Feasibility of medical image-based bio 3D printing of variable tissue compositions

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

doi:10.1117/12.2512843

15 March 2019 Feasibility of medical image-based bio 3D printing of variable tissue compositions

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

Author Affiliations +

Proceedings Volume 10954, Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications; 1095409 (2019) https://doi.org/10.1117/12.2512843
Event: SPIE Medical Imaging, 2019, San Diego, California, United States

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.

Conference Presentation

Citation Download Citation

Rohit Shinde, Dietrich James P. Nigh, Sofia M. Miguez, Sylvia S. Rhodes, Jayaram K. Udupa, Snehal Shetye, Abhishek Chandra, Robert J. Pignolo, and Chamith S. Rajapakse "Feasibility of medical image-based bio 3D printing of variable tissue compositions", Proc. SPIE 10954, Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications, 1095409 (15 March 2019); https://doi.org/10.1117/12.2512843

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available