Title :
Parallel visualization of large medical datasets based on computer cluster
Author :
Tang, Min ; Qiu, Zixue
Author_Institution :
Sch. of Electr. Eng., Nantong Univ., Nantong, China
Abstract :
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.
Keywords :
data visualisation; medical computing; parallel processing; IDL 6.0; clinic diagnosis; common PC cluster; computer cluster; large medical datasets; maximum intensity projection; medical images; medical research; parallel technology; parallel visualization; scientific visualization; Biomedical imaging; Computed tomography; Concurrent computing; Data visualization; Displays; Image analysis; Instruments; Master-slave; Medical diagnostic imaging; Medical simulation; maximum intensitypProjection (MIP); medical images; parallel visualization; scientific visualization;
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
DOI :
10.1109/ICEMI.2009.5274075
