Supporting data for 3D Printed Anisotropic Tissue Simulants with Embedded Fluid Capsules for Medical Simulation and Training
2025-02-10
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2021-08-01
2025-02-01
2025-02-01
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Supporting data for 3D Printed Anisotropic Tissue Simulants with Embedded Fluid Capsules for Medical Simulation and Training
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2025-02-10
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McAlpine, Michael C.
mcalpine@umn.edu
mcalpine@umn.edu
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Abstract
Human tissues are primarily composed of collagen and elastin fiber networks that exhibit directional mechanical properties which are not replicable by conventional tissue simulants manufactured via casting. Here, we 3D print tissue simulants which incorporate anisotropic mechanical properties through the manipulation of infill voxel shape and dimensions. A mathematical model for predicting the anisotropy of single and multi-material structures with orthogonal infill patterns is developed. We apply this methodology to generate conformal printing toolpaths for replicating the structure and directional mechanics observed in native tissue within 3D printed tissue simulants. Further, a method to embed fluid-filled capsules within the infill structure of these tissue simulants to mimic blood is also presented. The improvements in simulation quality when using 3D printed anisotropic tissue simulants over conventional tissue simulants is demonstrated via a comparative acceptability study. These advances open new avenues for the manufacture of next-generation tissue simulants with high mechanical fidelity for enhanced medical simulation and training.
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These files contain raw data and analysis codes for experiments performed in 3D printing anisotropic tissue simulants with embedded fluid capsules for medical simulation and training.
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Department of Defense Award# W912CG-20-C-0032
University of Minnesota MnDRIVE Initiative on Robotics, Sensors, and Advanced Manufacturing (RSAM), and Boston Scientific Corporation
University of Minnesota MnDRIVE Initiative on Robotics, Sensors, and Advanced Manufacturing (RSAM), and Boston Scientific Corporation
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Somayaji, Adarsh; Lawler, Matthew S; Gong, Alex T; Fuenning , Zachary M; Roach, Victoria A; B S, Athira ; Traina, David J; Speich, Jason R; Wang, Ruikang K; Hackett, Matthew G; Hananel, David M; Sweet , Robert M; McAlpine, Michael C. (2025). Supporting data for 3D Printed Anisotropic Tissue Simulants with Embedded Fluid Capsules for Medical Simulation and Training. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/p292-2m07.
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Readme_Somayaji.txt
Description of data.
(47.17 KB)
Fig2 and FigS3.zip
Raw data files, MATLAB script, and Origin plots for Figures 1D, 1F-G and Figure S2.
(3.41 MB)
Fig4 and FigS9-10.zip
Raw data files, MATLAB script, and Origin plots for Figures 4D, 4G and Figures S9-10.
(4.32 MB)
Fig1 and FigS2.zip
Raw data files, MATLAB script, and Origin plots for Figures 1D, 1F-G and Figure S2.
(4.29 MB)
Fig3 and FigS4.zip
Raw data files, MATLAB script, and Origin plots for Figures 3B-C, 3G and Figure S4.
(21.48 MB)
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