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 Pignolo; Chamith S. Rajapakse

doi:10.1117/12.2512843

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 Pignolo, Chamith S. Rajapakse

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	Medical Imaging 2019
Subtitle of host publication	Imaging Informatics for Healthcare, Research, and Applications
Editors	Peter R. Bak, Po-Hao Chen
Publisher	SPIE
ISBN (Electronic)	9781510625556
DOIs	https://doi.org/10.1117/12.2512843
State	Published - Jan 1 2019
Event	Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications - San Diego, United States Duration: Feb 17 2019 → Feb 18 2019

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	10954
ISSN (Print)	1605-7422

Conference

Conference	Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications
Country/Territory	United States
City	San Diego
Period	2/17/19 → 2/18/19

Keywords

3D-printing
Biomechanical
Cellular viability
Hydroxyapatite
Image-based
Microstructure
Patient-specific
Polycaprolactone
Scaffold

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Biomaterials
Radiology Nuclear Medicine and imaging

Access to Document

10.1117/12.2512843

Cite this

Shinde, R., Nigh, D. J. P., Miguez, S. M., Rhodes, S. S., Udupa, J. K., Shetye, S., Chandra, A., Pignolo, R., & Rajapakse, C. S. (2019). Feasibility of medical image-based bio 3D printing of variable tissue compositions. In P. R. Bak, & P-H. Chen (Eds.), Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications Article 1095409 (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10954). SPIE. https://doi.org/10.1117/12.2512843

Feasibility of medical image-based bio 3D printing of variable tissue compositions. / Shinde, Rohit; Nigh, Dietrich James P.; Miguez, Sofia M. et al.
Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications. ed. / Peter R. Bak; Po-Hao Chen. SPIE, 2019. 1095409 (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10954).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shinde, R, Nigh, DJP, Miguez, SM, Rhodes, SS, Udupa, JK, Shetye, S, Chandra, A , Pignolo, R & Rajapakse, CS 2019, Feasibility of medical image-based bio 3D printing of variable tissue compositions. in PR Bak & P-H Chen (eds), Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications., 1095409, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 10954, SPIE, Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications, San Diego, United States, 2/17/19. https://doi.org/10.1117/12.2512843

Shinde R, Nigh DJP, Miguez SM, Rhodes SS, Udupa JK, Shetye S et al. Feasibility of medical image-based bio 3D printing of variable tissue compositions. In Bak PR, Chen P-H, editors, Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications. SPIE. 2019. 1095409. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE). doi: 10.1117/12.2512843

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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.",

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

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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