Abstract

Object reconstruction from a series of projection images, such as in computed tomography (CT), is a popular tool in many different application fields. Existing commercial software typically provides sufficiently accurate and convenient-to-use reconstruction tools to the end-user. However, in applications where a non-standard acquisition protocol is used, or where advanced reconstruction methods are required, the standard software tools often are incapable of computing accurate reconstruction images. This article introduces the ASTRA Toolbox. Aimed at researchers across multiple tomographic application fields, the ASTRA Toolbox provides a highly efficient and highly flexible open source set of tools for tomographic projection and reconstruction. The main features of the ASTRA Toolbox are discussed and several use cases are presented.

© 2016 Optical Society of America

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  24. W. van Aarle, P. Ghysels, J. Sijbers, and W. Vanroose, “Memory access optimization for iterative tomography on many-core architectures,” in Proceedings of 12th Int. Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine, (2013), pp. 364–367.
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    [Crossref]
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    [Crossref]
  29. S. Cools, P. Ghysels, W. van Aarle, J. Sijbers, and W. Vanroose, “A multi-level preconditioned Krylov method for the efficient solution of algebraic tomographic reconstruction problems,” J. Comput. Appl. Math. 283, 1–16 (2015).
    [Crossref]

2016 (2)

D. M. Pelt, D. Gürsoy, W. J. Palenstijn, J. Sijbers, F. De Carlo, and K. J. Batenburg, “Integration of TomoPy and the ASTRA toolbox for advanced processing and reconstruction of tomographic synchrotron data,” J. Synchrotron Radiat. 23, 842–849 (2016).
[Crossref] [PubMed]

N. Viganò, A. Tanguy, S. Hallais, A. Dimanov, and M. Bornert, “Three-dimensional full-field X-ray orientation microscopy,” Sci. Rep. 6, 1–9 (2016).
[Crossref]

2015 (4)

S. Cools, P. Ghysels, W. van Aarle, J. Sijbers, and W. Vanroose, “A multi-level preconditioned Krylov method for the efficient solution of algebraic tomographic reconstruction problems,” J. Comput. Appl. Math. 283, 1–16 (2015).
[Crossref]

W. van Aarle, W. J. Palenstijn, J. De Beenhouwer, T. Altantzis, S. Bals, K. J. Batenburg, and J. Sijbers, “The ASTRA Toolbox: A platform for advanced algorithm development in electron tomography,” Ultramicroscopy 157, 35–47 (2015).
[Crossref] [PubMed]

B. Goris, J. De Beenhouwer, A. De Backer, D. Zanaga, K. J. Batenburg, A. Sánchze-Iglesias, L. M. Liz-Marazàn, S. Van Aert, S. Bals, J. Sijbers, and G. Van Tendeloo, “Measuring Lattice Strain in Three Dimensions through Electron Microscopy,” Nano Lett. 15, 6996–7001 (2015).
[Crossref] [PubMed]

F. Bleichrodt, T. van Leeuwen, W. J. Palenstijn, W. van Aarle, J. Sijbers, and K. J. Batenburg, “Easy implementation of advanced tomography algorithms using the ASTRA toolbox with Spot operators,” Numer. Algorithms 71, 673–697 (2015).
[Crossref]

2014 (5)

D. Gürsoy, F. De Carlo, X. Xiao, and C. Jacobsen, “TomoPy : a framework for the analysis of synchrotron tomographic data,” J. Synchrotron Radiat. 21, 1188–1193 (2014).
[Crossref]

L. De Chiffre, S. Carmignato, J. Kruth, R. Schmitt, and A. Weckenmann, “Industrial applications of computed tomography,” CIRP Annals - Manufacturing Technology 63, 655–677 (2014).
[Crossref]

A. Sheppard, S. Latham, J. Middleton, A. Kingston, G. Myers, T. Varslot, A. Fogden, T. Sawkins, R. Cruikshank, M. Saadatfar, N. Francois, C. Arns, and T. Senden, “Techniques in helical scanning, dynamic imaging and image segmentation for improved quantitative analysis with X-ray micro-CT,” Nucl. Instr. Meth. Phys. Res. B 324, 49–56 (2014).
[Crossref]

A. Dabravolski, K. J. Batenburg, and J. Sijbers, “Adaptive zooming in X-ray computed tomography,” J. Xray Sci. Technol. 22, 77–89 (2014).
[PubMed]

A. Mirone, E. Brun, E. Gouillart, P. Tafforeau, and J. Kieffer, “The PyHST2 hybrid distributed code for high speed tomographic reconstruction with iterative reconstruction and a priori knowledge capabilities,” Nucl. Instr. Meth. Phys. Res. B 324, 41–48 (2014).
[Crossref]

2012 (2)

U. Ewert, B. Redmer, C. Rädel, U. Schnars, R. Henrich, K. Bavendiek, and M. Jahn, “Mobile Computed Tomography for Inspection of Large Stationary Components in Nuclear and Aerospace Industries,” Materials Transactions 53, 308–310 (2012).
[Crossref]

E. Y. Sidky, J. H. Jørgensen, and X. Pan, “Convex optimization problem prototyping for image reconstruction in computed tomography with the Chambolle Pock algorithm,” Phys. Med. Biol. 57, 3065–3091 (2012).
[Crossref] [PubMed]

2011 (4)

S. Van Bael, G. Kerckhofs, M. Moesen, G. Pyka, J. Schrooten, and J. P. Kruth, “Micro-CT-based improvement of geometrical and mechanical controllability of selective laser melted Ti6Al4V porous structures,” Mater. Sci. Eng. A 528, 7423–7431 (2011).
[Crossref]

K. J. Batenburg and J. Sijbers, “DART: a practical reconstruction algorithm for discrete tomography,” IEEE Trans. Image Processing 20, 2542–2553 (2011).
[Crossref]

C. B. Reid, M. M. Betcke, D. Chana, and R. D. Speller, “The development of a pseudo-3D imaging system (tomosynthesis) for security screening of passenger baggage,” Nucl. Instr. Meth. Phys. Res. A 652, 108–111 (2011).
[Crossref]

W. J. Palenstijn, K. J. Batenburg, and J. Sijbers, “Performance improvements for iterative electron tomography reconstruction using graphics processing units {(GPUs)},” J. Struct. Biol. 176, 250–253 (2011).
[Crossref] [PubMed]

2010 (2)

M. A. Helvie, “Digital Mammography Imaging: Breast Tomosynthesis and Advanced Applications,” Radiol Clin North Am. 48, 917–929 (2010).
[Crossref] [PubMed]

E. Perilli, V. Le, B. Ma, P. Salmon, and K. Reynolds, “Detecting early bone changes using in vivo micro-CT in ovariectomized, zoledronic acid-treated, and sham-operated rats,” Osteoporos Int. 21, 1371–1382 (2010).
[Crossref]

2009 (1)

A. Beck and M. Teboulle, “A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems,” J. Imaging Sciences 2, 183–202 (2009).
[Crossref]

2008 (1)

J. Gregor and T. Benson, “Computational Analysis and Improvement of SIRT,” IEEE Trans. Medical Imaging 27, 918–924 (2008).
[Crossref] [PubMed]

Altantzis, T.

W. van Aarle, W. J. Palenstijn, J. De Beenhouwer, T. Altantzis, S. Bals, K. J. Batenburg, and J. Sijbers, “The ASTRA Toolbox: A platform for advanced algorithm development in electron tomography,” Ultramicroscopy 157, 35–47 (2015).
[Crossref] [PubMed]

Arns, C.

A. Sheppard, S. Latham, J. Middleton, A. Kingston, G. Myers, T. Varslot, A. Fogden, T. Sawkins, R. Cruikshank, M. Saadatfar, N. Francois, C. Arns, and T. Senden, “Techniques in helical scanning, dynamic imaging and image segmentation for improved quantitative analysis with X-ray micro-CT,” Nucl. Instr. Meth. Phys. Res. B 324, 49–56 (2014).
[Crossref]

Bals, S.

W. van Aarle, W. J. Palenstijn, J. De Beenhouwer, T. Altantzis, S. Bals, K. J. Batenburg, and J. Sijbers, “The ASTRA Toolbox: A platform for advanced algorithm development in electron tomography,” Ultramicroscopy 157, 35–47 (2015).
[Crossref] [PubMed]

B. Goris, J. De Beenhouwer, A. De Backer, D. Zanaga, K. J. Batenburg, A. Sánchze-Iglesias, L. M. Liz-Marazàn, S. Van Aert, S. Bals, J. Sijbers, and G. Van Tendeloo, “Measuring Lattice Strain in Three Dimensions through Electron Microscopy,” Nano Lett. 15, 6996–7001 (2015).
[Crossref] [PubMed]

Batenburg, K. J.

D. M. Pelt, D. Gürsoy, W. J. Palenstijn, J. Sijbers, F. De Carlo, and K. J. Batenburg, “Integration of TomoPy and the ASTRA toolbox for advanced processing and reconstruction of tomographic synchrotron data,” J. Synchrotron Radiat. 23, 842–849 (2016).
[Crossref] [PubMed]

W. van Aarle, W. J. Palenstijn, J. De Beenhouwer, T. Altantzis, S. Bals, K. J. Batenburg, and J. Sijbers, “The ASTRA Toolbox: A platform for advanced algorithm development in electron tomography,” Ultramicroscopy 157, 35–47 (2015).
[Crossref] [PubMed]

B. Goris, J. De Beenhouwer, A. De Backer, D. Zanaga, K. J. Batenburg, A. Sánchze-Iglesias, L. M. Liz-Marazàn, S. Van Aert, S. Bals, J. Sijbers, and G. Van Tendeloo, “Measuring Lattice Strain in Three Dimensions through Electron Microscopy,” Nano Lett. 15, 6996–7001 (2015).
[Crossref] [PubMed]

F. Bleichrodt, T. van Leeuwen, W. J. Palenstijn, W. van Aarle, J. Sijbers, and K. J. Batenburg, “Easy implementation of advanced tomography algorithms using the ASTRA toolbox with Spot operators,” Numer. Algorithms 71, 673–697 (2015).
[Crossref]

A. Dabravolski, K. J. Batenburg, and J. Sijbers, “Adaptive zooming in X-ray computed tomography,” J. Xray Sci. Technol. 22, 77–89 (2014).
[PubMed]

W. J. Palenstijn, K. J. Batenburg, and J. Sijbers, “Performance improvements for iterative electron tomography reconstruction using graphics processing units {(GPUs)},” J. Struct. Biol. 176, 250–253 (2011).
[Crossref] [PubMed]

K. J. Batenburg and J. Sijbers, “DART: a practical reconstruction algorithm for discrete tomography,” IEEE Trans. Image Processing 20, 2542–2553 (2011).
[Crossref]

Bavendiek, K.

U. Ewert, B. Redmer, C. Rädel, U. Schnars, R. Henrich, K. Bavendiek, and M. Jahn, “Mobile Computed Tomography for Inspection of Large Stationary Components in Nuclear and Aerospace Industries,” Materials Transactions 53, 308–310 (2012).
[Crossref]

Beck, A.

A. Beck and M. Teboulle, “A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems,” J. Imaging Sciences 2, 183–202 (2009).
[Crossref]

Benson, T.

J. Gregor and T. Benson, “Computational Analysis and Improvement of SIRT,” IEEE Trans. Medical Imaging 27, 918–924 (2008).
[Crossref] [PubMed]

Betcke, M. M.

C. B. Reid, M. M. Betcke, D. Chana, and R. D. Speller, “The development of a pseudo-3D imaging system (tomosynthesis) for security screening of passenger baggage,” Nucl. Instr. Meth. Phys. Res. A 652, 108–111 (2011).
[Crossref]

Bleichrodt, F.

F. Bleichrodt, T. van Leeuwen, W. J. Palenstijn, W. van Aarle, J. Sijbers, and K. J. Batenburg, “Easy implementation of advanced tomography algorithms using the ASTRA toolbox with Spot operators,” Numer. Algorithms 71, 673–697 (2015).
[Crossref]

Bogachev, S.

T. Dahmen, N. Marsalek, Lukas Marniok, B. Turonova, S. Bogachev, P. Trampert, S. Nickels, and P. Slusallek, “Ettention: building blocks for iterative reconstruction algorithms,” Proceedings of Microscopy & Microanalysis (2015).

Bornert, M.

N. Viganò, A. Tanguy, S. Hallais, A. Dimanov, and M. Bornert, “Three-dimensional full-field X-ray orientation microscopy,” Sci. Rep. 6, 1–9 (2016).
[Crossref]

Brun, E.

A. Mirone, E. Brun, E. Gouillart, P. Tafforeau, and J. Kieffer, “The PyHST2 hybrid distributed code for high speed tomographic reconstruction with iterative reconstruction and a priori knowledge capabilities,” Nucl. Instr. Meth. Phys. Res. B 324, 41–48 (2014).
[Crossref]

Carmignato, S.

L. De Chiffre, S. Carmignato, J. Kruth, R. Schmitt, and A. Weckenmann, “Industrial applications of computed tomography,” CIRP Annals - Manufacturing Technology 63, 655–677 (2014).
[Crossref]

Chana, D.

C. B. Reid, M. M. Betcke, D. Chana, and R. D. Speller, “The development of a pseudo-3D imaging system (tomosynthesis) for security screening of passenger baggage,” Nucl. Instr. Meth. Phys. Res. A 652, 108–111 (2011).
[Crossref]

Christensen, L. B.

L. B. Christensen, S. G. H. Erbou, M. Vester-Christensen, M. F. Hansen, M. Darré, M. Hviid, and E. V. Olsen, “Optimized Workflow and Validation of Carcass CT-scanning,” in 56th International Congress of Meat Science and Technology, (2010).

Cools, S.

S. Cools, P. Ghysels, W. van Aarle, J. Sijbers, and W. Vanroose, “A multi-level preconditioned Krylov method for the efficient solution of algebraic tomographic reconstruction problems,” J. Comput. Appl. Math. 283, 1–16 (2015).
[Crossref]

Cruikshank, R.

A. Sheppard, S. Latham, J. Middleton, A. Kingston, G. Myers, T. Varslot, A. Fogden, T. Sawkins, R. Cruikshank, M. Saadatfar, N. Francois, C. Arns, and T. Senden, “Techniques in helical scanning, dynamic imaging and image segmentation for improved quantitative analysis with X-ray micro-CT,” Nucl. Instr. Meth. Phys. Res. B 324, 49–56 (2014).
[Crossref]

Dabravolski, A.

A. Dabravolski, K. J. Batenburg, and J. Sijbers, “Adaptive zooming in X-ray computed tomography,” J. Xray Sci. Technol. 22, 77–89 (2014).
[PubMed]

Dahmen, T.

T. Dahmen, N. Marsalek, Lukas Marniok, B. Turonova, S. Bogachev, P. Trampert, S. Nickels, and P. Slusallek, “Ettention: building blocks for iterative reconstruction algorithms,” Proceedings of Microscopy & Microanalysis (2015).

Darré, M.

L. B. Christensen, S. G. H. Erbou, M. Vester-Christensen, M. F. Hansen, M. Darré, M. Hviid, and E. V. Olsen, “Optimized Workflow and Validation of Carcass CT-scanning,” in 56th International Congress of Meat Science and Technology, (2010).

De Backer, A.

B. Goris, J. De Beenhouwer, A. De Backer, D. Zanaga, K. J. Batenburg, A. Sánchze-Iglesias, L. M. Liz-Marazàn, S. Van Aert, S. Bals, J. Sijbers, and G. Van Tendeloo, “Measuring Lattice Strain in Three Dimensions through Electron Microscopy,” Nano Lett. 15, 6996–7001 (2015).
[Crossref] [PubMed]

De Beenhouwer, J.

B. Goris, J. De Beenhouwer, A. De Backer, D. Zanaga, K. J. Batenburg, A. Sánchze-Iglesias, L. M. Liz-Marazàn, S. Van Aert, S. Bals, J. Sijbers, and G. Van Tendeloo, “Measuring Lattice Strain in Three Dimensions through Electron Microscopy,” Nano Lett. 15, 6996–7001 (2015).
[Crossref] [PubMed]

W. van Aarle, W. J. Palenstijn, J. De Beenhouwer, T. Altantzis, S. Bals, K. J. Batenburg, and J. Sijbers, “The ASTRA Toolbox: A platform for advanced algorithm development in electron tomography,” Ultramicroscopy 157, 35–47 (2015).
[Crossref] [PubMed]

E. Janssens, J. De Beenhouwer, M. Van Dael, P. Verboven, B. Nicolai, and J. Sijbers, “Neural Network Based X-Ray Tomography for Fast Inspection of Apples on a Conveyor Belt,” in Proceedings of IEEE International Conference on Image Processing, (IEEE, 2015), pp. 917–921.

De Carlo, F.

D. M. Pelt, D. Gürsoy, W. J. Palenstijn, J. Sijbers, F. De Carlo, and K. J. Batenburg, “Integration of TomoPy and the ASTRA toolbox for advanced processing and reconstruction of tomographic synchrotron data,” J. Synchrotron Radiat. 23, 842–849 (2016).
[Crossref] [PubMed]

D. Gürsoy, F. De Carlo, X. Xiao, and C. Jacobsen, “TomoPy : a framework for the analysis of synchrotron tomographic data,” J. Synchrotron Radiat. 21, 1188–1193 (2014).
[Crossref]

De Chiffre, L.

L. De Chiffre, S. Carmignato, J. Kruth, R. Schmitt, and A. Weckenmann, “Industrial applications of computed tomography,” CIRP Annals - Manufacturing Technology 63, 655–677 (2014).
[Crossref]

Dimanov, A.

N. Viganò, A. Tanguy, S. Hallais, A. Dimanov, and M. Bornert, “Three-dimensional full-field X-ray orientation microscopy,” Sci. Rep. 6, 1–9 (2016).
[Crossref]

Erbou, S. G. H.

L. B. Christensen, S. G. H. Erbou, M. Vester-Christensen, M. F. Hansen, M. Darré, M. Hviid, and E. V. Olsen, “Optimized Workflow and Validation of Carcass CT-scanning,” in 56th International Congress of Meat Science and Technology, (2010).

Ewert, U.

U. Ewert, B. Redmer, C. Rädel, U. Schnars, R. Henrich, K. Bavendiek, and M. Jahn, “Mobile Computed Tomography for Inspection of Large Stationary Components in Nuclear and Aerospace Industries,” Materials Transactions 53, 308–310 (2012).
[Crossref]

Fogden, A.

A. Sheppard, S. Latham, J. Middleton, A. Kingston, G. Myers, T. Varslot, A. Fogden, T. Sawkins, R. Cruikshank, M. Saadatfar, N. Francois, C. Arns, and T. Senden, “Techniques in helical scanning, dynamic imaging and image segmentation for improved quantitative analysis with X-ray micro-CT,” Nucl. Instr. Meth. Phys. Res. B 324, 49–56 (2014).
[Crossref]

Francois, N.

A. Sheppard, S. Latham, J. Middleton, A. Kingston, G. Myers, T. Varslot, A. Fogden, T. Sawkins, R. Cruikshank, M. Saadatfar, N. Francois, C. Arns, and T. Senden, “Techniques in helical scanning, dynamic imaging and image segmentation for improved quantitative analysis with X-ray micro-CT,” Nucl. Instr. Meth. Phys. Res. B 324, 49–56 (2014).
[Crossref]

Ghysels, P.

S. Cools, P. Ghysels, W. van Aarle, J. Sijbers, and W. Vanroose, “A multi-level preconditioned Krylov method for the efficient solution of algebraic tomographic reconstruction problems,” J. Comput. Appl. Math. 283, 1–16 (2015).
[Crossref]

W. van Aarle, P. Ghysels, J. Sijbers, and W. Vanroose, “Memory access optimization for iterative tomography on many-core architectures,” in Proceedings of 12th Int. Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine, (2013), pp. 364–367.

Goris, B.

B. Goris, J. De Beenhouwer, A. De Backer, D. Zanaga, K. J. Batenburg, A. Sánchze-Iglesias, L. M. Liz-Marazàn, S. Van Aert, S. Bals, J. Sijbers, and G. Van Tendeloo, “Measuring Lattice Strain in Three Dimensions through Electron Microscopy,” Nano Lett. 15, 6996–7001 (2015).
[Crossref] [PubMed]

Gouillart, E.

A. Mirone, E. Brun, E. Gouillart, P. Tafforeau, and J. Kieffer, “The PyHST2 hybrid distributed code for high speed tomographic reconstruction with iterative reconstruction and a priori knowledge capabilities,” Nucl. Instr. Meth. Phys. Res. B 324, 41–48 (2014).
[Crossref]

Gregor, J.

J. Gregor and T. Benson, “Computational Analysis and Improvement of SIRT,” IEEE Trans. Medical Imaging 27, 918–924 (2008).
[Crossref] [PubMed]

Gürsoy, D.

D. M. Pelt, D. Gürsoy, W. J. Palenstijn, J. Sijbers, F. De Carlo, and K. J. Batenburg, “Integration of TomoPy and the ASTRA toolbox for advanced processing and reconstruction of tomographic synchrotron data,” J. Synchrotron Radiat. 23, 842–849 (2016).
[Crossref] [PubMed]

D. Gürsoy, F. De Carlo, X. Xiao, and C. Jacobsen, “TomoPy : a framework for the analysis of synchrotron tomographic data,” J. Synchrotron Radiat. 21, 1188–1193 (2014).
[Crossref]

Hallais, S.

N. Viganò, A. Tanguy, S. Hallais, A. Dimanov, and M. Bornert, “Three-dimensional full-field X-ray orientation microscopy,” Sci. Rep. 6, 1–9 (2016).
[Crossref]

Hansen, M. F.

L. B. Christensen, S. G. H. Erbou, M. Vester-Christensen, M. F. Hansen, M. Darré, M. Hviid, and E. V. Olsen, “Optimized Workflow and Validation of Carcass CT-scanning,” in 56th International Congress of Meat Science and Technology, (2010).

Helvie, M. A.

M. A. Helvie, “Digital Mammography Imaging: Breast Tomosynthesis and Advanced Applications,” Radiol Clin North Am. 48, 917–929 (2010).
[Crossref] [PubMed]

Henrich, R.

U. Ewert, B. Redmer, C. Rädel, U. Schnars, R. Henrich, K. Bavendiek, and M. Jahn, “Mobile Computed Tomography for Inspection of Large Stationary Components in Nuclear and Aerospace Industries,” Materials Transactions 53, 308–310 (2012).
[Crossref]

Hviid, M.

L. B. Christensen, S. G. H. Erbou, M. Vester-Christensen, M. F. Hansen, M. Darré, M. Hviid, and E. V. Olsen, “Optimized Workflow and Validation of Carcass CT-scanning,” in 56th International Congress of Meat Science and Technology, (2010).

Jacobsen, C.

D. Gürsoy, F. De Carlo, X. Xiao, and C. Jacobsen, “TomoPy : a framework for the analysis of synchrotron tomographic data,” J. Synchrotron Radiat. 21, 1188–1193 (2014).
[Crossref]

Jahn, M.

U. Ewert, B. Redmer, C. Rädel, U. Schnars, R. Henrich, K. Bavendiek, and M. Jahn, “Mobile Computed Tomography for Inspection of Large Stationary Components in Nuclear and Aerospace Industries,” Materials Transactions 53, 308–310 (2012).
[Crossref]

Janssens, E.

E. Janssens, J. De Beenhouwer, M. Van Dael, P. Verboven, B. Nicolai, and J. Sijbers, “Neural Network Based X-Ray Tomography for Fast Inspection of Apples on a Conveyor Belt,” in Proceedings of IEEE International Conference on Image Processing, (IEEE, 2015), pp. 917–921.

Jørgensen, J. H.

E. Y. Sidky, J. H. Jørgensen, and X. Pan, “Convex optimization problem prototyping for image reconstruction in computed tomography with the Chambolle Pock algorithm,” Phys. Med. Biol. 57, 3065–3091 (2012).
[Crossref] [PubMed]

Kerckhofs, G.

S. Van Bael, G. Kerckhofs, M. Moesen, G. Pyka, J. Schrooten, and J. P. Kruth, “Micro-CT-based improvement of geometrical and mechanical controllability of selective laser melted Ti6Al4V porous structures,” Mater. Sci. Eng. A 528, 7423–7431 (2011).
[Crossref]

Kieffer, J.

A. Mirone, E. Brun, E. Gouillart, P. Tafforeau, and J. Kieffer, “The PyHST2 hybrid distributed code for high speed tomographic reconstruction with iterative reconstruction and a priori knowledge capabilities,” Nucl. Instr. Meth. Phys. Res. B 324, 41–48 (2014).
[Crossref]

Kingston, A.

A. Sheppard, S. Latham, J. Middleton, A. Kingston, G. Myers, T. Varslot, A. Fogden, T. Sawkins, R. Cruikshank, M. Saadatfar, N. Francois, C. Arns, and T. Senden, “Techniques in helical scanning, dynamic imaging and image segmentation for improved quantitative analysis with X-ray micro-CT,” Nucl. Instr. Meth. Phys. Res. B 324, 49–56 (2014).
[Crossref]

Kruth, J.

L. De Chiffre, S. Carmignato, J. Kruth, R. Schmitt, and A. Weckenmann, “Industrial applications of computed tomography,” CIRP Annals - Manufacturing Technology 63, 655–677 (2014).
[Crossref]

Kruth, J. P.

S. Van Bael, G. Kerckhofs, M. Moesen, G. Pyka, J. Schrooten, and J. P. Kruth, “Micro-CT-based improvement of geometrical and mechanical controllability of selective laser melted Ti6Al4V porous structures,” Mater. Sci. Eng. A 528, 7423–7431 (2011).
[Crossref]

Latham, S.

A. Sheppard, S. Latham, J. Middleton, A. Kingston, G. Myers, T. Varslot, A. Fogden, T. Sawkins, R. Cruikshank, M. Saadatfar, N. Francois, C. Arns, and T. Senden, “Techniques in helical scanning, dynamic imaging and image segmentation for improved quantitative analysis with X-ray micro-CT,” Nucl. Instr. Meth. Phys. Res. B 324, 49–56 (2014).
[Crossref]

Le, V.

E. Perilli, V. Le, B. Ma, P. Salmon, and K. Reynolds, “Detecting early bone changes using in vivo micro-CT in ovariectomized, zoledronic acid-treated, and sham-operated rats,” Osteoporos Int. 21, 1371–1382 (2010).
[Crossref]

Liz-Marazàn, L. M.

B. Goris, J. De Beenhouwer, A. De Backer, D. Zanaga, K. J. Batenburg, A. Sánchze-Iglesias, L. M. Liz-Marazàn, S. Van Aert, S. Bals, J. Sijbers, and G. Van Tendeloo, “Measuring Lattice Strain in Three Dimensions through Electron Microscopy,” Nano Lett. 15, 6996–7001 (2015).
[Crossref] [PubMed]

Ma, B.

E. Perilli, V. Le, B. Ma, P. Salmon, and K. Reynolds, “Detecting early bone changes using in vivo micro-CT in ovariectomized, zoledronic acid-treated, and sham-operated rats,” Osteoporos Int. 21, 1371–1382 (2010).
[Crossref]

Maisl, M.

M. Maisl, F. Porsch, and C. Schorr, “Computed Laminography for X-ray Inspection of Lightweight Constructions,” in 2nd International Symposium on NDT in Aerospace (2010), pp. 2–8.

Marniok, Lukas

T. Dahmen, N. Marsalek, Lukas Marniok, B. Turonova, S. Bogachev, P. Trampert, S. Nickels, and P. Slusallek, “Ettention: building blocks for iterative reconstruction algorithms,” Proceedings of Microscopy & Microanalysis (2015).

Marsalek, N.

T. Dahmen, N. Marsalek, Lukas Marniok, B. Turonova, S. Bogachev, P. Trampert, S. Nickels, and P. Slusallek, “Ettention: building blocks for iterative reconstruction algorithms,” Proceedings of Microscopy & Microanalysis (2015).

Middleton, J.

A. Sheppard, S. Latham, J. Middleton, A. Kingston, G. Myers, T. Varslot, A. Fogden, T. Sawkins, R. Cruikshank, M. Saadatfar, N. Francois, C. Arns, and T. Senden, “Techniques in helical scanning, dynamic imaging and image segmentation for improved quantitative analysis with X-ray micro-CT,” Nucl. Instr. Meth. Phys. Res. B 324, 49–56 (2014).
[Crossref]

Mirone, A.

A. Mirone, E. Brun, E. Gouillart, P. Tafforeau, and J. Kieffer, “The PyHST2 hybrid distributed code for high speed tomographic reconstruction with iterative reconstruction and a priori knowledge capabilities,” Nucl. Instr. Meth. Phys. Res. B 324, 41–48 (2014).
[Crossref]

Moesen, M.

S. Van Bael, G. Kerckhofs, M. Moesen, G. Pyka, J. Schrooten, and J. P. Kruth, “Micro-CT-based improvement of geometrical and mechanical controllability of selective laser melted Ti6Al4V porous structures,” Mater. Sci. Eng. A 528, 7423–7431 (2011).
[Crossref]

Myers, G.

A. Sheppard, S. Latham, J. Middleton, A. Kingston, G. Myers, T. Varslot, A. Fogden, T. Sawkins, R. Cruikshank, M. Saadatfar, N. Francois, C. Arns, and T. Senden, “Techniques in helical scanning, dynamic imaging and image segmentation for improved quantitative analysis with X-ray micro-CT,” Nucl. Instr. Meth. Phys. Res. B 324, 49–56 (2014).
[Crossref]

Nickels, S.

T. Dahmen, N. Marsalek, Lukas Marniok, B. Turonova, S. Bogachev, P. Trampert, S. Nickels, and P. Slusallek, “Ettention: building blocks for iterative reconstruction algorithms,” Proceedings of Microscopy & Microanalysis (2015).

Nicolai, B.

E. Janssens, J. De Beenhouwer, M. Van Dael, P. Verboven, B. Nicolai, and J. Sijbers, “Neural Network Based X-Ray Tomography for Fast Inspection of Apples on a Conveyor Belt,” in Proceedings of IEEE International Conference on Image Processing, (IEEE, 2015), pp. 917–921.

Olsen, E. V.

L. B. Christensen, S. G. H. Erbou, M. Vester-Christensen, M. F. Hansen, M. Darré, M. Hviid, and E. V. Olsen, “Optimized Workflow and Validation of Carcass CT-scanning,” in 56th International Congress of Meat Science and Technology, (2010).

Palenstijn, W. J.

D. M. Pelt, D. Gürsoy, W. J. Palenstijn, J. Sijbers, F. De Carlo, and K. J. Batenburg, “Integration of TomoPy and the ASTRA toolbox for advanced processing and reconstruction of tomographic synchrotron data,” J. Synchrotron Radiat. 23, 842–849 (2016).
[Crossref] [PubMed]

W. van Aarle, W. J. Palenstijn, J. De Beenhouwer, T. Altantzis, S. Bals, K. J. Batenburg, and J. Sijbers, “The ASTRA Toolbox: A platform for advanced algorithm development in electron tomography,” Ultramicroscopy 157, 35–47 (2015).
[Crossref] [PubMed]

F. Bleichrodt, T. van Leeuwen, W. J. Palenstijn, W. van Aarle, J. Sijbers, and K. J. Batenburg, “Easy implementation of advanced tomography algorithms using the ASTRA toolbox with Spot operators,” Numer. Algorithms 71, 673–697 (2015).
[Crossref]

W. J. Palenstijn, K. J. Batenburg, and J. Sijbers, “Performance improvements for iterative electron tomography reconstruction using graphics processing units {(GPUs)},” J. Struct. Biol. 176, 250–253 (2011).
[Crossref] [PubMed]

Pan, X.

E. Y. Sidky, J. H. Jørgensen, and X. Pan, “Convex optimization problem prototyping for image reconstruction in computed tomography with the Chambolle Pock algorithm,” Phys. Med. Biol. 57, 3065–3091 (2012).
[Crossref] [PubMed]

Pelt, D. M.

D. M. Pelt, D. Gürsoy, W. J. Palenstijn, J. Sijbers, F. De Carlo, and K. J. Batenburg, “Integration of TomoPy and the ASTRA toolbox for advanced processing and reconstruction of tomographic synchrotron data,” J. Synchrotron Radiat. 23, 842–849 (2016).
[Crossref] [PubMed]

Perilli, E.

E. Perilli, V. Le, B. Ma, P. Salmon, and K. Reynolds, “Detecting early bone changes using in vivo micro-CT in ovariectomized, zoledronic acid-treated, and sham-operated rats,” Osteoporos Int. 21, 1371–1382 (2010).
[Crossref]

Porsch, F.

M. Maisl, F. Porsch, and C. Schorr, “Computed Laminography for X-ray Inspection of Lightweight Constructions,” in 2nd International Symposium on NDT in Aerospace (2010), pp. 2–8.

Pyka, G.

S. Van Bael, G. Kerckhofs, M. Moesen, G. Pyka, J. Schrooten, and J. P. Kruth, “Micro-CT-based improvement of geometrical and mechanical controllability of selective laser melted Ti6Al4V porous structures,” Mater. Sci. Eng. A 528, 7423–7431 (2011).
[Crossref]

Rädel, C.

U. Ewert, B. Redmer, C. Rädel, U. Schnars, R. Henrich, K. Bavendiek, and M. Jahn, “Mobile Computed Tomography for Inspection of Large Stationary Components in Nuclear and Aerospace Industries,” Materials Transactions 53, 308–310 (2012).
[Crossref]

Redmer, B.

U. Ewert, B. Redmer, C. Rädel, U. Schnars, R. Henrich, K. Bavendiek, and M. Jahn, “Mobile Computed Tomography for Inspection of Large Stationary Components in Nuclear and Aerospace Industries,” Materials Transactions 53, 308–310 (2012).
[Crossref]

Reid, C. B.

C. B. Reid, M. M. Betcke, D. Chana, and R. D. Speller, “The development of a pseudo-3D imaging system (tomosynthesis) for security screening of passenger baggage,” Nucl. Instr. Meth. Phys. Res. A 652, 108–111 (2011).
[Crossref]

Reynolds, K.

E. Perilli, V. Le, B. Ma, P. Salmon, and K. Reynolds, “Detecting early bone changes using in vivo micro-CT in ovariectomized, zoledronic acid-treated, and sham-operated rats,” Osteoporos Int. 21, 1371–1382 (2010).
[Crossref]

Saadatfar, M.

A. Sheppard, S. Latham, J. Middleton, A. Kingston, G. Myers, T. Varslot, A. Fogden, T. Sawkins, R. Cruikshank, M. Saadatfar, N. Francois, C. Arns, and T. Senden, “Techniques in helical scanning, dynamic imaging and image segmentation for improved quantitative analysis with X-ray micro-CT,” Nucl. Instr. Meth. Phys. Res. B 324, 49–56 (2014).
[Crossref]

Salmon, P.

E. Perilli, V. Le, B. Ma, P. Salmon, and K. Reynolds, “Detecting early bone changes using in vivo micro-CT in ovariectomized, zoledronic acid-treated, and sham-operated rats,” Osteoporos Int. 21, 1371–1382 (2010).
[Crossref]

Sánchze-Iglesias, A.

B. Goris, J. De Beenhouwer, A. De Backer, D. Zanaga, K. J. Batenburg, A. Sánchze-Iglesias, L. M. Liz-Marazàn, S. Van Aert, S. Bals, J. Sijbers, and G. Van Tendeloo, “Measuring Lattice Strain in Three Dimensions through Electron Microscopy,” Nano Lett. 15, 6996–7001 (2015).
[Crossref] [PubMed]

Sawkins, T.

A. Sheppard, S. Latham, J. Middleton, A. Kingston, G. Myers, T. Varslot, A. Fogden, T. Sawkins, R. Cruikshank, M. Saadatfar, N. Francois, C. Arns, and T. Senden, “Techniques in helical scanning, dynamic imaging and image segmentation for improved quantitative analysis with X-ray micro-CT,” Nucl. Instr. Meth. Phys. Res. B 324, 49–56 (2014).
[Crossref]

Schmitt, R.

L. De Chiffre, S. Carmignato, J. Kruth, R. Schmitt, and A. Weckenmann, “Industrial applications of computed tomography,” CIRP Annals - Manufacturing Technology 63, 655–677 (2014).
[Crossref]

Schnars, U.

U. Ewert, B. Redmer, C. Rädel, U. Schnars, R. Henrich, K. Bavendiek, and M. Jahn, “Mobile Computed Tomography for Inspection of Large Stationary Components in Nuclear and Aerospace Industries,” Materials Transactions 53, 308–310 (2012).
[Crossref]

Schorr, C.

M. Maisl, F. Porsch, and C. Schorr, “Computed Laminography for X-ray Inspection of Lightweight Constructions,” in 2nd International Symposium on NDT in Aerospace (2010), pp. 2–8.

Schrooten, J.

S. Van Bael, G. Kerckhofs, M. Moesen, G. Pyka, J. Schrooten, and J. P. Kruth, “Micro-CT-based improvement of geometrical and mechanical controllability of selective laser melted Ti6Al4V porous structures,” Mater. Sci. Eng. A 528, 7423–7431 (2011).
[Crossref]

Senden, T.

A. Sheppard, S. Latham, J. Middleton, A. Kingston, G. Myers, T. Varslot, A. Fogden, T. Sawkins, R. Cruikshank, M. Saadatfar, N. Francois, C. Arns, and T. Senden, “Techniques in helical scanning, dynamic imaging and image segmentation for improved quantitative analysis with X-ray micro-CT,” Nucl. Instr. Meth. Phys. Res. B 324, 49–56 (2014).
[Crossref]

Sheppard, A.

A. Sheppard, S. Latham, J. Middleton, A. Kingston, G. Myers, T. Varslot, A. Fogden, T. Sawkins, R. Cruikshank, M. Saadatfar, N. Francois, C. Arns, and T. Senden, “Techniques in helical scanning, dynamic imaging and image segmentation for improved quantitative analysis with X-ray micro-CT,” Nucl. Instr. Meth. Phys. Res. B 324, 49–56 (2014).
[Crossref]

Sidky, E. Y.

E. Y. Sidky, J. H. Jørgensen, and X. Pan, “Convex optimization problem prototyping for image reconstruction in computed tomography with the Chambolle Pock algorithm,” Phys. Med. Biol. 57, 3065–3091 (2012).
[Crossref] [PubMed]

Sijbers, J.

D. M. Pelt, D. Gürsoy, W. J. Palenstijn, J. Sijbers, F. De Carlo, and K. J. Batenburg, “Integration of TomoPy and the ASTRA toolbox for advanced processing and reconstruction of tomographic synchrotron data,” J. Synchrotron Radiat. 23, 842–849 (2016).
[Crossref] [PubMed]

W. van Aarle, W. J. Palenstijn, J. De Beenhouwer, T. Altantzis, S. Bals, K. J. Batenburg, and J. Sijbers, “The ASTRA Toolbox: A platform for advanced algorithm development in electron tomography,” Ultramicroscopy 157, 35–47 (2015).
[Crossref] [PubMed]

F. Bleichrodt, T. van Leeuwen, W. J. Palenstijn, W. van Aarle, J. Sijbers, and K. J. Batenburg, “Easy implementation of advanced tomography algorithms using the ASTRA toolbox with Spot operators,” Numer. Algorithms 71, 673–697 (2015).
[Crossref]

S. Cools, P. Ghysels, W. van Aarle, J. Sijbers, and W. Vanroose, “A multi-level preconditioned Krylov method for the efficient solution of algebraic tomographic reconstruction problems,” J. Comput. Appl. Math. 283, 1–16 (2015).
[Crossref]

B. Goris, J. De Beenhouwer, A. De Backer, D. Zanaga, K. J. Batenburg, A. Sánchze-Iglesias, L. M. Liz-Marazàn, S. Van Aert, S. Bals, J. Sijbers, and G. Van Tendeloo, “Measuring Lattice Strain in Three Dimensions through Electron Microscopy,” Nano Lett. 15, 6996–7001 (2015).
[Crossref] [PubMed]

A. Dabravolski, K. J. Batenburg, and J. Sijbers, “Adaptive zooming in X-ray computed tomography,” J. Xray Sci. Technol. 22, 77–89 (2014).
[PubMed]

W. J. Palenstijn, K. J. Batenburg, and J. Sijbers, “Performance improvements for iterative electron tomography reconstruction using graphics processing units {(GPUs)},” J. Struct. Biol. 176, 250–253 (2011).
[Crossref] [PubMed]

K. J. Batenburg and J. Sijbers, “DART: a practical reconstruction algorithm for discrete tomography,” IEEE Trans. Image Processing 20, 2542–2553 (2011).
[Crossref]

E. Janssens, J. De Beenhouwer, M. Van Dael, P. Verboven, B. Nicolai, and J. Sijbers, “Neural Network Based X-Ray Tomography for Fast Inspection of Apples on a Conveyor Belt,” in Proceedings of IEEE International Conference on Image Processing, (IEEE, 2015), pp. 917–921.

W. van Aarle, P. Ghysels, J. Sijbers, and W. Vanroose, “Memory access optimization for iterative tomography on many-core architectures,” in Proceedings of 12th Int. Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine, (2013), pp. 364–367.

Slusallek, P.

T. Dahmen, N. Marsalek, Lukas Marniok, B. Turonova, S. Bogachev, P. Trampert, S. Nickels, and P. Slusallek, “Ettention: building blocks for iterative reconstruction algorithms,” Proceedings of Microscopy & Microanalysis (2015).

Speller, R. D.

C. B. Reid, M. M. Betcke, D. Chana, and R. D. Speller, “The development of a pseudo-3D imaging system (tomosynthesis) for security screening of passenger baggage,” Nucl. Instr. Meth. Phys. Res. A 652, 108–111 (2011).
[Crossref]

Tafforeau, P.

A. Mirone, E. Brun, E. Gouillart, P. Tafforeau, and J. Kieffer, “The PyHST2 hybrid distributed code for high speed tomographic reconstruction with iterative reconstruction and a priori knowledge capabilities,” Nucl. Instr. Meth. Phys. Res. B 324, 41–48 (2014).
[Crossref]

Tanguy, A.

N. Viganò, A. Tanguy, S. Hallais, A. Dimanov, and M. Bornert, “Three-dimensional full-field X-ray orientation microscopy,” Sci. Rep. 6, 1–9 (2016).
[Crossref]

Teboulle, M.

A. Beck and M. Teboulle, “A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems,” J. Imaging Sciences 2, 183–202 (2009).
[Crossref]

Trampert, P.

T. Dahmen, N. Marsalek, Lukas Marniok, B. Turonova, S. Bogachev, P. Trampert, S. Nickels, and P. Slusallek, “Ettention: building blocks for iterative reconstruction algorithms,” Proceedings of Microscopy & Microanalysis (2015).

Turonova, B.

T. Dahmen, N. Marsalek, Lukas Marniok, B. Turonova, S. Bogachev, P. Trampert, S. Nickels, and P. Slusallek, “Ettention: building blocks for iterative reconstruction algorithms,” Proceedings of Microscopy & Microanalysis (2015).

van Aarle, W.

W. van Aarle, W. J. Palenstijn, J. De Beenhouwer, T. Altantzis, S. Bals, K. J. Batenburg, and J. Sijbers, “The ASTRA Toolbox: A platform for advanced algorithm development in electron tomography,” Ultramicroscopy 157, 35–47 (2015).
[Crossref] [PubMed]

F. Bleichrodt, T. van Leeuwen, W. J. Palenstijn, W. van Aarle, J. Sijbers, and K. J. Batenburg, “Easy implementation of advanced tomography algorithms using the ASTRA toolbox with Spot operators,” Numer. Algorithms 71, 673–697 (2015).
[Crossref]

S. Cools, P. Ghysels, W. van Aarle, J. Sijbers, and W. Vanroose, “A multi-level preconditioned Krylov method for the efficient solution of algebraic tomographic reconstruction problems,” J. Comput. Appl. Math. 283, 1–16 (2015).
[Crossref]

W. van Aarle, P. Ghysels, J. Sijbers, and W. Vanroose, “Memory access optimization for iterative tomography on many-core architectures,” in Proceedings of 12th Int. Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine, (2013), pp. 364–367.

Van Aert, S.

B. Goris, J. De Beenhouwer, A. De Backer, D. Zanaga, K. J. Batenburg, A. Sánchze-Iglesias, L. M. Liz-Marazàn, S. Van Aert, S. Bals, J. Sijbers, and G. Van Tendeloo, “Measuring Lattice Strain in Three Dimensions through Electron Microscopy,” Nano Lett. 15, 6996–7001 (2015).
[Crossref] [PubMed]

Van Bael, S.

S. Van Bael, G. Kerckhofs, M. Moesen, G. Pyka, J. Schrooten, and J. P. Kruth, “Micro-CT-based improvement of geometrical and mechanical controllability of selective laser melted Ti6Al4V porous structures,” Mater. Sci. Eng. A 528, 7423–7431 (2011).
[Crossref]

Van Dael, M.

E. Janssens, J. De Beenhouwer, M. Van Dael, P. Verboven, B. Nicolai, and J. Sijbers, “Neural Network Based X-Ray Tomography for Fast Inspection of Apples on a Conveyor Belt,” in Proceedings of IEEE International Conference on Image Processing, (IEEE, 2015), pp. 917–921.

van Leeuwen, T.

F. Bleichrodt, T. van Leeuwen, W. J. Palenstijn, W. van Aarle, J. Sijbers, and K. J. Batenburg, “Easy implementation of advanced tomography algorithms using the ASTRA toolbox with Spot operators,” Numer. Algorithms 71, 673–697 (2015).
[Crossref]

Van Tendeloo, G.

B. Goris, J. De Beenhouwer, A. De Backer, D. Zanaga, K. J. Batenburg, A. Sánchze-Iglesias, L. M. Liz-Marazàn, S. Van Aert, S. Bals, J. Sijbers, and G. Van Tendeloo, “Measuring Lattice Strain in Three Dimensions through Electron Microscopy,” Nano Lett. 15, 6996–7001 (2015).
[Crossref] [PubMed]

Vanroose, W.

S. Cools, P. Ghysels, W. van Aarle, J. Sijbers, and W. Vanroose, “A multi-level preconditioned Krylov method for the efficient solution of algebraic tomographic reconstruction problems,” J. Comput. Appl. Math. 283, 1–16 (2015).
[Crossref]

W. van Aarle, P. Ghysels, J. Sijbers, and W. Vanroose, “Memory access optimization for iterative tomography on many-core architectures,” in Proceedings of 12th Int. Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine, (2013), pp. 364–367.

Varslot, T.

A. Sheppard, S. Latham, J. Middleton, A. Kingston, G. Myers, T. Varslot, A. Fogden, T. Sawkins, R. Cruikshank, M. Saadatfar, N. Francois, C. Arns, and T. Senden, “Techniques in helical scanning, dynamic imaging and image segmentation for improved quantitative analysis with X-ray micro-CT,” Nucl. Instr. Meth. Phys. Res. B 324, 49–56 (2014).
[Crossref]

Verboven, P.

E. Janssens, J. De Beenhouwer, M. Van Dael, P. Verboven, B. Nicolai, and J. Sijbers, “Neural Network Based X-Ray Tomography for Fast Inspection of Apples on a Conveyor Belt,” in Proceedings of IEEE International Conference on Image Processing, (IEEE, 2015), pp. 917–921.

Vester-Christensen, M.

L. B. Christensen, S. G. H. Erbou, M. Vester-Christensen, M. F. Hansen, M. Darré, M. Hviid, and E. V. Olsen, “Optimized Workflow and Validation of Carcass CT-scanning,” in 56th International Congress of Meat Science and Technology, (2010).

Viganò, N.

N. Viganò, A. Tanguy, S. Hallais, A. Dimanov, and M. Bornert, “Three-dimensional full-field X-ray orientation microscopy,” Sci. Rep. 6, 1–9 (2016).
[Crossref]

Weckenmann, A.

L. De Chiffre, S. Carmignato, J. Kruth, R. Schmitt, and A. Weckenmann, “Industrial applications of computed tomography,” CIRP Annals - Manufacturing Technology 63, 655–677 (2014).
[Crossref]

Xiao, X.

D. Gürsoy, F. De Carlo, X. Xiao, and C. Jacobsen, “TomoPy : a framework for the analysis of synchrotron tomographic data,” J. Synchrotron Radiat. 21, 1188–1193 (2014).
[Crossref]

Zanaga, D.

B. Goris, J. De Beenhouwer, A. De Backer, D. Zanaga, K. J. Batenburg, A. Sánchze-Iglesias, L. M. Liz-Marazàn, S. Van Aert, S. Bals, J. Sijbers, and G. Van Tendeloo, “Measuring Lattice Strain in Three Dimensions through Electron Microscopy,” Nano Lett. 15, 6996–7001 (2015).
[Crossref] [PubMed]

CIRP Annals - Manufacturing Technology (1)

L. De Chiffre, S. Carmignato, J. Kruth, R. Schmitt, and A. Weckenmann, “Industrial applications of computed tomography,” CIRP Annals - Manufacturing Technology 63, 655–677 (2014).
[Crossref]

IEEE Trans. Image Processing (1)

K. J. Batenburg and J. Sijbers, “DART: a practical reconstruction algorithm for discrete tomography,” IEEE Trans. Image Processing 20, 2542–2553 (2011).
[Crossref]

IEEE Trans. Medical Imaging (1)

J. Gregor and T. Benson, “Computational Analysis and Improvement of SIRT,” IEEE Trans. Medical Imaging 27, 918–924 (2008).
[Crossref] [PubMed]

J. Comput. Appl. Math. (1)

S. Cools, P. Ghysels, W. van Aarle, J. Sijbers, and W. Vanroose, “A multi-level preconditioned Krylov method for the efficient solution of algebraic tomographic reconstruction problems,” J. Comput. Appl. Math. 283, 1–16 (2015).
[Crossref]

J. Imaging Sciences (1)

A. Beck and M. Teboulle, “A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems,” J. Imaging Sciences 2, 183–202 (2009).
[Crossref]

J. Struct. Biol. (1)

W. J. Palenstijn, K. J. Batenburg, and J. Sijbers, “Performance improvements for iterative electron tomography reconstruction using graphics processing units {(GPUs)},” J. Struct. Biol. 176, 250–253 (2011).
[Crossref] [PubMed]

J. Synchrotron Radiat. (2)

D. M. Pelt, D. Gürsoy, W. J. Palenstijn, J. Sijbers, F. De Carlo, and K. J. Batenburg, “Integration of TomoPy and the ASTRA toolbox for advanced processing and reconstruction of tomographic synchrotron data,” J. Synchrotron Radiat. 23, 842–849 (2016).
[Crossref] [PubMed]

D. Gürsoy, F. De Carlo, X. Xiao, and C. Jacobsen, “TomoPy : a framework for the analysis of synchrotron tomographic data,” J. Synchrotron Radiat. 21, 1188–1193 (2014).
[Crossref]

J. Xray Sci. Technol. (1)

A. Dabravolski, K. J. Batenburg, and J. Sijbers, “Adaptive zooming in X-ray computed tomography,” J. Xray Sci. Technol. 22, 77–89 (2014).
[PubMed]

Mater. Sci. Eng. A (1)

S. Van Bael, G. Kerckhofs, M. Moesen, G. Pyka, J. Schrooten, and J. P. Kruth, “Micro-CT-based improvement of geometrical and mechanical controllability of selective laser melted Ti6Al4V porous structures,” Mater. Sci. Eng. A 528, 7423–7431 (2011).
[Crossref]

Materials Transactions (1)

U. Ewert, B. Redmer, C. Rädel, U. Schnars, R. Henrich, K. Bavendiek, and M. Jahn, “Mobile Computed Tomography for Inspection of Large Stationary Components in Nuclear and Aerospace Industries,” Materials Transactions 53, 308–310 (2012).
[Crossref]

Nano Lett. (1)

B. Goris, J. De Beenhouwer, A. De Backer, D. Zanaga, K. J. Batenburg, A. Sánchze-Iglesias, L. M. Liz-Marazàn, S. Van Aert, S. Bals, J. Sijbers, and G. Van Tendeloo, “Measuring Lattice Strain in Three Dimensions through Electron Microscopy,” Nano Lett. 15, 6996–7001 (2015).
[Crossref] [PubMed]

Nucl. Instr. Meth. Phys. Res. A (1)

C. B. Reid, M. M. Betcke, D. Chana, and R. D. Speller, “The development of a pseudo-3D imaging system (tomosynthesis) for security screening of passenger baggage,” Nucl. Instr. Meth. Phys. Res. A 652, 108–111 (2011).
[Crossref]

Nucl. Instr. Meth. Phys. Res. B (2)

A. Sheppard, S. Latham, J. Middleton, A. Kingston, G. Myers, T. Varslot, A. Fogden, T. Sawkins, R. Cruikshank, M. Saadatfar, N. Francois, C. Arns, and T. Senden, “Techniques in helical scanning, dynamic imaging and image segmentation for improved quantitative analysis with X-ray micro-CT,” Nucl. Instr. Meth. Phys. Res. B 324, 49–56 (2014).
[Crossref]

A. Mirone, E. Brun, E. Gouillart, P. Tafforeau, and J. Kieffer, “The PyHST2 hybrid distributed code for high speed tomographic reconstruction with iterative reconstruction and a priori knowledge capabilities,” Nucl. Instr. Meth. Phys. Res. B 324, 41–48 (2014).
[Crossref]

Numer. Algorithms (1)

F. Bleichrodt, T. van Leeuwen, W. J. Palenstijn, W. van Aarle, J. Sijbers, and K. J. Batenburg, “Easy implementation of advanced tomography algorithms using the ASTRA toolbox with Spot operators,” Numer. Algorithms 71, 673–697 (2015).
[Crossref]

Osteoporos Int. (1)

E. Perilli, V. Le, B. Ma, P. Salmon, and K. Reynolds, “Detecting early bone changes using in vivo micro-CT in ovariectomized, zoledronic acid-treated, and sham-operated rats,” Osteoporos Int. 21, 1371–1382 (2010).
[Crossref]

Phys. Med. Biol. (1)

E. Y. Sidky, J. H. Jørgensen, and X. Pan, “Convex optimization problem prototyping for image reconstruction in computed tomography with the Chambolle Pock algorithm,” Phys. Med. Biol. 57, 3065–3091 (2012).
[Crossref] [PubMed]

Radiol Clin North Am. (1)

M. A. Helvie, “Digital Mammography Imaging: Breast Tomosynthesis and Advanced Applications,” Radiol Clin North Am. 48, 917–929 (2010).
[Crossref] [PubMed]

Sci. Rep. (1)

N. Viganò, A. Tanguy, S. Hallais, A. Dimanov, and M. Bornert, “Three-dimensional full-field X-ray orientation microscopy,” Sci. Rep. 6, 1–9 (2016).
[Crossref]

Ultramicroscopy (1)

W. van Aarle, W. J. Palenstijn, J. De Beenhouwer, T. Altantzis, S. Bals, K. J. Batenburg, and J. Sijbers, “The ASTRA Toolbox: A platform for advanced algorithm development in electron tomography,” Ultramicroscopy 157, 35–47 (2015).
[Crossref] [PubMed]

Other (8)

M. Maisl, F. Porsch, and C. Schorr, “Computed Laminography for X-ray Inspection of Lightweight Constructions,” in 2nd International Symposium on NDT in Aerospace (2010), pp. 2–8.

L. B. Christensen, S. G. H. Erbou, M. Vester-Christensen, M. F. Hansen, M. Darré, M. Hviid, and E. V. Olsen, “Optimized Workflow and Validation of Carcass CT-scanning,” in 56th International Congress of Meat Science and Technology, (2010).

E. Janssens, J. De Beenhouwer, M. Van Dael, P. Verboven, B. Nicolai, and J. Sijbers, “Neural Network Based X-Ray Tomography for Fast Inspection of Apples on a Conveyor Belt,” in Proceedings of IEEE International Conference on Image Processing, (IEEE, 2015), pp. 917–921.

T. Dahmen, N. Marsalek, Lukas Marniok, B. Turonova, S. Bogachev, P. Trampert, S. Nickels, and P. Slusallek, “Ettention: building blocks for iterative reconstruction algorithms,” Proceedings of Microscopy & Microanalysis (2015).

J. Fessler, “Image Reconstruction Toolbox (IRT),” http://web.eecs.umich.edu/~fessler/code/ .

“The ASTRA Toolbox,” http://www.astra-toolbox.com .

W. van Aarle, P. Ghysels, J. Sijbers, and W. Vanroose, “Memory access optimization for iterative tomography on many-core architectures,” in Proceedings of 12th Int. Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine, (2013), pp. 364–367.

E. van den Berg and M. P. Friedlander, “Spot: a linear-operator toolbox,” http://www.cs.ubc.ca/labs/scl/spot .

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Figures (13)

Fig. 1
Fig. 1

Schematic overview of all ASTRA Toolbox concepts.

Fig. 2
Fig. 2

Two approaches to the specification of a cone-beam projection geometry.

Fig. 3
Fig. 3

In rotary computed laminography, the object is tilted such that its axis of rotation is not perpendicular to the plane defined by the X-ray source and the central row of the detector plane. This is equivalent to a setup with a fixed object where the source and detector follow a circular trajectory parallel to the z = 0 plane. (a) Side-view. Note how the rotation stage must have an opening for the X-ray beam to pass through. (b) Three-dimensional sketch of the projection geometry.

Fig. 4
Fig. 4

Simulation study of a laminographic reconstruction of a large flat object. The projection data (b) was simulated using the NVIDIA Optix raytracing toolbox.

Fig. 5
Fig. 5

In tomosynthesis, a stationary detector is placed underneath the object. The X-ray source moves on a circular trajectory above the object, creating a set of projections from a limited angle.

Fig. 6
Fig. 6

Conveyor belt geometry of an object moving on a conveyor belt with a fixed source and flat-panel detector.

Fig. 7
Fig. 7

Reconstruction of a toy in an inline scanning geometry.

Fig. 8
Fig. 8

For elongated objects, a fixed source-to-detector distance leads to suboptimal use of the detector array in some viewing directions.

Fig. 9
Fig. 9

Reconstructions of an elongated object (a piece of pencil) with a conventional and an adaptive zooming projection geometry. [10]

Fig. 10
Fig. 10

(a) A shifted and tilted detector array, seen from the point of view of the X-ray source. (b) Schematic overview of an iterative procedure to automatically estimate detector shift and tilt.

Fig. 11
Fig. 11

Automatic detector offset and tilt estimation of a dataset containing a box of candy with a highly attenuating resolution phantom.

Fig. 12
Fig. 12

Timings for 100 iterations of various implementations of the (a) SIRT and (b) CGLS reconstruction algorithm on a 100 × 100 volume. The first three bars correspond to Table 3, 4, and 5, respectively. The final two bars refer to native ASTRA implementations of the SIRT and CGLS algorithm.

Fig. 13
Fig. 13

Reconstruction times of 100 SIRT iterations as a function of the volume size (both 2D and 3D), on two distinct systems.

Tables (5)

Tables Icon

Table 1 Overview of different open source toolboxes for tomographic reconstruction.

Tables Icon

Table 2 MATLAB code demonstrating how a conventional cone beam setup can be specified by a vector-based geometry object. The variable theta represents a l × 1 vector of projection directions; SOD and ODD represent the source-to-object and object-to-detector distance respectively; detWidth and detHeight represent the size of each detector pixel; and detCol and detRows represent the number of detectors in each projection image.

Tables Icon

Table 3 MATLAB code demonstrating how to extract a projection matrix for a certain projection and volume geometry from the ASTRA toolbox, and how to use this matrix inside an external function performing a SIRT reconstruction. Due to memory constraints, this approach is feasable only for small problems.

Tables Icon

Table 4 MATLAB code demonstrating a naive approach to include ASTRA projector operators in a SIRT function.

Tables Icon

Table 5 MATLAB code demonstrating how the opTomo object is configured and simply passed on to the same SIRT-function as in Table 3.

Equations (10)

Equations on this page are rendered with MathJax. Learn more.

p : = Wv ,
v : = W T p .
S i = ( Δ s sin α sin θ i , Δ s sin α cos θ i Δ s cos α ) , D i = ( Δ d sin α sin θ i , Δ d sin α cos θ i Δ d cos α ) , U i = ( Δ t cos θ i , Δ t sin θ i , 0 ) , V i = ( Δ t cos α sin θ i , Δ t cos α cos θ i , Δ t sin α ) .
S i = ( Δ s sin θ i , 0 , Δ s cos θ i ) D i = ( 0 , 0 , Δ d ) U i = ( 1 , 0 , 0 ) V i = ( 0 , 1 , 0 )
S = ( 0 , Δ s , 0 ) , D = ( 0 , Δ d , 0 ) , U = ( Δ u , 0 , 0 ) , V = ( 0 , 0 , Δ u ) .
R i = ( cos ( ω t i ) sin ( ω t i ) 0 sin ( ω t i ) cos ( ω t i ) 0 0 0 1 ) .
S i = R i S ( A 0 + v t i ) R i U , D i = R i D ( A 0 + v t i ) R i U , U i = R i U , V i = R i V ,
S i = S i D i = D i + δ U U i + δ V V i , U i = R i , ϕ U i , V i = R i , ϕ V i .
Wv = p ,
v ( k + 1 ) = v ( k ) + CW T R ( p Wv ( k ) ) ,

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