Explicit Filtering Based Low-Dose Differential Phase Reconstruction Algorithm with the Grating Interferometry

X-ray grating interferometry offers a novel framework for the study of weakly absorbing samples. Three kinds of information, that is, the attenuation, differential phase contrast (DPC), and dark-field images, can be obtained after a single scanning, providing additional and complementary information...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Xiaolei Jiang [verfasserIn] Li Zhang [verfasserIn] Ran Zhang [verfasserIn] Hongxia Yin [verfasserIn] Zhenchang Wang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2015

Übergeordnetes Werk:	In: Computational and Mathematical Methods in Medicine - Hindawi Limited, 2011, (2015)
Übergeordnetes Werk:	year:2015

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.1155/2015/623236

Katalog-ID:	DOAJ043846904

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allfieldsSound	10.1155/2015/623236 doi (DE-627)DOAJ043846904 (DE-599)DOAJ7278e41a19c64415844ed2a1c499fbef DE-627 ger DE-627 rakwb eng R858-859.7 Xiaolei Jiang verfasserin aut Explicit Filtering Based Low-Dose Differential Phase Reconstruction Algorithm with the Grating Interferometry 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier X-ray grating interferometry offers a novel framework for the study of weakly absorbing samples. Three kinds of information, that is, the attenuation, differential phase contrast (DPC), and dark-field images, can be obtained after a single scanning, providing additional and complementary information to the conventional attenuation image. Phase shifts of X-rays are measured by the DPC method; hence, DPC-CT reconstructs refraction indexes rather than attenuation coefficients. In this work, we propose an explicit filtering based low-dose differential phase reconstruction algorithm, which enables reconstruction from reduced scanning without artifacts. The algorithm adopts a differential algebraic reconstruction technique (DART) with the explicit filtering based sparse regularization rather than the commonly used total variation (TV) method. Both the numerical simulation and the biological sample experiment demonstrate the feasibility of the proposed algorithm. Computer applications to medicine. Medical informatics Li Zhang verfasserin aut Ran Zhang verfasserin aut Hongxia Yin verfasserin aut Zhenchang Wang verfasserin aut In Computational and Mathematical Methods in Medicine Hindawi Limited, 2011 (2015) (DE-627)519764781 (DE-600)2256917-0 1748670X nnns year:2015 https://doi.org/10.1155/2015/623236 kostenfrei https://doaj.org/article/7278e41a19c64415844ed2a1c499fbef kostenfrei http://dx.doi.org/10.1155/2015/623236 kostenfrei https://doaj.org/toc/1748-670X Journal toc kostenfrei https://doaj.org/toc/1748-6718 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2015
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callnumber-first	R - Medicine
author	Xiaolei Jiang
spellingShingle	Xiaolei Jiang misc R858-859.7 misc Computer applications to medicine. Medical informatics Explicit Filtering Based Low-Dose Differential Phase Reconstruction Algorithm with the Grating Interferometry
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topic_title	R858-859.7 Explicit Filtering Based Low-Dose Differential Phase Reconstruction Algorithm with the Grating Interferometry
topic	misc R858-859.7 misc Computer applications to medicine. Medical informatics
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title	Explicit Filtering Based Low-Dose Differential Phase Reconstruction Algorithm with the Grating Interferometry
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title_full	Explicit Filtering Based Low-Dose Differential Phase Reconstruction Algorithm with the Grating Interferometry
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title_sort	explicit filtering based low-dose differential phase reconstruction algorithm with the grating interferometry
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title_auth	Explicit Filtering Based Low-Dose Differential Phase Reconstruction Algorithm with the Grating Interferometry
abstract	X-ray grating interferometry offers a novel framework for the study of weakly absorbing samples. Three kinds of information, that is, the attenuation, differential phase contrast (DPC), and dark-field images, can be obtained after a single scanning, providing additional and complementary information to the conventional attenuation image. Phase shifts of X-rays are measured by the DPC method; hence, DPC-CT reconstructs refraction indexes rather than attenuation coefficients. In this work, we propose an explicit filtering based low-dose differential phase reconstruction algorithm, which enables reconstruction from reduced scanning without artifacts. The algorithm adopts a differential algebraic reconstruction technique (DART) with the explicit filtering based sparse regularization rather than the commonly used total variation (TV) method. Both the numerical simulation and the biological sample experiment demonstrate the feasibility of the proposed algorithm.
abstractGer	X-ray grating interferometry offers a novel framework for the study of weakly absorbing samples. Three kinds of information, that is, the attenuation, differential phase contrast (DPC), and dark-field images, can be obtained after a single scanning, providing additional and complementary information to the conventional attenuation image. Phase shifts of X-rays are measured by the DPC method; hence, DPC-CT reconstructs refraction indexes rather than attenuation coefficients. In this work, we propose an explicit filtering based low-dose differential phase reconstruction algorithm, which enables reconstruction from reduced scanning without artifacts. The algorithm adopts a differential algebraic reconstruction technique (DART) with the explicit filtering based sparse regularization rather than the commonly used total variation (TV) method. Both the numerical simulation and the biological sample experiment demonstrate the feasibility of the proposed algorithm.
abstract_unstemmed	X-ray grating interferometry offers a novel framework for the study of weakly absorbing samples. Three kinds of information, that is, the attenuation, differential phase contrast (DPC), and dark-field images, can be obtained after a single scanning, providing additional and complementary information to the conventional attenuation image. Phase shifts of X-rays are measured by the DPC method; hence, DPC-CT reconstructs refraction indexes rather than attenuation coefficients. In this work, we propose an explicit filtering based low-dose differential phase reconstruction algorithm, which enables reconstruction from reduced scanning without artifacts. The algorithm adopts a differential algebraic reconstruction technique (DART) with the explicit filtering based sparse regularization rather than the commonly used total variation (TV) method. Both the numerical simulation and the biological sample experiment demonstrate the feasibility of the proposed algorithm.
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title_short	Explicit Filtering Based Low-Dose Differential Phase Reconstruction Algorithm with the Grating Interferometry
url	https://doi.org/10.1155/2015/623236 https://doaj.org/article/7278e41a19c64415844ed2a1c499fbef http://dx.doi.org/10.1155/2015/623236 https://doaj.org/toc/1748-670X https://doaj.org/toc/1748-6718
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up_date	2024-07-03T19:47:56.955Z
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Explicit Filtering Based Low-Dose Differential Phase Reconstruction Algorithm with the Grating Interferometry

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