Automated Segmentation of MRI of Brain Tumors
Michael R. Kaus, Simon Keith Warfield, Arya Nabavi, Peter McLaren Black, Ferenc Andras Jolesz, Ron Kikinis · 2001
An automated brain tumor segmentation method was developed and validated against manual segmentation on 3D-MRI of 20 patients with meningiomas and low grade gliomas. The automated method allows the rapid identification (5-10 minutes operator time) of brain and tumor tissue with accuracy and reproducibility comparable to manual segmentation (3-5 hours operator time) making automated segmentation practical for low grade gliomas and meningiomas.