Toolbox for advanced X-ray image processing

Timur E Gureyev; Y.I. Nesterets; Dimitri Ternovski; Darren A Thompson; S.W. Wilkins; Andrew W. Stevenson; a Sakellariou; John Taylor

doi:10.1117/12.893252

Toolbox for advanced X-ray image processing

Timur E Gureyev, Y.I. Nesterets, Dimitri Ternovski, Darren A Thompson, S.W. Wilkins, Andrew W. Stevenson, a Sakellariou, John Taylor

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

82 Citations (Scopus)

Abstract

A software system has been developed for high-performance Computed Tomography (CT) reconstruction, simulation and other X-ray image processing tasks utilizing remote computer clusters optionally equipped with multiple Graphics Processing Units (GPUs). The system has a streamlined Graphical User Interface for interaction with the cluster. Apart from extensive functionality related to X-ray CT in plane-wave and cone-beam forms, the software includes multiple functions for X-ray phase retrieval and simulation of phase-contrast imaging (propagation-based, analyzer crystal based and Talbot interferometry). Other features include several methods for image deconvolution, simulation of various phase-contrast microscopy modes (Zernike, Schlieren, Nomarski, dark-field, interferometry, etc.) and a large number of conventional image processing operations (such as FFT, algebraic and geometrical transformations, pixel value manipulations, simulated image noise, various filters, etc.). The architectural design of the system is described, as well as the two-level parallelization of the most computationally-intensive modules utilizing both the multiple CPU cores and multiple GPUs available in a local PC or a remote computer cluster. Finally, some results about the current system performance are presented. This system can potentially serve as a basis for a flexible toolbox for X-ray image analysis and simulation, that can efficiently utilize modern multi-processor hardware for advanced scientific computations. © 2011 SPIE.

Original language	English
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Editors	Manuel Sanchez del Rio and Oleg Chubar
Place of Publication	Washington, USA
Publisher	SPIE
Edition	Peer reviewed
ISBN (Print)	9780819487513
DOIs	https://doi.org/10.1117/12.893252
Publication status	Published - 2011
Event	Advances in Computational Methods for X-Ray Optics II - San Diego, USA, United States Duration: 1 Jan 2011 → …

Conference

Conference	Advances in Computational Methods for X-Ray Optics II
Country/Territory	United States
Period	1/01/11 → …
Other	August 21-24 2011

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10.1117/12.893252

Cite this

@inproceedings{2264c35cd2ea4f39a25dc57037dc6ad9,

title = "Toolbox for advanced X-ray image processing",

abstract = "A software system has been developed for high-performance Computed Tomography (CT) reconstruction, simulation and other X-ray image processing tasks utilizing remote computer clusters optionally equipped with multiple Graphics Processing Units (GPUs). The system has a streamlined Graphical User Interface for interaction with the cluster. Apart from extensive functionality related to X-ray CT in plane-wave and cone-beam forms, the software includes multiple functions for X-ray phase retrieval and simulation of phase-contrast imaging (propagation-based, analyzer crystal based and Talbot interferometry). Other features include several methods for image deconvolution, simulation of various phase-contrast microscopy modes (Zernike, Schlieren, Nomarski, dark-field, interferometry, etc.) and a large number of conventional image processing operations (such as FFT, algebraic and geometrical transformations, pixel value manipulations, simulated image noise, various filters, etc.). The architectural design of the system is described, as well as the two-level parallelization of the most computationally-intensive modules utilizing both the multiple CPU cores and multiple GPUs available in a local PC or a remote computer cluster. Finally, some results about the current system performance are presented. This system can potentially serve as a basis for a flexible toolbox for X-ray image analysis and simulation, that can efficiently utilize modern multi-processor hardware for advanced scientific computations. {\textcopyright} 2011 SPIE.",

author = "Gureyev, {Timur E} and Y.I. Nesterets and Dimitri Ternovski and Thompson, {Darren A} and S.W. Wilkins and Stevenson, {Andrew W.} and a Sakellariou and John Taylor",

year = "2011",

doi = "10.1117/12.893252",

language = "English",

isbn = "9780819487513",

editor = "{Manuel Sanchez del Rio and Oleg Chubar}",

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

publisher = "SPIE",

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note = "Advances in Computational Methods for X-Ray Optics II ; Conference date: 01-01-2011",

}

Gureyev, TE, Nesterets, YI, Ternovski, D, Thompson, DA, Wilkins, SW, Stevenson, AW, Sakellariou, A & Taylor, J 2011, Toolbox for advanced X-ray image processing. in MSDRAOC (ed.), Proceedings of SPIE - The International Society for Optical Engineering. Peer reviewed edn, SPIE, Washington, USA, Advances in Computational Methods for X-Ray Optics II, United States, 1/01/11. https://doi.org/10.1117/12.893252

Toolbox for advanced X-ray image processing. / Gureyev, Timur E; Nesterets, Y.I.; Ternovski, Dimitri et al.
Proceedings of SPIE - The International Society for Optical Engineering. ed. / Manuel Sanchez del Rio and Oleg Chubar. Peer reviewed. ed. Washington, USA: SPIE, 2011.

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

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AU - Gureyev, Timur E

AU - Nesterets, Y.I.

AU - Ternovski, Dimitri

AU - Thompson, Darren A

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AU - Stevenson, Andrew W.

AU - Sakellariou, a

AU - Taylor, John

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N2 - A software system has been developed for high-performance Computed Tomography (CT) reconstruction, simulation and other X-ray image processing tasks utilizing remote computer clusters optionally equipped with multiple Graphics Processing Units (GPUs). The system has a streamlined Graphical User Interface for interaction with the cluster. Apart from extensive functionality related to X-ray CT in plane-wave and cone-beam forms, the software includes multiple functions for X-ray phase retrieval and simulation of phase-contrast imaging (propagation-based, analyzer crystal based and Talbot interferometry). Other features include several methods for image deconvolution, simulation of various phase-contrast microscopy modes (Zernike, Schlieren, Nomarski, dark-field, interferometry, etc.) and a large number of conventional image processing operations (such as FFT, algebraic and geometrical transformations, pixel value manipulations, simulated image noise, various filters, etc.). The architectural design of the system is described, as well as the two-level parallelization of the most computationally-intensive modules utilizing both the multiple CPU cores and multiple GPUs available in a local PC or a remote computer cluster. Finally, some results about the current system performance are presented. This system can potentially serve as a basis for a flexible toolbox for X-ray image analysis and simulation, that can efficiently utilize modern multi-processor hardware for advanced scientific computations. © 2011 SPIE.

AB - A software system has been developed for high-performance Computed Tomography (CT) reconstruction, simulation and other X-ray image processing tasks utilizing remote computer clusters optionally equipped with multiple Graphics Processing Units (GPUs). The system has a streamlined Graphical User Interface for interaction with the cluster. Apart from extensive functionality related to X-ray CT in plane-wave and cone-beam forms, the software includes multiple functions for X-ray phase retrieval and simulation of phase-contrast imaging (propagation-based, analyzer crystal based and Talbot interferometry). Other features include several methods for image deconvolution, simulation of various phase-contrast microscopy modes (Zernike, Schlieren, Nomarski, dark-field, interferometry, etc.) and a large number of conventional image processing operations (such as FFT, algebraic and geometrical transformations, pixel value manipulations, simulated image noise, various filters, etc.). The architectural design of the system is described, as well as the two-level parallelization of the most computationally-intensive modules utilizing both the multiple CPU cores and multiple GPUs available in a local PC or a remote computer cluster. Finally, some results about the current system performance are presented. This system can potentially serve as a basis for a flexible toolbox for X-ray image analysis and simulation, that can efficiently utilize modern multi-processor hardware for advanced scientific computations. © 2011 SPIE.

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M3 - Conference contribution

SN - 9780819487513

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

A2 - null, Manuel Sanchez del Rio and Oleg Chubar

PB - SPIE

CY - Washington, USA

T2 - Advances in Computational Methods for X-Ray Optics II

Y2 - 1 January 2011

ER -

Toolbox for advanced X-ray image processing

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