Development of an Organ-specific Insert Phantom Generated Using a 3D Printer for Investigations of Cardiac Computed Tomography Protocols
Overview
Radiology
Affiliations
Introduction: An ideal organ-specific insert phantom should be able to simulate the anatomical features with appropriate appearances in the resultant computed tomography (CT) images. This study investigated a 3D printing technology to develop a novel and cost-effective cardiac insert phantom derived from volumetric CT image datasets of anthropomorphic chest phantom.
Methods: Cardiac insert volumes were segmented from CT image datasets, derived from an anthropomorphic chest phantom of Lungman N-01 (Kyoto Kagaku, Japan). These segmented datasets were converted to a virtual 3D-isosurface of heart-shaped shell, while two other removable inserts were included using computer-aided design (CAD) software program. This newly designed cardiac insert phantom was later printed by using a fused deposition modelling (FDM) process via a Creatbot DM Plus 3D printer. Then, several selected filling materials, such as contrast media, oil, water and jelly, were loaded into designated spaces in the 3D-printed phantom. The 3D-printed cardiac insert phantom was positioned within the anthropomorphic chest phantom and 30 repeated CT acquisitions performed using a multi-detector scanner at 120-kVp tube potential. Attenuation (Hounsfield Unit, HU) values were measured and compared to the image datasets of real-patient and Catphan 500 phantom.
Results: The output of the 3D-printed cardiac insert phantom was a solid acrylic plastic material, which was strong, light in weight and cost-effective. HU values of the filling materials were comparable to the image datasets of real-patient and Catphan 500 phantom.
Conclusions: A novel and cost-effective cardiac insert phantom for anthropomorphic chest phantom was developed using volumetric CT image datasets with a 3D printer. Hence, this suggested the printing methodology could be applied to generate other phantoms for CT imaging studies.
Sun Z J Geriatr Cardiol. 2024; 21(5):550-576.
PMID: 38948894 PMC: 11211902. DOI: 10.26599/1671-5411.2024.05.002.
Sun Z, Silberstein J, Vaccarezza M J Cardiovasc Dev Dis. 2024; 11(1).
PMID: 38248892 PMC: 10816599. DOI: 10.3390/jcdd11010022.
Cavaliere C, Baldi D, Brancato V, Aiello M, Salvatore M Front Oncol. 2023; 13:1123796.
PMID: 37700836 PMC: 10493384. DOI: 10.3389/fonc.2023.1123796.
Three-Dimensional Bioprinting in Cardiovascular Disease: Current Status and Future Directions.
Sun Z, Zhao J, Leung E, Flandes-Iparraguirre M, Vernon M, Silberstein J Biomolecules. 2023; 13(8).
PMID: 37627245 PMC: 10452258. DOI: 10.3390/biom13081180.
Three-dimensional printing of patient-specific computed tomography lung phantoms: a reader study.
Shapira N, Donovan K, Mei K, Geagan M, Roshkovan L, Gang G PNAS Nexus. 2023; 2(3):pgad026.
PMID: 36909822 PMC: 9992761. DOI: 10.1093/pnasnexus/pgad026.