Literature DB >> 35384062

Full color 3D printing of anatomical models.

Liwen Tan1, Zengtao Wang2, Hongxin Jiang3, Bing Han1, Jing Tang1, Chengfeng Kang1, Na Zhang1, Yifa Xu1.   

Abstract

We propose an effective method for manufacturing human anatomical specimens in response to the shortage of cadaver specimens and the poor simulation results of anatomical specimen substitutes. Digital human data with high precision were used to create digital models and corresponding mapped textures. Different materials were chosen to print the digital models with full-color and multimaterial 3D-printing technology based on the histological characteristics of the anatomical structures. Anatomy experts and surgeons were then invited to compare the 3D printed models with authentic anatomical specimens in terms of morphological appearance, anatomical detail, and textural properties. The skull, brain, hand muscles, blood vessels and nerves of the hand, and the deep structure of the head and face were printed. The skull model used hard material, and the brain and hand muscles models used flexible and hard materials combined. The blood vessels, nerves of the hand, and the superficial and deep structure of the head and face used transparent materials, revealing the small vessels and nerves in the interior. In all the models, there were no significant differences from anatomical specimens in morphological appearance and anatomical detail. They also affected vision and touch in the same way as authentic specimens in the textural properties of color, roughness, smoothness, and fineness. Full-color and multi-material 3D printed anatomical models have the same visual and tactile properties as anatomical specimens and could serve to complement or supplement them in anatomy teaching to compensate for the shortage of cadavers.
© 2022 American Association for Clinical Anatomists and the British Association for Clinical Anatomists.

Entities:  

Keywords:  3D printing; anatomy; digital human; full-color; medical education; multi-material

Year:  2022        PMID: 35384062     DOI: 10.1002/ca.23875

Source DB:  PubMed          Journal:  Clin Anat        ISSN: 0897-3806            Impact factor:   2.414


  1 in total

1.  Pigment Penetration Characterization of Colored Boundaries in Powder-Based Color 3D Printing.

Authors:  Danyang Yao; Jiangping Yuan; Jieni Tian; Liru Wang; Guangxue Chen
Journal:  Materials (Basel)       Date:  2022-04-30       Impact factor: 3.748

  1 in total

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