Share Email Print
cover

Proceedings Paper • new

Feasibility of medical image-based bio 3D printing of variable tissue compositions
Author(s): Rohit Shinde; Dietrich James P. Nigh; Sofia M. Miguez; Sylvia S. Rhodes; Jayaram K. Udupa; Snehal Shetye; Abhishek Chandra; Robert J. Pignolo; Chamith S. Rajapakse
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This study aims to display the ability and efficacy of 3D printing image-based, implantable biological scaffolds with varying properties. In this study, scaffolds were printed using various ratios of hydroxyapatite (HA) to polycaprolactone (PCL) to display a spectrum of properties suitable for musculoskeletal scaffolds. As an initial application of this method, scaffolds were generated from a series of one hundred DICOM images for a 60-year-old, female proximal femur. Additional structures, including a printed box and a circular lattice were generated. These models were printed at HA to PCL ratios (m/m) of 1:9, 2:8, 3:7, 4:6, 5:5, 6:4, 7:3, 8:2, and 9:1. Postprinting analysis of the ratios was performed with scanning electron microscopy to observe the prints’ microstructure. Post printing analysis also included a compression test to observe biomechanical properties and a cell culture on the prints to observe cellular viability and adhesion. Ratios showed vast microstructural differences. It was also found that the 6:4 sample had the most similar surface level microstructure to that of human trabecular bone. The compression test revealed a positive correlation (R2 = 0.92) between HA concentration (%) and stiffness (N/mm). Cellular viability and adhesion were confirmed for 10 days after initial seeding cells.

Paper Details

Date Published: 15 March 2019
PDF: 12 pages
Proc. SPIE 10954, Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications, 1095409 (15 March 2019); doi: 10.1117/12.2512843
Show Author Affiliations
Rohit Shinde, Univ. of Pennsylvania (United States)
Dietrich James P. Nigh, Univ. of Pennsylvania (United States)
Sofia M. Miguez, Univ. of Pennsylvania (United States)
Sylvia S. Rhodes, Univ. of Pennsylvania (United States)
Jayaram K. Udupa, Univ. of Pennsylvania (United States)
Snehal Shetye, Univ. of Pennsylvania (United States)
Abhishek Chandra, Mayo Clinic (United States)
Robert J. Pignolo, Mayo Clinic (United States)
Chamith S. Rajapakse, Univ. of Pennsylvania (United States)


Published in SPIE Proceedings Vol. 10954:
Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications
Po-Hao Chen; Peter R. Bak, Editor(s)

© SPIE. Terms of Use
Back to Top