Detail publikace

Flexible Generation of Prior Images for Metal Artifact Reduction in Industrial Computed Tomography

ZEMEK, M. ŠALPLACHTA, J. ZIKMUND, T. KAISER, J.

Originální název

Flexible Generation of Prior Images for Metal Artifact Reduction in Industrial Computed Tomography

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

In computed tomography, artifacts caused by metal objects pose a major challenge, as they severely degrade the final image. Reduction of these artifacts is a topic of ongoing research, and many possible approaches have been developed so far. Among these, projection completion methods are effective and reasonably simple to implement compared to others. The most effective of these methods require a prior image, a synthetic, artifact-free representation of the data. This prior is used to recover data obscured by the metals and thus reduce the presence of potential secondary artifacts, but it may not be trivial to obtain especially in industrial computed tomography, where sample variability tends to be high. Traditional methods of prior generation are often based on multi-segmentation of a preliminary tomographic slice, which requires substantial a-priori knowledge about the scanned sample, its morphology, and the materials it is made of. This is a major limit for applications where such information is not readily available. Initial results for a more flexible method of prior image generation based on sinogram decomposition are presented here. The goal of this method is to decrease the need to fine-tune parameters for different samples and make it possible to use existing advanced metal artifact reduction methods in new fields.

Klíčová slova

computed tomography, normalized metal artifact reduction, prior generation, sinogram decomposition

Autoři

ZEMEK, M.; ŠALPLACHTA, J.; ZIKMUND, T.; KAISER, J.

Vydáno

8. 2. 2022

Nakladatel

NDT.net

Místo

Wels

Strany od

1

Strany do

7

Strany počet

7

URL

https://www.ndt.net/article/ctc2022/papers/ICT2022_paper_id255.pdf

BibTex

@inproceedings{BUT176746,
  author="Marek {Zemek} and Jakub {Šalplachta} and Tomáš {Zikmund} and Jozef {Kaiser}",
  title="Flexible Generation of Prior Images for Metal Artifact Reduction in Industrial Computed Tomography",
  booktitle="11th Conference on Industrial Computed Tomography (iCT) 2022, 8-11 Feb, Wels, Austria",
  year="2022",
  pages="1--7",
  publisher="NDT.net",
  address="Wels",
  url="https://www.ndt.net/article/ctc2022/papers/ICT2022_paper_id255.pdf"
}