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Congress: ECR25
Poster Number: C-19231
Type: Poster: EPOS Radiologist (scientific)
Authorblock: A. Kazhybekova, T. Omahony, S. Tracy, I. Hernandez-Giron; Dublin/IE
Disclosures:
Ainur Kazhybekova: Nothing to disclose
Tristan Omahony: Nothing to disclose
Saoirse Tracy: Nothing to disclose
Irene Hernandez-Giron: Nothing to disclose
Keywords: Radiation physics, CT, Observer performance, Physics, Image verification, Quality assurance
Purpose To evaluate the manufacturing process of 3D printing complex anthropomorphic phantoms containing lung vessel distributions, for CT imaging assessment.
Read more Methods and materials IntroductionWith recent advancements in CT imaging, especially with AI-driven image reconstruction methods primarily trained on patient data, there is a gap between the technical image quality metrics combined with simple phantoms and clinical image quality requirements [1]. Bridging this gap requires development of more realistic anthropomorphic phantoms that mimic diverse patient morphometries and potential disease variations. 3D-printing offers a promising solution, allowing for the designing of customised, affordable, and flexible models, to represent patient anatomy [2].Anthropomorphic lung vessel modelAn in-house...
Read more Results Micro-CT scanningTPU powder had lower attenuation compared to the vessels (both under clinical CT and micro-CT imaging), indicating the difference in material properties between the powder and its fused form. However, bright spots within the powder, corresponding to areas of highest attenuation, were observed in micro-CT images, suggesting localised regions of increased density or material variation (Fig. 4). The detailed material composition is not provided by 3D-manufacturers, in general. The CT attenuation properties of the 3D-printed phantom were presented elsewhere...
Read more Conclusion A methodology for accuracy evaluation of 3D-printed anthropomorphic phantoms was developed. The 3D-printed vessel phantom was a robust representation of the design model and can be used to evaluate CT imaging protocols and reconstruction methods, as its actual morphometry has been characterized. Micro-CT imaging allowed to generate an accurate representation of the printed model, which can be used as the ground truth to compare against CT images of the same phantom obtained with different reconstruction algorithms or systems [8]. The local attenuation...
Read more References [1] L.R. Koetzier, D. Mastrodicasa, T.P. Szczykutowicz, N.R. van der Werf, A.S. Wang, V. Sandfort, A.J.van der Molen, D. Fleischmann, and M.J. Willemink, 2023. Deep learning image reconstruction for CT: technical principles and clinical prospects. Radiology, 306(3), p.e221257. https://doi.org/10.1148/radiol.221257[2] Mei, K., M. Geagan, L. Roshkovan, H.I. Litt, G.J. Gang, N. Shapira, J.W. Stayman and P.B. Noël, 2022. Three-dimensional printing of patient-specific lung phantoms for CT imaging: emulating lung tissue with accurate attenuation profiles and textures. Medical physics, 49(2), pp.825-835. https://doi.org/10.1002/mp.15407[3] E.R. Weibel and D.M....
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