A simplified implementation of total variation iterative reconstruction algorithm suitable for parallel computation

Author

Shi, Daxin

Author_Institution

Toshiba Med. Res. Inst. USA, Inc., Vernon Hills, IL, USA

fYear

2009

fDate

Oct. 24 2009-Nov. 1 2009

Firstpage

4130

Lastpage

4133

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Nuclear Science Symposium Conference Record (NSS/MIC), 2009 IEEE

Conference_Location

Orlando, FL

ISSN

1095-7863

Print_ISBN

978-1-4244-3961-4

Electronic_ISBN

1095-7863

Type

conf

DOI

10.1109/NSSMIC.2009.5402332

Filename

5402332