Literature DB >> 32556912

Simulating Tissues with 3D-Printed and Castable Materials.

Michael O'Reilly1, Michael Hoff1, Seth D Friedman2, James F X Jones3, Nathan M Cross4.   

Abstract

Manufacturing technologies continue to be developed and utilized in medical prototyping, simulations, and imaging phantom production. For radiologic image-guided simulation and instruction, models should ideally have similar imaging characteristics and physical properties to the tissues they replicate. Due to the proliferation of different printing technologies and materials, there is a diverse and broad range of approaches and materials to consider before embarking on a project. Although many printed materials' biomechanical parameters have been reported, no manufacturer includes medical imaging properties that are essential for realistic phantom production. We hypothesize that there are now ample materials available to create high-fidelity imaging anthropomorphic phantoms using 3D printing and casting of common commercially available materials. A material database of radiological, physical, manufacturing, and economic properties for 29 castable and 68 printable materials was generated from samples fabricated by the authors or obtained from the manufacturer and scanned with CT at multiple tube voltages. This is the largest study assessing multiple different parameters associated with 3D printing to date. These data are being made freely available on GitHub, thus affording medical simulation experts access to a database of relevant imaging characteristics of common printable and castable materials. Full data available at: https://github.com/nmcross/Material-Imaging-Characteristics .

Keywords:  3D printing; CT number; Casting; Hounsfield units; Medical simulation; Phantom

Mesh:

Year:  2020        PMID: 32556912      PMCID: PMC7573067          DOI: 10.1007/s10278-020-00358-6

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  23 in total

Review 1.  The Lateral C1-C2 Puncture: Indications, Technique, and Potential Complications.

Authors:  Steven P Daniels; Andrew D Schweitzer; Ritwik Baidya; George Krol; Robert Schneider; Eric Lis; J Levi Chazen
Journal:  AJR Am J Roentgenol       Date:  2018-12-04       Impact factor: 3.959

2.  Evaluation of Three-Dimensional Printed Materials for Simulation by Computed Tomography and Ultrasound Imaging.

Authors:  James J Mooney; Nabeel Sarwani; Melissa L Coleman; Joseph S Fotos
Journal:  Simul Healthc       Date:  2017-06       Impact factor: 1.929

3.  Radiological properties of 3D printed materials in kilovoltage and megavoltage photon beams.

Authors:  O L Dancewicz; S R Sylvander; T S Markwell; S B Crowe; J V Trapp
Journal:  Phys Med       Date:  2017-05-26       Impact factor: 2.685

4.  Development of a 3D printed anthropomorphic lung phantom for image quality assessment in CT.

Authors:  Irene Hernandez-Giron; Johan Michiel den Harder; Geert J Streekstra; Jacob Geleijns; Wouter J H Veldkamp
Journal:  Phys Med       Date:  2018-12-20       Impact factor: 2.685

5.  An Assembled Prototype Multimaterial Three-Dimensional-Printed Model of the Neck for Computed Tomography- and Ultrasound-Guided Interventional Procedures.

Authors:  Ramin Javan; Alexander L Cho
Journal:  J Comput Assist Tomogr       Date:  2017 Nov/Dec       Impact factor: 1.826

6.  Using 3D printing techniques to create an anthropomorphic thorax phantom for medical imaging purposes.

Authors:  Colien Hazelaar; Maureen van Eijnatten; Max Dahele; Jan Wolff; Tymour Forouzanfar; Ben Slotman; Wilko F A R Verbakel
Journal:  Med Phys       Date:  2017-11-19       Impact factor: 4.071

7.  Technical Note: Accurate replication of soft and bone tissues with 3D printing.

Authors:  Nikiforos Okkalidis; George Marinakis
Journal:  Med Phys       Date:  2020-03-10       Impact factor: 4.071

8.  Radiopaque Three-dimensional Printing: A Method to Create Realistic CT Phantoms.

Authors:  Paul Jahnke; Felix R P Limberg; Andreas Gerbl; Gracia L Ardila Pardo; Victor P B Braun; Bernd Hamm; Michael Scheel
Journal:  Radiology       Date:  2016-09-14       Impact factor: 11.105

9.  Three-dimensional brain arteriovenous malformation models for clinical use and resident training.

Authors:  Mengqi Dong; Guangzhong Chen; Jianyi Li; Kun Qin; Xiaowen Ding; Chao Peng; Dong Zhou; Xiaofeng Lin
Journal:  Medicine (Baltimore)       Date:  2018-01       Impact factor: 1.889

10.  An anthropomorphic phantom representing a prematurely born neonate for digital x-ray imaging using 3D printing: Proof of concept and comparison of image quality from different systems.

Authors:  Nikolaus Irnstorfer; Ewald Unger; Azadeh Hojreh; Peter Homolka
Journal:  Sci Rep       Date:  2019-10-07       Impact factor: 4.379

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  1 in total

1.  Vascular 3D Printing with a Novel Biological Tissue Mimicking Resin for Patient-Specific Procedure Simulations in Interventional Radiology: a Feasibility Study.

Authors:  R Kaufmann; C J Zech; M Takes; P Brantner; F Thieringer; M Deutschmann; K Hergan; B Scharinger; S Hecht; R Rezar; B Wernly; M Meissnitzer
Journal:  J Digit Imaging       Date:  2022-01-07       Impact factor: 4.056

  1 in total

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