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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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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. |
format | Online Article Text |
id | pubmed-7164623 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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