Brain Tumors, Multi-modal Medical Image Visualization And System Realization

As one of the serious diseases threatening the health of human being, the brain tumor has an increasing incidence. Owing to the application of some new imaging techniques to clinic, great achievements have been done in the diagnosis and treatment of the brain tumor. At present CT and MRI are the common uses in medical imaging.The processing of medical images with multi-modality is a new research field, which involves the knowledge of a lot of variable scientific fields, needing the guidance of the medical experts and having the features of the combination of the man and machine. Its regiment includes medical images' data access, registration, fusion, segmentation and three-dimensional visualization.The visualization of medical data has been one of the most vigorous fields in the data visualization. Visualization of medical images is widely used in diagnostic, surgical planning and simulating, and radiotherapy planning.The brain tumor is our object for research. First, single value decomposition is used to register CT and MRI images. Second, fuzzy c means (FCM) method is adopted for segmentation. Last, Marching cube (MC) algorithm is applied to reconstruction of the image.An elementary visualization system is achieved through our work. We can exercise registration, fusion, segmentation and three-dimensional reconstruction of the medical images in personal computer.Although our study is premature with the lack of quantitative assessment of the result, the paper can lay a foundation to the further research for visualization algorithm and system platform which is appropriate to personal computer.