TY - JOUR
T1 - Immersive Inspection
T2 - Intuitive Material Analysis using X-Ray Computed Tomography Data in AR
AU - Gall, Alexander
AU - Heim, Anja
AU - Weinberger, Patrick
AU - Fröhler, Bernhard
AU - Kastner, Johann
AU - Heinzl, Christoph
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/9
Y1 - 2025/9
N2 - Material analyses based on X-ray computed tomography (XCT) imaging are typically conducted away from scanning facilities, in separate office environments on 2D displays. This separation hinders on-site analysis, and due to the lack of spatial representation, limits the effective exploration of the material structure. We present a novel augmented reality (AR) framework enabling in-situ visualization of non-destructive testing (NDT) data spatially registered with real specimens. Our approach facilitates comprehensive exploration of primary and secondary XCT data, enabling researchers to inspect material properties onsite and in-place. Coupling immersive visualization techniques with real physical objects allows for highly intuitive workflows in material analysis and inspection, which enables the identification of anomalies and accelerates informed decision making. The AR framework offers automatic material recognition, hands-free workflows and embodied interaction with physical samples, generating an engaging analytical experience. A case study on fiber-reinforced polymer datasets was used to validate the AR framework and its new workflow. Expert evaluations revealed significant improvements in spatial data comprehension and more natural interaction compared to conventional analysis systems. This study demonstrates the potential of immersive AR technologies to enhance industrial materials analysis, providing preliminary insights for integrating such immersive approaches.
AB - Material analyses based on X-ray computed tomography (XCT) imaging are typically conducted away from scanning facilities, in separate office environments on 2D displays. This separation hinders on-site analysis, and due to the lack of spatial representation, limits the effective exploration of the material structure. We present a novel augmented reality (AR) framework enabling in-situ visualization of non-destructive testing (NDT) data spatially registered with real specimens. Our approach facilitates comprehensive exploration of primary and secondary XCT data, enabling researchers to inspect material properties onsite and in-place. Coupling immersive visualization techniques with real physical objects allows for highly intuitive workflows in material analysis and inspection, which enables the identification of anomalies and accelerates informed decision making. The AR framework offers automatic material recognition, hands-free workflows and embodied interaction with physical samples, generating an engaging analytical experience. A case study on fiber-reinforced polymer datasets was used to validate the AR framework and its new workflow. Expert evaluations revealed significant improvements in spatial data comprehension and more natural interaction compared to conventional analysis systems. This study demonstrates the potential of immersive AR technologies to enhance industrial materials analysis, providing preliminary insights for integrating such immersive approaches.
KW - Augmented reality
KW - Immersive analytics
KW - Materials science
KW - Non-destructive testing
KW - Situated visual representations
KW - X-Ray computed tomography
UR - https://www.scopus.com/pages/publications/105008773177
U2 - 10.1007/s10921-025-01220-x
DO - 10.1007/s10921-025-01220-x
M3 - Article
AN - SCOPUS:105008773177
SN - 0195-9298
VL - 44
JO - Journal of Nondestructive Evaluation
JF - Journal of Nondestructive Evaluation
IS - 3
M1 - 79
ER -