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Simulating Tissues with 3D-Printed and Castable Materials

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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.

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References

  1. Hull CW. Apparatus for production of three-dimensional objects by stereolithography. Google Patents; 1986.

  2. Dong M, Chen G, Li J, Qin K, Ding X, Peng C, et al. Three-dimensional brain arteriovenous malformation models for clinical use and resident training. Medicine (Baltimore) 2018;97(3):e9516.

    Article  Google Scholar 

  3. Hernandez-Giron I, den Harder JM, Streekstra GJ, Geleijns J, Veldkamp WJH. Development of a 3D printed anthropomorphic lung phantom for image quality assessment in CT. Phys Med 2019;57:47-57.

    Article  Google Scholar 

  4. Mao Z, Zhang N, Cui Y. Three-dimensional printing of surgical guides for mandibular distraction osteogenesis in infancy. Medicine (Baltimore) 2019;98(10):e14754.

    Article  Google Scholar 

  5. Shibata E, Takao H, Amemiya S, Ohtomo K. 3D-printed visceral aneurysm models based on CT data for simulations of endovascular embolization: evaluation of size and shape accuracy. AJR Am J Roentgenol 2017;209(2):243-7.

    Article  Google Scholar 

  6. Wong TT, Lynch TS, Popkin CA, Kazam JK. Preoperative use of a 3D printed model for femoroacetabular impingement surgery and its effect on planned osteoplasty. Am J Roentgenol 2018;211(2):W116-W21.

    Article  Google Scholar 

  7. Mix A, Giacomin A. Standardized polymer durometry. J Test Eval 2011;39(4):696-705.

    CAS  Google Scholar 

  8. Dillon C BW, Clements J, Cody D, Gress D, Kanal K, Kofler J, McNitt-Gray MF, Norweck J, Pfeiffer D, Ruckdeschel TG, Strauss KJ, Tomlinson J. Computed tomography quality control manual. . Reston:American College of Radiology; 2017.

    Google Scholar 

  9. Kalender W. Computed tomography: fundamentals, system technology, image quality, applications. 2011. Translated from the German.

  10. Bibb R, Thompson D, Winder J. Computed tomography characterisation of additive manufacturing materials. Med Eng Phys. 2011;33(5):590-6.

  11. Shin J, Sandhu RS, Shih G. Imaging properties of 3D printed materials: multi-energy CT of filament polymers. J Digit Imaging 2017;30(5):572-5.

    Article  Google Scholar 

  12. Silvestro E, Betts KN, Francavilla ML, Andronikou S, Sze RW. Imaging properties of additive manufactured (3D printed) materials for potential use for phantom models. J Digit Imaging 2019

  13. Mooney JJ, Sarwani N, Coleman ML, Fotos JS. Evaluation of three-dimensional printed materials for simulation by computed tomography and ultrasound imaging. Simul Healthc 2017;12(3):182-8.

    Article  Google Scholar 

  14. Matsumoto JS, Morris JM, Foley TA, Williamson EE, Leng S, McGee KP, et al. Three-dimensional physical modeling: applications and experience at Mayo Clinic. Radiographics 2015;35(7):1989-2006.

    Article  Google Scholar 

  15. Hazelaar C, van Eijnatten M, Dahele M, Wolff J, Forouzanfar T, Slotman B, et al. Using 3D printing techniques to create an anthropomorphic thorax phantom for medical imaging purposes. Med Phys 2018;45(1):92-100.

    Article  Google Scholar 

  16. Adams F, Qiu T, Mark A, Fritz B, Kramer L, Schlager D, et al. Soft 3D-printed phantom of the human kidney with collecting system. Ann Biomed Eng 2017;45(4):963-72.

    Article  Google Scholar 

  17. Jahnke P, Limberg FR, Gerbl A, Ardila Pardo GL, Braun VP, Hamm B, et al. Radiopaque three-dimensional printing: a method to create realistic CT phantoms. Radiology. 2017;282(2):569-75.

    Article  Google Scholar 

  18. Okkalidis N, Marinakis G. Technical note: accurate replication of soft and bone tissues with 3D printing. Med Phys. 2020:https://doi.org/10.1002/mp.14100.

  19. Irnstorfer N, Unger E, Hojreh A, Homolka P. 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. Sci Rep. 2019;9(1):14357.

    Article  Google Scholar 

  20. Javan R, Cho AL. An assembled prototype multimaterial three-dimensional–printed model of the neck for computed tomography–and ultrasound-guided interventional procedures. J Comput Assist Tomogr 2017;41(6):941-8.

    Article  Google Scholar 

  21. Dancewicz OL, Sylvander SR, Markwell TS, Crowe SB, Trapp JV. Radiological properties of 3D printed materials in kilovoltage and megavoltage photon beams. Phys Med 2017;38:111-8.

    Article  CAS  Google Scholar 

  22. Filippou V, Tsoumpas C. Recent advances on the development of phantoms using 3D printing for imaging with CT, MRI, PET, SPECT, and ultrasound. Med Phys 2018;45(9):e740-e60.

    Article  Google Scholar 

  23. Kalender WA. Computed tomography: fundamentals, system technology, image quality, applications John Wiley & Sons; 2011.

  24. Vieira SL, Pavan TZ, Junior JE, Carneiro AA. Paraffin-gel tissue-mimicking material for ultrasound-guided needle biopsy phantom. Ultrasound Med Biol 2013;39(12):2477-84.

    Article  Google Scholar 

  25. Chang D, Tummala S, Sotero D, Tong E, Mustafa L, Mustafa M, et al. Three-dimensional printing for procedure rehearsal/simulation/planning in interventional radiology. Tech Vasc Interv Radiol 2019;22(1):14-20.

    Article  Google Scholar 

  26. Ceh J, Youd T, Mastrovich Z, Peterson C, Khan S, Sasser TA, et al. Bismuth infusion of ABS enables additive manufacturing of complex radiological phantoms and shielding equipment. Sensors (Basel). 2017;17(3).

  27. Jahnke P, Schwarz S, Ziegert M, Schwarz FB, Hamm B, Scheel M. Paper-based 3D printing of anthropomorphic CT phantoms: feasibility of two construction techniques. Eur Radiol 2019;29(3):1384-90.

    Article  Google Scholar 

  28. Daniels SP, Schweitzer AD, Baidya R, Krol G, Schneider R, Lis E, et al. The lateral C1-C2 puncture: indications, technique, and potential complications. Am J Roentgenol 2019;212(2):431-42.

    Article  Google Scholar 

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Acknowledgments

Christopher Howard, Seattle Children’s Imagination Lab–multiple print samples.

David Zamora MS, UW Radiology–help with CT Physics.

Christina Brunquell PhD, UW Radiology–help with CT Physics.

Kalpana Kanal PhD, UW Radiology–help with CT Physics.

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Correspondence to Nathan M Cross.

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O’Reilly, M., Hoff, M., Friedman, S.D. et al. Simulating Tissues with 3D-Printed and Castable Materials. J Digit Imaging 33, 1280–1291 (2020). https://doi.org/10.1007/s10278-020-00358-6

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  • DOI: https://doi.org/10.1007/s10278-020-00358-6

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