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The IIAP recently hosted a significant meeting, focusing on advancing the speed and reconstruction performance of X-ray computed tomography (CT) for materials.
The IIAP recently hosted a significant meeting on February 9, 2024, focusing on advancing the speed and reconstruction performance of X-ray computed tomography (CT) for materials. The discussion centered around the "Enhancing scan speed and reconstruction performance for X-ray computed tomography of materials using new mathematical models and AI-based methods for 3D image processing" (TOMOMATH) project.
Eminent scholars and experts, including Prof. Dr. Ehrenfried Zschech from Brandenburg University of Technology Cottbus-Senftenberg and Dr. Konstantin Bulatov from AI Service LLC, spearheaded the discussion. The meeting witnessed active participation from Aslanyan, H. Sahakyan, and V. Sahakyan, who contributed valuable insights to the discourse. The session delved into innovative mathematical models and AI-driven methodologies, aimed at revolutionizing the field of 3D image processing and CT technology.
This is a step towards harnessing cutting-edge technology to enhance the efficiency and precision of X-ray CT, thereby opening new avenues for material analysis and research.
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