Towards distortion-free imaging of the eye.

The high power of the eye and optical components used to image it result in "static" distortion, remaining constant across acquired retinal images. In addition, raster-based systems sample points or lines of the image over time, suffering from "dynamic" distortion due to the cons...

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Autores principales:	Phillip Bedggood, Andrew Metha
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/859d19e50b3647e69db0fe259729796c
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id	oai:doaj.org-article:859d19e50b3647e69db0fe259729796c
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spelling	oai:doaj.org-article:859d19e50b3647e69db0fe259729796c2021-12-02T20:10:48ZTowards distortion-free imaging of the eye.1932-620310.1371/journal.pone.0252876https://doaj.org/article/859d19e50b3647e69db0fe259729796c2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0252876https://doaj.org/toc/1932-6203The high power of the eye and optical components used to image it result in "static" distortion, remaining constant across acquired retinal images. In addition, raster-based systems sample points or lines of the image over time, suffering from "dynamic" distortion due to the constant motion of the eye. We recently described an algorithm which corrects for the latter problem but is entirely blind to the former. Here, we describe a new procedure termed "DIOS" (Dewarp Image by Oblique Shift) to remove static distortion of arbitrary type. Much like the dynamic correction method, it relies on locating the same tissue in multiple frames acquired as the eye moves through different gaze positions. Here, the resultant maps of pixel displacement are used to form a sparse system of simultaneous linear equations whose solution gives the common warp seen by all frames. We show that the method successfully handles torsional movement of the eye. We also show that the output of the previously described dynamic correction procedure may be used as input for this new procedure, recovering an image of the tissue that is, in principle, a faithful replica free of any type of distortion. The method could be extended beyond ocular imaging, to any kind of imaging system in which the image can move or be made to move across the detector.Phillip BedggoodAndrew MethaPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 6, p e0252876 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Phillip Bedggood Andrew Metha Towards distortion-free imaging of the eye.
description	The high power of the eye and optical components used to image it result in "static" distortion, remaining constant across acquired retinal images. In addition, raster-based systems sample points or lines of the image over time, suffering from "dynamic" distortion due to the constant motion of the eye. We recently described an algorithm which corrects for the latter problem but is entirely blind to the former. Here, we describe a new procedure termed "DIOS" (Dewarp Image by Oblique Shift) to remove static distortion of arbitrary type. Much like the dynamic correction method, it relies on locating the same tissue in multiple frames acquired as the eye moves through different gaze positions. Here, the resultant maps of pixel displacement are used to form a sparse system of simultaneous linear equations whose solution gives the common warp seen by all frames. We show that the method successfully handles torsional movement of the eye. We also show that the output of the previously described dynamic correction procedure may be used as input for this new procedure, recovering an image of the tissue that is, in principle, a faithful replica free of any type of distortion. The method could be extended beyond ocular imaging, to any kind of imaging system in which the image can move or be made to move across the detector.
format	article
author	Phillip Bedggood Andrew Metha
author_facet	Phillip Bedggood Andrew Metha
author_sort	Phillip Bedggood
title	Towards distortion-free imaging of the eye.
title_short	Towards distortion-free imaging of the eye.
title_full	Towards distortion-free imaging of the eye.
title_fullStr	Towards distortion-free imaging of the eye.
title_full_unstemmed	Towards distortion-free imaging of the eye.
title_sort	towards distortion-free imaging of the eye.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/859d19e50b3647e69db0fe259729796c
work_keys_str_mv	AT phillipbedggood towardsdistortionfreeimagingoftheeye AT andrewmetha towardsdistortionfreeimagingoftheeye
_version_	1718374956579946496

Towards distortion-free imaging of the eye.

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