Defining Soft Tissue: Bitmap Printing of Soft Tissue for Surgical Planning.
MRI
biomedical
bitmap
medical imaging
multimaterial
Journal
3D printing and additive manufacturing
ISSN: 2329-7670
Titre abrégé: 3D Print Addit Manuf
Pays: United States
ID NLM: 101649453
Informations de publication
Date de publication:
01 Dec 2022
01 Dec 2022
Historique:
entrez:
19
1
2023
pubmed:
20
1
2023
medline:
20
1
2023
Statut:
ppublish
Résumé
Nearly all applications of 3D printing for surgical planning have been limited to bony structures and simple morphological descriptions of complex organs due to the fundamental limitations in accuracy, quality, and efficiency of the current modeling paradigms and technologies. Current approaches have largely ignored the constitution of soft tissue critical to most surgical specialties where multiple high-resolution variations transition gradually across the interior of the volume. Differences in the scales of organization related to unique organs require special attention to capture fine features critical to surgical procedures. We present a six-material bitmap printing technique for creating 3D models directly from medical images, which are superior in spatial and contrast resolution to current 3D modeling methods, and contain previously unachievable spatial fidelity for soft tissue differentiation. A retrospective exempt IRB was obtained for all data through the Colorado Multiple Institution Review Board #21-3128.
Identifiants
pubmed: 36654967
doi: 10.1089/3dp.2021.0141
pii: 10.1089/3dp.2021.0141
pmc: PMC9809978
doi:
Types de publication
Journal Article
Langues
eng
Pagination
461-472Informations de copyright
© Nicholas Jacobson, et al. 2022; Published by Mary Ann Liebert, Inc.
Déclaration de conflit d'intérêts
N.J. is an author on a patent application filed by the University of Colorado Regents that describes methods similar to those described in this work (application no. US16/375,132; publication no. US20200316868A1; filed April 4, 2019; published October 8, 2020). All other authors declare that they have no competing interests.
Références
Clin Genitourin Cancer. 2020 Dec;18(6):e669-e678
pubmed: 32354617
Sci Rep. 2019 Mar 21;9(1):5016
pubmed: 30899082
IEEE Trans Vis Comput Graph. 2008 Nov-Dec;14(6):1507-14
pubmed: 18989003
3D Print Med. 2018 Nov 21;4(1):11
pubmed: 30649688
Int J Urol. 2021 Aug;28(8):870-871
pubmed: 33821541
Magn Reson Imaging. 2012 Nov;30(9):1323-41
pubmed: 22770690
J Neurooncol. 2016 Nov;130(2):331-340
pubmed: 27235145
World J Urol. 2020 Jul;38(7):1631-1641
pubmed: 31679063
Magn Reson Imaging. 1987;5(5):345-52
pubmed: 3695821
IEEE Trans Vis Comput Graph. 2009 Jan-Feb;15(1):150-9
pubmed: 19008562