Camera-based optical palpation

Abstract Optical elastography is undergoing extensive development as an imaging tool to map mechanical contrast in tissue. Here, we present a new platform for optical elastography by generating sub-millimetre-scale mechanical contrast from a simple digital camera. This cost-effective, compact and ea...

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Autores principales:	Rowan W. Sanderson, Qi Fang, Andrea Curatolo, Wayne Adams, Devina D. Lakhiani, Hina M. Ismail, Ken Y. Foo, Benjamin F. Dessauvagie, Bruce Latham, Chris Yeomans, Christobel M. Saunders, Brendan F. Kennedy
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/b190b40a0c78454c90de791f8fbc598d
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id	oai:doaj.org-article:b190b40a0c78454c90de791f8fbc598d
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spelling	oai:doaj.org-article:b190b40a0c78454c90de791f8fbc598d2021-12-02T18:51:14ZCamera-based optical palpation10.1038/s41598-020-72603-52045-2322https://doaj.org/article/b190b40a0c78454c90de791f8fbc598d2020-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-72603-5https://doaj.org/toc/2045-2322Abstract Optical elastography is undergoing extensive development as an imaging tool to map mechanical contrast in tissue. Here, we present a new platform for optical elastography by generating sub-millimetre-scale mechanical contrast from a simple digital camera. This cost-effective, compact and easy-to-implement approach opens the possibility to greatly expand applications of optical elastography both within and beyond the field of medical imaging. Camera-based optical palpation (CBOP) utilises a digital camera to acquire photographs that quantify the light intensity transmitted through a silicone layer comprising a dense distribution of micro-pores (diameter, 30–100 µm). As the transmission of light through the micro-pores increases with compression, we deduce strain in the layer directly from intensity in the digital photograph. By pre-characterising the relationship between stress and strain of the layer, the measured strain map can be converted to an optical palpogram, a map of stress that visualises mechanical contrast in the sample. We demonstrate a spatial resolution as high as 290 µm in CBOP, comparable to that achieved using an optical coherence tomography-based implementation of optical palpation. In this paper, we describe the fabrication of the micro-porous layer and present experimental results from structured phantoms containing stiff inclusions as small as 0.5 × 0.5 × 1 mm. In each case, we demonstrate high contrast between the inclusion and the base material and validate both the contrast and spatial resolution achieved using finite element modelling. By performing CBOP on freshly excised human breast tissue, we demonstrate the capability to delineate tumour from surrounding benign tissue.Rowan W. SandersonQi FangAndrea CuratoloWayne AdamsDevina D. LakhianiHina M. IsmailKen Y. FooBenjamin F. DessauvagieBruce LathamChris YeomansChristobel M. SaundersBrendan F. KennedyNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-13 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Rowan W. Sanderson Qi Fang Andrea Curatolo Wayne Adams Devina D. Lakhiani Hina M. Ismail Ken Y. Foo Benjamin F. Dessauvagie Bruce Latham Chris Yeomans Christobel M. Saunders Brendan F. Kennedy Camera-based optical palpation
description	Abstract Optical elastography is undergoing extensive development as an imaging tool to map mechanical contrast in tissue. Here, we present a new platform for optical elastography by generating sub-millimetre-scale mechanical contrast from a simple digital camera. This cost-effective, compact and easy-to-implement approach opens the possibility to greatly expand applications of optical elastography both within and beyond the field of medical imaging. Camera-based optical palpation (CBOP) utilises a digital camera to acquire photographs that quantify the light intensity transmitted through a silicone layer comprising a dense distribution of micro-pores (diameter, 30–100 µm). As the transmission of light through the micro-pores increases with compression, we deduce strain in the layer directly from intensity in the digital photograph. By pre-characterising the relationship between stress and strain of the layer, the measured strain map can be converted to an optical palpogram, a map of stress that visualises mechanical contrast in the sample. We demonstrate a spatial resolution as high as 290 µm in CBOP, comparable to that achieved using an optical coherence tomography-based implementation of optical palpation. In this paper, we describe the fabrication of the micro-porous layer and present experimental results from structured phantoms containing stiff inclusions as small as 0.5 × 0.5 × 1 mm. In each case, we demonstrate high contrast between the inclusion and the base material and validate both the contrast and spatial resolution achieved using finite element modelling. By performing CBOP on freshly excised human breast tissue, we demonstrate the capability to delineate tumour from surrounding benign tissue.
format	article
author	Rowan W. Sanderson Qi Fang Andrea Curatolo Wayne Adams Devina D. Lakhiani Hina M. Ismail Ken Y. Foo Benjamin F. Dessauvagie Bruce Latham Chris Yeomans Christobel M. Saunders Brendan F. Kennedy
author_facet	Rowan W. Sanderson Qi Fang Andrea Curatolo Wayne Adams Devina D. Lakhiani Hina M. Ismail Ken Y. Foo Benjamin F. Dessauvagie Bruce Latham Chris Yeomans Christobel M. Saunders Brendan F. Kennedy
author_sort	Rowan W. Sanderson
title	Camera-based optical palpation
title_short	Camera-based optical palpation
title_full	Camera-based optical palpation
title_fullStr	Camera-based optical palpation
title_full_unstemmed	Camera-based optical palpation
title_sort	camera-based optical palpation
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/b190b40a0c78454c90de791f8fbc598d
work_keys_str_mv	AT rowanwsanderson camerabasedopticalpalpation AT qifang camerabasedopticalpalpation AT andreacuratolo camerabasedopticalpalpation AT wayneadams camerabasedopticalpalpation AT devinadlakhiani camerabasedopticalpalpation AT hinamismail camerabasedopticalpalpation AT kenyfoo camerabasedopticalpalpation AT benjaminfdessauvagie camerabasedopticalpalpation AT brucelatham camerabasedopticalpalpation AT chrisyeomans camerabasedopticalpalpation AT christobelmsaunders camerabasedopticalpalpation AT brendanfkennedy camerabasedopticalpalpation
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Camera-based optical palpation

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