Title of article :
Creating three dimensional models of Alzheimer’s disease
Author/Authors :
Jones, David Departments of Neurology - Mayo Clinic - Rochester - MN , USA , Matsumoto, Joseph Departments of Neurology - Mayo Clinic - Rochester - MN , USA , Petersen, Ronald Departments of Neurology - Mayo Clinic - Rochester - MN , USA , Oishi, Tatsuya Departments of Neurology - Mayo Clinic - Rochester - MN , USA , Marks, Matthew Department of Radiology - Mayo Clinic - Rochester - MN , USA , Alexander, Amy Department of Radiology - Mayo Clinic - Rochester - MN , USA , Matsumoto, Jane Department of Radiology - Mayo Clinic - Rochester - MN , USA , Morris, Jonathan Department of Radiology - Mayo Clinic - Rochester - MN , USA , Jack Jr., Clifford Department of Radiology - Mayo Clinic - Rochester - MN , USA
Pages :
11
From page :
1
To page :
11
Abstract :
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.
Keywords :
Additive manufacturing , Hippocampus , 3D printing , Alzheimer’s disease , Dementia Brain
Journal title :
3D Printing in Medicine
Serial Year :
2017
Full Text URL :
Record number :
2617638
Link To Document :
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