Automatic analysis of brain pathology based on image content

Automatic analysis of brain pathology is an important research subject in the computer-aided diagnosis field and a hotspot with a bright future in medical image diagnosis technology. This work presents a survey on publications concerning this subject. The methods on automatic segmentation and recognition of brain tumor are introduced, which are mainly brought forward by Howard Medical School. Medical image registration and segmentation are basis technologies and important problems in pathological analysis, which are briefly reviewed. At last, an approach on automatic analysis of brain pathology based on atlas and template is presented according to the recent developments. The steps and technological problems are introduced.