A semi-automatic segmentation method for meningioma developed using a variational approach model
Liam Burrows,
Jay Patel,
Abdurrahman I Islim
et al.
Abstract:Background Meningioma is the commonest primary brain tumour. Volumetric post-contrast magnetic resonance imaging (MRI) is recognised as gold standard for delineation of meningioma volume but is hindered by manual processing times. We aimed to investigate the utility of a model-based variational approach in segmenting meningioma. Methods A database of patients with a meningioma (2007–2015) was queried for patients with a contrast-enhanced volumetric MRI, who had consented to a research tissue biobank. Manual se… Show more
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