Improvement of X-Ray image acquisition using a GPU based 3DCT simulation tool

Michael Reiter; Muddassir Muhammad Malik; Christoph Heinzl; Dietmar Salaberger; Eduard Gröller; Hubert Lettenbauer; Johann Kastner

Improvement of X-Ray image acquisition using a GPU based 3DCT simulation tool

Translated title of the contribution: Improvement of X-Ray image acquisition using a GPU based 3DCT simulation tool

Michael Reiter, Muddassir Muhammad Malik, Christoph Heinzl, Dietmar Salaberger, Eduard Gröller, Hubert Lettenbauer, Johann Kastner

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution

Abstract

This paper presents a simulation tool for industrial X-Ray computed tomography (CT) systems which is able to predict the results of real measurements. Such a prediction helps the technician in measurement technology to minimize artefacts by using optimal measurement parameters and therefore it helps to get more accurate results. The presented simulation software offers an implementation for CPU’s and GPU’s. The performance difference between these implementa-tions is shown, for a specific test part. Furthermore a parameter variation has been carried out, to illustrate the influence of the acquisition settings. We use a multi-image view tool to compare and evaluate the acquired dataset series which contains CT data gained with different X-Ray source voltages and a different number of projections.

Translated title of the contribution	Improvement of X-Ray image acquisition using a GPU based 3DCT simulation tool
Original language	German
Title of host publication	Proccedings of 8th International Conference for Quality Control by Artificial Vision
Publication status	Published - 2009
Event	QCAV'09 - Wels, Austria Duration: 27 May 2009 → 29 May 2009 http://www.qcav.org

Conference

Conference	QCAV'09
Country/Territory	Austria
City	Wels
Period	27.05.2009 → 29.05.2009
Internet address	http://www.qcav.org

Cite this

@inproceedings{a0912215f9ea43ce8decb449c41da13b,

title = "Improvement of X-Ray image acquisition using a GPU based 3DCT simulation tool",

abstract = "This paper presents a simulation tool for industrial X-Ray computed tomography (CT) systems which is able to predict the results of real measurements. Such a prediction helps the technician in measurement technology to minimize artefacts by using optimal measurement parameters and therefore it helps to get more accurate results. The presented simulation software offers an implementation for CPU{\textquoteright}s and GPU{\textquoteright}s. The performance difference between these implementa-tions is shown, for a specific test part. Furthermore a parameter variation has been carried out, to illustrate the influence of the acquisition settings. We use a multi-image view tool to compare and evaluate the acquired dataset series which contains CT data gained with different X-Ray source voltages and a different number of projections.",

author = "Michael Reiter and Malik, {Muddassir Muhammad} and Christoph Heinzl and Dietmar Salaberger and Eduard Gr{\"o}ller and Hubert Lettenbauer and Johann Kastner",

year = "2009",

language = "Deutsch",

booktitle = "Proccedings of 8th International Conference for Quality Control by Artificial Vision",

note = "QCAV'09 ; Conference date: 27-05-2009 Through 29-05-2009",

url = "http://www.qcav.org",

}

TY - GEN

T1 - Improvement of X-Ray image acquisition using a GPU based 3DCT simulation tool

AU - Reiter, Michael

AU - Malik, Muddassir Muhammad

AU - Heinzl, Christoph

AU - Salaberger, Dietmar

AU - Gröller, Eduard

AU - Lettenbauer, Hubert

AU - Kastner, Johann

PY - 2009

Y1 - 2009

N2 - This paper presents a simulation tool for industrial X-Ray computed tomography (CT) systems which is able to predict the results of real measurements. Such a prediction helps the technician in measurement technology to minimize artefacts by using optimal measurement parameters and therefore it helps to get more accurate results. The presented simulation software offers an implementation for CPU’s and GPU’s. The performance difference between these implementa-tions is shown, for a specific test part. Furthermore a parameter variation has been carried out, to illustrate the influence of the acquisition settings. We use a multi-image view tool to compare and evaluate the acquired dataset series which contains CT data gained with different X-Ray source voltages and a different number of projections.

AB - This paper presents a simulation tool for industrial X-Ray computed tomography (CT) systems which is able to predict the results of real measurements. Such a prediction helps the technician in measurement technology to minimize artefacts by using optimal measurement parameters and therefore it helps to get more accurate results. The presented simulation software offers an implementation for CPU’s and GPU’s. The performance difference between these implementa-tions is shown, for a specific test part. Furthermore a parameter variation has been carried out, to illustrate the influence of the acquisition settings. We use a multi-image view tool to compare and evaluate the acquired dataset series which contains CT data gained with different X-Ray source voltages and a different number of projections.

M3 - Konferenzbeitrag

BT - Proccedings of 8th International Conference for Quality Control by Artificial Vision

T2 - QCAV'09

Y2 - 27 May 2009 through 29 May 2009

ER -

Improvement of X-Ray image acquisition using a GPU based 3DCT simulation tool

Abstract

Conference

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