From Improved Diagnostics to Presurgical Planning: High-Resolution Functionally Graded Multimaterial 3D Printing of Biomedical Tomographic Data Sets
Name
3dp.2017.0140.pdf
Description
Published version
Size
1.52 MB
Format
Adobe PDF
Checksum (MD5)
33a49cada9f73fe73b62164d4183aaa6
Author(s)
Hosny, Ahmed
Keating, Steven John
Dilley, Joshua D.
Ripley, Beth
Kelil, Tatiana
Pieper, Steve
Kolb, Dominik
Bader, Christoph
Pobloth, Anne-Marie
Griffin, Molly
Date Issued
May 2018
Journal
3D Printing and Additive Manufacturing
Publisher
Mary Ann Liebert Inc
Citation
Hosny, Ahmed et al. "From Improved Diagnostics to Presurgical Planning: High-Resolution Functionally Graded Multimaterial 3D Printing of Biomedical Tomographic Data Sets." 3D Printing and Additive Manufacturing 5, 2 (June 2018): 103-113 © 2018 Mary Ann Liebert Inc.
Version
Final published version
Abstract
Three-dimensional (3D) printing technologies are increasingly used to convert medical imaging studies into tangible (physical) models of individual patient anatomy, allowing physicians, scientists, and patients an unprecedented level of interaction with medical data. To date, virtually all 3D-printable medical data sets are created using traditional image thresholding, subsequent isosurface extraction, and the generation of .stl surface mesh file formats. These existing methods, however, are highly prone to segmentation artifacts that either over- or underexaggerate the features of interest, thus resulting in anatomically inaccurate 3D prints. In addition, they often omit finer detailed structures and require time- and labor-intensive processes to visually verify their accuracy. To circumvent these problems, we present a bitmap-based multimaterial 3D printing workflow for the rapid and highly accurate generation of physical models directly from volumetric data stacks. This workflow employs a thresholding-free approach that bypasses both isosurface creation and traditional mesh slicing algorithms, hence significantly improving speed and accuracy of model creation. In addition, using preprocessed binary bitmap slices as input to multimaterial 3D printers allows for the physical rendering of functional gradients native to volumetric data sets, such as stiffness and opacity, opening the door for the production of biomechanically accurate models.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1089/3dp.2017.0140
