Creating patient-specific anatomical models for 3D printing and AR/VR: a supplement for the 2018 Radiological Society of North America (RSNA) hands-on course
Abstract Advanced visualization of medical image data in the form of three-dimensional (3D) printing continues to expand in clinical settings and many hospitals have started to adapt 3D technologies to aid in patient care. It is imperative that radiologists and other medical professionals understand...
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Online Access: | https://doi.org/10.1186/s41205-019-0054-y |
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doaj-0a6fe050465542a188de2623fd77b2d92021-01-03T12:10:49ZengBMC3D Printing in Medicine2365-62712019-12-015111010.1186/s41205-019-0054-yCreating patient-specific anatomical models for 3D printing and AR/VR: a supplement for the 2018 Radiological Society of North America (RSNA) hands-on courseNicole Wake0Amy E. Alexander1Andy M. Christensen2Peter C. Liacouras3Maureen Schickel4Todd Pietila5Jane Matsumoto6Department of Radiology, Montefiore Medical Center, Albert Einstein College of MedicineDepartment of Radiology, Mayo ClinicDepartment of Radiology, The Ottawa Hospital3D Medical Applications Center, Walter Reed National Military Medical CenterMaterialise USAMaterialise USADepartment of Radiology, Mayo ClinicAbstract Advanced visualization of medical image data in the form of three-dimensional (3D) printing continues to expand in clinical settings and many hospitals have started to adapt 3D technologies to aid in patient care. It is imperative that radiologists and other medical professionals understand the multi-step process of converting medical imaging data to digital files. To educate health care professionals about the steps required to prepare DICOM data for 3D printing anatomical models, hands-on courses have been delivered at the Radiological Society of North America (RSNA) annual meeting since 2014. In this paper, a supplement to the RSNA 2018 hands-on 3D printing course, we review methods to create cranio-maxillofacial (CMF), orthopedic, and renal cancer models which can be 3D printed or visualized in augmented reality (AR) or virtual reality (VR).https://doi.org/10.1186/s41205-019-0054-y3D printingVirtual realityAugmented reality |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nicole Wake Amy E. Alexander Andy M. Christensen Peter C. Liacouras Maureen Schickel Todd Pietila Jane Matsumoto |
spellingShingle |
Nicole Wake Amy E. Alexander Andy M. Christensen Peter C. Liacouras Maureen Schickel Todd Pietila Jane Matsumoto Creating patient-specific anatomical models for 3D printing and AR/VR: a supplement for the 2018 Radiological Society of North America (RSNA) hands-on course 3D Printing in Medicine 3D printing Virtual reality Augmented reality |
author_facet |
Nicole Wake Amy E. Alexander Andy M. Christensen Peter C. Liacouras Maureen Schickel Todd Pietila Jane Matsumoto |
author_sort |
Nicole Wake |
title |
Creating patient-specific anatomical models for 3D printing and AR/VR: a supplement for the 2018 Radiological Society of North America (RSNA) hands-on course |
title_short |
Creating patient-specific anatomical models for 3D printing and AR/VR: a supplement for the 2018 Radiological Society of North America (RSNA) hands-on course |
title_full |
Creating patient-specific anatomical models for 3D printing and AR/VR: a supplement for the 2018 Radiological Society of North America (RSNA) hands-on course |
title_fullStr |
Creating patient-specific anatomical models for 3D printing and AR/VR: a supplement for the 2018 Radiological Society of North America (RSNA) hands-on course |
title_full_unstemmed |
Creating patient-specific anatomical models for 3D printing and AR/VR: a supplement for the 2018 Radiological Society of North America (RSNA) hands-on course |
title_sort |
creating patient-specific anatomical models for 3d printing and ar/vr: a supplement for the 2018 radiological society of north america (rsna) hands-on course |
publisher |
BMC |
series |
3D Printing in Medicine |
issn |
2365-6271 |
publishDate |
2019-12-01 |
description |
Abstract Advanced visualization of medical image data in the form of three-dimensional (3D) printing continues to expand in clinical settings and many hospitals have started to adapt 3D technologies to aid in patient care. It is imperative that radiologists and other medical professionals understand the multi-step process of converting medical imaging data to digital files. To educate health care professionals about the steps required to prepare DICOM data for 3D printing anatomical models, hands-on courses have been delivered at the Radiological Society of North America (RSNA) annual meeting since 2014. In this paper, a supplement to the RSNA 2018 hands-on 3D printing course, we review methods to create cranio-maxillofacial (CMF), orthopedic, and renal cancer models which can be 3D printed or visualized in augmented reality (AR) or virtual reality (VR). |
topic |
3D printing Virtual reality Augmented reality |
url |
https://doi.org/10.1186/s41205-019-0054-y |
work_keys_str_mv |
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