Rapidly converging multigrid reconstruction of cone-beam tomographic data

Glenn R. Myers; Andrew M. Kingston; Shane J. Latham; Benoit Recur; Thomas Li; Michael L. Turner; Levi Beeching; Adrian P. Sheppard

doi:10.1117/12.2238267

Rapidly converging multigrid reconstruction of cone-beam tomographic data

Glenn R. Myers^*, Andrew M. Kingston, Shane J. Latham, Benoit Recur, Thomas Li, Michael L. Turner, Levi Beeching, Adrian P. Sheppard

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

19 Citations (Scopus)

Abstract

In the context of large-angle cone-beam tomography (CBCT), we present a practical iterative reconstruction (IR) scheme designed for rapid convergence as required for large datasets. The robustness of the reconstruction is provided by the "space-filling" source trajectory along which the experimental data is collected. The speed of convergence is achieved by leveraging the highly isotropic nature of this trajectory to design an approximate deconvolution filter that serves as a pre-conditioner in a multi-grid scheme. We demonstrate this IR scheme for CBCT and compare convergence to that of more traditional techniques.

Original language	English
Title of host publication	Developments in X-Ray Tomography X
Editors	Ge Wang, Stuart R. Stock, Bert Muller
Publisher	SPIE
ISBN (Electronic)	9781510603257
DOIs	https://doi.org/10.1117/12.2238267
Publication status	Published - 2016
Event	Developments in X-Ray Tomography X - San Diego, United States Duration: 29 Aug 2016 → 31 Aug 2016

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	9967
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Developments in X-Ray Tomography X
Country/Territory	United States
City	San Diego
Period	29/08/16 → 31/08/16

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10.1117/12.2238267

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Myers, G. R., Kingston, A. M., Latham, S. J., Recur, B., Li, T., Turner, M. L., Beeching, L., & Sheppard, A. P. (2016). Rapidly converging multigrid reconstruction of cone-beam tomographic data. In G. Wang, S. R. Stock, & B. Muller (Eds.), Developments in X-Ray Tomography X Article 99671M (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9967). SPIE. https://doi.org/10.1117/12.2238267

@inproceedings{125fa0b21d664944813e39b7189ca9f8,

title = "Rapidly converging multigrid reconstruction of cone-beam tomographic data",

abstract = "In the context of large-angle cone-beam tomography (CBCT), we present a practical iterative reconstruction (IR) scheme designed for rapid convergence as required for large datasets. The robustness of the reconstruction is provided by the {"}space-filling{"} source trajectory along which the experimental data is collected. The speed of convergence is achieved by leveraging the highly isotropic nature of this trajectory to design an approximate deconvolution filter that serves as a pre-conditioner in a multi-grid scheme. We demonstrate this IR scheme for CBCT and compare convergence to that of more traditional techniques.",

keywords = "Computed tomography, Iterative tomographic reconstruction, Multigrid, Space-filling trajectory, X-ray",

author = "Myers, {Glenn R.} and Kingston, {Andrew M.} and Latham, {Shane J.} and Benoit Recur and Thomas Li and Turner, {Michael L.} and Levi Beeching and Sheppard, {Adrian P.}",

year = "2016",

doi = "10.1117/12.2238267",

language = "English",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

editor = "Ge Wang and Stock, {Stuart R.} and Bert Muller",

booktitle = "Developments in X-Ray Tomography X",

address = "United States",

}

Myers, GR , Kingston, AM , Latham, SJ, Recur, B, Li, T, Turner, ML, Beeching, L & Sheppard, AP 2016, Rapidly converging multigrid reconstruction of cone-beam tomographic data. in G Wang, SR Stock & B Muller (eds), Developments in X-Ray Tomography X., 99671M, Proceedings of SPIE - The International Society for Optical Engineering, vol. 9967, SPIE, Developments in X-Ray Tomography X, San Diego, United States, 29/08/16. https://doi.org/10.1117/12.2238267

Rapidly converging multigrid reconstruction of cone-beam tomographic data. / Myers, Glenn R.; Kingston, Andrew M.; Latham, Shane J. et al.
Developments in X-Ray Tomography X. ed. / Ge Wang; Stuart R. Stock; Bert Muller. SPIE, 2016. 99671M (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9967).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Rapidly converging multigrid reconstruction of cone-beam tomographic data

AU - Myers, Glenn R.

AU - Kingston, Andrew M.

AU - Latham, Shane J.

AU - Recur, Benoit

AU - Li, Thomas

AU - Turner, Michael L.

AU - Beeching, Levi

AU - Sheppard, Adrian P.

PY - 2016

Y1 - 2016

N2 - In the context of large-angle cone-beam tomography (CBCT), we present a practical iterative reconstruction (IR) scheme designed for rapid convergence as required for large datasets. The robustness of the reconstruction is provided by the "space-filling" source trajectory along which the experimental data is collected. The speed of convergence is achieved by leveraging the highly isotropic nature of this trajectory to design an approximate deconvolution filter that serves as a pre-conditioner in a multi-grid scheme. We demonstrate this IR scheme for CBCT and compare convergence to that of more traditional techniques.

AB - In the context of large-angle cone-beam tomography (CBCT), we present a practical iterative reconstruction (IR) scheme designed for rapid convergence as required for large datasets. The robustness of the reconstruction is provided by the "space-filling" source trajectory along which the experimental data is collected. The speed of convergence is achieved by leveraging the highly isotropic nature of this trajectory to design an approximate deconvolution filter that serves as a pre-conditioner in a multi-grid scheme. We demonstrate this IR scheme for CBCT and compare convergence to that of more traditional techniques.

KW - Computed tomography

KW - Iterative tomographic reconstruction

KW - Multigrid

KW - Space-filling trajectory

KW - X-ray

UR - http://www.scopus.com/inward/record.url?scp=85007045335&partnerID=8YFLogxK

U2 - 10.1117/12.2238267

DO - 10.1117/12.2238267

M3 - Conference contribution

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Developments in X-Ray Tomography X

A2 - Wang, Ge

A2 - Stock, Stuart R.

A2 - Muller, Bert

PB - SPIE

T2 - Developments in X-Ray Tomography X

Y2 - 29 August 2016 through 31 August 2016

ER -

Rapidly converging multigrid reconstruction of cone-beam tomographic data

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