Design, Fabrication, and Evaluation of a Patient-Derived 3D-Printed Anthropomorphic Breast Phantom for Performance Evaluation of Dual-Energy Subtraction in Contrast-Enhanced Mammography

An anthropomorphic patient-derived 3D-printed breast phantom (4.8 cm compressed thickness, 12.2% volumetric breast density) was evaluated for image-quality assessment in contrast-enhanced mammography (CEM). It comprises four 1.2 cm plates printed via fused filament fabrication (PLA/ABS). Five replicates of one of the plates (target) containing a glandular-tissue surrogate and four cavities for iodinated disks with same iodine area density per plate (0.2–0.5–0.75–1.0–1.5 mg/cm2) were fabricated. As a reference, a homogeneous PET-G phantom was printed. CEM images (low-energy (LE), high-energy (HE), and DES) were acquired in three different systems. Iodine signal linearity (mean pixel value, signal difference, signal-difference-to-noise ratio (SdNR)) and background cancellation (residual signals, texture cancellation coefficient (TCC), parameter β from noise power spectrum (1D-NPS)) were estimated. Evaluation across the three systems demonstrated the phantom provides appropriate measurements of iodine signal linearity (R2 > 0.986, based on mean values across the four inserts) and background cancellation (TCC:0.04–0.11). Fitting 1D-NPS = αf−β within 0.25–1.0 mm−1 yielded β values ≈ 3.1–4.0, compatible with the literature, for patient LE and HE images, whereas DES reduced β to ≈1.1. In the homogeneous phantom, β remained invariant between LE and DES images (β ≈ 0.6). The local glandular ratio at each position of the iodinated disks enabled evaluating the impact of background on iodine signal.

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Journal
Technologies
Published
2026-09-07
DOI
https://doi.org/10.3390/technologies14090555
Primary Topic
Digital Radiography and Breast Imaging
Type
article
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article

Design, Fabrication, and Evaluation of a Patient-Derived 3D-Printed Anthropomorphic Breast Phantom for Performance Evaluation of Dual-Energy Subtraction in Contrast-Enhanced Mammography

Peter Homolka, D. García-Pinto, Margarita Chevalier, Adrián Belarra et al.
Technologies
Digital Radiography and Breast Imaging
article

Design, Fabrication, and Evaluation of a Patient-Derived 3D-Printed Anthropomorphic Breast Phantom for Performance Evaluation of Dual-Energy Subtraction in Contrast-Enhanced Mammography

Peter Homolka, D. García-Pinto, Margarita Chevalier, Adrián Belarra, Irene Hernandez-Giron
article en

Abstract

An anthropomorphic patient-derived 3D-printed breast phantom (4.8 cm compressed thickness, 12.2% volumetric breast density) was evaluated for image-quality assessment in contrast-enhanced mammography (CEM). It comprises four 1.2 cm plates printed via fused filament fabrication (PLA/ABS). Five replicates of one of the plates (target) containing a glandular-tissue surrogate and four cavities for iodinated disks with same iodine area density per plate (0.2–0.5–0.75–1.0–1.5 mg/cm2) were fabricated. As a reference, a homogeneous PET-G phantom was printed. CEM images (low-energy (LE), high-energy (HE), and DES) were acquired in three different systems. Iodine signal linearity (mean pixel value, signal difference, signal-difference-to-noise ratio (SdNR)) and background cancellation (residual signals, texture cancellation coefficient (TCC), parameter β from noise power spectrum (1D-NPS)) were estimated. Evaluation across the three systems demonstrated the phantom provides appropriate measurements of iodine signal linearity (R2 > 0.986, based on mean values across the four inserts) and background cancellation (TCC:0.04–0.11). Fitting 1D-NPS = αf−β within 0.25–1.0 mm−1 yielded β values ≈ 3.1–4.0, compatible with the literature, for patient LE and HE images, whereas DES reduced β to ≈1.1. In the homogeneous phantom, β remained invariant between LE and DES images (β ≈ 0.6). The local glandular ratio at each position of the iodinated disks enabled evaluating the impact of background on iodine signal.

TechnologiesVol. 14(9)
University College Dublin (IE), Universidad Complutense de Madrid (ES), Medical University of Vienna (AT)
Ministerio de Ciencia e Innovación
Affordable and clean energy
Openalex Percentile: Top 12%
Digital Radiography and Breast Imaging
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