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A new simple brain segmentation method for extracerebral intracranial tumors

Normal brain segmentation is available via FreeSurfer, Vbm, and Ibaspm software. However, these software packages cannot perform segmentation of the brain for patients with brain tumors. As we know, damage from extracerebral tumors to the brain occurs mainly by way of pushing and compressing while l...

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Detalles Bibliográficos
Autores principales: Hou, Xiaolin, Yang, Dongdong, Li, Dingjun, Liu, Meijun, Zhou, Yuan, Shi, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7164623/
https://www.ncbi.nlm.nih.gov/pubmed/32302315
http://dx.doi.org/10.1371/journal.pone.0230754
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author Hou, Xiaolin
Yang, Dongdong
Li, Dingjun
Liu, Meijun
Zhou, Yuan
Shi, Min
author_facet Hou, Xiaolin
Yang, Dongdong
Li, Dingjun
Liu, Meijun
Zhou, Yuan
Shi, Min
author_sort Hou, Xiaolin
collection PubMed
description Normal brain segmentation is available via FreeSurfer, Vbm, and Ibaspm software. However, these software packages cannot perform segmentation of the brain for patients with brain tumors. As we know, damage from extracerebral tumors to the brain occurs mainly by way of pushing and compressing while leaving the structure of the brain intact. Three-dimensional (3D) imaging, augmented reality (AR), and virtual reality (VR) technology have begun to be applied in clinical practice. The free medical open-source software 3D Slicer allows us to perform 3D simulations on a computer and requires little user interaction. Moreover, 3D Slicer can integrate with the third-party software mentioned above. The relationship between the tumor and surrounding brain tissue can be judged, but accurate brain segmentation cannot be performed using 3D Slicer. In this study, we combine 3D Slicer and FreeSurfer to provide a novel brain segmentation method for extracerebral tumors. This method can help surgeons identify the “real” relationship between the lesion and adjacent brain tissue before surgery and improve preoperative planning.
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spelling pubmed-71646232020-04-22 A new simple brain segmentation method for extracerebral intracranial tumors Hou, Xiaolin Yang, Dongdong Li, Dingjun Liu, Meijun Zhou, Yuan Shi, Min PLoS One Research Article Normal brain segmentation is available via FreeSurfer, Vbm, and Ibaspm software. However, these software packages cannot perform segmentation of the brain for patients with brain tumors. As we know, damage from extracerebral tumors to the brain occurs mainly by way of pushing and compressing while leaving the structure of the brain intact. Three-dimensional (3D) imaging, augmented reality (AR), and virtual reality (VR) technology have begun to be applied in clinical practice. The free medical open-source software 3D Slicer allows us to perform 3D simulations on a computer and requires little user interaction. Moreover, 3D Slicer can integrate with the third-party software mentioned above. The relationship between the tumor and surrounding brain tissue can be judged, but accurate brain segmentation cannot be performed using 3D Slicer. In this study, we combine 3D Slicer and FreeSurfer to provide a novel brain segmentation method for extracerebral tumors. This method can help surgeons identify the “real” relationship between the lesion and adjacent brain tissue before surgery and improve preoperative planning. Public Library of Science 2020-04-17 /pmc/articles/PMC7164623/ /pubmed/32302315 http://dx.doi.org/10.1371/journal.pone.0230754 Text en © 2020 Hou et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Hou, Xiaolin
Yang, Dongdong
Li, Dingjun
Liu, Meijun
Zhou, Yuan
Shi, Min
A new simple brain segmentation method for extracerebral intracranial tumors
title A new simple brain segmentation method for extracerebral intracranial tumors
title_full A new simple brain segmentation method for extracerebral intracranial tumors
title_fullStr A new simple brain segmentation method for extracerebral intracranial tumors
title_full_unstemmed A new simple brain segmentation method for extracerebral intracranial tumors
title_short A new simple brain segmentation method for extracerebral intracranial tumors
title_sort new simple brain segmentation method for extracerebral intracranial tumors
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7164623/
https://www.ncbi.nlm.nih.gov/pubmed/32302315
http://dx.doi.org/10.1371/journal.pone.0230754
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