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<p>Characterizing porous metals requires reliable 3D reconstruction. We compare X-ray computed tomography (XCT) and serial sectioning using a virtual ground truth from segmented XCT data. A GPU-based virtual XCT pipeline simulates imaging artifacts, serial sectioning is modeled via extracted topographies and simulated annealing reconstruction. XCT achieves over 98% accuracy but remains sensitive to segmentation thresholding. Serial sectioning captures visible surfaces precisely but cannot measure occluded regions, yielding lower reconstruction accuracy of 91%. Given these complementary strengths, we propose a hybrid approach where CLSM-derived porosity measurements inform XCT threshold selection, grounding this critical parameter in measured sample properties rather than image statistics alone.</p>

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Towards the measurement of porous materials: a comparison between computed X-ray tomography and serial sectioning

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年1月19日

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  • Lenarde-Oliver Friedrich,
  • Johannes Stegmann,
  • Oumaima Guissem,
  • Lennart Hinz,
  • Jannes Mevert,
  • Christian Klose,
  • Hans Jürgen Maier,
  • Jörg Seewig

摘要

Characterizing porous metals requires reliable 3D reconstruction. We compare X-ray computed tomography (XCT) and serial sectioning using a virtual ground truth from segmented XCT data. A GPU-based virtual XCT pipeline simulates imaging artifacts, serial sectioning is modeled via extracted topographies and simulated annealing reconstruction. XCT achieves over 98% accuracy but remains sensitive to segmentation thresholding. Serial sectioning captures visible surfaces precisely but cannot measure occluded regions, yielding lower reconstruction accuracy of 91%. Given these complementary strengths, we propose a hybrid approach where CLSM-derived porosity measurements inform XCT threshold selection, grounding this critical parameter in measured sample properties rather than image statistics alone.