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 proceedingsConference 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 contributionImprovement of X-Ray image acquisition using a GPU based 3DCT simulation tool
Original languageGerman
Title of host publicationProccedings of 8th International Conference for Quality Control by Artificial Vision
Publication statusPublished - 2009
EventQCAV'09 - Wels, Austria
Duration: 27 May 200929 May 2009
http://www.qcav.org

Conference

ConferenceQCAV'09
CountryAustria
CityWels
Period27.05.200929.05.2009
Internet address

Fingerprint Dive into the research topics of 'Improvement of X-Ray image acquisition using a GPU based 3DCT simulation tool'. Together they form a unique fingerprint.

Cite this