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 realtime 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.
scientific visualization parallel visualization mazimum intensitypProjection (MIP) medical images
Min Tang Zixue Qiu
School of Electrical Engineering,Nantong University,Nantong 226019,China School of Mechanical Engineering,Nantong University,Nantong 226019,China
国际会议
2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)
北京
英文
3466-3468
2009-08-16(万方平台首次上网日期,不代表论文的发表时间)