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

fYear

2009

fDate

16-19 Aug. 2009

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICEMI.2009.5274075

Filename

5274075