Segmentation of meningiomas and low grade gliomas in MRI

Abstract

Computer assisted surgical planning and image guided technology have become increasingly used in neurosurgery. We have developed a system based on ATmC (Adaptive Template moderated Classification) for the automated segmentation of 3D MRI brain data sets of patients with brain tumors (meningiomas and low grade gliomas) into the skin, the brain, the ventricles and the tumor. In a validation study of 13 patients with brain tumors, the segmentation results of the automated method are compared to manual segmentations carried out by 4 independent trained human observers. It is shown that the automated method segments brain and tumor with accuracy comparable to the manual method and with improved reproducibility.