Parallel visualization of large medical datasets based on computer cluster

Scientific visualization of medical images, which is of great value in medical research and clinic diagnosis, has been a focal field in recent years. After brief description of basic concepts, the essence and techniques of parallel visualization of large medical datasets are discussed. The Maximum Intensity Projection (MIP) algorithm is realized in parallel using common PC cluster and programming in IDL 6.0. Experimental results demonstrate that this parallel technology can provide promising and real-time results, which play great role in clinic diagnostic. Finally, discussions and some practical observation on the direction of further research are given as a conclusion.