Toward three-dimensional (3D) human biomimetic models for x-ray radiation dosimetry and biomedical image analysis

Avery Gosselin; Nimesha Ranasinghe; Terry S. Yoo

doi:10.1117/12.2655789

3 April 2023 Toward three-dimensional (3D) human biomimetic models for x-ray radiation dosimetry and biomedical image analysis

Avery Gosselin, Nimesha Ranasinghe, Terry S. Yoo

Author Affiliations +

Proceedings Volume 12466, Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling; 124661B (2023) https://doi.org/10.1117/12.2655789
Event: SPIE Medical Imaging, 2023, San Diego, California, United States

Abstract

Studying the impact of diagnostic x-ray dose on human tissue has historically been problematic; it is unethical to subject patients to unnecessary procedures and impossible to implant dosimetry sensors in vivo. Further, the rapid growth of machine learning in early disease detection is creating enormous demand for radiological screening data. We are adapting additive manufacturing methods to create x-ray CT phantoms with smooth gradients of X-ray attenuation coefficients, mimicking invasive disease, edema, and perfusion events. Using a Crane Quad fused deposition modeling printer equipped with an M3D QuadFusion print head capable of blending materials from up to four different filaments, we are constructing solid models from mixed media that have x-ray attenuation characteristics that mimic human tissue when imaged with a CT scanner. Our work includes exploring the design and production of solid models with human x-ray characteristics with embedded dosimetry sensors. Using four different filaments, Polylactic Acid (PLA), lightweight PLA, and PLA copper-filled and bronze-filled composite filaments, we constructed phantoms with progressive densities. We had the resulting phantoms scanned with three different x-ray energies and analyzed the resulting signatures of Hounsfield Units. We demonstrate our ability to express gradients of X-ray attenuation in solid models. Lastly, we have also produced models of 2D images. This work is the first step in generating reproducible phantoms that mimic the radiological responses of human anatomy and pathology. Future studies will linearize our printing scale and later embed photodiode-based dosimetry sensors in 3D phantoms of the human body.

Conference Presentation

Citation Download Citation

Avery Gosselin, Nimesha Ranasinghe, and Terry S. Yoo "Toward three-dimensional (3D) human biomimetic models for x-ray radiation dosimetry and biomedical image analysis", Proc. SPIE 12466, Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling, 124661B (3 April 2023); https://doi.org/10.1117/12.2655789

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