Startseite Medizin Repository of 3D images for education and everyday clinical practice purposes
Artikel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

Repository of 3D images for education and everyday clinical practice purposes

  • Marek Macko , Zbigniew Szczepanski , Emilia Mikolajewska EMAIL logo , Joanna Nowak und Dariusz Mikolajewski
Veröffentlicht/Copyright: 21. April 2017
Veröffentlichen auch Sie bei De Gruyter Brill

Abstract

Novel, easy-automation technologies such as three-dimensional (3D) printing and reverse engineering can improve the training of medical and allied health professionals and everyday clinical practice. This paper aims at the presentation of its own concept of the repository of medical images for education and everyday clinical practice purposes. Presented concept of the repository constitutes a relatively novel solution, but its further development may lead to the novel family of commercial initiatives aiming at joining common efforts toward optimization of 3D-based technologies in everyday clinical practice and online e-learning system.

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: None declared.

  3. Employment or leadership: None declared.

  4. Honorarium: None declared.

  5. Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.

References

1. O’Reilly MK, Reese S, Herlihy T, Geoghegan T, Cantwell CP, Feeney RN, et al. Fabrication and assessment of 3D printed anatomical models of the lower limb for anatomical teaching and femoral vessel access training in medicine. Anat Sci Educ 2016;9:71–9.10.1002/ase.1538Suche in Google Scholar PubMed

2. Kennedy DN, Haselgrove C, Riehl J, Preuss N, Buccigrossi R. The NITRC image repository. Neuroimage 2016;124:1069–73.10.1016/j.neuroimage.2015.05.074Suche in Google Scholar PubMed PubMed Central

3. Bellec P, Chu C, Chouinard-Decorte F, Benhajali Y, Margulies DS, Craddock RC. The Neuro Bureau ADHD-200 preprocessed repository. Neuroimage 2016. DOI: 10.1016/j.neuroimage.2016.06.034.10.1016/j.neuroimage.2016.06.034Suche in Google Scholar PubMed

4. Matthews PM, Hampshire A. Clinical concepts emerging from fMRI functional Connectomics. Neuron 2016;91:511–28.10.1016/j.neuron.2016.07.031Suche in Google Scholar PubMed

5. Mevel K, Fransson P. The functional brain connectome of the child and autism spectrum disorders. Acta Paediatr 2016;105:1024–35.10.1111/apa.13484Suche in Google Scholar PubMed

6. Patel SR, Ghose K, Eskandar EN. An open source 3-D printed modular micro-drive system for acute neurophysiology. PLoS One 2014;9:e94262.10.1371/journal.pone.0094262Suche in Google Scholar PubMed PubMed Central

7. Weinberg SM, Raffensperger ZD, Kesterke MJ, Heike CL, Cunningham ML, Hecht JT, et al. The 3D facial norms database: part 1. A web-based craniofacial anthropometric and image repository for the clinical and research community. Cleft Palate Craniofac J 2016;53:e185–97.10.1597/15-199Suche in Google Scholar PubMed PubMed Central

8. Keane PA, Grossi CM, Foster PJ, Yang Q, Reisman CA, Chan K, et al. Optical coherence tomography in the UK biobank study – rapid automated analysis of retinal thickness for large population-based studies. PLoS One 2016;11:e0164095.10.1371/journal.pone.0164095Suche in Google Scholar PubMed PubMed Central

9. Copes LE, Lucas LM, Thostenson JO, Hoekstra HE, Boyer DM. A collection of non-human primate computed tomography scans housed in MorphoSource, a repository for 3D data. Sci Data 2016;3:160001.10.1038/sdata.2016.1Suche in Google Scholar PubMed PubMed Central

10. Radenkovic D, Solouk A, Seifalian A. Personalized development of human organs using 3D printing technology. Med Hypotheses 2016;87:30–3.10.1016/j.mehy.2015.12.017Suche in Google Scholar PubMed

11. Visser J, Melchels FP, Dhert WJ, Malda J. Tissue printing; the potential application of 3D printing in medicine. Ned Tijdschr Geneeskd 2013;157:A7043.Suche in Google Scholar

12. Shui W, Zhou M, Chen S, Pan Z, Deng Q, Yao Y, et al. The production of digital and printed resources from multiple modalities using visualization and three-dimensional printing techniques. Int J Comput Assist Radiol Surg 2016. [Epub ahead of print].10.1007/s11548-016-1461-9Suche in Google Scholar PubMed

13. Naftulin JS, Kimchi EY, Cash SS. Streamlined, inexpensive 3D printing of the brain and skull. PLoS One 2015;10:e0136198.10.1371/journal.pone.0136198Suche in Google Scholar PubMed PubMed Central

14. Gür Y. Additive manufacturing of anatomical models from computed tomography scan data. Mol Cell Biomech 2014;11:249–58.Suche in Google Scholar

15. He Y, Xue GH, Fu JZ. Fabrication of low cost soft tissue prostheses with the desktop 3D printer. Sci Rep 2014;4:6973.10.1038/srep06973Suche in Google Scholar PubMed PubMed Central

16. Choonara YE, du Toit LC, Kumar P, Kondiah PP, Pillay V. 3D-printing and the effect on medical costs: a new era? Expert Rev Pharmacoecon Outcomes Res 2016;16:23–32.10.1586/14737167.2016.1138860Suche in Google Scholar PubMed

17. Gu Q, Hao J, Lu Y, Wang L, Wallace GG, Zhou Q. Three-dimensional bio-printing. Sci China Life Sci 2015;58:411–9.10.1007/s11427-015-4850-3Suche in Google Scholar PubMed

18. Schubert C, van Langeveld MC, Donoso LA. Innovations in 3D printing: a 3D overview from optics to organs. Br J Ophthalmol 2014;98:159–61.10.1136/bjophthalmol-2013-304446Suche in Google Scholar PubMed

19. Mikołajewska E, Macko M, Mikołajewski D, Ziarnecki Ł, Stańczak S, Kawalec P. Medical and military applications of 3D printing. Journal of Science of the gen. Tadeusz Kosciuszko Military Academy of Land Forces 2016;179:128–41.Suche in Google Scholar

20. Macko M, Mikołajewska E, Szczepański Z, Augustyńska B, Mikołajewski D. Repository of images for reverse engineering and medical simulation purposes. Med Biol Sci 2016;30:23–9.10.12775/MBS.2016.020Suche in Google Scholar

21. Macko M, Szczepański Z, Mikołajewski D, Mikołajewska E, Nowak J, Listopadzki S. The method of artificial organs fabrication based on reverse engineering in medicine. Proceedings of the III International Scientific Conference: Morpho-Biomechanical and Psycho-Physical Aspects of Youth Lifestyle in V4 Countries, Napierała PM et al., eds. Bydgoszcz: Institute of Physical Education, Kazimierz Wielki University in Bydgoszcz, 2016, p. 45.Suche in Google Scholar

22. Mikołajewska E, Macko M, Ziarnecki Ł, Stańczak S, Kawalec P, Mikołajewski D. 3D printing technologies in rehabilitation engineering. J Health Sci 2014;4:78–83.Suche in Google Scholar

Received: 2017-3-13
Accepted: 2017-3-27
Published Online: 2017-4-21
Published in Print: 2017-6-27

©2017 Walter de Gruyter GmbH, Berlin/Boston

Heruntergeladen am 7.12.2025 von https://www.degruyterbrill.com/document/doi/10.1515/bams-2017-0007/pdf
Button zum nach oben scrollen