Automated Segmentation of MR Images of Brain Tumors

Michael R Kaus, Simon K Warfield, Arya Nabavi, Peter M Black, Ferenc A Jolesz, and Ron Kikinis. 2001. Automated Segmentation of MR Images of Brain Tumors. Radiology, 218, 2, Pp. 586-91.
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An automated brain tumor segmentation method was developed and validated against manual segmentation with three-dimensional magnetic resonance images in 20 patients with meningiomas and low-grade gliomas. The automated method (operator time, 5-10 minutes) allowed rapid identification of brain and tumor tissue with an accuracy and reproducibility comparable to those of manual segmentation (operator time, 3-5 hours), making automated segmentation practical for low-grade gliomas and meningiomas.
Last updated on 02/24/2023