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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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 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
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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 |
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1766040778083139584 |