From medical imaging data to 3D printed anatomical models
Anatomical models are important training and teaching tools in the clinical environment and are routinely used in medical imaging research. Advances in segmentation algorithms and increased availability of three-dimensional (3D) printers have made it possible to create cost-efficient patient-specifi...
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| Veröffentlicht in: | PloS one 2017-05, Vol.12 (5), p.e0178540-e0178540 |
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| creator | Bücking, Thore M Hill, Emma R Robertson, James L Maneas, Efthymios Plumb, Andrew A Nikitichev, Daniil I |
| description | Anatomical models are important training and teaching tools in the clinical environment and are routinely used in medical imaging research. Advances in segmentation algorithms and increased availability of three-dimensional (3D) printers have made it possible to create cost-efficient patient-specific models without expert knowledge. We introduce a general workflow that can be used to convert volumetric medical imaging data (as generated by Computer Tomography (CT)) to 3D printed physical models. This process is broken up into three steps: image segmentation, mesh refinement and 3D printing. To lower the barrier to entry and provide the best options when aiming to 3D print an anatomical model from medical images, we provide an overview of relevant free and open-source image segmentation tools as well as 3D printing technologies. We demonstrate the utility of this streamlined workflow by creating models of ribs, liver, and lung using a Fused Deposition Modelling 3D printer. |
| doi_str_mv | 10.1371/journal.pone.0178540 |
| format | Article |
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Advances in segmentation algorithms and increased availability of three-dimensional (3D) printers have made it possible to create cost-efficient patient-specific models without expert knowledge. We introduce a general workflow that can be used to convert volumetric medical imaging data (as generated by Computer Tomography (CT)) to 3D printed physical models. This process is broken up into three steps: image segmentation, mesh refinement and 3D printing. To lower the barrier to entry and provide the best options when aiming to 3D print an anatomical model from medical images, we provide an overview of relevant free and open-source image segmentation tools as well as 3D printing technologies. We demonstrate the utility of this streamlined workflow by creating models of ribs, liver, and lung using a Fused Deposition Modelling 3D printer.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0178540</identifier><identifier>PMID: 28562693</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>3-D printers ; Algorithms ; Biology and Life Sciences ; Biomedical engineering ; Brain research ; CAT scans ; Catheter ablation ; Computed tomography ; Computer and Information Sciences ; Deposition ; Engineering ; Engineering and technology ; Environment ; Environment models ; Freeware ; Fused deposition modeling ; Health physics ; Humans ; Image processing ; Image segmentation ; Imaging, Three-Dimensional ; Internet ; Liver ; Lungs ; Medical imaging ; Medical research ; Medicine and Health Sciences ; Models, Anatomic ; NMR ; Nuclear magnetic resonance ; Open source software ; Personal computers ; Physical training ; Physics ; Printers ; Printing ; Printing, Three-Dimensional ; Research and Analysis Methods ; Reviews ; Ribs ; Segmentation ; Source code ; Three dimensional models ; Three dimensional printing ; Tomography ; Training ; Ultrasonic imaging</subject><ispartof>PloS one, 2017-05, Vol.12 (5), p.e0178540-e0178540</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Bücking et al. 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| issn | 1932-6203 1932-6203 |
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| subjects | 3-D printers Algorithms Biology and Life Sciences Biomedical engineering Brain research CAT scans Catheter ablation Computed tomography Computer and Information Sciences Deposition Engineering Engineering and technology Environment Environment models Freeware Fused deposition modeling Health physics Humans Image processing Image segmentation Imaging, Three-Dimensional Internet Liver Lungs Medical imaging Medical research Medicine and Health Sciences Models, Anatomic NMR Nuclear magnetic resonance Open source software Personal computers Physical training Physics Printers Printing Printing, Three-Dimensional Research and Analysis Methods Reviews Ribs Segmentation Source code Three dimensional models Three dimensional printing Tomography Training Ultrasonic imaging |
| title | From medical imaging data to 3D printed anatomical models |
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