Hyperia: A novel methodology of developing anthropomorphic breast phantoms for X‐ray imaging modalities – Part I: Concept and initial findings

摘要

Abstract Purpose To introduce a novel methodology for developing anthropomorphic breast phantoms for use in X‐ray‐based imaging modalities. Methods “Hyperization” is a quasi‐stippling mapping operation in which regions of varying grayscale values in a 2D image are transformed into regions of varying holes on a surface. The holes can be cut or engraved on the sheet of paper using a high‐resolution laser cutter/engraver. In hyperization, the main parameters are the size and the distance between the holes. Here, we introduce the concept and chronicle the development and characterization of a proof‐of‐concept prototype. In this study, we hypothesized that a resulting “Hyperia” phantom would be a realistic representative of a patient's breast tissue: it would exhibit similar X‐ray properties and show textural complexities. We used breast computed tomography (bCT) images of real patients as the input models. Using a previously developed segmentation method, the input CT images were segmented into different tissue classes (skin, adipose, and fibroglandular). The segmented images were then “Hyperized”. A series of Monte Carlo simulations were conducted to find the optimal hyperization parameters. Different laser cutter/engraver systems and substrate materials were explored to find a viable option for developing an entire Hyperia breast phantom. The resulting phantom was imaged on a prototype breast CT system, and the resulting images were evaluated based on physical properties and similarity to the original patient data. Results The simulation results indicate close similarities – both in the distribution of different tissue types and the resulting CT numbers – between the patient bCT image and the bCT of the Hyperia phantom, regardless of the breast size and density: the Pearson correlation coefficient (ρ) ranged from 0.88 in a BIRADS A breast to 0.94 in BIRADS C and D breasts (ρ of 1.00 suggests perfect structural similarity), and the volumetric mean squared error ranged from 0.0033 (in BIRADS D breast) to 0.0059 (in BIRADS A), suggesting good agreement between the resulting CT numbers. For fabricating the slices, the office paper was found to be an optimal substrate material, with the Hyperization parameters of (α, β) = (0.200?mm, 0.400?mm). Conclusion A novel phantom can be used for X‐ray‐based breast cancer imaging systems. The main advantage is that only one material is used for creating a contrast between different tissue types in an image.