Simulation-Based Planning of Optimal Conditions for Industrial Computed Tomography

S. Reisinger; S. Kasperl; M. Franz; Jochen Hiller; U. Schmid

Simulation-Based Planning of Optimal Conditions for Industrial Computed Tomography

S. Reisinger
, S. Kasperl
, M. Franz
, Jochen Hiller
, U. Schmid

Fraunhofer-Gesellschaft
University of Bamberg

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

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Abstract

We present a method to optimise conditions for industrial computed tomography (CT). This optimisation is based on a deterministic simulation. Our algorithm finds task-specific CT equipment settings to achieve optimal exposure parameters by means of an STL-model of the specimen and a raytracing method. These parameters are positioning and orientation of the specimen, X-ray tube voltage and prefilter thickness.

Original language	English
Title of host publication	International Symposium on Digital Industrial Radiology and Computed Tomography
Volume	MO.3.1
Publication date	2011
Publication status	Published - 2011
Event	International Symposium on Digital Industrial Radiology and Computed Tomography 2011 - Berlin, Germany Duration: 20 Jun 2011 → 22 Jun 2011

Conference

Conference	International Symposium on Digital Industrial Radiology and Computed Tomography 2011
Country/Territory	Germany
City	Berlin
Period	20/06/2011 → 22/06/2011

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Licence: http://creativecommons.org/licenses/by-nd/3.0

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http://www.dir2011.com/

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@inproceedings{38ef21b2666f4563a7b939acd43659e8,

title = "Simulation-Based Planning of Optimal Conditions for Industrial Computed Tomography",

abstract = "We present a method to optimise conditions for industrial computed tomography (CT). This optimisation is based on a deterministic simulation. Our algorithm finds task-specific CT equipment settings to achieve optimal exposure parameters by means of an STL-model of the specimen and a raytracing method. These parameters are positioning and orientation of the specimen, X-ray tube voltage and prefilter thickness.",

author = "S. Reisinger and S. Kasperl and M. Franz and Jochen Hiller and U. Schmid",

note = "Licence: http://creativecommons.org/licenses/by-nd/3.0; International Symposium on Digital Industrial Radiology and Computed Tomography 2011 ; Conference date: 20-06-2011 Through 22-06-2011",

year = "2011",

language = "English",

volume = "MO.3.1",

booktitle = "International Symposium on Digital Industrial Radiology and Computed Tomography",

}

Reisinger, S, Kasperl, S, Franz, M, Hiller, J & Schmid, U 2011, Simulation-Based Planning of Optimal Conditions for Industrial Computed Tomography. in International Symposium on Digital Industrial Radiology and Computed Tomography. vol. MO.3.1, International Symposium on Digital Industrial Radiology and Computed Tomography 2011, Berlin, Germany, 20/06/2011. <http://www.dir2011.com/>

TY - GEN

T1 - Simulation-Based Planning of Optimal Conditions for Industrial Computed Tomography

AU - Reisinger, S.

AU - Kasperl, S.

AU - Franz, M.

AU - Hiller, Jochen

AU - Schmid, U.

N1 - Licence: http://creativecommons.org/licenses/by-nd/3.0

PY - 2011

Y1 - 2011

N2 - We present a method to optimise conditions for industrial computed tomography (CT). This optimisation is based on a deterministic simulation. Our algorithm finds task-specific CT equipment settings to achieve optimal exposure parameters by means of an STL-model of the specimen and a raytracing method. These parameters are positioning and orientation of the specimen, X-ray tube voltage and prefilter thickness.

AB - We present a method to optimise conditions for industrial computed tomography (CT). This optimisation is based on a deterministic simulation. Our algorithm finds task-specific CT equipment settings to achieve optimal exposure parameters by means of an STL-model of the specimen and a raytracing method. These parameters are positioning and orientation of the specimen, X-ray tube voltage and prefilter thickness.

M3 - Article in proceedings

VL - MO.3.1

BT - International Symposium on Digital Industrial Radiology and Computed Tomography

T2 - International Symposium on Digital Industrial Radiology and Computed Tomography 2011

Y2 - 20 June 2011 through 22 June 2011

ER -

Simulation-Based Planning of Optimal Conditions for Industrial Computed Tomography

Abstract

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