SYRMEP Tomo Project: a graphical user interface for customizing CT reconstruction workflows

Abstract When considering the acquisition of experimental synchrotron radiation (SR) X-ray CT data, the reconstruction workflow cannot be limited to the essential computational steps of flat fielding and filtered back projection (FBP). More refined image processing is often required, usually to comp...
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Autor*in:	Brun, Francesco [verfasserIn] Massimi, Lorenzo Fratini, Michela Dreossi, Diego Billé, Fulvio Accardo, Agostino Pugliese, Roberto Cedola, Alessia

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	Phase-contrast computed tomography Tomographic reconstruction Image processing Phase retrieval Artifacts compensation

Anmerkung:	© The Author(s) 2017

Übergeordnetes Werk:	Enthalten in: Advanced structural and chemical imaging - Cham : Springer International Publishing AG, 2015, 3(2017), 1 vom: 19. Jan.
Übergeordnetes Werk:	volume:3 ; year:2017 ; number:1 ; day:19 ; month:01

Links:	Volltext

DOI / URN:	10.1186/s40679-016-0036-8

Katalog-ID:	SPR037273647

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allfields	10.1186/s40679-016-0036-8 doi (DE-627)SPR037273647 (SPR)s40679-016-0036-8-e DE-627 ger DE-627 rakwb eng Brun, Francesco verfasserin (orcid)0000-0003-0155-5326 aut SYRMEP Tomo Project: a graphical user interface for customizing CT reconstruction workflows 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2017 Abstract When considering the acquisition of experimental synchrotron radiation (SR) X-ray CT data, the reconstruction workflow cannot be limited to the essential computational steps of flat fielding and filtered back projection (FBP). More refined image processing is often required, usually to compensate artifacts and enhance the quality of the reconstructed images. In principle, it would be desirable to optimize the reconstruction workflow at the facility during the experiment (beamtime). However, several practical factors affect the image reconstruction part of the experiment and users are likely to conclude the beamtime with sub-optimal reconstructed images. Through an example of application, this article presents SYRMEP Tomo Project (STP), an open-source software tool conceived to let users design custom CT reconstruction workflows. STP has been designed for post-beamtime (off-line use) and for a new reconstruction of past archived data at user’s home institution where simple computing resources are available. Releases of the software can be downloaded at the Elettra Scientific Computing group GitHub repository https://github.com/ElettraSciComp/STP-Gui. Phase-contrast computed tomography (dpeaa)DE-He213 Tomographic reconstruction (dpeaa)DE-He213 Image processing (dpeaa)DE-He213 Phase retrieval (dpeaa)DE-He213 Artifacts compensation (dpeaa)DE-He213 Massimi, Lorenzo aut Fratini, Michela aut Dreossi, Diego aut Billé, Fulvio aut Accardo, Agostino aut Pugliese, Roberto aut Cedola, Alessia aut Enthalten in Advanced structural and chemical imaging Cham : Springer International Publishing AG, 2015 3(2017), 1 vom: 19. Jan. (DE-627)837628512 (DE-600)2836911-7 2198-0926 nnns volume:3 year:2017 number:1 day:19 month:01 https://dx.doi.org/10.1186/s40679-016-0036-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA 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_70 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_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 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_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2017 1 19 01
spelling	10.1186/s40679-016-0036-8 doi (DE-627)SPR037273647 (SPR)s40679-016-0036-8-e DE-627 ger DE-627 rakwb eng Brun, Francesco verfasserin (orcid)0000-0003-0155-5326 aut SYRMEP Tomo Project: a graphical user interface for customizing CT reconstruction workflows 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2017 Abstract When considering the acquisition of experimental synchrotron radiation (SR) X-ray CT data, the reconstruction workflow cannot be limited to the essential computational steps of flat fielding and filtered back projection (FBP). More refined image processing is often required, usually to compensate artifacts and enhance the quality of the reconstructed images. In principle, it would be desirable to optimize the reconstruction workflow at the facility during the experiment (beamtime). However, several practical factors affect the image reconstruction part of the experiment and users are likely to conclude the beamtime with sub-optimal reconstructed images. Through an example of application, this article presents SYRMEP Tomo Project (STP), an open-source software tool conceived to let users design custom CT reconstruction workflows. STP has been designed for post-beamtime (off-line use) and for a new reconstruction of past archived data at user’s home institution where simple computing resources are available. Releases of the software can be downloaded at the Elettra Scientific Computing group GitHub repository https://github.com/ElettraSciComp/STP-Gui. Phase-contrast computed tomography (dpeaa)DE-He213 Tomographic reconstruction (dpeaa)DE-He213 Image processing (dpeaa)DE-He213 Phase retrieval (dpeaa)DE-He213 Artifacts compensation (dpeaa)DE-He213 Massimi, Lorenzo aut Fratini, Michela aut Dreossi, Diego aut Billé, Fulvio aut Accardo, Agostino aut Pugliese, Roberto aut Cedola, Alessia aut Enthalten in Advanced structural and chemical imaging Cham : Springer International Publishing AG, 2015 3(2017), 1 vom: 19. Jan. (DE-627)837628512 (DE-600)2836911-7 2198-0926 nnns volume:3 year:2017 number:1 day:19 month:01 https://dx.doi.org/10.1186/s40679-016-0036-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA 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_70 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_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 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_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2017 1 19 01
allfields_unstemmed	10.1186/s40679-016-0036-8 doi (DE-627)SPR037273647 (SPR)s40679-016-0036-8-e DE-627 ger DE-627 rakwb eng Brun, Francesco verfasserin (orcid)0000-0003-0155-5326 aut SYRMEP Tomo Project: a graphical user interface for customizing CT reconstruction workflows 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2017 Abstract When considering the acquisition of experimental synchrotron radiation (SR) X-ray CT data, the reconstruction workflow cannot be limited to the essential computational steps of flat fielding and filtered back projection (FBP). More refined image processing is often required, usually to compensate artifacts and enhance the quality of the reconstructed images. In principle, it would be desirable to optimize the reconstruction workflow at the facility during the experiment (beamtime). However, several practical factors affect the image reconstruction part of the experiment and users are likely to conclude the beamtime with sub-optimal reconstructed images. Through an example of application, this article presents SYRMEP Tomo Project (STP), an open-source software tool conceived to let users design custom CT reconstruction workflows. STP has been designed for post-beamtime (off-line use) and for a new reconstruction of past archived data at user’s home institution where simple computing resources are available. Releases of the software can be downloaded at the Elettra Scientific Computing group GitHub repository https://github.com/ElettraSciComp/STP-Gui. Phase-contrast computed tomography (dpeaa)DE-He213 Tomographic reconstruction (dpeaa)DE-He213 Image processing (dpeaa)DE-He213 Phase retrieval (dpeaa)DE-He213 Artifacts compensation (dpeaa)DE-He213 Massimi, Lorenzo aut Fratini, Michela aut Dreossi, Diego aut Billé, Fulvio aut Accardo, Agostino aut Pugliese, Roberto aut Cedola, Alessia aut Enthalten in Advanced structural and chemical imaging Cham : Springer International Publishing AG, 2015 3(2017), 1 vom: 19. Jan. (DE-627)837628512 (DE-600)2836911-7 2198-0926 nnns volume:3 year:2017 number:1 day:19 month:01 https://dx.doi.org/10.1186/s40679-016-0036-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA 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_70 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_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 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_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2017 1 19 01
allfieldsGer	10.1186/s40679-016-0036-8 doi (DE-627)SPR037273647 (SPR)s40679-016-0036-8-e DE-627 ger DE-627 rakwb eng Brun, Francesco verfasserin (orcid)0000-0003-0155-5326 aut SYRMEP Tomo Project: a graphical user interface for customizing CT reconstruction workflows 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2017 Abstract When considering the acquisition of experimental synchrotron radiation (SR) X-ray CT data, the reconstruction workflow cannot be limited to the essential computational steps of flat fielding and filtered back projection (FBP). More refined image processing is often required, usually to compensate artifacts and enhance the quality of the reconstructed images. In principle, it would be desirable to optimize the reconstruction workflow at the facility during the experiment (beamtime). However, several practical factors affect the image reconstruction part of the experiment and users are likely to conclude the beamtime with sub-optimal reconstructed images. Through an example of application, this article presents SYRMEP Tomo Project (STP), an open-source software tool conceived to let users design custom CT reconstruction workflows. STP has been designed for post-beamtime (off-line use) and for a new reconstruction of past archived data at user’s home institution where simple computing resources are available. Releases of the software can be downloaded at the Elettra Scientific Computing group GitHub repository https://github.com/ElettraSciComp/STP-Gui. Phase-contrast computed tomography (dpeaa)DE-He213 Tomographic reconstruction (dpeaa)DE-He213 Image processing (dpeaa)DE-He213 Phase retrieval (dpeaa)DE-He213 Artifacts compensation (dpeaa)DE-He213 Massimi, Lorenzo aut Fratini, Michela aut Dreossi, Diego aut Billé, Fulvio aut Accardo, Agostino aut Pugliese, Roberto aut Cedola, Alessia aut Enthalten in Advanced structural and chemical imaging Cham : Springer International Publishing AG, 2015 3(2017), 1 vom: 19. Jan. (DE-627)837628512 (DE-600)2836911-7 2198-0926 nnns volume:3 year:2017 number:1 day:19 month:01 https://dx.doi.org/10.1186/s40679-016-0036-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA 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_70 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_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 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_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2017 1 19 01
allfieldsSound	10.1186/s40679-016-0036-8 doi (DE-627)SPR037273647 (SPR)s40679-016-0036-8-e DE-627 ger DE-627 rakwb eng Brun, Francesco verfasserin (orcid)0000-0003-0155-5326 aut SYRMEP Tomo Project: a graphical user interface for customizing CT reconstruction workflows 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2017 Abstract When considering the acquisition of experimental synchrotron radiation (SR) X-ray CT data, the reconstruction workflow cannot be limited to the essential computational steps of flat fielding and filtered back projection (FBP). More refined image processing is often required, usually to compensate artifacts and enhance the quality of the reconstructed images. In principle, it would be desirable to optimize the reconstruction workflow at the facility during the experiment (beamtime). However, several practical factors affect the image reconstruction part of the experiment and users are likely to conclude the beamtime with sub-optimal reconstructed images. Through an example of application, this article presents SYRMEP Tomo Project (STP), an open-source software tool conceived to let users design custom CT reconstruction workflows. STP has been designed for post-beamtime (off-line use) and for a new reconstruction of past archived data at user’s home institution where simple computing resources are available. Releases of the software can be downloaded at the Elettra Scientific Computing group GitHub repository https://github.com/ElettraSciComp/STP-Gui. Phase-contrast computed tomography (dpeaa)DE-He213 Tomographic reconstruction (dpeaa)DE-He213 Image processing (dpeaa)DE-He213 Phase retrieval (dpeaa)DE-He213 Artifacts compensation (dpeaa)DE-He213 Massimi, Lorenzo aut Fratini, Michela aut Dreossi, Diego aut Billé, Fulvio aut Accardo, Agostino aut Pugliese, Roberto aut Cedola, Alessia aut Enthalten in Advanced structural and chemical imaging Cham : Springer International Publishing AG, 2015 3(2017), 1 vom: 19. Jan. (DE-627)837628512 (DE-600)2836911-7 2198-0926 nnns volume:3 year:2017 number:1 day:19 month:01 https://dx.doi.org/10.1186/s40679-016-0036-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA 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_70 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_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 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_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2017 1 19 01
language	English
source	Enthalten in Advanced structural and chemical imaging 3(2017), 1 vom: 19. Jan. volume:3 year:2017 number:1 day:19 month:01
sourceStr	Enthalten in Advanced structural and chemical imaging 3(2017), 1 vom: 19. Jan. volume:3 year:2017 number:1 day:19 month:01
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Phase-contrast computed tomography Tomographic reconstruction Image processing Phase retrieval Artifacts compensation
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container_title	Advanced structural and chemical imaging
authorswithroles_txt_mv	Brun, Francesco @@aut@@ Massimi, Lorenzo @@aut@@ Fratini, Michela @@aut@@ Dreossi, Diego @@aut@@ Billé, Fulvio @@aut@@ Accardo, Agostino @@aut@@ Pugliese, Roberto @@aut@@ Cedola, Alessia @@aut@@
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author	Brun, Francesco
spellingShingle	Brun, Francesco misc Phase-contrast computed tomography misc Tomographic reconstruction misc Image processing misc Phase retrieval misc Artifacts compensation SYRMEP Tomo Project: a graphical user interface for customizing CT reconstruction workflows
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topic_title	SYRMEP Tomo Project: a graphical user interface for customizing CT reconstruction workflows Phase-contrast computed tomography (dpeaa)DE-He213 Tomographic reconstruction (dpeaa)DE-He213 Image processing (dpeaa)DE-He213 Phase retrieval (dpeaa)DE-He213 Artifacts compensation (dpeaa)DE-He213
topic	misc Phase-contrast computed tomography misc Tomographic reconstruction misc Image processing misc Phase retrieval misc Artifacts compensation
topic_unstemmed	misc Phase-contrast computed tomography misc Tomographic reconstruction misc Image processing misc Phase retrieval misc Artifacts compensation
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title	SYRMEP Tomo Project: a graphical user interface for customizing CT reconstruction workflows
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title_full	SYRMEP Tomo Project: a graphical user interface for customizing CT reconstruction workflows
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author_browse	Brun, Francesco Massimi, Lorenzo Fratini, Michela Dreossi, Diego Billé, Fulvio Accardo, Agostino Pugliese, Roberto Cedola, Alessia
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title_sort	syrmep tomo project: a graphical user interface for customizing ct reconstruction workflows
title_auth	SYRMEP Tomo Project: a graphical user interface for customizing CT reconstruction workflows
abstract	Abstract When considering the acquisition of experimental synchrotron radiation (SR) X-ray CT data, the reconstruction workflow cannot be limited to the essential computational steps of flat fielding and filtered back projection (FBP). More refined image processing is often required, usually to compensate artifacts and enhance the quality of the reconstructed images. In principle, it would be desirable to optimize the reconstruction workflow at the facility during the experiment (beamtime). However, several practical factors affect the image reconstruction part of the experiment and users are likely to conclude the beamtime with sub-optimal reconstructed images. Through an example of application, this article presents SYRMEP Tomo Project (STP), an open-source software tool conceived to let users design custom CT reconstruction workflows. STP has been designed for post-beamtime (off-line use) and for a new reconstruction of past archived data at user’s home institution where simple computing resources are available. Releases of the software can be downloaded at the Elettra Scientific Computing group GitHub repository https://github.com/ElettraSciComp/STP-Gui. © The Author(s) 2017
abstractGer	Abstract When considering the acquisition of experimental synchrotron radiation (SR) X-ray CT data, the reconstruction workflow cannot be limited to the essential computational steps of flat fielding and filtered back projection (FBP). More refined image processing is often required, usually to compensate artifacts and enhance the quality of the reconstructed images. In principle, it would be desirable to optimize the reconstruction workflow at the facility during the experiment (beamtime). However, several practical factors affect the image reconstruction part of the experiment and users are likely to conclude the beamtime with sub-optimal reconstructed images. Through an example of application, this article presents SYRMEP Tomo Project (STP), an open-source software tool conceived to let users design custom CT reconstruction workflows. STP has been designed for post-beamtime (off-line use) and for a new reconstruction of past archived data at user’s home institution where simple computing resources are available. Releases of the software can be downloaded at the Elettra Scientific Computing group GitHub repository https://github.com/ElettraSciComp/STP-Gui. © The Author(s) 2017
abstract_unstemmed	Abstract When considering the acquisition of experimental synchrotron radiation (SR) X-ray CT data, the reconstruction workflow cannot be limited to the essential computational steps of flat fielding and filtered back projection (FBP). More refined image processing is often required, usually to compensate artifacts and enhance the quality of the reconstructed images. In principle, it would be desirable to optimize the reconstruction workflow at the facility during the experiment (beamtime). However, several practical factors affect the image reconstruction part of the experiment and users are likely to conclude the beamtime with sub-optimal reconstructed images. Through an example of application, this article presents SYRMEP Tomo Project (STP), an open-source software tool conceived to let users design custom CT reconstruction workflows. STP has been designed for post-beamtime (off-line use) and for a new reconstruction of past archived data at user’s home institution where simple computing resources are available. Releases of the software can be downloaded at the Elettra Scientific Computing group GitHub repository https://github.com/ElettraSciComp/STP-Gui. © The Author(s) 2017
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title_short	SYRMEP Tomo Project: a graphical user interface for customizing CT reconstruction workflows
url	https://dx.doi.org/10.1186/s40679-016-0036-8
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author2	Massimi, Lorenzo Fratini, Michela Dreossi, Diego Billé, Fulvio Accardo, Agostino Pugliese, Roberto Cedola, Alessia
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SYRMEP Tomo Project: a graphical user interface for customizing CT reconstruction workflows

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