Methods for verification of 3D printed anatomic model accuracy using cardiac models as an example
Background Medical 3D printing has brought the manufacturing world closer to the patient’s bedside than ever before. This requires hospitals and their personnel to update their quality assurance program to more appropriately accommodate the 3D printing fabrication process and the challenges that com...
Ausführliche Beschreibung
Autor*in: |
Odeh, Mohammad [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2019 |
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Anmerkung: |
© The Author(s) 2019 |
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Übergeordnetes Werk: |
Enthalten in: 3D printing in medicine - [Cham, Switzerland] : Springer International Publishing, 2015, 5(2019), 1 vom: 29. März |
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Übergeordnetes Werk: |
volume:5 ; year:2019 ; number:1 ; day:29 ; month:03 |
Links: |
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DOI / URN: |
10.1186/s41205-019-0043-1 |
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Katalog-ID: |
SPR038108577 |
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520 | |a Background Medical 3D printing has brought the manufacturing world closer to the patient’s bedside than ever before. This requires hospitals and their personnel to update their quality assurance program to more appropriately accommodate the 3D printing fabrication process and the challenges that come along with it. Results In this paper, we explored different methods for verifying the accuracy of a 3D printed anatomical model. Methods included physical measurements, digital photographic measurements, surface scanning, photogrammetry, and computed tomography (CT) scans. The details of each verification method, as well as their benefits and challenges, are discussed. Conclusion There are multiple methods for model verification, each with benefits and drawbacks. The choice of which method to adopt into a quality assurance program is multifactorial and will depend on the type of 3D printed models being created, the training of personnel, and what resources are available within a 3D printed laboratory. | ||
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10.1186/s41205-019-0043-1 doi (DE-627)SPR038108577 (SPR)s41205-019-0043-1-e DE-627 ger DE-627 rakwb eng Odeh, Mohammad verfasserin aut Methods for verification of 3D printed anatomic model accuracy using cardiac models as an example 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2019 Background Medical 3D printing has brought the manufacturing world closer to the patient’s bedside than ever before. This requires hospitals and their personnel to update their quality assurance program to more appropriately accommodate the 3D printing fabrication process and the challenges that come along with it. Results In this paper, we explored different methods for verifying the accuracy of a 3D printed anatomical model. Methods included physical measurements, digital photographic measurements, surface scanning, photogrammetry, and computed tomography (CT) scans. The details of each verification method, as well as their benefits and challenges, are discussed. Conclusion There are multiple methods for model verification, each with benefits and drawbacks. The choice of which method to adopt into a quality assurance program is multifactorial and will depend on the type of 3D printed models being created, the training of personnel, and what resources are available within a 3D printed laboratory. Accuracy (dpeaa)DE-He213 Verification (dpeaa)DE-He213 Validation (dpeaa)DE-He213 3D printing (dpeaa)DE-He213 Additive manufacturing (dpeaa)DE-He213 Anatomical models (dpeaa)DE-He213 Levin, Dmitry aut Inziello, Jim aut Lobo Fenoglietto, Fluvio aut Mathur, Moses aut Hermsen, Joshua aut Stubbs, Jack aut Ripley, Beth (orcid)0000-0001-7723-169X aut Enthalten in 3D printing in medicine [Cham, Switzerland] : Springer International Publishing, 2015 5(2019), 1 vom: 29. März (DE-627)844435171 (DE-600)2843165-0 2365-6271 nnns volume:5 year:2019 number:1 day:29 month:03 https://dx.doi.org/10.1186/s41205-019-0043-1 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2019 1 29 03 |
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10.1186/s41205-019-0043-1 doi (DE-627)SPR038108577 (SPR)s41205-019-0043-1-e DE-627 ger DE-627 rakwb eng Odeh, Mohammad verfasserin aut Methods for verification of 3D printed anatomic model accuracy using cardiac models as an example 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2019 Background Medical 3D printing has brought the manufacturing world closer to the patient’s bedside than ever before. This requires hospitals and their personnel to update their quality assurance program to more appropriately accommodate the 3D printing fabrication process and the challenges that come along with it. Results In this paper, we explored different methods for verifying the accuracy of a 3D printed anatomical model. Methods included physical measurements, digital photographic measurements, surface scanning, photogrammetry, and computed tomography (CT) scans. The details of each verification method, as well as their benefits and challenges, are discussed. Conclusion There are multiple methods for model verification, each with benefits and drawbacks. The choice of which method to adopt into a quality assurance program is multifactorial and will depend on the type of 3D printed models being created, the training of personnel, and what resources are available within a 3D printed laboratory. Accuracy (dpeaa)DE-He213 Verification (dpeaa)DE-He213 Validation (dpeaa)DE-He213 3D printing (dpeaa)DE-He213 Additive manufacturing (dpeaa)DE-He213 Anatomical models (dpeaa)DE-He213 Levin, Dmitry aut Inziello, Jim aut Lobo Fenoglietto, Fluvio aut Mathur, Moses aut Hermsen, Joshua aut Stubbs, Jack aut Ripley, Beth (orcid)0000-0001-7723-169X aut Enthalten in 3D printing in medicine [Cham, Switzerland] : Springer International Publishing, 2015 5(2019), 1 vom: 29. März (DE-627)844435171 (DE-600)2843165-0 2365-6271 nnns volume:5 year:2019 number:1 day:29 month:03 https://dx.doi.org/10.1186/s41205-019-0043-1 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2019 1 29 03 |
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10.1186/s41205-019-0043-1 doi (DE-627)SPR038108577 (SPR)s41205-019-0043-1-e DE-627 ger DE-627 rakwb eng Odeh, Mohammad verfasserin aut Methods for verification of 3D printed anatomic model accuracy using cardiac models as an example 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2019 Background Medical 3D printing has brought the manufacturing world closer to the patient’s bedside than ever before. This requires hospitals and their personnel to update their quality assurance program to more appropriately accommodate the 3D printing fabrication process and the challenges that come along with it. Results In this paper, we explored different methods for verifying the accuracy of a 3D printed anatomical model. Methods included physical measurements, digital photographic measurements, surface scanning, photogrammetry, and computed tomography (CT) scans. The details of each verification method, as well as their benefits and challenges, are discussed. Conclusion There are multiple methods for model verification, each with benefits and drawbacks. The choice of which method to adopt into a quality assurance program is multifactorial and will depend on the type of 3D printed models being created, the training of personnel, and what resources are available within a 3D printed laboratory. Accuracy (dpeaa)DE-He213 Verification (dpeaa)DE-He213 Validation (dpeaa)DE-He213 3D printing (dpeaa)DE-He213 Additive manufacturing (dpeaa)DE-He213 Anatomical models (dpeaa)DE-He213 Levin, Dmitry aut Inziello, Jim aut Lobo Fenoglietto, Fluvio aut Mathur, Moses aut Hermsen, Joshua aut Stubbs, Jack aut Ripley, Beth (orcid)0000-0001-7723-169X aut Enthalten in 3D printing in medicine [Cham, Switzerland] : Springer International Publishing, 2015 5(2019), 1 vom: 29. März (DE-627)844435171 (DE-600)2843165-0 2365-6271 nnns volume:5 year:2019 number:1 day:29 month:03 https://dx.doi.org/10.1186/s41205-019-0043-1 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2019 1 29 03 |
allfieldsGer |
10.1186/s41205-019-0043-1 doi (DE-627)SPR038108577 (SPR)s41205-019-0043-1-e DE-627 ger DE-627 rakwb eng Odeh, Mohammad verfasserin aut Methods for verification of 3D printed anatomic model accuracy using cardiac models as an example 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2019 Background Medical 3D printing has brought the manufacturing world closer to the patient’s bedside than ever before. This requires hospitals and their personnel to update their quality assurance program to more appropriately accommodate the 3D printing fabrication process and the challenges that come along with it. Results In this paper, we explored different methods for verifying the accuracy of a 3D printed anatomical model. Methods included physical measurements, digital photographic measurements, surface scanning, photogrammetry, and computed tomography (CT) scans. The details of each verification method, as well as their benefits and challenges, are discussed. Conclusion There are multiple methods for model verification, each with benefits and drawbacks. The choice of which method to adopt into a quality assurance program is multifactorial and will depend on the type of 3D printed models being created, the training of personnel, and what resources are available within a 3D printed laboratory. Accuracy (dpeaa)DE-He213 Verification (dpeaa)DE-He213 Validation (dpeaa)DE-He213 3D printing (dpeaa)DE-He213 Additive manufacturing (dpeaa)DE-He213 Anatomical models (dpeaa)DE-He213 Levin, Dmitry aut Inziello, Jim aut Lobo Fenoglietto, Fluvio aut Mathur, Moses aut Hermsen, Joshua aut Stubbs, Jack aut Ripley, Beth (orcid)0000-0001-7723-169X aut Enthalten in 3D printing in medicine [Cham, Switzerland] : Springer International Publishing, 2015 5(2019), 1 vom: 29. März (DE-627)844435171 (DE-600)2843165-0 2365-6271 nnns volume:5 year:2019 number:1 day:29 month:03 https://dx.doi.org/10.1186/s41205-019-0043-1 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2019 1 29 03 |
allfieldsSound |
10.1186/s41205-019-0043-1 doi (DE-627)SPR038108577 (SPR)s41205-019-0043-1-e DE-627 ger DE-627 rakwb eng Odeh, Mohammad verfasserin aut Methods for verification of 3D printed anatomic model accuracy using cardiac models as an example 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2019 Background Medical 3D printing has brought the manufacturing world closer to the patient’s bedside than ever before. This requires hospitals and their personnel to update their quality assurance program to more appropriately accommodate the 3D printing fabrication process and the challenges that come along with it. Results In this paper, we explored different methods for verifying the accuracy of a 3D printed anatomical model. Methods included physical measurements, digital photographic measurements, surface scanning, photogrammetry, and computed tomography (CT) scans. The details of each verification method, as well as their benefits and challenges, are discussed. Conclusion There are multiple methods for model verification, each with benefits and drawbacks. The choice of which method to adopt into a quality assurance program is multifactorial and will depend on the type of 3D printed models being created, the training of personnel, and what resources are available within a 3D printed laboratory. Accuracy (dpeaa)DE-He213 Verification (dpeaa)DE-He213 Validation (dpeaa)DE-He213 3D printing (dpeaa)DE-He213 Additive manufacturing (dpeaa)DE-He213 Anatomical models (dpeaa)DE-He213 Levin, Dmitry aut Inziello, Jim aut Lobo Fenoglietto, Fluvio aut Mathur, Moses aut Hermsen, Joshua aut Stubbs, Jack aut Ripley, Beth (orcid)0000-0001-7723-169X aut Enthalten in 3D printing in medicine [Cham, Switzerland] : Springer International Publishing, 2015 5(2019), 1 vom: 29. März (DE-627)844435171 (DE-600)2843165-0 2365-6271 nnns volume:5 year:2019 number:1 day:29 month:03 https://dx.doi.org/10.1186/s41205-019-0043-1 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2019 1 29 03 |
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methods for verification of 3d printed anatomic model accuracy using cardiac models as an example |
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Methods for verification of 3D printed anatomic model accuracy using cardiac models as an example |
abstract |
Background Medical 3D printing has brought the manufacturing world closer to the patient’s bedside than ever before. This requires hospitals and their personnel to update their quality assurance program to more appropriately accommodate the 3D printing fabrication process and the challenges that come along with it. Results In this paper, we explored different methods for verifying the accuracy of a 3D printed anatomical model. Methods included physical measurements, digital photographic measurements, surface scanning, photogrammetry, and computed tomography (CT) scans. The details of each verification method, as well as their benefits and challenges, are discussed. Conclusion There are multiple methods for model verification, each with benefits and drawbacks. The choice of which method to adopt into a quality assurance program is multifactorial and will depend on the type of 3D printed models being created, the training of personnel, and what resources are available within a 3D printed laboratory. © The Author(s) 2019 |
abstractGer |
Background Medical 3D printing has brought the manufacturing world closer to the patient’s bedside than ever before. This requires hospitals and their personnel to update their quality assurance program to more appropriately accommodate the 3D printing fabrication process and the challenges that come along with it. Results In this paper, we explored different methods for verifying the accuracy of a 3D printed anatomical model. Methods included physical measurements, digital photographic measurements, surface scanning, photogrammetry, and computed tomography (CT) scans. The details of each verification method, as well as their benefits and challenges, are discussed. Conclusion There are multiple methods for model verification, each with benefits and drawbacks. The choice of which method to adopt into a quality assurance program is multifactorial and will depend on the type of 3D printed models being created, the training of personnel, and what resources are available within a 3D printed laboratory. © The Author(s) 2019 |
abstract_unstemmed |
Background Medical 3D printing has brought the manufacturing world closer to the patient’s bedside than ever before. This requires hospitals and their personnel to update their quality assurance program to more appropriately accommodate the 3D printing fabrication process and the challenges that come along with it. Results In this paper, we explored different methods for verifying the accuracy of a 3D printed anatomical model. Methods included physical measurements, digital photographic measurements, surface scanning, photogrammetry, and computed tomography (CT) scans. The details of each verification method, as well as their benefits and challenges, are discussed. Conclusion There are multiple methods for model verification, each with benefits and drawbacks. The choice of which method to adopt into a quality assurance program is multifactorial and will depend on the type of 3D printed models being created, the training of personnel, and what resources are available within a 3D printed laboratory. © The Author(s) 2019 |
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This requires hospitals and their personnel to update their quality assurance program to more appropriately accommodate the 3D printing fabrication process and the challenges that come along with it. Results In this paper, we explored different methods for verifying the accuracy of a 3D printed anatomical model. Methods included physical measurements, digital photographic measurements, surface scanning, photogrammetry, and computed tomography (CT) scans. The details of each verification method, as well as their benefits and challenges, are discussed. Conclusion There are multiple methods for model verification, each with benefits and drawbacks. 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