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Megumi Inoue, W. Matthew Leevy (University of Notre Dame, Notre Dame, IN 46556, USA. )
3D printed anatomical models have proved to be valuable tools in clinical and academic settings to communicate complex anatomy. Procedures for converting human biomedical image data sets, like X-ray Computed Tomography (CT), to printable 3D files have been explored, allowing easy reproduction of high resolution and highly accurate monochrome models. Recent advances in 3D printing have enabled the production of objects with multiple colors, however, these capabilities are difficult to translate to segmented CT data at the sub-organ level. Here, we detail a procedure to enhance anatomical models derived from CT data by manual identification of sub-regions for full color printing using free modeling software Meshmixer’s new “Generate Complex” tool. In this study, one anatomical structure is divided into several discrete subunits that can be color coded and printed together with a multi-material printer. A 3D file of a human femur was obtained through NIH 3D Print Exchange (model ID 3DPX-000168) and color coded according to anatomical structures by manual selection. The resulting model provides an instant understanding of the different features of the bone.