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Updated: Feb 24, 2026

3D Printing of Preclinical X-ray Computed Tomographic Data Sets
Published on: March 22, 2013
Experimental determination of effective X-ray attenuation coefficients of 3D-printed materials under clinical
Adrián Belarra1, Irene Hernández-Girón2, Julia Garayoa3
1Medical Physics, Radiology and Rehabilitation Department, Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain.
Background:
3D printing enables the fabrication of customized breast phantoms for image quality assessment in digital mammography (DM) and digital breast tomosynthesis (DBT). A major challenge is the absence of standardized, accessible methods to characterize the attenuation properties of 3D-printed materials under clinical DM/DBT spectra.
Methods:
An experimental framework was implemented to determine the effective X-ray attenuation coefficient (μ eff ) of six 3D-printed polymers (PLA, PET, resin, ABS, ABS+, HIPS) and reference breast tissue-equivalent materials (CIRS plates simulating different breast glandular/adipose ratios (BR) and PMMA) using two commercial DM/DBT systems, with and without anti-scatter grid. Step-wedges (0.5-5.5 cm) were imaged across multiple kVp and filter settings. The μ eff were obtained from measurements on images and fitted to an empirical model yielding μ 0 (attenuation at thickness tending to zero) and k (decay rate) to characterize beam hardening and scatter influences. 3D-reference material equivalences were evaluated based on μ eff and μ 0 .
Results:
Beam hardening and scatter reduced μ eff with thickness, by 6%-14% with grid and 12%-28% without grid, with scatter contributing 47%-76% of the reduction in no-grid acquisitions. No significant differences were observed between the two mammography systems. Based on μ eff values, attenuation equivalences (within ±6%) were identified between 3D-printed and reference breast tissue-equivalent materials: PLA with BR 100/0; PET and resin with BR 70/30 and PMMA; ABS+ with BR 30/70 and BR 50/50. ABS and HIPS showed larger mismatches. The empirical model achieved excellent fits (R2 > 0.99), with μ 0 values preserving attenuation ranking and enabling derivation of equivalent glandular proportions.
Conclusion:
This framework demonstrates that routine clinical mammography systems can be used directly, without specialized instrumentation, to characterize 3D-printed materials as tissue surrogates. Several low-cost, widely available polymers were shown to reproduce breast tissue attenuation, supporting the local fabrication of anthropomorphic breast phantoms for realistic and clinically relevant image quality evaluation.
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