A Framework for the AI-based visualization and analysis of massive amounts of 4D tomography data for end users of beamlines

A Framework for the AI-based visualization and analysis of massive amounts of 4D tomography data for end users of beamlines

 The size of 4D tomography datasets acquired at synchrotron or neutron imaging facilities can reach several terabytes, which presents a significant challenge for their evaluation. This paper presents a framework that allows a compressed dataset to be kept in memory and makes it possible to evaluate...

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Main Authors: Steffen Kieß, Thomas Lang, Tomas Sauer, Andreas Michael Stock, Andrey Chernov, Yipeng Sun, Andreas K. Maier, Tomáš Faragó, Alexey Ershov, Gabriel Lefloch, Guilherme Silva, Tilo Baumbach, Simon Zabler, Astrid Hölzing, Kilian Dremel, Ali Riza Durmaz, Akhil Thomas, Ingo Manke, Nikolay Kardjilov, Tobias Arlt, Tak Ming Wong, Regine Willumeit-römer, Julian Moosmann, Berit Zeller-Plumhoff, Dieter Froning, Sven Simon
Format: Article
Language:deu
Published: NDT.net 2025-02-01
Series:e-Journal of Nondestructive Testing
Online Access:https://www.ndt.net/search/docs.php3?id=30717
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