中文说明：脑解剖区域的分割是医学图像分析中的基本问题。这项工作的目的是设计一个可以使用磁共振图像数据集进行脑肿瘤定量化的自动工具。脑肿瘤分割方法已在2D和3D MRI数据分割被开发和验证。这种方法不需要任何初始化，然而，其它的方法则需要在肿瘤内部进行初始化初始化。用这个方法，在完成手动分割程序的肿瘤识别后，调查了MRI数据用于改善脑肿瘤的形状近似和二维和三维可视化的手术规划和评估肿瘤的可能性。手术计划
English Description：
Segmentation of anatomical regions of the brain is the fundamental problem in medical image analysis. The aim of this work is to design an automated tool for brain tumor quantification using MRI image data sets. A brain tumor segmentation method has to be developed and validate segmentation on 2D & 3D MRI Data. This method does not require any initialization while the others require an initialization inside the tumor. In this, after a manual segmentation procedure the tumor identification, the investigations has been made for the potential use of MRI data for improving brain tumor shape approximation and 2D & 3D visualization for surgical planning and assessing tumor. Surgical planning now uses both 2D & 3D models that integrate data from multiple imaging modalities.Firstly, the work was carried over to detect the tumor in single slice of MRI data set and then it was extended to detect and calculate the volume of the tumor from multiple image MRI data sets. Ther