Iterative reconstruction of CT images on GPUs

Author

Flores, L.A. ; Vidal, V. ; Mayo, P. ; Rodenas, F. ; Verdu, G.

Author_Institution

Dept. de Sist. Informaticos y Comput., Univ. Politec. de Valencia, Valencia, Spain

fYear

2013

fDate

3-7 July 2013

Firstpage

5143

Lastpage

5146

Abstract

Although widely used in nuclear medicine (gamma-camera, single photon emission computed tomography (SPECT), positron emission tomography (PET)), iterative reconstruction has not yet penetrated in CT. The main reason for this is that data sets in CT are much larger than in nuclear medicine and iterative reconstruction then becomes computationally very intensive. Graphical Processing Units (GPUs) provide the possibility to reduce effectively the high computational cost of their implementation. It is the goal of this work to develop a GPU-based algorithm to reconstruct high quality images from under sampled and noisy projection data.

Keywords

computerised tomography; graphics processing units; image reconstruction; iterative methods; medical image processing; positron emission tomography; single photon emission computed tomography; CT image; GPU-based algorithm; Graphical Processing Units; PET; SPECT; gamma-camera; high quality images; iterative reconstruction; noisy projection data; nuclear medicine; positron emission tomography; sampled projection data; single photon emission computed tomography; Acceleration; Computational efficiency; Computed tomography; Graphics processing units; Image reconstruction; Iterative methods; Sparse matrices;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE

Conference_Location

Osaka

ISSN

1557-170X

Type

conf

DOI

10.1109/EMBC.2013.6610706

Filename

6610706