Effect of iterative sparse-view CT reconstruction with task-specific projection angles on dimensional measurements

Beitrag bei einer Tagung
(Konferenzbeitrag)


Details zur Publikation

Autorinnen und Autoren: Butzhammer L, Hausotte T
Jahr der Veröffentlichung: 2019
Tagungsband: The e-Journal of Nondestructive Testing
ISSN: 1435-4934
Sprache: Englisch


Abstract

X-ray computed tomography based on a small number of radiographic projections (sparse-view CT) is relevant for severalapplication cases in industry, where reducing the measurement time plays a major role (e.g. for in-line CT). Because of low dataquality of sparse-view CT scans due to insufficient sampling, new concepts are needed to reduce measurement uncertainties fordimensional metrology. Iterative image reconstruction techniques provide a promising opportunity for this purpose as they arein principle able to handle limited data or noise well and give the possibility to select specific projection angles (i.e. perspectiveviews) for circular scan trajectories. In this paper, the influence of task-specific projection angles on dimensional measurementsis discussed using algebraic and statistical iterative reconstruction of simulated and experimentally obtained sparse-view scans. Itis shown that measurement deviations for specific dimensional measurands can be reduced by selecting projection angles whichare expected to have a high contribution to a good imaging of relevant geometric features.


FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Butzhammer, Lorenz
Lehrstuhl für Fertigungsmesstechnik
Hausotte, Tino Prof. Dr.-Ing.
Lehrstuhl für Fertigungsmesstechnik


Zitierweisen

APA:
Butzhammer, L., & Hausotte, T. (2019). Effect of iterative sparse-view CT reconstruction with task-specific projection angles on dimensional measurements. In The e-Journal of Nondestructive Testing. Padua, IT.

MLA:
Butzhammer, Lorenz, and Tino Hausotte. "Effect of iterative sparse-view CT reconstruction with task-specific projection angles on dimensional measurements." Proceedings of the 9th Conference on Industrial Computed Tomography (iCT) 2019, Padua 2019.

BibTeX: 

Zuletzt aktualisiert 2019-18-02 um 12:38