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Polylactic Acid (PLA) is a biodegradable thermoplastic polymer, commonly used with low-cost fused filament fabrication (FFF) 3D printers. Amongst the many biomedical applications of PLA, is the use in the Radiology field, where it is exploited for preparing physical phantoms. The aim of this study is to investigate the influence of 3D printing patterns on the Hounsfield Units (HU) of Computed Tomography (CT) scanned samples. For this study, we fabricated samples with two different infill patterns—cubic subdivision and quarter cubic—across a range of infill densities (10% to 100%). The samples were scanned at a CT facility using three different kV settings. Regions of interest (ROIs) were selected from the CT images of the scanned samples, and the corresponding HU were measured. The results demonstrated that both infill pattern and density significantly influence the HU values. Both patterns were found to be suited for representing lung tissue, while the Quarter Cubic pattern was appropriate for replicating the radiological properties of adipose tissue, as well. The kV settings had a slight effect on the HU measurements. These findings will be applied to the development of anthropomorphic phantoms for radiological applications.

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Influence of the 3D Printing Infill, Pattern and CT kV on the Hounsfield Units for Biomedical Applications

  • 会议论文

  • 发表日期：

    2025年

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  • Nikolay Dukov,
  • Kristina Bliznakova,
  • Yanka Baneva,
  • Zhivko Bliznakov

摘要

Polylactic Acid (PLA) is a biodegradable thermoplastic polymer, commonly used with low-cost fused filament fabrication (FFF) 3D printers. Amongst the many biomedical applications of PLA, is the use in the Radiology field, where it is exploited for preparing physical phantoms. The aim of this study is to investigate the influence of 3D printing patterns on the Hounsfield Units (HU) of Computed Tomography (CT) scanned samples. For this study, we fabricated samples with two different infill patterns—cubic subdivision and quarter cubic—across a range of infill densities (10% to 100%). The samples were scanned at a CT facility using three different kV settings. Regions of interest (ROIs) were selected from the CT images of the scanned samples, and the corresponding HU were measured. The results demonstrated that both infill pattern and density significantly influence the HU values. Both patterns were found to be suited for representing lung tissue, while the Quarter Cubic pattern was appropriate for replicating the radiological properties of adipose tissue, as well. The kV settings had a slight effect on the HU measurements. These findings will be applied to the development of anthropomorphic phantoms for radiological applications.