English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  From Improved Diagnostics to Presurgical Planning: High-Resolution Functionally Graded Multimaterial 3D Printing of Biomedical Tomographic Data Sets

Hosny, A., Keating, S. J., Dilley, J. D., Ripley, B., Kelil, T., Pieper, S., et al. (2018). 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), 103-113. doi:10.1089/3dp.2017.0140.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/21.11116/0000-0001-6DAB-5 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-5C55-7
Genre: Journal Article
Alternative Title : 3D Printing and Additive Manufacturing

Files

show Files
hide Files
:
Article.pdf (Publisher version), 2MB
 
File Permalink:
-
Name:
Article.pdf
Description:
-
Visibility:
Restricted (Max Planck Institute of Colloids and Interfaces, MTKG; )
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Hosny, Ahmed, Author
Keating, Steven J., Author
Dilley, Joshua D., Author
Ripley, Beth, Author
Kelil, Tatiana, Author
Pieper, Steve, Author
Kolb, Dominik, Author
Bader, Christoph, Author
Pobloth, Anne-Marie, Author
Griffin, Molly, Author
Nezafat, Reza, Author
Duda, Georg, Author
Chiocca, Ennio A., Author
Stone, James R., Author
Michaelson, James S., Author
Dean, Mason N.1, Author              
Oxman, Neri, Author
Weaver, James C., Author
Affiliations:
1Mason Dean (Indep. Res.), Max Planck Institute of Colloids and Interfaces, Max Planck Society, ou_2231639              

Content

show
hide
Free keywords: -
 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.

Details

show
hide
Language(s):
 Dates: 2018-05-292018
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1089/3dp.2017.0140
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: 3D Printing and Additive Manufacturing
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: New Rochelle, NY : Mary Ann Liebert
Pages: - Volume / Issue: 5 (2) Sequence Number: - Start / End Page: 103 - 113 Identifier: ISSN: 2329-7662