New Directions in 3D Medical Modeling: 3D-Printing Anatomy and Functions in Neurosurgical Planning

This paper illustrates the feasibility and utility of combining cranial anatomy and brain function on the same 3D-printed model, as evidenced by a neurosurgical planning case study of a 29-year-old female patient with a low-grade frontal-lobe glioma. We herein report the rapid prototyping methodolog...

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Published in:Journal of Healthcare Engineering
Main Authors: Gargiulo, Paolo, Árnadóttir, Íris, Gíslason, Magnús, Edmunds, Kyle, Ólafsson, Ingvar
Format: Text
Language:English
Published: Hindawi 2017
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5480056/
https://doi.org/10.1155/2017/1439643
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spelling ftpubmed:oai:pubmedcentral.nih.gov:5480056 2023-05-15T16:50:42+02:00 New Directions in 3D Medical Modeling: 3D-Printing Anatomy and Functions in Neurosurgical Planning Gargiulo, Paolo Árnadóttir, Íris Gíslason, Magnús Edmunds, Kyle Ólafsson, Ingvar 2017 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5480056/ https://doi.org/10.1155/2017/1439643 en eng Hindawi http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5480056/ http://dx.doi.org/10.1155/2017/1439643 Copyright © 2017 Paolo Gargiulo et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. CC-BY Research Article Text 2017 ftpubmed https://doi.org/10.1155/2017/1439643 2017-07-09T00:04:58Z This paper illustrates the feasibility and utility of combining cranial anatomy and brain function on the same 3D-printed model, as evidenced by a neurosurgical planning case study of a 29-year-old female patient with a low-grade frontal-lobe glioma. We herein report the rapid prototyping methodology utilized in conjunction with surgical navigation to prepare and plan a complex neurosurgery. The method introduced here combines CT and MRI images with DTI tractography, while using various image segmentation protocols to 3D model the skull base, tumor, and five eloquent fiber tracts. This 3D model is rapid-prototyped and coregistered with patient images and a reported surgical navigation system, establishing a clear link between the printed model and surgical navigation. This methodology highlights the potential for advanced neurosurgical preparation, which can begin before the patient enters the operation theatre. Moreover, the work presented here demonstrates the workflow developed at the National University Hospital of Iceland, Landspitali, focusing on the processes of anatomy segmentation, fiber tract extrapolation, MRI/CT registration, and 3D printing. Furthermore, we present a qualitative and quantitative assessment for fiber tract generation in a case study where these processes are applied in the preparation of brain tumor resection surgery. Text Iceland PubMed Central (PMC) Journal of Healthcare Engineering 2017 1 8
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Research Article
spellingShingle Research Article
Gargiulo, Paolo
Árnadóttir, Íris
Gíslason, Magnús
Edmunds, Kyle
Ólafsson, Ingvar
New Directions in 3D Medical Modeling: 3D-Printing Anatomy and Functions in Neurosurgical Planning
topic_facet Research Article
description This paper illustrates the feasibility and utility of combining cranial anatomy and brain function on the same 3D-printed model, as evidenced by a neurosurgical planning case study of a 29-year-old female patient with a low-grade frontal-lobe glioma. We herein report the rapid prototyping methodology utilized in conjunction with surgical navigation to prepare and plan a complex neurosurgery. The method introduced here combines CT and MRI images with DTI tractography, while using various image segmentation protocols to 3D model the skull base, tumor, and five eloquent fiber tracts. This 3D model is rapid-prototyped and coregistered with patient images and a reported surgical navigation system, establishing a clear link between the printed model and surgical navigation. This methodology highlights the potential for advanced neurosurgical preparation, which can begin before the patient enters the operation theatre. Moreover, the work presented here demonstrates the workflow developed at the National University Hospital of Iceland, Landspitali, focusing on the processes of anatomy segmentation, fiber tract extrapolation, MRI/CT registration, and 3D printing. Furthermore, we present a qualitative and quantitative assessment for fiber tract generation in a case study where these processes are applied in the preparation of brain tumor resection surgery.
format Text
author Gargiulo, Paolo
Árnadóttir, Íris
Gíslason, Magnús
Edmunds, Kyle
Ólafsson, Ingvar
author_facet Gargiulo, Paolo
Árnadóttir, Íris
Gíslason, Magnús
Edmunds, Kyle
Ólafsson, Ingvar
author_sort Gargiulo, Paolo
title New Directions in 3D Medical Modeling: 3D-Printing Anatomy and Functions in Neurosurgical Planning
title_short New Directions in 3D Medical Modeling: 3D-Printing Anatomy and Functions in Neurosurgical Planning
title_full New Directions in 3D Medical Modeling: 3D-Printing Anatomy and Functions in Neurosurgical Planning
title_fullStr New Directions in 3D Medical Modeling: 3D-Printing Anatomy and Functions in Neurosurgical Planning
title_full_unstemmed New Directions in 3D Medical Modeling: 3D-Printing Anatomy and Functions in Neurosurgical Planning
title_sort new directions in 3d medical modeling: 3d-printing anatomy and functions in neurosurgical planning
publisher Hindawi
publishDate 2017
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5480056/
https://doi.org/10.1155/2017/1439643
genre Iceland
genre_facet Iceland
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5480056/
http://dx.doi.org/10.1155/2017/1439643
op_rights Copyright © 2017 Paolo Gargiulo et al.
http://creativecommons.org/licenses/by/4.0/
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
op_rightsnorm CC-BY
op_doi https://doi.org/10.1155/2017/1439643
container_title Journal of Healthcare Engineering
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