Creating three dimensional models of Alzheimer’s disease
Abstract Background Alzheimer’s disease prevalence will reach epidemic proportions in coming decades. There is a need for impactful educational materials to help patients, families, medical practitioners, and policy makers understand the nature and impact of the disease. Defining an effective workfl...
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Online Access: | http://link.springer.com/article/10.1186/s41205-017-0020-5 |
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doaj-8fc0e294d2c74bfd82ed6003924231aa2020-11-24T23:02:36ZengBMC3D Printing in Medicine2365-62712017-11-013111110.1186/s41205-017-0020-5Creating three dimensional models of Alzheimer’s diseaseMatthew Marks0Amy Alexander1Joseph Matsumoto2Jane Matsumoto3Jonathan Morris4Ronald Petersen5Clifford Jack6Tatsuya Oishi7David Jones8Department of Radiology, Mayo ClinicDepartment of Radiology, Mayo ClinicDepartments of Neurology, Mayo ClinicDepartment of Radiology, Mayo ClinicDepartment of Radiology, Mayo ClinicDepartments of Neurology, Mayo ClinicDepartment of Radiology, Mayo ClinicDepartments of Neurology, Mayo ClinicDepartments of Neurology, Mayo ClinicAbstract Background Alzheimer’s disease prevalence will reach epidemic proportions in coming decades. There is a need for impactful educational materials to help patients, families, medical practitioners, and policy makers understand the nature and impact of the disease. Defining an effective workflow to create such models from existing segmentation tools will be a valuable contribution in creating these patient-specific models. Results A step-by-step workflow was developed and used to take patients’ Digital Imaging and Computing in Medicine magnetic resonance brain images through a process resulting in illustrative 3D–printed brain and hippocampus models that clearly demonstrate the progressive degenerative changes caused by Alzheimer’s disease. We outline the specific technical steps of auto-segmentation, manual smoothing, Standard Triangle Language file customization, and 3D printing used to create these models. Conclusions Our explicated workflow can create effective models of Alzheimer’s brains that can be used in patient education, medical education, and policy forums.http://link.springer.com/article/10.1186/s41205-017-0020-5Hippocampus3D printingAlzheimer’s diseaseDementiaBrainAdditive manufacturing |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Matthew Marks Amy Alexander Joseph Matsumoto Jane Matsumoto Jonathan Morris Ronald Petersen Clifford Jack Tatsuya Oishi David Jones |
spellingShingle |
Matthew Marks Amy Alexander Joseph Matsumoto Jane Matsumoto Jonathan Morris Ronald Petersen Clifford Jack Tatsuya Oishi David Jones Creating three dimensional models of Alzheimer’s disease 3D Printing in Medicine Hippocampus 3D printing Alzheimer’s disease Dementia Brain Additive manufacturing |
author_facet |
Matthew Marks Amy Alexander Joseph Matsumoto Jane Matsumoto Jonathan Morris Ronald Petersen Clifford Jack Tatsuya Oishi David Jones |
author_sort |
Matthew Marks |
title |
Creating three dimensional models of Alzheimer’s disease |
title_short |
Creating three dimensional models of Alzheimer’s disease |
title_full |
Creating three dimensional models of Alzheimer’s disease |
title_fullStr |
Creating three dimensional models of Alzheimer’s disease |
title_full_unstemmed |
Creating three dimensional models of Alzheimer’s disease |
title_sort |
creating three dimensional models of alzheimer’s disease |
publisher |
BMC |
series |
3D Printing in Medicine |
issn |
2365-6271 |
publishDate |
2017-11-01 |
description |
Abstract Background Alzheimer’s disease prevalence will reach epidemic proportions in coming decades. There is a need for impactful educational materials to help patients, families, medical practitioners, and policy makers understand the nature and impact of the disease. Defining an effective workflow to create such models from existing segmentation tools will be a valuable contribution in creating these patient-specific models. Results A step-by-step workflow was developed and used to take patients’ Digital Imaging and Computing in Medicine magnetic resonance brain images through a process resulting in illustrative 3D–printed brain and hippocampus models that clearly demonstrate the progressive degenerative changes caused by Alzheimer’s disease. We outline the specific technical steps of auto-segmentation, manual smoothing, Standard Triangle Language file customization, and 3D printing used to create these models. Conclusions Our explicated workflow can create effective models of Alzheimer’s brains that can be used in patient education, medical education, and policy forums. |
topic |
Hippocampus 3D printing Alzheimer’s disease Dementia Brain Additive manufacturing |
url |
http://link.springer.com/article/10.1186/s41205-017-0020-5 |
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