Organs in Color: Utilizing Free Software and Emerging Multi Jet Fusion Technology to Color and Surface Label 3D-Printed Anatomical Models-Reference-Cited by-同舟云学术

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Organs in Color: Utilizing Free Software and Emerging Multi Jet Fusion Technology to Color and Surface Label 3D-Printed Anatomical Models

Published:2022-06-16 Issue:6 Volume:35 Page:1611-1622
ISSN:0897-1889
Container-title:Journal of Digital Imaging
language:en
Short-container-title:J Digit Imaging

Author:

Rehman Muhammad,Arsenault Lauren,Javan Ramin^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

https://link.springer.com/content/pdf/10.1007/s10278-022-00656-1.pdf

Reference24 articles.

1. Mitsouras D, Liacouras P, Imanzadeh A, Giannopoulos AA, Cai T, Kumamaru KK, George E, Wake N, Caterson EJ, Pomahac B, Ho VB, Grant GT, Rybicki FJ. Medical 3D Printing for the Radiologist. Radiographics 35(7):1965-88. https://doi.org/10.1148/rg.2015140320, Nov-Dec 2015.

2. Ballard DH, Trace AP, Ali S, Hodgdon T, Zygmont ME, DeBenedectis CM., Smith, S. E., Richardson, ML, Patel MJ, Decker SJ, & Lenchik L. Clinical Applications of 3D Printing: Primer for Radiologists. Acad Radiol, https://doi.org/10.1016/j.acra.2017.08.004, 2018.

3. Fleming C, Sadaghiani MS, Stellon MA, Javan R. Effectiveness of Three-Dimensionally Printed Models in Anatomy Education for Medical Students and Resident Physicians: Systematic Review and Meta-Analysis. J Am Coll Radiol 17:1220-1229. https://doi.org/10.1016/j.jacr.2020.05.030, 2020.

4. Ye Z, Dun A, Jiang H, Nie C, Zhao S, Wang T, Zhai J. The role of 3D printed models in the teaching of human anatomy: a systematic review and meta-analysis. BMC Med Educ 20(1):335. https://doi.org/10.1186/s12909-020-02242-x, September 29, 2020.

5. Wilk R, Likus W, Hudecki A, Syguła M, Różycka-Nechoritis A, Nechoritis K. What would you like to print? Students' opinions on the use of 3D printing technology in medicine. PLoS One 15(4):e0230851. https://doi.org/10.1371/journal.pone.0230851, April 2, 2020.

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2. Domain adaptive Sim-to-Real segmentation of oropharyngeal organs;Medical & Biological Engineering & Computing;2023-07-18

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