Realistic 3D printed CT imaging tumor phantoms for validation of image processing algorithms

التفاصيل البيبلوغرافية
العنوان: Realistic 3D printed CT imaging tumor phantoms for validation of image processing algorithms
المؤلفون: Sepideh Hatamikia, Ingo Gulyas, Wolfgang Birkfellner, Gernot Kronreif, Alexander Unger, Gunpreet Oberoi, Andrea Lorenz, Ewald Unger, Joachim Kettenbach, Michael Figl, Janina Patsch, Andreas Strassl, Dietmar Georg, Andreas Renner
المصدر: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB). 105
سنة النشر: 2022
مصطلحات موضوعية: Biophysics, General Physics and Astronomy, Radiology, Nuclear Medicine and imaging, General Medicine
الوصف: Medical imaging phantoms are widely used for validation and verification of imaging systems and algorithms in surgical guidance and radiation oncology procedures. Especially, for the performance evaluation of new algorithms in the field of medical imaging, manufactured phantoms need to replicate specific properties of the human body, e.g., tissue morphology and radiological properties. Additive manufacturing (AM) technology provides an inexpensive opportunity for accurate anatomical replication with customization capabilities. In this study, we proposed a simple and cheap protocol using Fused Deposition Modeling (FDM) technology to manufacture realistic tumor phantoms based on the filament 3D printing technology. Tumor phantoms with both homogenous and heterogeneous radiodensity were fabricated. The radiodensity similarity between the printed tumor models and real tumor data from CT images of lung cancer patients was evaluated. Additionally, it was investigated whether a heterogeneity in the 3D printed tumor phantoms as observed in the tumor patient data had an influence on the validation of image registration algorithms. A radiodensity range between -217 to 226 HUs was achieved for 3D printed phantoms using different filament materials; this range of radiation attenuation is also observed in the human lung tumor tissue. The resulted HU range could serve as a lookup-table for researchers and phantom manufactures to create realistic CT tumor phantoms with the desired range of radiodensities. The 3D printed tumor phantoms also precisely replicated real lung tumor patient data regarding morphology and could also include life-like heterogeneity of the radiodensity inside the tumor models. An influence of the heterogeneity on accuracy and robustness of the image registration algorithms was not found.
تدمد: 1724-191X
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35be5539132aec557663d914ec26e757
https://pubmed.ncbi.nlm.nih.gov/36584415
حقوق: CLOSED
رقم الأكسشن: edsair.doi.dedup.....35be5539132aec557663d914ec26e757
قاعدة البيانات: OpenAIRE