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Dual-energy CT evaluation of 3D printed materials for radiotherapy applications
Tijdschriftbijdrage - Tijdschriftartikel
Objective. There is a continuous increase in 3D printing applications in several fields including medical imaging and radiotherapy. Although there are numerous advantages of using 3D printing for the development of customized phantoms, bolus, quality assurance devices and other clinical applications, material properties are not well known and printer settings can affect considerably the properties (e.g. density, isotropy and homogeneity) of the printed parts. This study aims to evaluate several materials and printer properties to identify a range of tissue-mimicking materials. Approach. Dual-energy CT was used to obtain the effective atomic number (Z (eff)) and relative electron density (RED) for thirty-one different materials including different colours of the same filament from the same manufacturer and the same type of filament from different manufacturers. In addition, a custom bone equivalent filament was developed and evaluated since a high-density filament with a composition similar to bone is not commercially available. Printing settings such as infill density, infill pattern, layer height and nozzle size were also evaluated. Main results. Large differences were observed for HU (288), RED (>10%) and Z (eff) (>50%) for different colours of the same filament due to the colour pigment. Results show a wide HU variation (-714 to 1104), RED (0.277 to 1.480) and Z (eff) (5.22 to 12.39) between the printed samples with some materials being comparable to commercial tissue-mimicking materials and good substitutes to a range of materials from lung to bone. Printer settings can result in directional dependency and significantly affect the homogeneity of the samples. Significance. The use of DECT to extract RED, and Z (eff) allows for quantitative imaging and dosimetry using 3D printed materials equivalent to certified tissue-mimicking tissues.
Tijdschrift: Physics in Medicine and Biology
ISSN: 0031-9155
Issue: 3
Volume: 68
Jaar van publicatie:2023
Trefwoorden:3D printing, DECT, radiotherapy, Radiologie en nucleaire geneeskunde, Biomaterialen en biomedische ingenieurswetenschappen
Toegankelijkheid:Open