Fast Projection Matching for X-ray Tomography

Abstract X-ray 3D tomographic techniques are powerful tools for investigating the morphology and internal structures of specimens. A common strategy for obtaining 3D tomography is to capture a series of 2D projections from different X-ray illumination angles of specimens mounted on a finely calibrat...

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Autores principales:	Chun-Chieh Wang, Cheng-Cheng Chiang, Biqing Liang, Gung-Chian Yin, Yi-Tse Weng, Liang-Chi Wang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e029d54a9c3741dd9c13d751fee74384
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spelling	oai:doaj.org-article:e029d54a9c3741dd9c13d751fee743842021-12-02T16:08:24ZFast Projection Matching for X-ray Tomography10.1038/s41598-017-04020-02045-2322https://doaj.org/article/e029d54a9c3741dd9c13d751fee743842017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-04020-0https://doaj.org/toc/2045-2322Abstract X-ray 3D tomographic techniques are powerful tools for investigating the morphology and internal structures of specimens. A common strategy for obtaining 3D tomography is to capture a series of 2D projections from different X-ray illumination angles of specimens mounted on a finely calibrated rotational stage. However, the reconstruction quality of 3D tomography relies on the precision and stability of the rotational stage, i.e. the accurate alignment of the 2D projections in the correct three-dimensional positions. This is a crucial problem for nano-tomographic techniques due to the non-negligible mechanical imperfection of the rotational stages at the nanometer level which significantly degrades the spatial resolution of reconstructed 3-D tomography. Even when using an X-ray micro-CT with a highly stabilized rotational stage, thermal effects caused by the CT system are not negligible and may cause sample drift. Here, we propose a markerless image auto-alignment algorithm based on an iterative method. This algorithm reduces the traditional projection matching method into two simplified matching problems and it is much faster and more reliable than traditional methods. This algorithm can greatly decrease hardware requirements for both nano-tomography and data processing and can be easily applied to other tomographic techniques, such as X-ray micro-CT and electron tomography.Chun-Chieh WangCheng-Cheng ChiangBiqing LiangGung-Chian YinYi-Tse WengLiang-Chi WangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Chun-Chieh Wang Cheng-Cheng Chiang Biqing Liang Gung-Chian Yin Yi-Tse Weng Liang-Chi Wang Fast Projection Matching for X-ray Tomography
description	Abstract X-ray 3D tomographic techniques are powerful tools for investigating the morphology and internal structures of specimens. A common strategy for obtaining 3D tomography is to capture a series of 2D projections from different X-ray illumination angles of specimens mounted on a finely calibrated rotational stage. However, the reconstruction quality of 3D tomography relies on the precision and stability of the rotational stage, i.e. the accurate alignment of the 2D projections in the correct three-dimensional positions. This is a crucial problem for nano-tomographic techniques due to the non-negligible mechanical imperfection of the rotational stages at the nanometer level which significantly degrades the spatial resolution of reconstructed 3-D tomography. Even when using an X-ray micro-CT with a highly stabilized rotational stage, thermal effects caused by the CT system are not negligible and may cause sample drift. Here, we propose a markerless image auto-alignment algorithm based on an iterative method. This algorithm reduces the traditional projection matching method into two simplified matching problems and it is much faster and more reliable than traditional methods. This algorithm can greatly decrease hardware requirements for both nano-tomography and data processing and can be easily applied to other tomographic techniques, such as X-ray micro-CT and electron tomography.
format	article
author	Chun-Chieh Wang Cheng-Cheng Chiang Biqing Liang Gung-Chian Yin Yi-Tse Weng Liang-Chi Wang
author_facet	Chun-Chieh Wang Cheng-Cheng Chiang Biqing Liang Gung-Chian Yin Yi-Tse Weng Liang-Chi Wang
author_sort	Chun-Chieh Wang
title	Fast Projection Matching for X-ray Tomography
title_short	Fast Projection Matching for X-ray Tomography
title_full	Fast Projection Matching for X-ray Tomography
title_fullStr	Fast Projection Matching for X-ray Tomography
title_full_unstemmed	Fast Projection Matching for X-ray Tomography
title_sort	fast projection matching for x-ray tomography
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/e029d54a9c3741dd9c13d751fee74384
work_keys_str_mv	AT chunchiehwang fastprojectionmatchingforxraytomography AT chengchengchiang fastprojectionmatchingforxraytomography AT biqingliang fastprojectionmatchingforxraytomography AT gungchianyin fastprojectionmatchingforxraytomography AT yitseweng fastprojectionmatchingforxraytomography AT liangchiwang fastprojectionmatchingforxraytomography
_version_	1718384501969649664

Fast Projection Matching for X-ray Tomography

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