Quality Control in 3D Printing: Accuracy Analysis of 3D-Printed Models of Patient-Specific Anatomy
As comparative data on the precision of 3D-printed anatomical models are sparse, the aim of this study was to evaluate the accuracy of 3D-printed models of vascular anatomy generated by two commonly used printing technologies. Thirty-five 3D models of large (aortic, wall thickness of 2 mm, n = 30) a...
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| Format: | Article |
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MDPI AG
2021-02-01
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| Online Access: | https://www.mdpi.com/1996-1944/14/4/1021 |
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| author | Bernhard Dorweiler Pia Elisabeth Baqué Rayan Chaban Ahmed Ghazy Oroa Salem |
| author_facet | Bernhard Dorweiler Pia Elisabeth Baqué Rayan Chaban Ahmed Ghazy Oroa Salem |
| author_sort | Bernhard Dorweiler |
| collection | DOAJ |
| description | As comparative data on the precision of 3D-printed anatomical models are sparse, the aim of this study was to evaluate the accuracy of 3D-printed models of vascular anatomy generated by two commonly used printing technologies. Thirty-five 3D models of large (aortic, wall thickness of 2 mm, n = 30) and small (coronary, wall thickness of 1.25 mm, n = 5) vessels printed with fused deposition modeling (FDM) (rigid, n = 20) and PolyJet (flexible, n = 15) technology were subjected to high-resolution CT scans. From the resulting DICOM (Digital Imaging and Communications in Medicine) dataset, an STL file was generated and wall thickness as well as surface congruency were compared with the original STL file using dedicated 3D engineering software. The mean wall thickness for the large-scale aortic models was 2.11 µm (+5%), and 1.26 µm (+0.8%) for the coronary models, resulting in an overall mean wall thickness of +5% for all 35 3D models when compared to the original STL file. The mean surface deviation was found to be +120 µm for all models, with +100 µm for the aortic and +180 µm for the coronary 3D models, respectively. Both printing technologies were found to conform with the currently set standards of accuracy (<1 mm), demonstrating that accurate 3D models of large and small vessel anatomy can be generated by both FDM and PolyJet printing technology using rigid and flexible polymers. |
| first_indexed | 2024-03-09T00:40:03Z |
| format | Article |
| id | doaj.art-e12f2edf40c54453ac5f22da26fbd3c5 |
| institution | Directory Open Access Journal |
| issn | 1996-1944 |
| language | English |
| last_indexed | 2024-03-09T00:40:03Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Materials |
| spelling | doaj.art-e12f2edf40c54453ac5f22da26fbd3c52023-12-11T17:54:25ZengMDPI AGMaterials1996-19442021-02-01144102110.3390/ma14041021Quality Control in 3D Printing: Accuracy Analysis of 3D-Printed Models of Patient-Specific AnatomyBernhard Dorweiler0Pia Elisabeth Baqué1Rayan Chaban2Ahmed Ghazy3Oroa Salem4Department of Vascular Surgery, University Medical Center, Cologne 50937, GermanyDepartment of Nuclear Medicine, University Medical Center, Johannes-Gutenberg University, 55131 Mainz, GermanyDepartment of Cardiothoracic and Vascular Surgery, University Medical Center, Johannes-Gutenberg University, 55131 Mainz, GermanyDepartment of Cardiothoracic and Vascular Surgery, University Medical Center, Johannes-Gutenberg University, 55131 Mainz, GermanyDepartment of Vascular Surgery, University Medical Center, Cologne 50937, GermanyAs comparative data on the precision of 3D-printed anatomical models are sparse, the aim of this study was to evaluate the accuracy of 3D-printed models of vascular anatomy generated by two commonly used printing technologies. Thirty-five 3D models of large (aortic, wall thickness of 2 mm, n = 30) and small (coronary, wall thickness of 1.25 mm, n = 5) vessels printed with fused deposition modeling (FDM) (rigid, n = 20) and PolyJet (flexible, n = 15) technology were subjected to high-resolution CT scans. From the resulting DICOM (Digital Imaging and Communications in Medicine) dataset, an STL file was generated and wall thickness as well as surface congruency were compared with the original STL file using dedicated 3D engineering software. The mean wall thickness for the large-scale aortic models was 2.11 µm (+5%), and 1.26 µm (+0.8%) for the coronary models, resulting in an overall mean wall thickness of +5% for all 35 3D models when compared to the original STL file. The mean surface deviation was found to be +120 µm for all models, with +100 µm for the aortic and +180 µm for the coronary 3D models, respectively. Both printing technologies were found to conform with the currently set standards of accuracy (<1 mm), demonstrating that accurate 3D models of large and small vessel anatomy can be generated by both FDM and PolyJet printing technology using rigid and flexible polymers.https://www.mdpi.com/1996-1944/14/4/10213D printingaccuracy3D engineeringanatomical modelaortacoronary |
| spellingShingle | Bernhard Dorweiler Pia Elisabeth Baqué Rayan Chaban Ahmed Ghazy Oroa Salem Quality Control in 3D Printing: Accuracy Analysis of 3D-Printed Models of Patient-Specific Anatomy Materials 3D printing accuracy 3D engineering anatomical model aorta coronary |
| title | Quality Control in 3D Printing: Accuracy Analysis of 3D-Printed Models of Patient-Specific Anatomy |
| title_full | Quality Control in 3D Printing: Accuracy Analysis of 3D-Printed Models of Patient-Specific Anatomy |
| title_fullStr | Quality Control in 3D Printing: Accuracy Analysis of 3D-Printed Models of Patient-Specific Anatomy |
| title_full_unstemmed | Quality Control in 3D Printing: Accuracy Analysis of 3D-Printed Models of Patient-Specific Anatomy |
| title_short | Quality Control in 3D Printing: Accuracy Analysis of 3D-Printed Models of Patient-Specific Anatomy |
| title_sort | quality control in 3d printing accuracy analysis of 3d printed models of patient specific anatomy |
| topic | 3D printing accuracy 3D engineering anatomical model aorta coronary |
| url | https://www.mdpi.com/1996-1944/14/4/1021 |
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