities due to inadequate temporal resolution and/or depth of penetration and field-of-view. We obtain an important result in that our algorithm is able to measure changes in alveolar size on the micron scale during ventilation and shows the presence of alveolar recruitment/de-recruitment in newborn rabbit kittens. This technique will be useful for ventilation management and lung diagnostic procedures.

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