Title :
A simplified implementation of total variation iterative reconstruction algorithm suitable for parallel computation
Author_Institution :
Toshiba Med. Res. Inst. USA, Inc., Vernon Hills, IL, USA
fDate :
Oct. 24 2009-Nov. 1 2009
Abstract :
In this work, we proposed a simplified implementation of the total variation minimization iterative reconstruction algorithm for the conventional x-ray CT application, which was originally developed by the University of Chicago group. The simplifications make it possible for completely parallel computation that is suitable to be implemented with a GPU board. Reconstructed images from mathematical and real phantoms are demonstrated to verify the validity of our simplified algorithm.
Keywords :
computerised tomography; coprocessors; image reconstruction; iterative methods; medical image processing; minimisation; parallel processing; phantoms; GPU board; X-ray CT application; mathematical phantoms; parallel computation; real phantoms; total variation minimisation iterative reconstruction algorithm; Computed tomography; Concurrent computing; Detectors; Image reconstruction; Imaging phantoms; Iterative algorithms; Minimization methods; Reconstruction algorithms; TV; X-ray imaging;
Conference_Titel :
Nuclear Science Symposium Conference Record (NSS/MIC), 2009 IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4244-3961-4
Electronic_ISBN :
1095-7863
DOI :
10.1109/NSSMIC.2009.5402332
