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...

Full description

Bibliographic Details
Published in:Journal of Healthcare Engineering
Main Authors: Paolo Gargiulo, Íris Árnadóttir, Magnús Gíslason, Kyle Edmunds, Ingvar Ólafsson
Format: Article in Journal/Newspaper
Language:English
Published: Hindawi Limited 2017
Subjects:
Online Access:https://doi.org/10.1155/2017/1439643
https://doaj.org/article/5e058a9380004d33ba6363a2fad7cf83
id ftdoajarticles:oai:doaj.org/article:5e058a9380004d33ba6363a2fad7cf83
record_format openpolar
spelling ftdoajarticles:oai:doaj.org/article:5e058a9380004d33ba6363a2fad7cf83 2023-05-15T16:50:39+02:00 New Directions in 3D Medical Modeling: 3D-Printing Anatomy and Functions in Neurosurgical Planning Paolo Gargiulo Íris Árnadóttir Magnús Gíslason Kyle Edmunds Ingvar Ólafsson 2017-01-01T00:00:00Z https://doi.org/10.1155/2017/1439643 https://doaj.org/article/5e058a9380004d33ba6363a2fad7cf83 EN eng Hindawi Limited http://dx.doi.org/10.1155/2017/1439643 https://doaj.org/toc/2040-2295 https://doaj.org/toc/2040-2309 2040-2295 2040-2309 doi:10.1155/2017/1439643 https://doaj.org/article/5e058a9380004d33ba6363a2fad7cf83 Journal of Healthcare Engineering, Vol 2017 (2017) Medicine (General) R5-920 Medical technology R855-855.5 article 2017 ftdoajarticles https://doi.org/10.1155/2017/1439643 2022-12-31T13:47:17Z 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. Article in Journal/Newspaper Iceland Directory of Open Access Journals: DOAJ Articles Journal of Healthcare Engineering 2017 1 8
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Medicine (General)
R5-920
Medical technology
R855-855.5
spellingShingle Medicine (General)
R5-920
Medical technology
R855-855.5
Paolo Gargiulo
Íris Árnadóttir
Magnús Gíslason
Kyle Edmunds
Ingvar Ólafsson
New Directions in 3D Medical Modeling: 3D-Printing Anatomy and Functions in Neurosurgical Planning
topic_facet Medicine (General)
R5-920
Medical technology
R855-855.5
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 Article in Journal/Newspaper
author Paolo Gargiulo
Íris Árnadóttir
Magnús Gíslason
Kyle Edmunds
Ingvar Ólafsson
author_facet Paolo Gargiulo
Íris Árnadóttir
Magnús Gíslason
Kyle Edmunds
Ingvar Ólafsson
author_sort Paolo Gargiulo
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 Limited
publishDate 2017
url https://doi.org/10.1155/2017/1439643
https://doaj.org/article/5e058a9380004d33ba6363a2fad7cf83
genre Iceland
genre_facet Iceland
op_source Journal of Healthcare Engineering, Vol 2017 (2017)
op_relation http://dx.doi.org/10.1155/2017/1439643
https://doaj.org/toc/2040-2295
https://doaj.org/toc/2040-2309
2040-2295
2040-2309
doi:10.1155/2017/1439643
https://doaj.org/article/5e058a9380004d33ba6363a2fad7cf83
op_doi https://doi.org/10.1155/2017/1439643
container_title Journal of Healthcare Engineering
container_volume 2017
container_start_page 1
op_container_end_page 8
_version_ 1766040778083139584