Segmentation and quantification of brain tumor

Nowadays, the inside situation could be obtained by medical machines, such as computed tomography (CT), magnetic resonance imaging (MRI) scanner, etc. These noninvasive diagnosis means increase the precision of the diagnoses, at the same time decrease the pain of the patients. Brain tumor diagnoses benefit from these devises very much. In the brain MR image, the tumor is shown clearly. For the treatment, the physician also needs the quantification of the tumor area. This requires the abnormal part in the image to be segmented accurately; afterward the segmented area can be measured. This task could not be handled by hands totally. Vie computer can give great help during this procedure. In this paper we introduce one system to perform the task mentioned above. In this system, the brain tumor MR image is segmented semi-automatically. One deformable model-based method is adapted in the system. And by the graphic user interface, the segmentation can be intervened by user interactively at real time.