ArticlePloS one2020
A new simple brain segmentation method for extracerebral intracranial tumors.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Using three-dimensional model-based tumour volume change to predict the symptom improvement in patients with renal cell cancer.3 Biotech · 2024Article
- 3D color multimodality fusion imaging as an augmented reality educational and surgical planning tool for extracerebral tumors.Neurosurgical review · 2023Article
- Developing an Artificial Intelligence Solution to Autosegment the Edentulous Mandibular Bone for Implant Planning.European journal of dentistry · 2023Article
- False positive angiographic aneurysm of the anterior segment of the M1 bifurcation of the middle cerebral artery: a case report.Frontiers in neurology · 2023Article
- Augmented Reality-Assisted Craniotomy for Parasagittal and Convexity En Plaque Meningiomas and Custom-Made Cranio-Plasty: A Preliminary Laboratory Report.International journal of environmental research and public health · 2021Article
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Authors and funding
6 authors.
Funding
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Abstract
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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