Papers
1
Total Citations
16
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1
About
Victor Bussy is a leading figure in computational imaging and non-destructive evaluation, with a core focus on industrial X-ray Computed Tomography (CT). His research centers on developing fast, intelligent algorithms that dramatically reduce the number of radiographies needed for high-quality CT scans, a critical bottleneck in mass production quality control. Bussy’s major contribution lies in pioneering the application of Empirical Interpolation Methods (EIM) to select the most informative projections for sparse-view CT reconstruction. His 2022 paper on this topic, which has garnered 16 citations, demonstrates how a priori information can guide the selection process, enabling accurate 3D inspection of critical parts with significantly fewer projections—a breakthrough for both speed and safety in industrial settings. This work bridges advanced numerical analysis with practical engineering, offering a path to faster, more efficient non-destructive testing. Bussy’s algorithms are poised to reshape dimensional conformity checks, making high-throughput CT inspection viable for demanding applications like aerospace and automotive manufacturing.
Research Focus
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Top Papers
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