Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 34 |
| Fachzeitschrift | Production Engineering |
| Jahrgang | 20 |
| Ausgabenummer | 1 |
| Publikationsstatus | Veröffentlicht - 19 Jan. 2026 |
Abstract
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.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Maschinenbau
- Ingenieurwesen (insg.)
- Wirtschaftsingenieurwesen und Fertigungstechnik
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in: Production Engineering, Jahrgang 20, Nr. 1, 34, 19.01.2026.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Towards the measurement of porous materials
T2 - a comparison between computed X-ray tomography and serial sectioning
AU - Friedrich, Lenarde Oliver
AU - Stegmann, Johannes
AU - Guissem, Oumaima
AU - Hinz, Lennart
AU - Mevert, Jannes
AU - Klose, Christian
AU - Maier, Hans Jürgen
AU - Seewig, Jörg
N1 - Publisher Copyright: © The Author(s) 2025.
PY - 2026/1/19
Y1 - 2026/1/19
N2 - 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.
AB - 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.
KW - Nondestructive testing
KW - Porous material
KW - Serial sectioning
KW - Simulated annealing
KW - Volumetric reconstruction
KW - X-Ray computed tomography
UR - http://www.scopus.com/inward/record.url?scp=105027865083&partnerID=8YFLogxK
U2 - 10.1007/s11740-025-01408-0
DO - 10.1007/s11740-025-01408-0
M3 - Article
AN - SCOPUS:105027865083
VL - 20
JO - Production Engineering
JF - Production Engineering
SN - 0944-6524
IS - 1
M1 - 34
ER -