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...

Full description

Bibliographic Details
Main Authors: Matthew Marks, Amy Alexander, Joseph Matsumoto, Jane Matsumoto, Jonathan Morris, Ronald Petersen, Clifford Jack, Tatsuya Oishi, David Jones
Format: Article
Language:English
Published: BMC 2017-11-01
Series:3D Printing in Medicine
Subjects:
Online Access:http://link.springer.com/article/10.1186/s41205-017-0020-5
id doaj-8fc0e294d2c74bfd82ed6003924231aa
record_format Article
spelling 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
work_keys_str_mv AT matthewmarks creatingthreedimensionalmodelsofalzheimersdisease
AT amyalexander creatingthreedimensionalmodelsofalzheimersdisease
AT josephmatsumoto creatingthreedimensionalmodelsofalzheimersdisease
AT janematsumoto creatingthreedimensionalmodelsofalzheimersdisease
AT jonathanmorris creatingthreedimensionalmodelsofalzheimersdisease
AT ronaldpetersen creatingthreedimensionalmodelsofalzheimersdisease
AT cliffordjack creatingthreedimensionalmodelsofalzheimersdisease
AT tatsuyaoishi creatingthreedimensionalmodelsofalzheimersdisease
AT davidjones creatingthreedimensionalmodelsofalzheimersdisease
_version_ 1725635959928651776